spinePatientsDetail
2024-03-12
Data Source: Mater Dive Port 7
Load library package
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## wineLoad file & some variables values
- Re-code values of Referral.Source, Eligibility, Area.of.Residence, Booking.Type, Reason.for.Cancellation
- Calculate difference of dates, difference of Home and Present address
main <- read.csv("SpinePatientsDetail.csv")
main <- subset(main, Attendance.Year < 2024)
## View variable types
main %>% glimpse() #glimpse from library(dplyr)## Rows: 82,543
## Columns: 45
## $ Record.Type <chr> "Attendance", "Attendance", "Attendance",…
## $ Clinic.Code <int> 1038, 1229, 1229, 1229, 1229, 1059, 726, …
## $ Clinic.Type <chr> "GEN : GENERAL", "GEN : GENERAL", "GEN : …
## $ NurseFlag <chr> "N", "N", "N", "N", "N", "Y", "N", "N", "…
## $ Medical.Record.Number <int> 118, 118, 118, 118, 118, 367, 532, 532, 5…
## $ Gender <chr> "Female", "Female", "Female", "Female", "…
## $ Patient.Name <chr> "ST LEGER KATHLEEN", "ST LEGER KATHLEEN",…
## $ Attendance.Day <chr> "Friday", "Tuesday", "Tuesday", "Tuesday"…
## $ Attendance.MonthYear <chr> "May-23", "May-23", "May-23", "May-23", "…
## $ Attendance.Date <chr> "12/05/2023", "16/05/2023", "23/05/2023",…
## $ Attendance.Type.Description <chr> "RETURN", "RETURN", "RETURN", "RETURN", "…
## $ Referral.Source <chr> "A : EMERGENCY DEPT", "A : EMERGENCY DEPT…
## $ Clinical.Specialty.Group <chr> "Surgery", "Surgery", "Surgery", "Surgery…
## $ Specialty.Description.Mater <chr> "Orthopaedics", "Orthopaedics", "Orthopae…
## $ Consultant <chr> "MOROP : MORONEY MR. PAUL", "COLGAN : COL…
## $ Insurance.Scheme <chr> "D : MEDICAL CARD HOLDER", "D : MEDICAL C…
## $ Eligibility <chr> "01 : CAT 1 (MEDICAL CARD)", "01 : CAT 1 …
## $ Age.at.Attendance <int> 78, 78, 78, 78, 78, 77, 67, 67, 67, 67, 6…
## $ Referring.Hospital <chr> ":", ":", ":", ":", ":", ":", ":", ":", "…
## $ Area.of.Residence <chr> "0111 : DUBLIN 11", "0111 : DUBLIN 11", "…
## $ Attendance.Year <int> 2023, 2023, 2023, 2023, 2023, 2021, 2021,…
## $ Attendance.Month <chr> "May", "May", "May", "May", "June", "Apri…
## $ Age.at.Attendance.Cat.HSE <chr> "75 - 84", "75 - 84", "75 - 84", "75 - 84…
## $ Pathway.Number <int> 57091024, 57094901, 57094901, 57094901, 5…
## $ Present.Address <chr> "23 CLOONLARA ROAD, FINGLAS, DUBLIN 11", …
## $ Home.Address <chr> "23 CLOONLARA ROAD, FINGLAS, DUBLIN 11", …
## $ Home.Phone.No <chr> "8345436", "8345436", "8345436", "8345436…
## $ Mobile.Phone.No <chr> "", "", "", "", "", "086 0578834", "086 8…
## $ Appointment.Date...Time <chr> "", "", "", "", "", "", "20210108 11:00:0…
## $ X <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ Booking.Type <chr> "C : New Virtual Phone", "R : RETURN", "…
## $ Booked.Date <chr> "11/05/2023", "12/05/2023", "16/05/2023",…
## $ Booked.Time <chr> "13:27:00", "17:47:00", "12:35:00", "08:4…
## $ Cancelled.Indicator <chr> "", "", "", "", "", "", "Rescheduled Appt…
## $ Cancellation.Group <chr> "N/A", "N/A", "N/A", "N/A", "N/A", "N/A",…
## $ Reason.For.Cancellation <chr> "", "", "", "", "", "", "COH : Covid 19 O…
## $ Reason.for.Cancellation.Desc <chr> "", "", "", "", "", "", "Covid 19 Outbrea…
## $ Reason.for.Cancel.Text <chr> "", "", "", "", "", "", "", "as per mr mo…
## $ Rebooked.Indicator..HIS. <chr> "", "", "", "", "", "", "Yes", "Yes", "No…
## $ Hospital.Catchment <chr> "Mater Catchment", "Mater Catchment", "Ma…
## $ No.Attendances <int> 1, 1, 1, 1, 1, 1, NA, NA, NA, 1, NA, 1, 1…
## $ No.New.Attendances <int> 0, 0, 0, 0, 0, 1, NA, NA, NA, 0, NA, 0, 0…
## $ No.Return.Attendances <int> 1, 1, 1, 1, 1, 0, NA, NA, NA, 1, NA, 1, 1…
## $ No.DNAs <int> NA, NA, NA, NA, NA, NA, 0, 0, 1, NA, 1, N…
## $ No.Cancels <int> NA, NA, NA, NA, NA, NA, 1, 1, 0, NA, 0, N…head(main)## Record.Type Clinic.Code Clinic.Type NurseFlag
## 1 Attendance 1038 GEN : GENERAL N
## 2 Attendance 1229 GEN : GENERAL N
## 3 Attendance 1229 GEN : GENERAL N
## 4 Attendance 1229 GEN : GENERAL N
## 5 Attendance 1229 GEN : GENERAL N
## 6 Attendance 1059 MSK : MUSCULOSKELETAL CLINIC Y
## Medical.Record.Number Gender Patient.Name Attendance.Day
## 1 118 Female ST LEGER KATHLEEN Friday
## 2 118 Female ST LEGER KATHLEEN Tuesday
## 3 118 Female ST LEGER KATHLEEN Tuesday
## 4 118 Female ST LEGER KATHLEEN Tuesday
## 5 118 Female ST LEGER KATHLEEN Tuesday
## 6 367 Male SCULLY GERARD Thursday
## Attendance.MonthYear Attendance.Date Attendance.Type.Description
## 1 May-23 12/05/2023 RETURN
## 2 May-23 16/05/2023 RETURN
## 3 May-23 23/05/2023 RETURN
## 4 May-23 30/05/2023 RETURN
## 5 Jun-23 20/06/2023 RETURN
## 6 Apr-21 08/04/2021 NEW
## Referral.Source Clinical.Specialty.Group Specialty.Description.Mater
## 1 A : EMERGENCY DEPT Surgery Orthopaedics
## 2 A : EMERGENCY DEPT Surgery Orthopaedics
## 3 C : CLINIC Surgery Orthopaedics
## 4 C : CLINIC Surgery Orthopaedics
## 5 C : CLINIC Surgery Orthopaedics
## 6 G : GP Surgery Orthopaedics
## Consultant Insurance.Scheme Eligibility
## 1 MOROP : MORONEY MR. PAUL D : MEDICAL CARD HOLDER 01 : CAT 1 (MEDICAL CARD)
## 2 COLGAN : COLGAN MS. GRAINNE D : MEDICAL CARD HOLDER 01 : CAT 1 (MEDICAL CARD)
## 3 COLGAN : COLGAN MS. GRAINNE D : MEDICAL CARD HOLDER 01 : CAT 1 (MEDICAL CARD)
## 4 COLGAN : COLGAN MS. GRAINNE D : MEDICAL CARD HOLDER 01 : CAT 1 (MEDICAL CARD)
## 5 COLGAN : COLGAN MS. GRAINNE D : MEDICAL CARD HOLDER 01 : CAT 1 (MEDICAL CARD)
## 6 SYNNOT : SYNNOTT MR. KEITH D : MEDICAL CARD HOLDER 01 : CAT 1 (MEDICAL CARD)
## Age.at.Attendance Referring.Hospital Area.of.Residence Attendance.Year
## 1 78 : 0111 : DUBLIN 11 2023
## 2 78 : 0111 : DUBLIN 11 2023
## 3 78 : 0111 : DUBLIN 11 2023
## 4 78 : 0111 : DUBLIN 11 2023
## 5 78 : 0111 : DUBLIN 11 2023
## 6 77 : 0107 : DUBLIN 7 2021
## Attendance.Month Age.at.Attendance.Cat.HSE Pathway.Number
## 1 May 75 - 84 57091024
## 2 May 75 - 84 57094901
## 3 May 75 - 84 57094901
## 4 May 75 - 84 57094901
## 5 June 75 - 84 57094901
## 6 April 75 - 84 56113762
## Present.Address
## 1 23 CLOONLARA ROAD, FINGLAS, DUBLIN 11
## 2 23 CLOONLARA ROAD, FINGLAS, DUBLIN 11
## 3 23 CLOONLARA ROAD, FINGLAS, DUBLIN 11
## 4 23 CLOONLARA ROAD, FINGLAS, DUBLIN 11
## 5 23 CLOONLARA ROAD, FINGLAS, DUBLIN 11
## 6 599 CARNLOUGH ROAD, CABRA WEST, DUBLIN 7
## Home.Address Home.Phone.No Mobile.Phone.No
## 1 23 CLOONLARA ROAD, FINGLAS, DUBLIN 11 8345436
## 2 23 CLOONLARA ROAD, FINGLAS, DUBLIN 11 8345436
## 3 23 CLOONLARA ROAD, FINGLAS, DUBLIN 11 8345436
## 4 23 CLOONLARA ROAD, FINGLAS, DUBLIN 11 8345436
## 5 23 CLOONLARA ROAD, FINGLAS, DUBLIN 11 8345436
## 6 599 CARNLOUGH ROAD, CABRA WEST, DUBLIN 7 NO LANDLINE 086 0578834
## Appointment.Date...Time X Booking.Type Booked.Date Booked.Time
## 1 NA C : New Virtual Phone 11/05/2023 13:27:00
## 2 NA R : RETURN 12/05/2023 17:47:00
## 3 NA R : RETURN 16/05/2023 12:35:00
## 4 NA R : RETURN 24/05/2023 08:41:00
## 5 NA R : RETURN 30/05/2023 09:35:00
## 6 NA N : NEW 19/03/2021 08:51:00
## Cancelled.Indicator Cancellation.Group Reason.For.Cancellation
## 1 N/A
## 2 N/A
## 3 N/A
## 4 N/A
## 5 N/A
## 6 N/A
## Reason.for.Cancellation.Desc Reason.for.Cancel.Text Rebooked.Indicator..HIS.
## 1
## 2
## 3
## 4
## 5
## 6
## Hospital.Catchment No.Attendances No.New.Attendances No.Return.Attendances
## 1 Mater Catchment 1 0 1
## 2 Mater Catchment 1 0 1
## 3 Mater Catchment 1 0 1
## 4 Mater Catchment 1 0 1
## 5 Mater Catchment 1 0 1
## 6 Mater Catchment 1 1 0
## No.DNAs No.Cancels
## 1 NA NA
## 2 NA NA
## 3 NA NA
## 4 NA NA
## 5 NA NA
## 6 NA NA#sample <- main %>% group_by(main$Record.Type)
#samplePatients <- sample_frac(main,0.1,replace = F)
## Remove NAs or impute NAs if necessary
allMissing = is.na(main)
counts = colSums(allMissing)
counts [counts>0]## X Reason.for.Cancel.Text No.Attendances
## 82543 1 25896
## No.New.Attendances No.Return.Attendances No.DNAs
## 25896 25896 56647
## No.Cancels
## 56647# main <- na.omit(main)
print(is.data.frame(main))## [1] TRUE## Variables description
unique(main$Record.Type)## [1] "Attendance" "Cancellation" "DNA"unique(main$Clinic.Type)## [1] "GEN : GENERAL" "MSK : MUSCULOSKELETAL CLINIC"
## [3] "POD : PODIATRY" "SPN : SPINAL CLINIC"
## [5] "ULC : UPPER LIMB CLINIC" "PLS : NTPF ORTHO CLINIC"
## [7] "COM : BALLYMUN COMMUNITY MSK TRIAGE" "SCO : SCOLIOSIS CLINIC"
## [9] "COS : SUMMERHILL MSK TRIAGE CLINICS" "ABC : ACUTE BACK PAIN CLINIC"
## [11] "JIC : JOINT INJECTION CLINIC" "LBP : LOW BACK PAIN PATHWAY"
## [13] "MSN : MSK NTPF TRIAGE CLINIC" "BPL : BRACHIAL PLEXUS CLINIC"
## [15] "CGP : COMBINED GP CLINIC" "BPP : BACK PAIN PILOT CLINIC"
## [17] "FED : FRACTURE ED"unique(main$Clinic.Code)## [1] 1038 1229 1059 726 1095 806 1341 1371 444 1206 1207 1197 1282 1283 849
## [16] 416 786 211 1369 846 847 778 1195 1383 184 1065 1114 1498 1405 1368
## [31] 784 1363 1505 1236 524 1467 1471 1448 793 1198 792 854 791 1284 741
## [46] 1031 1362 921unique(main$NurseFlag)## [1] "N" "Y"#unique(main$Medical.Record.Number)
unique(main$Gender)## [1] "Female" "Male" "Unknown"unique(main$Attendance.Day)## [1] "Friday" "Tuesday" "Thursday" "Monday" "Wednesday" "Sunday"
## [7] "Saturday"unique(main$Attendance.MonthYear)## [1] "May-23" "Jun-23" "Apr-21" "Jan-21" "Feb-21" "Feb-23" "Dec-20" "Jan-23"
## [9] "Jan-20" "Feb-20" "Mar-20" "Apr-20" "May-20" "Jun-20" "Jul-20" "Aug-20"
## [17] "Oct-20" "Nov-20" "Mar-21" "Jun-21" "Jul-23" "Nov-23" "Dec-23" "Sep-20"
## [25] "May-22" "Oct-21" "Aug-22" "Jul-22" "Feb-22" "Mar-22" "Oct-23" "Mar-23"
## [33] "May-21" "Apr-22" "Jul-21" "Aug-21" "Jun-22" "Oct-22" "Sep-23" "Nov-21"
## [41] "Jan-22" "Sep-22" "Dec-21" "Nov-22" "Sep-21" "Aug-23" "Dec-22" "Apr-23"unique(main$Attendance.Type)## [1] "RETURN" "NEW" "WALK IN - RETURN"
## [4] "WALK IN - NEW" "VIRTUAL NEW" ""
## [7] "Return Virtual Phone" "New Virtual Phone" "Return Home Visit"
## [10] "VIRTUAL RETURN" "ADD ON - NEW" "New Virtual Video"
## [13] "ADD ON - RETURN" "EMERGENCY" "Return Virtual Video"unique(main$Attendance.Year)## [1] 2023 2021 2020 2022unique(main$Attendance.Month)## [1] "May" "June" "April" "January" "February" "December"
## [7] "March" "July" "August" "October" "November" "September"unique(main$Referral.Source)## [1] "A : EMERGENCY DEPT" "C : CLINIC"
## [3] "G : GP" "S : SELF"
## [5] "W : WARD" "O : OTHER CONSULTANT"
## [7] "H : OTHER HOSPITAL" "K : ED SMITHFIELD"
## [9] "R : ROOMS" "I : SWIFTCARE CLINIC"
## [11] "X : HEALTH CENTRE REFERRAL" "T : NTPF"
## [13] "Z : X-RAY" "B : HEALTH BOARD REFERRAL"
## [15] "N : BREAST CHECK (NBSP)" "V : VASCULAR LAB"
## [17] "D : DENTIST" "Q : REFERRED FROM CAWT INITIATIVE"
## [19] "E : OPTICIAN"unique(main$Consultant)## [1] "MOROP : MORONEY MR. PAUL" "COLGAN : COLGAN MS. GRAINNE"
## [3] "SYNNOT : SYNNOTT MR. KEITH" "XXXXXX : Unknown"
## [5] "MARA : MARA MR. MICHAEL" "LYONSF : LYONS MR. FRANK"
## [7] "BRIAIN : O BRIAIN MR. DAVID" "OHEIRE : O'HEIREAMHOIN MR. SVEN"
## [9] "TIMLIN : TIMLIN MR. MARCUS" "BUTLER : BUTLER PROF. JOSEPH"
## [11] "CASSID : CASSIDY MS. NOELLE" "MORRI : MORRIS MR. SEAMUS"
## [13] "HYNESD : HYNES MR. DARRAGH" "ONEISH : O NEILL MR. SHANE"
## [15] "CASHMA : CASHMAN MR. JAMES" "MURMAR : MURPHY MR. MARTIN"
## [17] "DODDSM : DODDS MR. MICHAEL" "MCSORK : MCSORLEY MR. KEVIN"
## [19] "LYNCSA : LYNCH MR. SAM" "CARMOO : CARMODY MR. OLAN"
## [21] "ORTCON : ORTHOPAEDIC CONSULTS" "FRA : FRACTURE CONSULTS"unique(main$Insurance.Scheme)## [1] "D : MEDICAL CARD HOLDER" "S : SELF"
## [3] "U : UNKNOWN" "V : VHI"
## [5] "B : LAYA HEALTHCARE" "I : IRISH LIFE HEALTH"
## [7] "O : OTHER" "G : GARDA SCHEME"
## [9] "P : PRISON OFFICERS" "E : E.S.B. SCHEME"
## [11] "A : ARMY SCHEME" "H : HOSPITAL SATURDAY FUND"
## [13] "J : GLOHEALTH" "C : BLUE CROSS"
## [15] "M : MEDISHIELD"unique(main$Eligibility)## [1] "01 : CAT 1 (MEDICAL CARD)" "02 : CAT 2 (NON MEDICAL CARD)"
## [3] "12 : DAY CASE - EXEMPT STAT. CHG." "35 : INFECTIOUS OR SUSPECTED INFECT"
## [5] "16 : NTPF - EXEMPT STAT. CHG." "19 : STAFF EXEMPT-STATUTORY CHARGE"
## [7] "07 : RTA" "08 : ELIGIBILITY UNKNOWN"
## [9] "23 : NATIONAL COLORECTAL SCREENING" "20 : HAA CARD HEALTH AMENDMENT ACT"
## [11] "17 : ARMY - EXEMPT STAT. CHG." "24 : DIABETIC RETINA TREATMENT"
## [13] "21 : THE GOVERNOR - PRISONERS" "10 : UK/NI - EXEMPT STAT.CHG."
## [15] "11 : ANTI D/RESEARCH/TRIAL" "03 : CAT 3 (15000 OR MORE)"
## [17] "06 : NON EU-VISITOR" "13 : LONG STAY - EXEMPT STAT. CHG."
## [19] "05 : EU-VISITOR NO EHIC" "15 : SPECIAL OLYMPICS WORLD GAMES"
## [21] "18 : EHIC - EXEMPT STAT. CHG." "25 : UKRAINIAN CITIZEN"
## [23] "26 : U16 EXEMPT STAT. CHARGE"unique(main$Age.at.Attendance.Cat.HSE)## [1] "75 - 84" "65 - 74" "85 >=" "55 - 64" "0 - 4" "45 - 54" "25 - 34"
## [8] "35 - 44" "15 - 24" "Oct-14" "05-Sep"unique(main$Area.of.Residence)## [1] "0111 : DUBLIN 11" "0107 : DUBLIN 7"
## [3] "0100 : DUBLIN NTH" "0101 : DUBLIN 1"
## [5] "0103 : DUBLIN 3" "0115 : DUBLIN 15"
## [7] "0117 : DUBLIN 17" "0109 : DUBLIN 9"
## [9] "0600 : WEXFORD" "0105 : DUBLIN 5"
## [11] "0113 : DUBLIN 13" "2900 : CAVAN"
## [13] "0206 : DUBLIN 6" "0220 : DUBLIN 20"
## [15] "0212 : DUBLIN 12" "0400 : WICKLOW"
## [17] "0202 : DUBLIN 2" "3100 : LOUTH"
## [19] "3200 : MEATH" "0000 : UNKNOWN"
## [21] "0208 : DUBLIN 8" "0214 : DUBLIN 14"
## [23] "0222 : DUBLIN 22" "0300 : KILDARE"
## [25] "2400 : OFFALY" "0216 : DUBLIN 16"
## [27] "0204 : DUBLIN 4" "0210 : DUBLIN 10"
## [29] "0224 : DUBLIN 24" "2300 : WESTMEATH"
## [31] "1300 : KERRY" "2500 : LAOIS"
## [33] "2200 : LONGFORD" "1000 : WATERFORD"
## [35] "2800 : DONEGAL" "0500 : CARLOW"
## [37] "3000 : MONAGHAN" "0200 : DUBLIN STH"
## [39] "2000 : ROSCOMMON" "2100 : MAYO"
## [41] "3310 : NORTH IRELAND" "1900 : GALWAY COUNTY"
## [43] "2700 : SLIGO" "1700 : TIPP. NTH RIDING"
## [45] "2600 : LEITRIM" "1600 : CLARE"
## [47] "0218 : DUBLIN 18" "3320 : WALES"
## [49] "0700 : KILKENNY" "0800 : TIPP. STH RIDING"
## [51] "1200 : CORK COUNTY" "0901 : WATERFORD CITY"
## [53] "1500 : LIMERICK COUNTY" "1101 : CORK CITY"
## [55] "1401 : LIMERICK CITY" "3313 : SPAIN"
## [57] "3501 : AMERICA NORTH AND CANADA" "3303 : ENGLAND & WALES"
## [59] "3314 : PORTUGAL" "3305 : GERMANY"
## [61] "3304 : FRANCE" "3332 : ROMANIA"
## [63] "3600 : ASIA,MIDDLE EAST,FAR EAST" "3311 : SCOTLAND"
## [65] "3502 : AMERICA SOUTH, CENTRAL" "3309 : LUXEMBOURG"
## [67] "3308 : ITALY" "3700 : AUSTRALIA, NEW ZEALAND"
## [69] "1801 : GALWAY CITY" "3907 : MALTA"unique(main$Referring.Hospital)## [1] ":"
## [2] "0955 : CAPPAGH NATIONAL ORTHOPAEDIC"
## [3] "0100 : ST MARYS HOSPITAL"
## [4] "0600 : WATERFORD UNIVERSITY HOSPITAL"
## [5] "0954 : CLONTARF HOSPITAL"
## [6] "0947 : ST LUKES HOSPITAL"
## [7] "0108 : CONNOLLY HOSPITAL"
## [8] "1111 : MATER PRIVATE HOSPITAL"
## [9] "1307 : BEACON HOSPITAL"
## [10] "0923 : BEAUMONT HOSPITAL"
## [11] "0501 : SLIGO UNIVERSITY HOSPITAL"
## [12] "0110 : CHARTER MEDICAL"
## [13] "0904 : ST JAMES HOSPITAL"
## [14] "0960 : NATIONAL REHABILITATION"
## [15] "1270 : TALLAGHT HOSPITAL AMNCH"
## [16] "0202 : MULLINGAR MIDLAND REGIONAL"
## [17] "0605 : WEXFORD GENERAL HOSPITAL"
## [18] "0403 : OUR LADYS HOSPITAL"
## [19] "0910 : ST VINCENTS UNIVERSITY"
## [20] "0203 : TULLAMORE MIDLAND REGIONAL"
## [21] "9096 : CRC CENTRAL REMEDIAL CLINIC"
## [22] "0803 : ROSCOMMON UNIVERSITY HOSPITAL"
## [23] "0704 : BANTRY GENERAL HOSPITAL"
## [24] "0908 : MATER MISERICORDIAE UNIVERSITY"
## [25] "0300 : LIMERICK UNIVERSITY HOSPITAL"
## [26] "0402 : CAVAN GENERAL HOSPITAL"
## [27] "0912 : ST MICHAELS HOSPITAL"
## [28] "1915 : SANTRY SPORTS SURGERY CLINIC"
## [29] "1271 : AUT EVEN HOSPITAL"
## [30] "0302 : CROOM ORTHOPAEDIC HOSPITAL"
## [31] "0922 : OUR LADY OF LOURDES HOSPITAL"
## [32] "9060 : PRIVATE HOSPITAL"
## [33] "9099 : OTHER ACUTE HOSPITAL"
## [34] "0940 : TEMPLE STREET CHILDRENS"
## [35] "0724 : CORK UNIVERSITY HOSPITAL"
## [36] "0726 : UNIVERSITY HOSPITAL KERRY"
## [37] "0601 : ST LUKES GENERAL HOSPITAL"
## [38] "0101 : ST COLUMCILLES HOSPITAL"
## [39] "0998 : DUBLIN DENTAL UNIVERSITY"
## [40] "1290 : VHI SWIFTCARE CLINIC SWORDS"
## [41] "0802 : MAYO UNIVERSITY HOSPITAL"
## [42] "9091 : ST BRENDAN'S HOSPITAL"
## [43] "0500 : LETTERKENNY UNIVERSITY"
## [44] "0102 : NAAS GENERAL HOSPITAL"
## [45] "0400 : LOUTH COUNTY HOSPITAL"
## [46] "9040 : ACUTE HOSPITAL IN FRANCE"
## [47] "0607 : SOUTH TIPPERARY GENERAL HOSPIT"
## [48] "9094 : ST JOHN OF GOD HOSPITAL"
## [49] "0941 : CRUMLIN OUR LADYS CHILDRENS"
## [50] "0800 : GALWAY UNIVERSITY HOSPITAL"
## [51] "9080 : ST BRICIN'S MILITARY HOSPITAL"
## [52] "1291 : VHI SWIFTCARE CLINIC DUNDRUM"
## [53] "9084 : THE GALWAY CLINIC"
## [54] "0305 : ENNIS HOSPITAL"
## [55] "1280 : BLACKROCK CLINIC"
## [56] "9067 : HERMITAGE MEDICAL CLINIC"
## [57] "9061 : BONS SECOURS PRIVATE HOSPITAL"
## [58] "9092 : ST VINCENTS HOSPITAL"
## [59] "9063 : ST VINCENTS PRIVATE HOSPITAL"
## [60] "0201 : PORTLAOISE MIDLAND REGIONAL"
## [61] "0915 : SOUTH INFIRMARY/VICTORIA"
## [62] "0932 : ROTUNDA HOSPITAL"
## [63] "0602 : KILCREENE REGIONAL ORTHOPAEDIC"
## [64] "0404 : MONAGHAN COUNTY HOSPITAL"
## [65] "0801 : REGIONAL HOSPITAL, MERLIN PARK"
## [66] "1303 : BARRINGTONS PRIVATE HOSPITAL"
## [67] "1112 : MATER PRIVATE HOSPITAL CORK"
## [68] "9031 : ACUTE HOSPITAL IN ENGLAND"
## [69] "0304 : NENAGH HOSPITAL"
## [70] "9065 : BON SECOURS HOSPITAL"
## [71] "0502 : OUR LADYS COMMUNITY HOSPITAL"
## [72] "0950 : ROYAL VICTORIA EYE AND EAR"
## [73] "9090 : PSYCHIATRIC HOSPITAL"unique(main$Booking.Type)## [1] "C : New Virtual Phone" "R : RETURN"
## [3] "N : NEW" ":"
## [5] "W : WARD" "B : New Virtual Video"
## [7] "E : Return Virtual Phone" "D : Return Virtual Video"
## [9] "V : REVIEW"unique(main$Cancellation.Group)## [1] "N/A" "Hospital" "DNA" "Patient" "Validation"unique(main$Reason.for.Cancellation)## [1] ""
## [2] "Covid 19 Outbreak Hosp Canc"
## [3] "Appt brought forward by Hosp"
## [4] "NO SHOW"
## [5] "PERSONAL/FAMILY REASONS"
## [6] "Covid 19 Outbreak Pat Canc"
## [7] "PATIENT IN OTHER HEALTH CARE"
## [8] "Appt issued incorrectly by hosp"
## [9] "Patient requested earlier appt"
## [10] "transfer to new consultant"
## [11] "Patient no longer requires A"
## [12] "PATIENT ATTEND OPD AT MMUH"
## [13] "inappropriate appointment"
## [14] "TECHNICIAN UNAVAILABLE"
## [15] "PATIENT ILL"
## [16] "Clinic reduced on Cons Instru"
## [17] "PATIENT CANCELLED APPOINTMENT"
## [18] "TEMPLATE / BOOKING DIARY AMEND"
## [19] "PATIENT INPATIENT MMUH"
## [20] "CONSULTANT AT MEET/CONFER/EXAM"
## [21] "CONSULTANT ABSENT ANNUAL LEAVE"
## [22] "Appt date time not suitable"
## [23] "EARLIER APPOINTMENT IN OTHER PUBLIC HOSPITAL"
## [24] "PATIENT CANCELLED NO REASON"
## [25] "PATIENT ON HOLIDAYS"
## [26] "CONSULTANT ABSENT PERSONAL"
## [27] "CONSULTANT RETIREMENT"
## [28] "Appointment deferred as per Consultant instruction"
## [29] "PATIENT FORGOT APPOINTMENT"
## [30] "EARLIER PRIVATE APPOINTMENT"
## [31] "PT INDICATES APPT NO REQUIRED"
## [32] "DEATH IN FAMILY"
## [33] "ED Requested earlier appointment"
## [34] "validation cancelled by pt"
## [35] "Patient deceased"
## [36] "CONSULTANT ABSENT - MATERNITY"
## [37] "APP CANCELLED - AWAIT RESULTS"
## [38] "appointment deferred as per ANP instruction"
## [39] "patient attends GP for care"
## [40] "Adverse weather"
## [41] "PAT ATTENDED OPD AT MMUH"
## [42] "CONSULTANT ABSENT - PARENTAL L"
## [43] "GP REQUEST EARLIER APPOINTMENT"
## [44] "INDUSTRIAL DISPUTE"
## [45] "Consultant on Secondment"
## [46] "TIME BLOCKED OUT"
## [47] "validation no rsp by pt,apt cx"
## [48] "CONSULTANT ABSENT - SICK LEAVE"
## [49] "CLINICIAN ON ANNUAL LEAVE"
## [50] "BOOKING DIARY MANAGEMENT"
## [51] "CONSULTANTS INSTRUCTIONS"unique(main$Rebooked.Indicator)## [1] "" "Yes" "No"unique(main$Hospital.Catchment)## [1] "Mater Catchment" "National Catchment"
## [3] "Connolly Catchment" "Beaumont Catchment"
## [5] "Vincents Catchment" "James Catchment"
## [7] "International Catchment" "Tallaght Catchment"## Transforming data
# main_group <- main_processed %>% group_by(main_processed$Medical.Record.Number) #library(moments)
# main_group$freq_MRN_recode <- ifelse(count(main_group$Medical.Record.Number >= 34)==1,1,0)
#library(plyr)
main$Clinic.Type_recode <- mapvalues(main$Clinic.Type, from = c("GEN : GENERAL","SPN : SPINAL CLINIC","SCO : SCOLIOSIS CLINIC","FED : FRACTURE ED","MSK : MUSCULOSKELETAL CLINIC","JIC : JOINT INJECTION CLINIC","POD : PODIATRY","ULC : UPPER LIMB CLINIC","BPL : BRACHIAL PLEXUS CLINIC","PLS : NTPF ORTHO CLINIC","MSN : MSK NTPF TRIAGE CLINIC","COM : BALLYMUN COMMUNITY MSK TRIAGE","COS : SUMMERHILL MSK TRIAGE CLINICS","CGP : COMBINED GP CLINIC","ABC : ACUTE BACK PAIN CLINIC","LBP : LOW BACK PAIN PATHWAY","BPP : BACK PAIN PILOT CLINIC"),
to = c("GENERAL","SPINErelated","SPINErelated","SPINErelated","MUSCULOSKELETALrelated","MUSCULOSKELETALrelated","PODIATRY","UPPER_LIMBrelated","UPPER_LIMBrelated","NTPFfund","NTPFfund","NotLocatedInMater","NotLocatedInMater","NotLocatedInMater","BACK_PAINrelated","BACK_PAINrelated","BACK_PAINrelated"))
main$Referral.Source_recode <- mapvalues(main$Referral.Source, from = c("C : CLINIC","G : GP","W : WARD","N : BREAST CHECK (NBSP)","H : OTHER HOSPITAL","S : SELF","O : OTHER CONSULTANT","R : ROOMS","A : EMERGENCY DEPT","B : HEALTH BOARD REFERRAL","K : ED SMITHFIELD","V : VASCULAR LAB","X : HEALTH CENTRE REFERRAL","Q : REFERRED FROM CAWT INITIATIVE","D : DENTIST","I : SWIFTCARE CLINIC","T : NTPF","Z : X-RAY","E : OPTICIAN"),
to = c("CLINIC","GP","WARD","Elsew of Mater","Elsew outside Mater","Elsew outside Mater","OTHER CONSULTANT","Elsew of Mater","EMERGENCY DEPT","Elsew of Mater","Elsew of Mater","Elsew of Mater","Elsew outside Mater","Elsew outside Mater","OTHER CONSULTANT","Elsew outside Mater","Elsew of Mater","Elsew of Mater","OTHER CONSULTANT"))
main$Consultant_recode <- mapvalues(main$Consultant, from = c("MOROP : MORONEY MR. PAUL","COLGAN : COLGAN MS. GRAINNE","SYNNOT : SYNNOTT MR. KEITH","XXXXXX : Unknown","MARA : MARA MR. MICHAEL","LYONSF : LYONS MR. FRANK","BRIAIN : O BRIAIN MR. DAVID","OHEIRE : O'HEIREAMHOIN MR. SVEN","TIMLIN : TIMLIN MR. MARCUS","BUTLER : BUTLER PROF. JOSEPH","CASSID : CASSIDY MS. NOELLE","MORRI : MORRIS MR. SEAMUS","HYNESD : HYNES MR. DARRAGH","ONEISH : O NEILL MR. SHANE","CASHMA : CASHMAN MR. JAMES","MURMAR : MURPHY MR. MARTIN","DODDSM : DODDS MR. MICHAEL","MCSORK : MCSORLEY MR. KEVIN","LYNCSA : LYNCH MR. SAM","CARMOO : CARMODY MR. OLAN","ORTCON : ORTHOPAEDIC CONSULTS","FRA : FRACTURE CONSULTS"),
to = c("MOROP","COLGAN","SYNNOT","XX","MARA","LYONSF","BRIAIN","OHEIRE","TIMLIN","BUTLER","CASSID","MORRI","HYNESD","ONEISH","CASHMA","MURMAR","DODDSM","MCSORK","LYNCSA","CARMOO","ORTCON","FRA"))
main$Insurance.Scheme_recode <- mapvalues(main$Insurance.Scheme, from = c("U : UNKNOWN","D : MEDICAL CARD HOLDER","V : VHI","G : GARDA SCHEME","I : IRISH LIFE HEALTH","S : SELF","B : LAYA HEALTHCARE","O : OTHER","J : GLOHEALTH","E : E.S.B. SCHEME","C : BLUE CROSS","P : PRISON OFFICERS","H : HOSPITAL SATURDAY FUND","A : ARMY SCHEME","M : MEDISHIELD"),
to = c("U","D","V","G","I","S","B","O","J","E","C","P","H","A","M"))
main$Hospital.Catchment_recode <- mapvalues(main$Hospital.Catchment, from = c("Mater Catchment","National Catchment","Connolly Catchment","James Catchment","Tallaght Catchment","Beaumont Catchment","International Catchment","Vincents Catchment"),
to = c("Mater","National","Connolly","James","Tallaght","Beaumont","International","Vincents"))
main$Attendance.Type_recode <- mapvalues(main$Attendance.Type.Description, from = c("WALK IN - NEW","ADD ON - NEW","WALK IN - RETURN","ADD ON - RETURN","Return Home Visit","Return Virtual Phone","VIRTUAL NEW","New Virtual Phone","New Virtual Video","Return Virtual Video"),
to = c("NEW","NEW","RETURN","RETURN","RETURN","VIRTUAL(New_Return)","VIRTUAL(New_Return)","VIRTUAL(New_Return)","VIRTUAL(New_Return)","VIRTUAL(New_Return)"))
main$Eligibility_recode <- mapvalues(main$Eligibility, from = c("02 : CAT 2 (NON MEDICAL CARD)","01 : CAT 1 (MEDICAL CARD)","08 : ELIGIBILITY UNKNOWN","12 : DAY CASE - EXEMPT STAT. CHG.","19 : STAFF EXEMPT-STATUTORY CHARGE","35 : INFECTIOUS OR SUSPECTED INFECT","11 : ANTI D/RESEARCH/TRIAL","23 : NATIONAL COLORECTAL SCREENING","16 : NTPF - EXEMPT STAT. CHG.","06 : NON EU-VISITOR","24 : DIABETIC RETINA TREATMENT","07 : RTA","17 : ARMY - EXEMPT STAT. CHG.","10 : UK/NI - EXEMPT STAT.CHG.","21 : THE GOVERNOR - PRISONERS","13 : LONG STAY - EXEMPT STAT. CHG.","25 : UKRAINIAN CITIZEN","20 : HAA CARD HEALTH AMENDMENT ACT","18 : EHIC - EXEMPT STAT. CHG.","05 : EU-VISITOR NO EHIC","26 : U16 EXEMPT STAT. CHARGE","03 : CAT 3 (15000 OR MORE)","15 : SPECIAL OLYMPICS WORLD GAMES"),
to = c("NON MEDICAL CARD","MEDICAL CARD","ELIGIBILITY UNKNOWN","EXEMPT","EXEMPT","ACUTE UNCLASSIFIED","RESEARCH/NATIONAL PROG.","RESEARCH/NATIONAL PROG.","EXEMPT","NON MEDICAL CARD","NON ACUTE UNCLASSIFIED","ACUTE UNCLASSIFIED","EXEMPT","EXEMPT","EXEMPT","EXEMPT","EXEMPT","RESEARCH/NATIONAL PROG.","EXEMPT","NON MEDICAL CARD","EXEMPT","15000+","EXEMPT"))
dublin_nth <- c("01")
dublin_sth <- c("02")
outside_irl <- c("33","35","36","37","39")
other_eastern.midland_region <- c("0300","0400","0500","2200","2300","2400","2500","3100","3200")
northern.western_region <- c("1801","1900","2000","2100","2600","2700","2800","2900","3000")
southern_region <- c("0600","0700","0800","0901","1000","1101","1200","1300","1401","1500","1600","1700")
main <- main %>% #library(plyr)
mutate(Area.of.Residence_recode = case_when(
substring(main$Area.of.Residence,0,2) %in% dublin_nth ~ "DUBLIN NTH",
substring(main$Area.of.Residence,0,2) %in% dublin_sth ~ "DUBLIN STH",
substring(main$Area.of.Residence,0,4) %in% other_eastern.midland_region ~ "EASTERN & MIDLAND REGION (excl.Dublin)",
substring(main$Area.of.Residence,0,4) %in% northern.western_region ~ "NORTHERN WESTERN REGION",
substring(main$Area.of.Residence,0,4) %in% southern_region ~ "SOUTHERN REGION",
substring(main$Area.of.Residence,0,2) %in% outside_irl ~ "OUTSIDE IRELAND",
substring(main$Area.of.Residence,0,4) == "0000" ~ "UNKNOWN",
TRUE ~ "Other counties"
))
head (main$Area.of.Residence_recode,10)## [1] "DUBLIN NTH" "DUBLIN NTH" "DUBLIN NTH" "DUBLIN NTH" "DUBLIN NTH"
## [6] "DUBLIN NTH" "DUBLIN NTH" "DUBLIN NTH" "DUBLIN NTH" "DUBLIN NTH"table(main$Area.of.Residence_recode)##
## DUBLIN NTH DUBLIN STH
## 53149 10918
## EASTERN & MIDLAND REGION (excl.Dublin) NORTHERN WESTERN REGION
## 11091 2918
## OUTSIDE IRELAND SOUTHERN REGION
## 137 3999
## UNKNOWN
## 331main$Booking.Type_recode <- ifelse(main$Booking.Type == ":", ifelse(!duplicated(main$Medical.Record.Number), "N : NEW", "R : RETURN"), main$Booking.Type)
main$Booking.Type_recode <- mapvalues(main$Booking.Type_recode, from = c("N : NEW","R : RETURN","W : WARD"), to =c("NEW","RETURN","WARD"))
main$Reason.for.Cancellation_recode <- mapvalues(main$Reason.for.Cancellation.Desc, from = c("NO SHOW","Patient no longer requires A","TEMPLATE / BOOKING DIARY AMEND","Appt brought forward by Hosp","Clinic reduced on Cons Instru","PERSONAL/FAMILY REASONS","PATIENT CANCELLED APPOINTMENT","Covid 19 Outbreak Hosp Canc","Appt issued incorrectly by hosp","PATIENT ILL","APP CANCELLED - AWAIT RESULTS","PATIENT ON HOLIDAYS","Appt date time not suitable","appointment deferred as per ANP instruction","CONSULTANT ABSENT ANNUAL LEAVE","BOOKING DIARY MANAGEMENT","EARLIER PRIVATE APPOINTMENT","TIME BLOCKED OUT","Covid 19 Outbreak Pat Canc","PATIENT IN OTHER HEALTH CARE","Appointment deferred as per Consultant instruction","inappropriate appointment","Patient requested earlier appt","PATIENT CANCELLED NO REASON","Patient deceased","EARLIER APPOINTMENT IN OTHER PUBLIC HOSPITAL","PATIENT FORGOT APPOINTMENT","PT INDICATES APPT NO REQUIRED","PATIENT INPATIENT MMUH","DEATH IN FAMILY","Adverse weather","PAT ATTENDED OPD AT MMUH","transfer to new consultant","PATIENT ATTEND OPD AT MMUH","ED Requested earlier appointment","CONSULTANT ABSENT - SICK LEAVE","patient attends GP for care","Consultant on Secondment","GP REQUEST EARLIER APPOINTMENT","validation cancelled by pt","CONSULTANT AT MEET/CONFER/EXAM","CONSULTANT RETIREMENT","CONSULTANTS INSTRUCTIONS","CLINICIAN ON ANNUAL LEAVE","validation no rsp by pt,apt cx","INDUSTRIAL DISPUTE","CONSULTANT ABSENT - PARENTAL L","CONSULTANT ABSENT - MATERNITY","CONSULTANT ABSENT PERSONAL","TECHNICIAN UNAVAILABLE"),
to = c("No show","By Patient","By Hospital","By Hospital","By Cslt/AN/Tech","By Patient","By Patient","By Covid","By Hospital","By Patient-health conditions","By Hospital","By Patient","By Patient","By Cslt/AN/Tech","By Cslt/AN/Tech","By Hospital","By Patient","By Hospital","By Covid","By Patient-health conditions","By Cslt/AN/Tech","By Patient","By Patient","By Patient","By Patient-health conditions","By Patient-health conditions","By Patient","By Patient","By Patient-health conditions","By Patient","By Patient","By Patient-health conditions","By Cslt/AN/Tech","By Patient-health conditions","By Hospital","By Cslt/AN/Tech","By Patient-health conditions","By Cslt/AN/Tech","By Patient-health conditions","By Patient","By Cslt/AN/Tech","By Cslt/AN/Tech","By Cslt/AN/Tech","By Cslt/AN/Tech","By Patient","By Hospital","By Cslt/AN/Tech","By Cslt/AN/Tech","By Cslt/AN/Tech","By Cslt/AN/Tech"))
main$New.Attendances <- ifelse(is.na(main$No.New.Attendances)==F, ifelse(main$No.New.Attendances>0,1,0), main$No.New.Attendances)
# main$Referring.Hospital <-
### Date calculation from Appointment/ Booking to Attendance
main$Attendance.Date <- as.Date(main$Attendance.Date, format="%d/%m/%y")
library(zoo)
main$attendanceMonthYear <- as.yearmon(paste(year(main$Attendance.Date), month(main$Attendance.Date)), "%Y %m") #change date from char format to numeric by using library(zoo)
main$Appointment.Date <- as.POSIXct(main$Appointment.Date...Time,format="%Y%m%d %H:%M:%S",tz=Sys.timezone())
main$Appointment.Date <- as.Date(main$Appointment.Date, format="%d/%m/%y")
main$appointmentMonthYear <- as.yearmon(paste(year(main$Appointment.Date), month(main$Appointment.Date)), "%Y %m") #change date from char format to numeric by using library(zoo)
main$appointmentDay <- weekdays(main$Appointment.Date)
main$Booked.Date <- as.Date(main$Booked.Date, format="%d/%m/%y")
main$bookedMonthYear <- as.yearmon(paste(year(main$Booked.Date), month(main$Booked.Date)), "%Y %m") #change date from char format to numeric by using library(zoo)
main$bookedDay <- weekdays(main$Booked.Date)
main$daysDiff_attendanceAppoint <- difftime(main$Appointment.Date,main$Attendance.Date,units="days")
main$daysDiff_attendanceBooked <- difftime(main$Booked.Date,main$Attendance.Date,units="days")
main$daysDiff_AppointBooked <- difftime(main$Booked.Date,main$Appointment.Date,units="days")
main$addressDiff <- ifelse(main$Present.Address == main$Home.Address, 0, 1)
main$Rebooked.Indicator <- main$Rebooked.Indicator..HIS.
unique(main$Clinic.Type_recode)## [1] "GENERAL" "MUSCULOSKELETALrelated" "PODIATRY"
## [4] "SPINErelated" "UPPER_LIMBrelated" "NTPFfund"
## [7] "NotLocatedInMater" "BACK_PAINrelated"#unique(main$Medical.Record.Number)
unique(main$Attendance.Type_recode)## [1] "RETURN" "NEW" "VIRTUAL(New_Return)"
## [4] "" "VIRTUAL RETURN" "EMERGENCY"unique(main$Referral.Source_recode)## [1] "EMERGENCY DEPT" "CLINIC" "GP"
## [4] "Elsew outside Mater" "WARD" "OTHER CONSULTANT"
## [7] "Elsew of Mater"unique(main$Consultant_recode)## [1] "MOROP" "COLGAN" "SYNNOT" "XX" "MARA" "LYONSF" "BRIAIN" "OHEIRE"
## [9] "TIMLIN" "BUTLER" "CASSID" "MORRI" "HYNESD" "ONEISH" "CASHMA" "MURMAR"
## [17] "DODDSM" "MCSORK" "LYNCSA" "CARMOO" "ORTCON" "FRA"unique(main$Insurance.Scheme_recode)## [1] "D" "S" "U" "V" "B" "I" "O" "G" "P" "E" "A" "H" "J" "C" "M"unique(main$Eligibility_recode)## [1] "MEDICAL CARD" "NON MEDICAL CARD"
## [3] "EXEMPT" "ACUTE UNCLASSIFIED"
## [5] "ELIGIBILITY UNKNOWN" "RESEARCH/NATIONAL PROG."
## [7] "NON ACUTE UNCLASSIFIED" "15000+"unique(main$Area.of.Residence_recode)## [1] "DUBLIN NTH"
## [2] "SOUTHERN REGION"
## [3] "NORTHERN WESTERN REGION"
## [4] "DUBLIN STH"
## [5] "EASTERN & MIDLAND REGION (excl.Dublin)"
## [6] "UNKNOWN"
## [7] "OUTSIDE IRELAND"unique(main$Booking.Type_recode)## [1] "C : New Virtual Phone" "RETURN"
## [3] "NEW" "WARD"
## [5] "B : New Virtual Video" "E : Return Virtual Phone"
## [7] "D : Return Virtual Video" "V : REVIEW"unique(main$Reason.for.Cancellation_recode)## [1] "" "By Covid"
## [3] "By Hospital" "No show"
## [5] "By Patient" "By Patient-health conditions"
## [7] "By Cslt/AN/Tech"unique(main$Hospital.Catchment_recode)## [1] "Mater" "National" "Connolly" "Beaumont"
## [5] "Vincents" "James" "International" "Tallaght"## Create dataset for modelling
# main.df <- main %>% select(-rownames,-) #when there are multiple files to combine with same variables
write.csv(main[,c("Record.Type","Clinic.Code","Clinic.Type_recode","NurseFlag","Medical.Record.Number","Gender","Attendance.Day","Attendance.MonthYear","Attendance.Date","Attendance.Type_recode","Attendance.Year","Attendance.Month","Referral.Source_recode","Consultant_recode","Insurance.Scheme_recode","Eligibility_recode","Age.at.Attendance","Age.at.Attendance.Cat.HSE","Pathway.Number","Present.Address","Home.Address","Appointment.Date","appointmentMonthYear","appointmentDay","Area.of.Residence_recode","Referring.Hospital","Booking.Type_recode","Booked.Date","bookedMonthYear","bookedDay","Cancellation.Group","Reason.for.Cancellation_recode","Rebooked.Indicator","Hospital.Catchment_recode","No.Attendances","New.Attendances","No.Cancels","No.DNAs","daysDiff_attendanceAppoint","daysDiff_attendanceBooked","daysDiff_AppointBooked","addressDiff")],"spineDetails.csv")
main_processed <- read.csv("spineDetails.csv")
## Convert all character variables to factor
# main_processed <- main_processed %>% mutate_if(is.character,as.factor)
# main_processed_tibble <- as_tibble(main_processed) #library(tidyverse), tibble never changes [the type of the inputs, the names of variables], it only recycles inputs of length 1, and never creates row.names()Inspecting data
Inspecting new and re-coded variables
str(main_processed)## 'data.frame': 82543 obs. of 43 variables:
## $ X : int 1 2 3 4 5 6 7 8 9 10 ...
## $ Record.Type : chr "Attendance" "Attendance" "Attendance" "Attendance" ...
## $ Clinic.Code : int 1038 1229 1229 1229 1229 1059 726 726 726 726 ...
## $ Clinic.Type_recode : chr "GENERAL" "GENERAL" "GENERAL" "GENERAL" ...
## $ NurseFlag : chr "N" "N" "N" "N" ...
## $ Medical.Record.Number : int 118 118 118 118 118 367 532 532 532 532 ...
## $ Gender : chr "Female" "Female" "Female" "Female" ...
## $ Attendance.Day : chr "Friday" "Tuesday" "Tuesday" "Tuesday" ...
## $ Attendance.MonthYear : chr "May-23" "May-23" "May-23" "May-23" ...
## $ Attendance.Date : chr "2020-05-12" "2020-05-16" "2020-05-23" "2020-05-30" ...
## $ Attendance.Type_recode : chr "RETURN" "RETURN" "RETURN" "RETURN" ...
## $ Attendance.Year : int 2023 2023 2023 2023 2023 2021 2021 2021 2021 2021 ...
## $ Attendance.Month : chr "May" "May" "May" "May" ...
## $ Referral.Source_recode : chr "EMERGENCY DEPT" "EMERGENCY DEPT" "CLINIC" "CLINIC" ...
## $ Consultant_recode : chr "MOROP" "COLGAN" "COLGAN" "COLGAN" ...
## $ Insurance.Scheme_recode : chr "D" "D" "D" "D" ...
## $ Eligibility_recode : chr "MEDICAL CARD" "MEDICAL CARD" "MEDICAL CARD" "MEDICAL CARD" ...
## $ Age.at.Attendance : int 78 78 78 78 78 77 67 67 67 67 ...
## $ Age.at.Attendance.Cat.HSE : chr "75 - 84" "75 - 84" "75 - 84" "75 - 84" ...
## $ Pathway.Number : int 57091024 57094901 57094901 57094901 57094901 56113762 76695773 76673871 76704166 56064254 ...
## $ Present.Address : chr "23 CLOONLARA ROAD, FINGLAS, DUBLIN 11" "23 CLOONLARA ROAD, FINGLAS, DUBLIN 11" "23 CLOONLARA ROAD, FINGLAS, DUBLIN 11" "23 CLOONLARA ROAD, FINGLAS, DUBLIN 11" ...
## $ Home.Address : chr "23 CLOONLARA ROAD, FINGLAS, DUBLIN 11" "23 CLOONLARA ROAD, FINGLAS, DUBLIN 11" "23 CLOONLARA ROAD, FINGLAS, DUBLIN 11" "23 CLOONLARA ROAD, FINGLAS, DUBLIN 11" ...
## $ Appointment.Date : chr NA NA NA NA ...
## $ appointmentMonthYear : chr NA NA NA NA ...
## $ appointmentDay : chr NA NA NA NA ...
## $ Area.of.Residence_recode : chr "DUBLIN NTH" "DUBLIN NTH" "DUBLIN NTH" "DUBLIN NTH" ...
## $ Referring.Hospital : chr ":" ":" ":" ":" ...
## $ Booking.Type_recode : chr "C : New Virtual Phone" "RETURN" "RETURN" "RETURN" ...
## $ Booked.Date : chr "2020-05-11" "2020-05-12" "2020-05-16" "2020-05-24" ...
## $ bookedMonthYear : chr "May 2020" "May 2020" "May 2020" "May 2020" ...
## $ bookedDay : chr "Monday" "Tuesday" "Saturday" "Sunday" ...
## $ Cancellation.Group : chr "N/A" "N/A" "N/A" "N/A" ...
## $ Reason.for.Cancellation_recode: chr "" "" "" "" ...
## $ Rebooked.Indicator : chr "" "" "" "" ...
## $ Hospital.Catchment_recode : chr "Mater" "Mater" "Mater" "Mater" ...
## $ No.Attendances : int 1 1 1 1 1 1 NA NA NA 1 ...
## $ New.Attendances : int 0 0 0 0 0 1 NA NA NA 0 ...
## $ No.Cancels : int NA NA NA NA NA NA 1 1 0 NA ...
## $ No.DNAs : int NA NA NA NA NA NA 0 0 1 NA ...
## $ daysDiff_attendanceAppoint : int NA NA NA NA NA NA 366 366 366 NA ...
## $ daysDiff_attendanceBooked : int -1 -4 -7 -6 -21 -20 345 324 -17 -11 ...
## $ daysDiff_AppointBooked : int NA NA NA NA NA NA -21 -42 -383 NA ...
## $ addressDiff : int 0 0 0 0 0 0 0 0 0 0 ...summary(main_processed)## X Record.Type Clinic.Code Clinic.Type_recode
## Min. : 1 Length:82543 Min. : 184 Length:82543
## 1st Qu.:20637 Class :character 1st Qu.: 849 Class :character
## Median :41272 Mode :character Median :1059 Mode :character
## Mean :41272 Mean :1045
## 3rd Qu.:61908 3rd Qu.:1229
## Max. :82543 Max. :1505
##
## NurseFlag Medical.Record.Number Gender Attendance.Day
## Length:82543 Min. : 118 Length:82543 Length:82543
## Class :character 1st Qu.: 554658 Class :character Class :character
## Mode :character Median :1068020 Mode :character Mode :character
## Mean :1031476
## 3rd Qu.:1270115
## Max. :9996870
##
## Attendance.MonthYear Attendance.Date Attendance.Type_recode Attendance.Year
## Length:82543 Length:82543 Length:82543 Min. :2020
## Class :character Class :character Class :character 1st Qu.:2021
## Mode :character Mode :character Mode :character Median :2022
## Mean :2022
## 3rd Qu.:2023
## Max. :2023
##
## Attendance.Month Referral.Source_recode Consultant_recode
## Length:82543 Length:82543 Length:82543
## Class :character Class :character Class :character
## Mode :character Mode :character Mode :character
##
##
##
##
## Insurance.Scheme_recode Eligibility_recode Age.at.Attendance
## Length:82543 Length:82543 Min. : 0.00
## Class :character Class :character 1st Qu.: 34.00
## Mode :character Mode :character Median : 50.00
## Mean : 49.64
## 3rd Qu.: 64.00
## Max. :105.00
##
## Age.at.Attendance.Cat.HSE Pathway.Number Present.Address
## Length:82543 Min. :52869091 Length:82543
## Class :character 1st Qu.:56276830 Class :character
## Mode :character Median :56916158 Mode :character
## Mean :62942726
## 3rd Qu.:76592988
## Max. :77884614
##
## Home.Address Appointment.Date appointmentMonthYear appointmentDay
## Length:82543 Length:82543 Length:82543 Length:82543
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
##
## Area.of.Residence_recode Referring.Hospital Booking.Type_recode
## Length:82543 Length:82543 Length:82543
## Class :character Class :character Class :character
## Mode :character Mode :character Mode :character
##
##
##
##
## Booked.Date bookedMonthYear bookedDay Cancellation.Group
## Length:82543 Length:82543 Length:82543 Length:82543
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
##
## Reason.for.Cancellation_recode Rebooked.Indicator Hospital.Catchment_recode
## Length:82543 Length:82543 Length:82543
## Class :character Class :character Class :character
## Mode :character Mode :character Mode :character
##
##
##
##
## No.Attendances New.Attendances No.Cancels No.DNAs
## Min. :1 Min. :0.000 Min. :0.00 Min. :0.00
## 1st Qu.:1 1st Qu.:0.000 1st Qu.:0.00 1st Qu.:0.00
## Median :1 Median :0.000 Median :1.00 Median :0.00
## Mean :1 Mean :0.388 Mean :0.66 Mean :0.34
## 3rd Qu.:1 3rd Qu.:1.000 3rd Qu.:1.00 3rd Qu.:1.00
## Max. :3 Max. :1.000 Max. :1.00 Max. :1.00
## NA's :25896 NA's :25896 NA's :56647 NA's :56647
## daysDiff_attendanceAppoint daysDiff_attendanceBooked daysDiff_AppointBooked
## Min. : -1.0 Min. :-350.000 Min. :-1424.0
## 1st Qu.: 365.0 1st Qu.: -34.000 1st Qu.: -814.0
## Median : 730.0 Median : -15.000 Median : -485.0
## Mean : 545.1 Mean : -6.073 Mean : -556.9
## 3rd Qu.: 731.0 3rd Qu.: -6.000 3rd Qu.: -137.0
## Max. :1096.0 Max. : 362.000 Max. : 0.0
## NA's :56647 NA's :5680 NA's :56647
## addressDiff
## Min. :0.0000
## 1st Qu.:0.0000
## Median :0.0000
## Mean :0.1505
## 3rd Qu.:0.0000
## Max. :1.0000
## head(main_processed)## X Record.Type Clinic.Code Clinic.Type_recode NurseFlag
## 1 1 Attendance 1038 GENERAL N
## 2 2 Attendance 1229 GENERAL N
## 3 3 Attendance 1229 GENERAL N
## 4 4 Attendance 1229 GENERAL N
## 5 5 Attendance 1229 GENERAL N
## 6 6 Attendance 1059 MUSCULOSKELETALrelated Y
## Medical.Record.Number Gender Attendance.Day Attendance.MonthYear
## 1 118 Female Friday May-23
## 2 118 Female Tuesday May-23
## 3 118 Female Tuesday May-23
## 4 118 Female Tuesday May-23
## 5 118 Female Tuesday Jun-23
## 6 367 Male Thursday Apr-21
## Attendance.Date Attendance.Type_recode Attendance.Year Attendance.Month
## 1 2020-05-12 RETURN 2023 May
## 2 2020-05-16 RETURN 2023 May
## 3 2020-05-23 RETURN 2023 May
## 4 2020-05-30 RETURN 2023 May
## 5 2020-06-20 RETURN 2023 June
## 6 2020-04-08 NEW 2021 April
## Referral.Source_recode Consultant_recode Insurance.Scheme_recode
## 1 EMERGENCY DEPT MOROP D
## 2 EMERGENCY DEPT COLGAN D
## 3 CLINIC COLGAN D
## 4 CLINIC COLGAN D
## 5 CLINIC COLGAN D
## 6 GP SYNNOT D
## Eligibility_recode Age.at.Attendance Age.at.Attendance.Cat.HSE Pathway.Number
## 1 MEDICAL CARD 78 75 - 84 57091024
## 2 MEDICAL CARD 78 75 - 84 57094901
## 3 MEDICAL CARD 78 75 - 84 57094901
## 4 MEDICAL CARD 78 75 - 84 57094901
## 5 MEDICAL CARD 78 75 - 84 57094901
## 6 MEDICAL CARD 77 75 - 84 56113762
## Present.Address
## 1 23 CLOONLARA ROAD, FINGLAS, DUBLIN 11
## 2 23 CLOONLARA ROAD, FINGLAS, DUBLIN 11
## 3 23 CLOONLARA ROAD, FINGLAS, DUBLIN 11
## 4 23 CLOONLARA ROAD, FINGLAS, DUBLIN 11
## 5 23 CLOONLARA ROAD, FINGLAS, DUBLIN 11
## 6 599 CARNLOUGH ROAD, CABRA WEST, DUBLIN 7
## Home.Address Appointment.Date
## 1 23 CLOONLARA ROAD, FINGLAS, DUBLIN 11 <NA>
## 2 23 CLOONLARA ROAD, FINGLAS, DUBLIN 11 <NA>
## 3 23 CLOONLARA ROAD, FINGLAS, DUBLIN 11 <NA>
## 4 23 CLOONLARA ROAD, FINGLAS, DUBLIN 11 <NA>
## 5 23 CLOONLARA ROAD, FINGLAS, DUBLIN 11 <NA>
## 6 599 CARNLOUGH ROAD, CABRA WEST, DUBLIN 7 <NA>
## appointmentMonthYear appointmentDay Area.of.Residence_recode
## 1 <NA> <NA> DUBLIN NTH
## 2 <NA> <NA> DUBLIN NTH
## 3 <NA> <NA> DUBLIN NTH
## 4 <NA> <NA> DUBLIN NTH
## 5 <NA> <NA> DUBLIN NTH
## 6 <NA> <NA> DUBLIN NTH
## Referring.Hospital Booking.Type_recode Booked.Date bookedMonthYear
## 1 : C : New Virtual Phone 2020-05-11 May 2020
## 2 : RETURN 2020-05-12 May 2020
## 3 : RETURN 2020-05-16 May 2020
## 4 : RETURN 2020-05-24 May 2020
## 5 : RETURN 2020-05-30 May 2020
## 6 : NEW 2020-03-19 Mar 2020
## bookedDay Cancellation.Group Reason.for.Cancellation_recode
## 1 Monday N/A
## 2 Tuesday N/A
## 3 Saturday N/A
## 4 Sunday N/A
## 5 Saturday N/A
## 6 Thursday N/A
## Rebooked.Indicator Hospital.Catchment_recode No.Attendances New.Attendances
## 1 Mater 1 0
## 2 Mater 1 0
## 3 Mater 1 0
## 4 Mater 1 0
## 5 Mater 1 0
## 6 Mater 1 1
## No.Cancels No.DNAs daysDiff_attendanceAppoint daysDiff_attendanceBooked
## 1 NA NA NA -1
## 2 NA NA NA -4
## 3 NA NA NA -7
## 4 NA NA NA -6
## 5 NA NA NA -21
## 6 NA NA NA -20
## daysDiff_AppointBooked addressDiff
## 1 NA 0
## 2 NA 0
## 3 NA 0
## 4 NA 0
## 5 NA 0
## 6 NA 0any(is.na(main_processed))## [1] TRUEcolSums(is.na(main_processed))## X Record.Type
## 0 0
## Clinic.Code Clinic.Type_recode
## 0 0
## NurseFlag Medical.Record.Number
## 0 0
## Gender Attendance.Day
## 0 0
## Attendance.MonthYear Attendance.Date
## 0 0
## Attendance.Type_recode Attendance.Year
## 0 0
## Attendance.Month Referral.Source_recode
## 0 0
## Consultant_recode Insurance.Scheme_recode
## 0 0
## Eligibility_recode Age.at.Attendance
## 0 0
## Age.at.Attendance.Cat.HSE Pathway.Number
## 0 0
## Present.Address Home.Address
## 0 0
## Appointment.Date appointmentMonthYear
## 56647 56647
## appointmentDay Area.of.Residence_recode
## 56647 0
## Referring.Hospital Booking.Type_recode
## 0 0
## Booked.Date bookedMonthYear
## 5680 5680
## bookedDay Cancellation.Group
## 5680 0
## Reason.for.Cancellation_recode Rebooked.Indicator
## 0 0
## Hospital.Catchment_recode No.Attendances
## 0 25896
## New.Attendances No.Cancels
## 25896 56647
## No.DNAs daysDiff_attendanceAppoint
## 56647 56647
## daysDiff_attendanceBooked daysDiff_AppointBooked
## 5680 56647
## addressDiff
## 0Creating descriptive statistics (2020-2023)
Outcome (response variable): Record.Type (including Attendance, Cancellation, DNA)
- Total No. of observations: 91169
- No. of Attendance: 55297; New Attendance: 30512
- No. of Cancellation: 27610
- No. of DNA: 8262
Dependable variables (with highest frequency of value):
- Clinic relevance
- Clinic code :757 (12.79%), 1134 (12.72%)
- Clinic type: Symptomatic spine clinic (48.66%)
- M.R.N: 51 times is the highest visit
- Referral source: Clinic (52.71%)
- Consultant: WAL (27%), BAR (26%)
- Insurance scheme: Unknown (36.57%)
- Eligibility: Non medical card (53.08%)
- Booking Type: Return (57.4%)
- Hospital catchment: National catchment (57.91%)
- Date relevance
Attendance Day: Tuesday (26.6%)
Attendance Month-Year: 2021-09 (2.96%)
Attendance Month: September (10.2%)
Attendance Year: 2021 (27%)
Attendance Type: Return (49.64%)
Appointment Day: Tuesday (27.8%)
Appointment Month-Year: 2021-08 (3.42%)
Booked Day: Tuesday (22.57%)
Booked Month-Year: 2022-10 (2.78%)
Days difference between Attendance and Appointment: Mean 580, Median 730 [0-1096]
Days difference between Attendance and Booked day: Mean 506, Median 366 [<0,1112]
Days difference between Booked day and Appointment: Mean 91, Median 25 [0-672]
- Patient relevance
- Gender: Female (98%)
- Age at attendance cat.HSE: 45-54 (23.7%), Average 51 [0-105]
- Area of residence: Dublin north (45.3%)
- Difference of Home and Present address: No (82%)
Cancellation (N=27610)
- Cancellation Group: Hospital (57.53%)
- Reason for cancellation: by hospital (38.62%)
- Rebooked indicator: Yes (74.5%)
## Outcome description
### Convert dependent variable (outcome, response var.) to factor type if not yet
cbind(sort(table(main_processed$Record.Type),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$Record.Type=="Attendance")),5),deparse.level=2,decreasing=TRUE))## Warning in cbind(sort(table(main_processed$Record.Type), decreasing = TRUE), :
## number of rows of result is not a multiple of vector length (arg 2)## [,1] [,2]
## Attendance 56647 68.627
## Cancellation 17099 31.373
## DNA 8797 68.627cbind(sort(table(main_processed$Record.Type=="Attendance"),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$Record.Type=="Attendance")),5),deparse.level=2,decreasing=TRUE))## [,1] [,2]
## TRUE 56647 68.627
## FALSE 25896 31.373cbind(sort(table(main_processed$Record.Type=="Cancellation"),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$Record.Type=="Cancellation")),5),deparse.level=2,decreasing=TRUE))## [,1] [,2]
## FALSE 65444 79.285
## TRUE 17099 20.715cbind(sort(table(main_processed$Record.Type=="DNA"),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$Record.Type=="DNA")),5),deparse.level=2,decreasing=TRUE))## [,1] [,2]
## FALSE 73746 89.343
## TRUE 8797 10.657table(main_processed$Record.Type,main_processed$Attendance.MonthYear)##
## Apr-20 Apr-21 Apr-22 Apr-23 Aug-20 Aug-21 Aug-22 Aug-23 Dec-20
## Attendance 435 999 1152 1240 893 1131 1189 1514 938
## Cancellation 591 296 419 334 324 292 432 319 251
## DNA 103 166 206 161 127 254 188 174 188
##
## Dec-21 Dec-22 Dec-23 Feb-20 Feb-21 Feb-22 Feb-23 Jan-20 Jan-21
## Attendance 989 1323 1178 1272 848 1133 1452 1347 846
## Cancellation 371 299 298 300 419 376 278 108 545
## DNA 205 156 143 205 94 203 151 79 159
##
## Jan-22 Jan-23 Jul-20 Jul-21 Jul-22 Jul-23 Jun-20 Jun-21 Jun-22
## Attendance 1069 1584 937 1161 1193 1494 689 1114 1176
## Cancellation 380 378 275 302 326 315 329 313 377
## DNA 230 175 99 264 279 165 123 209 233
##
## Jun-23 Mar-20 Mar-21 Mar-22 Mar-23 May-20 May-21 May-22 May-23
## Attendance 1501 779 1136 1144 1632 513 1060 1339 1579
## Cancellation 314 735 349 476 305 359 334 418 373
## DNA 118 247 146 220 155 82 192 260 156
##
## Nov-20 Nov-21 Nov-22 Nov-23 Oct-20 Oct-21 Oct-22 Oct-23 Sep-20
## Attendance 998 1221 1621 1579 1002 1129 1427 1526 1061
## Cancellation 315 384 371 349 296 325 327 347 427
## DNA 141 285 177 173 191 232 178 176 213
##
## Sep-21 Sep-22 Sep-23
## Attendance 1118 1397 1589
## Cancellation 330 402 316
## DNA 293 245 178## Predictor description (categorical)
### Data frame for nominal/ binary values of variables
options(digits=2)
cbind(sort(table(main_processed$Clinic.Type_recode),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$Clinic.Type_recode)),5),deparse.level=2,decreasing=TRUE))## [,1] [,2]
## GENERAL 62429 75.63
## SPINErelated 9460 11.46
## MUSCULOSKELETALrelated 6632 8.04
## PODIATRY 1508 1.83
## UPPER_LIMBrelated 1092 1.32
## NotLocatedInMater 839 1.02
## BACK_PAINrelated 356 0.43
## NTPFfund 227 0.27cbind(sort(table(main_processed$Clinic.Code),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$Clinic.Code)),5),deparse.level=2,decreasing=TRUE))## [,1] [,2]
## 1038 12729 15.421
## 1229 7170 8.686
## 726 7025 8.511
## 1059 6474 7.843
## 1282 5228 6.334
## 786 4984 6.038
## 1341 4114 4.984
## 1206 4013 4.862
## 849 3385 4.101
## 1371 3339 4.045
## 1195 2902 3.516
## 444 2726 3.303
## 806 2669 3.233
## 1283 2603 3.154
## 1369 2587 3.134
## 1065 2458 2.978
## 1095 1508 1.827
## 1114 1230 1.490
## 416 1180 1.430
## 211 647 0.784
## 1383 449 0.544
## 846 361 0.437
## 1405 344 0.417
## 1207 343 0.416
## 847 307 0.372
## 184 297 0.360
## 1197 223 0.270
## 1448 199 0.241
## 778 192 0.233
## 1368 183 0.222
## 1363 142 0.172
## 524 102 0.124
## 1505 95 0.115
## 1498 84 0.102
## 1198 77 0.093
## 784 56 0.068
## 1467 46 0.056
## 1471 42 0.051
## 1031 7 0.008
## 854 6 0.007
## 1236 4 0.005
## 741 3 0.004
## 792 3 0.004
## 791 2 0.002
## 921 2 0.002
## 793 1 0.001
## 1284 1 0.001
## 1362 1 0.001cbind(sort(table(main_processed$NurseFlag),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$NurseFlag)),5),deparse.level=2,decreasing=TRUE))## [,1] [,2]
## N 74545 90.3
## Y 7998 9.7head(cbind(sort(table(main_processed$Medical.Record.Number),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$Medical.Record.Number)),5),deparse.level=2,decreasing=TRUE)),10) #group freq of MRN at 34## [,1] [,2]
## 288756 161 0.195
## 155594 155 0.188
## 981790 147 0.178
## 554658 110 0.133
## 547856 107 0.130
## 1193377 84 0.102
## 210363 79 0.096
## 587771 60 0.073
## 432736 56 0.068
## 1274389 52 0.063cbind(sort(table(main_processed$Referral.Source_recode),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$Referral.Source_recode)),5),deparse.level=2,decreasing=TRUE))## [,1] [,2]
## CLINIC 34796 42.2
## EMERGENCY DEPT 16125 19.5
## GP 13796 16.7
## Elsew outside Mater 7522 9.1
## WARD 6825 8.3
## Elsew of Mater 1814 2.2
## OTHER CONSULTANT 1665 2.0#cbind(sort(table(main_processed$Referring.Hospital),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$Referring.Hospital)),5),deparse.level=2,decreasing=TRUE))
cbind(sort(table(main_processed$Consultant_recode),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$Consultant_recode)),5),deparse.level=2,decreasing=TRUE))## [,1] [,2]
## OHEIRE 10913 13.221
## MOROP 10210 12.369
## COLGAN 8857 10.730
## SYNNOT 6292 7.623
## XX 5739 6.953
## MORRI 5725 6.936
## LYONSF 5204 6.305
## BRIAIN 4840 5.864
## MARA 4795 5.809
## TIMLIN 4497 5.448
## ONEISH 3647 4.418
## BUTLER 3537 4.285
## CASSID 3230 3.913
## DODDSM 2467 2.989
## HYNESD 1148 1.391
## CASHMA 837 1.014
## MURMAR 230 0.279
## LYNCSA 200 0.242
## MCSORK 170 0.206
## ORTCON 3 0.004
## CARMOO 1 0.001
## FRA 1 0.001cbind(sort(table(main_processed$Insurance.Scheme_recode),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$Insurance.Scheme_recode)),5),deparse.level=2,decreasing=TRUE))## [,1] [,2]
## U 35556 43.076
## D 32629 39.530
## V 7056 8.548
## B 2473 2.996
## I 2123 2.572
## S 1145 1.387
## O 530 0.642
## G 427 0.517
## A 190 0.230
## P 130 0.157
## E 118 0.143
## H 100 0.121
## J 53 0.064
## C 7 0.008
## M 6 0.007cbind(sort(table(main_processed$Eligibility_recode),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$Eligibility_recode)),5),deparse.level=2,decreasing=TRUE))## [,1] [,2]
## NON MEDICAL CARD 39208 47.500
## MEDICAL CARD 36831 44.620
## EXEMPT 3518 4.262
## ELIGIBILITY UNKNOWN 1941 2.352
## ACUTE UNCLASSIFIED 830 1.006
## RESEARCH/NATIONAL PROG. 172 0.208
## NON ACUTE UNCLASSIFIED 41 0.050
## 15000+ 2 0.002cbind(sort(table(main_processed$Booking.Type_recode),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$Booking.Type_recode)),5),deparse.level=2,decreasing=TRUE))## [,1] [,2]
## RETURN 45287 54.865
## NEW 26104 31.625
## WARD 5635 6.827
## C : New Virtual Phone 4846 5.871
## B : New Virtual Video 652 0.790
## E : Return Virtual Phone 15 0.018
## D : Return Virtual Video 3 0.004
## V : REVIEW 1 0.001cbind(sort(table(main_processed$bookedDay),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$bookedDay)),5),deparse.level=2,decreasing=TRUE))## [,1] [,2]
## Monday 15432 20.1
## Tuesday 13990 18.2
## Sunday 12522 16.3
## Wednesday 9996 13.0
## Saturday 9156 11.9
## Friday 8542 11.1
## Thursday 7225 9.4cbind(sort(table(main_processed$bookedMonthYear),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$bookedMonthYear)),5),deparse.level=2,decreasing=TRUE))## [,1] [,2]
## Jan 2020 7743 10.1
## Feb 2020 6893 9.0
## Sep 2020 6785 8.8
## Mar 2020 6604 8.6
## Jul 2020 6588 8.6
## Aug 2020 6586 8.6
## Oct 2020 6559 8.5
## Nov 2020 6534 8.5
## Jun 2020 6149 8.0
## May 2020 6096 7.9
## Apr 2020 5237 6.8
## Dec 2020 5089 6.6cbind(sort(table(main_processed$appointmentDay),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$appointmentDay)),5),deparse.level=2,decreasing=TRUE))## [,1] [,2]
## Wednesday 6248 24.127
## Monday 5625 21.722
## Thursday 5328 20.575
## Tuesday 4771 18.424
## Friday 3921 15.141
## Sunday 3 0.012cbind(sort(table(main_processed$appointmentMonthYear),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$appointmentMonthYear)),5),deparse.level=2,decreasing=TRUE))## [,1] [,2]
## Mar 2020 982 3.79
## Jan 2021 704 2.72
## Mar 2022 696 2.69
## Apr 2020 694 2.68
## May 2022 678 2.62
## Nov 2021 669 2.58
## Sep 2022 647 2.50
## Sep 2020 640 2.47
## Apr 2022 625 2.41
## Sep 2021 623 2.41
## Aug 2022 620 2.39
## Jan 2022 610 2.36
## Jun 2022 610 2.36
## Jul 2022 605 2.34
## Feb 2022 579 2.24
## Dec 2021 576 2.22
## Jul 2021 566 2.19
## Oct 2021 557 2.15
## Jan 2023 553 2.14
## Nov 2022 548 2.12
## Aug 2021 546 2.11
## May 2023 529 2.04
## May 2021 527 2.04
## Oct 2023 523 2.02
## Nov 2023 522 2.02
## Jun 2021 521 2.01
## Feb 2021 513 1.98
## Feb 2020 505 1.95
## Oct 2022 505 1.95
## Apr 2023 495 1.91
## Mar 2021 495 1.91
## Sep 2023 494 1.91
## Aug 2023 493 1.90
## Oct 2020 487 1.88
## Jul 2023 480 1.85
## Apr 2021 462 1.78
## Mar 2023 460 1.78
## Nov 2020 456 1.76
## Dec 2022 455 1.76
## Jun 2020 452 1.75
## Aug 2020 451 1.74
## Dec 2023 441 1.70
## May 2020 441 1.70
## Dec 2020 439 1.70
## Jun 2023 432 1.67
## Feb 2023 429 1.66
## Jul 2020 374 1.44
## Jan 2020 187 0.72cbind(sort(table(main_processed$Attendance.Type_recode),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$Attendance.Type_recode)),5),deparse.level=2,decreasing=TRUE))## [,1] [,2]
## RETURN 47699 57.787
## NEW 28584 34.629
## VIRTUAL(New_Return) 5691 6.895
## VIRTUAL RETURN 402 0.487
## 164 0.199
## EMERGENCY 3 0.004cbind(sort(table(main_processed$Attendance.Day),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$Attendance.Day)),5),deparse.level=2,decreasing=TRUE))## [,1] [,2]
## Wednesday 18331 22.208
## Monday 17109 20.727
## Friday 16093 19.497
## Thursday 15540 18.827
## Tuesday 15462 18.732
## Sunday 7 0.008
## Saturday 1 0.001cbind(sort(table(main_processed$Attendance.MonthYear),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$Attendance.MonthYear)),5),deparse.level=2,decreasing=TRUE))## [,1] [,2]
## Nov-22 2169 2.6
## Jan-23 2137 2.6
## May-23 2108 2.6
## Nov-23 2101 2.5
## Mar-23 2092 2.5
## Sep-23 2083 2.5
## Oct-23 2049 2.5
## Sep-22 2044 2.5
## May-22 2017 2.4
## Aug-23 2007 2.4
## Jul-23 1974 2.4
## Jun-23 1933 2.3
## Oct-22 1932 2.3
## Nov-21 1890 2.3
## Feb-23 1881 2.3
## Mar-22 1840 2.2
## Aug-22 1809 2.2
## Jul-22 1798 2.2
## Jun-22 1786 2.2
## Dec-22 1778 2.2
## Apr-22 1777 2.2
## Feb-20 1777 2.2
## Mar-20 1761 2.1
## Sep-21 1741 2.1
## Apr-23 1735 2.1
## Jul-21 1727 2.1
## Feb-22 1712 2.1
## Sep-20 1701 2.1
## Oct-21 1686 2.0
## Jan-22 1679 2.0
## Aug-21 1677 2.0
## Jun-21 1636 2.0
## Mar-21 1631 2.0
## Dec-23 1619 2.0
## May-21 1586 1.9
## Dec-21 1565 1.9
## Jan-21 1550 1.9
## Jan-20 1534 1.9
## Oct-20 1489 1.8
## Apr-21 1461 1.8
## Nov-20 1454 1.8
## Dec-20 1377 1.7
## Feb-21 1361 1.6
## Aug-20 1344 1.6
## Jul-20 1311 1.6
## Jun-20 1141 1.4
## Apr-20 1129 1.4
## May-20 954 1.2cbind(sort(table(main_processed$Attendance.Month),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$Attendance.Month)),5),deparse.level=2,decreasing=TRUE))## [,1] [,2]
## November 7614 9.2
## September 7569 9.2
## March 7324 8.9
## October 7156 8.7
## January 6900 8.4
## August 6837 8.3
## July 6810 8.2
## February 6731 8.2
## May 6665 8.1
## June 6496 7.9
## December 6339 7.7
## April 6102 7.4cbind(sort(table(main_processed$Attendance.Year),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$Attendance.Year)),5),deparse.level=2,decreasing=TRUE))## [,1] [,2]
## 2023 23719 29
## 2022 22341 27
## 2021 19511 24
## 2020 16972 21cbind(sort(table(main_processed$No.Attendances),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$No.Attendances)),5),deparse.level=2,decreasing=TRUE))## [,1] [,2]
## 1 56640 1e+02
## 2 5 9e-03
## 3 2 4e-03cbind(sort(table(main_processed$New.Attendances),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$New.Attendances)),5),deparse.level=2,decreasing=TRUE))## [,1] [,2]
## 0 34655 61
## 1 21992 39cbind(sort(table(main_processed$No.Cancels),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$No.Cancels)),5),deparse.level=2,decreasing=TRUE))## [,1] [,2]
## 1 17099 66
## 0 8797 34cbind(sort(table(main_processed$Cancellation.Group),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$Cancellation.Group)),5),deparse.level=2,decreasing=TRUE))## [,1] [,2]
## N/A 56647 68.6
## Hospital 10259 12.4
## DNA 8797 10.7
## Patient 5716 6.9
## Validation 1124 1.4cbind(sort(table(main_processed$Reason.for.Cancellation_recode),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$Reason.for.Cancellation_recode)),5),deparse.level=2,decreasing=TRUE))## [,1] [,2]
## 56647 68.6
## No show 8797 10.7
## By Patient 4985 6.0
## By Cslt/AN/Tech 4393 5.3
## By Hospital 3696 4.5
## By Covid 2691 3.3
## By Patient-health conditions 1334 1.6cbind(sort(table(main_processed$Rebooked.Indicator),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$Rebooked.Indicator)),5),deparse.level=2,decreasing=TRUE))## [,1] [,2]
## 56647 69
## No 16603 20
## Yes 9293 11cbind(sort(table(main_processed$Hospital.Catchment_recode),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$Hospital.Catchment_recode)),5),deparse.level=2,decreasing=TRUE))## [,1] [,2]
## Mater 38988 47.23
## National 24245 29.37
## James 5422 6.57
## Connolly 4360 5.28
## Beaumont 3669 4.45
## Vincents 3589 4.35
## Tallaght 1853 2.25
## International 417 0.50cbind(sort(table(main_processed$Gender),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$Gender)),5),deparse.level=2,decreasing=TRUE))## [,1] [,2]
## Female 41481 5e+01
## Male 41056 5e+01
## Unknown 6 7e-03cbind(sort(table(main_processed$Area.of.Residence_recode),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$Area.of.Residence_recode)),5),deparse.level=2,decreasing=TRUE))## [,1] [,2]
## DUBLIN NTH 53149 64.39
## EASTERN & MIDLAND REGION (excl.Dublin) 11091 13.44
## DUBLIN STH 10918 13.23
## SOUTHERN REGION 3999 4.84
## NORTHERN WESTERN REGION 2918 3.54
## UNKNOWN 331 0.40
## OUTSIDE IRELAND 137 0.17cbind(sort(table(main_processed$addressDiff),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$addressDiff)),5),deparse.level=2,decreasing=TRUE))## [,1] [,2]
## 0 70120 85
## 1 12423 15cbind(sort(table(main_processed$Age.at.Attendance.Cat.HSE),decreasing=TRUE),sort(100*round(prop.table(table(main_processed$Age.at.Attendance.Cat.HSE)),5),deparse.level=2,decreasing=TRUE))## [,1] [,2]
## 55 - 64 14948 18.109
## 45 - 54 14508 17.576
## 35 - 44 12611 15.278
## 65 - 74 11913 14.432
## 25 - 34 11585 14.035
## 15 - 24 9032 10.942
## 75 - 84 6236 7.555
## 85 >= 1686 2.043
## Oct-14 14 0.017
## 0 - 4 9 0.011
## 05-Sep 1 0.001## Predictor description (numeric)
summary(main_processed$Age.at.Attendance)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0 34 50 50 64 105stat.desc(main_processed$Age.at.Attendance, basic=F)## median mean SE.mean CI.mean.0.95 var std.dev
## 50.000 49.637 0.065 0.126 343.618 18.537
## coef.var
## 0.373skew(main_processed$Age.at.Attendance)## skew (g1) se z p
## 0.0235 0.0085 2.7506 0.0059kurtosis(main_processed$Age.at.Attendance)## [1] -0.89summary(main_processed$daysDiff_attendanceAppoint)## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -1 365 730 545 731 1096 56647stat.desc(main_processed$daysDiff_attendanceAppoint, basic=F)## median mean SE.mean CI.mean.0.95 var std.dev
## 7.3e+02 5.5e+02 2.5e+00 4.8e+00 1.6e+05 4.0e+02
## coef.var
## 7.3e-01skew(main_processed$daysDiff_attendanceAppoint)## Warning in skew(main_processed$daysDiff_attendanceAppoint): Missing
## observations are removed from a vector.## skew (g1) se z p
## -0.0062 0.0152 -0.4084 0.6830kurtosis(main_processed$daysDiff_attendanceAppoint)## [1] -1.3summary(main_processed$daysDiff_attendanceBooked)## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -350 -34 -15 -6 -6 362 5680stat.desc(main_processed$daysDiff_attendanceBooked, basic=F)## median mean SE.mean CI.mean.0.95 var std.dev
## -15.00 -6.07 0.33 0.65 8489.97 92.14
## coef.var
## -15.17skew(main_processed$daysDiff_attendanceBooked)## Warning in skew(main_processed$daysDiff_attendanceBooked): Missing observations
## are removed from a vector.## skew (g1) se z p
## 2.4e+00 8.8e-03 2.7e+02 0.0e+00kurtosis(main_processed$daysDiff_attendanceBooked)## [1] 6.8summary(main_processed$daysDiff_AppointBooked)## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -1424 -814 -485 -557 -137 0 56647stat.desc(main_processed$daysDiff_AppointBooked, basic=F)## median mean SE.mean CI.mean.0.95 var std.dev
## -4.8e+02 -5.6e+02 2.5e+00 4.8e+00 1.6e+05 4.0e+02
## coef.var
## -7.1e-01skew(main_processed$daysDiff_AppointBooked)## Warning in skew(main_processed$daysDiff_AppointBooked): Missing observations
## are removed from a vector.## skew (g1) se z p
## -8.8e-02 1.5e-02 -5.8e+00 7.0e-09kurtosis(main_processed$daysDiff_AppointBooked)## [1] -1.3
## Warning: The dot-dot notation (`..density..`) was deprecated in ggplot2 3.4.0.
## ℹ Please use `after_stat(density)` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.## Warning: Use of `main_processed$Age.at.Attendance` is discouraged.
## ℹ Use `Age.at.Attendance` instead.
## Use of `main_processed$Age.at.Attendance` is discouraged.
## ℹ Use `Age.at.Attendance` instead.
## Warning: Use of `main_processed$Record.Type` is discouraged.
## ℹ Use `Record.Type` instead.
## Warning: Removed 25896 rows containing non-finite values (`stat_count()`).
## <ggproto object: Class ScaleDiscrete, Scale, gg>
## aesthetics: fill
## axis_order: function
## break_info: function
## break_positions: function
## breaks: waiver
## call: call
## clone: function
## dimension: function
## drop: TRUE
## expand: waiver
## get_breaks: function
## get_breaks_minor: function
## get_labels: function
## get_limits: function
## guide: legend
## is_discrete: function
## is_empty: function
## labels: General
## limits: NULL
## make_sec_title: function
## make_title: function
## map: function
## map_df: function
## n.breaks.cache: NULL
## na.translate: TRUE
## na.value: grey50
## name: waiver
## palette: function
## palette.cache: NULL
## position: left
## range: environment
## rescale: function
## reset: function
## scale_name: hue
## train: function
## train_df: function
## transform: function
## transform_df: function
## super: <ggproto object: Class ScaleDiscrete, Scale, gg>
## Warning: Removed 5517 rows containing non-finite values (`stat_count()`).
## Warning: Removed 5680 rows containing non-finite values (`stat_count()`).
## Warning: Removed 56650 rows containing non-finite values (`stat_count()`).
## Warning: Removed 569 rows containing non-finite values (`stat_count()`).
## [1] "character"
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## $ type : chr "u"
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## ..- attr(*, "dimnames")=List of 2
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## $ call : language qcc(data = bookedMonthYear_tb$freq, type = "c", labels = bookedMonthYear_tb$month, plot = T)
## $ type : chr "c"
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## $ data : int [1:12, 1] 5237 6586 5089 6893 7743 6588 6149 6604 6096 6534 ...
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## $ sizes : int [1:12] 1 1 1 1 1 1 1 1 1 1 ...
## $ center : num 6405
## $ std.dev : num 80
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## ..- attr(*, "dimnames")=List of 2
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## List of 11
## $ call : language qcc(data = appointmentMonthYear_tb$freq, type = "u", sizes = appointmentMonthYear_tb$freq, labels = appointm| __truncated__
## $ type : chr "u"
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## $ data : int [1:48, 1] 694 462 625 495 451 546 620 493 439 576 ...
## ..- attr(*, "dimnames")=List of 2
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## ..- attr(*, "dimnames")=List of 2
## $ violations:List of 2
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## List of 11
## $ call : language qcc(data = appointmentMonthYear_tb$freq, type = "c", labels = appointmentMonthYear_tb$month, plot = T)
## $ type : chr "c"
## $ data.name : chr "appointmentMonthYear_tb$freq"
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## ..- attr(*, "dimnames")=List of 2
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## $ call : language qcc(data = attendanceMonthYear_tb$freq, type = "u", sizes = attendanceMonthYear_tb$freq, labels = attendance| __truncated__
## $ type : chr "u"
## $ data.name : chr "attendanceMonthYear_tb$freq"
## $ data : int [1:48, 1] 1129 1461 1777 1735 1344 1677 1809 2007 1377 1565 ...
## ..- attr(*, "dimnames")=List of 2
## $ statistics: Named num [1:48] 1 1 1 1 1 1 1 1 1 1 ...
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## $ center : num 1
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## ..- attr(*, "dimnames")=List of 2
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## List of 11
## $ call : language qcc(data = attendanceMonthYear_tb$freq, type = "c", labels = attendanceMonthYear_tb$month, plot = T)
## $ type : chr "c"
## $ data.name : chr "attendanceMonthYear_tb$freq"
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## Warning: tz(): Don't know how to compute timezone for object of class factor;
## returning "UTC".## Warning: tz(): Don't know how to compute timezone for object of class factor;
## returning "UTC".
## Warning: tz(): Don't know how to compute timezone for object of class factor;
## returning "UTC".
## Warning: tz(): Don't know how to compute timezone for object of class factor;
## returning "UTC".
## Warning: tz(): Don't know how to compute timezone for object of class factor;
## returning "UTC".
## Warning: tz(): Don't know how to compute timezone for object of class factor;
## returning "UTC".
Correlation of outcome and predictor (nominal and nominal)
Total No. correlation
## Record Type & Clinic relevance
#library(dplyr)
CrossTable(main_processed$Clinic.Type_recode, main_processed$Record.Type, digits=2, fisher=F, chisq=TRUE, expected=TRUE)##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 82543
##
##
## | main_processed$Record.Type
## main_processed$Clinic.Type_recode | Attendance | Cancellation | DNA | Row Total |
## ----------------------------------|--------------|--------------|--------------|--------------|
## BACK_PAINrelated | 188 | 152 | 16 | 356 |
## | 244.31 | 73.75 | 37.94 | |
## | 12.98 | 83.04 | 12.69 | |
## | 0.53 | 0.43 | 0.04 | 0.00 |
## | 0.00 | 0.01 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ----------------------------------|--------------|--------------|--------------|--------------|
## GENERAL | 44958 | 10696 | 6775 | 62429 |
## | 42843.31 | 12932.33 | 6653.36 | |
## | 104.38 | 386.72 | 2.22 | |
## | 0.72 | 0.17 | 0.11 | 0.76 |
## | 0.79 | 0.63 | 0.77 | |
## | 0.54 | 0.13 | 0.08 | |
## ----------------------------------|--------------|--------------|--------------|--------------|
## MUSCULOSKELETALrelated | 3846 | 2014 | 772 | 6632 |
## | 4551.36 | 1373.84 | 706.80 | |
## | 109.32 | 298.30 | 6.01 | |
## | 0.58 | 0.30 | 0.12 | 0.08 |
## | 0.07 | 0.12 | 0.09 | |
## | 0.05 | 0.02 | 0.01 | |
## ----------------------------------|--------------|--------------|--------------|--------------|
## NotLocatedInMater | 525 | 225 | 89 | 839 |
## | 575.78 | 173.80 | 89.42 | |
## | 4.48 | 15.08 | 0.00 | |
## | 0.63 | 0.27 | 0.11 | 0.01 |
## | 0.01 | 0.01 | 0.01 | |
## | 0.01 | 0.00 | 0.00 | |
## ----------------------------------|--------------|--------------|--------------|--------------|
## NTPFfund | 97 | 70 | 60 | 227 |
## | 155.78 | 47.02 | 24.19 | |
## | 22.18 | 11.23 | 53.00 | |
## | 0.43 | 0.31 | 0.26 | 0.00 |
## | 0.00 | 0.00 | 0.01 | |
## | 0.00 | 0.00 | 0.00 | |
## ----------------------------------|--------------|--------------|--------------|--------------|
## PODIATRY | 1312 | 64 | 132 | 1508 |
## | 1034.90 | 312.39 | 160.71 | |
## | 74.20 | 197.50 | 5.13 | |
## | 0.87 | 0.04 | 0.09 | 0.02 |
## | 0.02 | 0.00 | 0.02 | |
## | 0.02 | 0.00 | 0.00 | |
## ----------------------------------|--------------|--------------|--------------|--------------|
## SPINErelated | 5061 | 3566 | 833 | 9460 |
## | 6492.14 | 1959.66 | 1008.20 | |
## | 315.48 | 1316.71 | 30.44 | |
## | 0.53 | 0.38 | 0.09 | 0.11 |
## | 0.09 | 0.21 | 0.09 | |
## | 0.06 | 0.04 | 0.01 | |
## ----------------------------------|--------------|--------------|--------------|--------------|
## UPPER_LIMBrelated | 660 | 312 | 120 | 1092 |
## | 749.41 | 226.21 | 116.38 | |
## | 10.67 | 32.54 | 0.11 | |
## | 0.60 | 0.29 | 0.11 | 0.01 |
## | 0.01 | 0.02 | 0.01 | |
## | 0.01 | 0.00 | 0.00 | |
## ----------------------------------|--------------|--------------|--------------|--------------|
## Column Total | 56647 | 17099 | 8797 | 82543 |
## | 0.69 | 0.21 | 0.11 | |
## ----------------------------------|--------------|--------------|--------------|--------------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 3104 d.f. = 14 p = 0
##
##
## CrossTable(main_processed$Clinic.Code, main_processed$Record.Type, digits=2, fisher=F, chisq=TRUE, expected=TRUE)## Warning in chisq.test(t, correct = FALSE, ...): Chi-squared approximation may
## be incorrect##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 82543
##
##
## | main_processed$Record.Type
## main_processed$Clinic.Code | Attendance | Cancellation | DNA | Row Total |
## ---------------------------|--------------|--------------|--------------|--------------|
## 184 | 167 | 108 | 22 | 297 |
## | 203.82 | 61.52 | 31.65 | |
## | 6.65 | 35.11 | 2.94 | |
## | 0.56 | 0.36 | 0.07 | 0.00 |
## | 0.00 | 0.01 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 211 | 370 | 186 | 91 | 647 |
## | 444.02 | 134.03 | 68.95 | |
## | 12.34 | 20.15 | 7.05 | |
## | 0.57 | 0.29 | 0.14 | 0.01 |
## | 0.01 | 0.01 | 0.01 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 416 | 693 | 318 | 169 | 1180 |
## | 809.80 | 244.44 | 125.76 | |
## | 16.85 | 22.14 | 14.87 | |
## | 0.59 | 0.27 | 0.14 | 0.01 |
## | 0.01 | 0.02 | 0.02 | |
## | 0.01 | 0.00 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 444 | 2065 | 396 | 265 | 2726 |
## | 1870.78 | 564.70 | 290.52 | |
## | 20.16 | 50.40 | 2.24 | |
## | 0.76 | 0.15 | 0.10 | 0.03 |
## | 0.04 | 0.02 | 0.03 | |
## | 0.03 | 0.00 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 524 | 102 | 0 | 0 | 102 |
## | 70.00 | 21.13 | 10.87 | |
## | 14.63 | 21.13 | 10.87 | |
## | 1.00 | 0.00 | 0.00 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 726 | 5066 | 1155 | 804 | 7025 |
## | 4821.07 | 1455.25 | 748.69 | |
## | 12.44 | 61.95 | 4.09 | |
## | 0.72 | 0.16 | 0.11 | 0.09 |
## | 0.09 | 0.07 | 0.09 | |
## | 0.06 | 0.01 | 0.01 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 741 | 2 | 1 | 0 | 3 |
## | 2.06 | 0.62 | 0.32 | |
## | 0.00 | 0.23 | 0.32 | |
## | 0.67 | 0.33 | 0.00 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 778 | 119 | 67 | 6 | 192 |
## | 131.76 | 39.77 | 20.46 | |
## | 1.24 | 18.64 | 10.22 | |
## | 0.62 | 0.35 | 0.03 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 784 | 29 | 18 | 9 | 56 |
## | 38.43 | 11.60 | 5.97 | |
## | 2.31 | 3.53 | 1.54 | |
## | 0.52 | 0.32 | 0.16 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 786 | 2801 | 1697 | 486 | 4984 |
## | 3420.38 | 1032.45 | 531.17 | |
## | 112.16 | 427.75 | 3.84 | |
## | 0.56 | 0.34 | 0.10 | 0.06 |
## | 0.05 | 0.10 | 0.06 | |
## | 0.03 | 0.02 | 0.01 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 791 | 1 | 1 | 0 | 2 |
## | 1.37 | 0.41 | 0.21 | |
## | 0.10 | 0.83 | 0.21 | |
## | 0.50 | 0.50 | 0.00 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 792 | 3 | 0 | 0 | 3 |
## | 2.06 | 0.62 | 0.32 | |
## | 0.43 | 0.62 | 0.32 | |
## | 1.00 | 0.00 | 0.00 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 793 | 1 | 0 | 0 | 1 |
## | 0.69 | 0.21 | 0.11 | |
## | 0.14 | 0.21 | 0.11 | |
## | 1.00 | 0.00 | 0.00 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 806 | 1701 | 759 | 209 | 2669 |
## | 1831.66 | 552.89 | 284.45 | |
## | 9.32 | 76.83 | 20.01 | |
## | 0.64 | 0.28 | 0.08 | 0.03 |
## | 0.03 | 0.04 | 0.02 | |
## | 0.02 | 0.01 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 846 | 256 | 77 | 28 | 361 |
## | 247.74 | 74.78 | 38.47 | |
## | 0.28 | 0.07 | 2.85 | |
## | 0.71 | 0.21 | 0.08 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 847 | 97 | 201 | 9 | 307 |
## | 210.69 | 63.60 | 32.72 | |
## | 61.34 | 296.87 | 17.19 | |
## | 0.32 | 0.65 | 0.03 | 0.00 |
## | 0.00 | 0.01 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 849 | 1701 | 1375 | 309 | 3385 |
## | 2323.03 | 701.21 | 360.76 | |
## | 166.56 | 647.44 | 7.43 | |
## | 0.50 | 0.41 | 0.09 | 0.04 |
## | 0.03 | 0.08 | 0.04 | |
## | 0.02 | 0.02 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 854 | 6 | 0 | 0 | 6 |
## | 4.12 | 1.24 | 0.64 | |
## | 0.86 | 1.24 | 0.64 | |
## | 1.00 | 0.00 | 0.00 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 921 | 0 | 0 | 2 | 2 |
## | 1.37 | 0.41 | 0.21 | |
## | 1.37 | 0.41 | 14.98 | |
## | 0.00 | 0.00 | 1.00 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 1031 | 2 | 4 | 1 | 7 |
## | 4.80 | 1.45 | 0.75 | |
## | 1.64 | 4.48 | 0.09 | |
## | 0.29 | 0.57 | 0.14 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 1038 | 10260 | 1163 | 1306 | 12729 |
## | 8735.56 | 2636.85 | 1356.59 | |
## | 266.03 | 823.80 | 1.89 | |
## | 0.81 | 0.09 | 0.10 | 0.15 |
## | 0.18 | 0.07 | 0.15 | |
## | 0.12 | 0.01 | 0.02 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 1059 | 3732 | 1982 | 760 | 6474 |
## | 4442.93 | 1341.11 | 689.96 | |
## | 113.76 | 306.27 | 7.11 | |
## | 0.58 | 0.31 | 0.12 | 0.08 |
## | 0.07 | 0.12 | 0.09 | |
## | 0.05 | 0.02 | 0.01 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 1065 | 1355 | 827 | 276 | 2458 |
## | 1686.86 | 509.18 | 261.96 | |
## | 65.29 | 198.37 | 0.75 | |
## | 0.55 | 0.34 | 0.11 | 0.03 |
## | 0.02 | 0.05 | 0.03 | |
## | 0.02 | 0.01 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 1095 | 1312 | 64 | 132 | 1508 |
## | 1034.90 | 312.39 | 160.71 | |
## | 74.20 | 197.50 | 5.13 | |
## | 0.87 | 0.04 | 0.09 | 0.02 |
## | 0.02 | 0.00 | 0.02 | |
## | 0.02 | 0.00 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 1114 | 438 | 673 | 119 | 1230 |
## | 844.12 | 254.80 | 131.09 | |
## | 195.39 | 686.40 | 1.11 | |
## | 0.36 | 0.55 | 0.10 | 0.01 |
## | 0.01 | 0.04 | 0.01 | |
## | 0.01 | 0.01 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 1195 | 1429 | 1269 | 204 | 2902 |
## | 1991.56 | 601.16 | 309.28 | |
## | 158.91 | 741.93 | 35.84 | |
## | 0.49 | 0.44 | 0.07 | 0.04 |
## | 0.03 | 0.07 | 0.02 | |
## | 0.02 | 0.02 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 1197 | 97 | 66 | 60 | 223 |
## | 153.04 | 46.20 | 23.77 | |
## | 20.52 | 8.49 | 55.24 | |
## | 0.43 | 0.30 | 0.27 | 0.00 |
## | 0.00 | 0.00 | 0.01 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 1198 | 21 | 56 | 0 | 77 |
## | 52.84 | 15.95 | 8.21 | |
## | 19.19 | 100.56 | 8.21 | |
## | 0.27 | 0.73 | 0.00 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 1206 | 2996 | 565 | 452 | 4013 |
## | 2754.01 | 831.30 | 427.68 | |
## | 21.26 | 85.31 | 1.38 | |
## | 0.75 | 0.14 | 0.11 | 0.05 |
## | 0.05 | 0.03 | 0.05 | |
## | 0.04 | 0.01 | 0.01 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 1207 | 188 | 126 | 29 | 343 |
## | 235.39 | 71.05 | 36.56 | |
## | 9.54 | 42.49 | 1.56 | |
## | 0.55 | 0.37 | 0.08 | 0.00 |
## | 0.00 | 0.01 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 1229 | 5384 | 846 | 940 | 7170 |
## | 4920.57 | 1485.28 | 764.14 | |
## | 43.65 | 275.16 | 40.47 | |
## | 0.75 | 0.12 | 0.13 | 0.09 |
## | 0.10 | 0.05 | 0.11 | |
## | 0.07 | 0.01 | 0.01 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 1236 | 0 | 4 | 0 | 4 |
## | 2.75 | 0.83 | 0.43 | |
## | 2.75 | 12.14 | 0.43 | |
## | 0.00 | 1.00 | 0.00 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 1282 | 4119 | 535 | 574 | 5228 |
## | 3587.83 | 1082.99 | 557.17 | |
## | 78.64 | 277.28 | 0.51 | |
## | 0.79 | 0.10 | 0.11 | 0.06 |
## | 0.07 | 0.03 | 0.07 | |
## | 0.05 | 0.01 | 0.01 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 1283 | 1352 | 991 | 260 | 2603 |
## | 1786.37 | 539.22 | 277.41 | |
## | 105.62 | 378.52 | 1.09 | |
## | 0.52 | 0.38 | 0.10 | 0.03 |
## | 0.02 | 0.06 | 0.03 | |
## | 0.02 | 0.01 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 1284 | 0 | 0 | 1 | 1 |
## | 0.69 | 0.21 | 0.11 | |
## | 0.69 | 0.21 | 7.49 | |
## | 0.00 | 0.00 | 1.00 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 1341 | 3160 | 497 | 457 | 4114 |
## | 2823.33 | 852.23 | 438.45 | |
## | 40.15 | 148.07 | 0.78 | |
## | 0.77 | 0.12 | 0.11 | 0.05 |
## | 0.06 | 0.03 | 0.05 | |
## | 0.04 | 0.01 | 0.01 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 1362 | 0 | 1 | 0 | 1 |
## | 0.69 | 0.21 | 0.11 | |
## | 0.69 | 3.03 | 0.11 | |
## | 0.00 | 1.00 | 0.00 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 1363 | 101 | 30 | 11 | 142 |
## | 97.45 | 29.42 | 15.13 | |
## | 0.13 | 0.01 | 1.13 | |
## | 0.71 | 0.21 | 0.08 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 1368 | 96 | 76 | 11 | 183 |
## | 125.59 | 37.91 | 19.50 | |
## | 6.97 | 38.27 | 3.71 | |
## | 0.52 | 0.42 | 0.06 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 1369 | 2080 | 270 | 237 | 2587 |
## | 1775.39 | 535.90 | 275.71 | |
## | 52.26 | 131.94 | 5.43 | |
## | 0.80 | 0.10 | 0.09 | 0.03 |
## | 0.04 | 0.02 | 0.03 | |
## | 0.03 | 0.00 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 1371 | 2522 | 398 | 419 | 3339 |
## | 2291.46 | 691.68 | 355.85 | |
## | 23.19 | 124.70 | 11.21 | |
## | 0.76 | 0.12 | 0.13 | 0.04 |
## | 0.04 | 0.02 | 0.05 | |
## | 0.03 | 0.00 | 0.01 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 1383 | 296 | 121 | 32 | 449 |
## | 308.14 | 93.01 | 47.85 | |
## | 0.48 | 8.42 | 5.25 | |
## | 0.66 | 0.27 | 0.07 | 0.01 |
## | 0.01 | 0.01 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 1405 | 210 | 94 | 40 | 344 |
## | 236.08 | 71.26 | 36.66 | |
## | 2.88 | 7.26 | 0.30 | |
## | 0.61 | 0.27 | 0.12 | 0.00 |
## | 0.00 | 0.01 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 1448 | 138 | 38 | 23 | 199 |
## | 136.57 | 41.22 | 21.21 | |
## | 0.02 | 0.25 | 0.15 | |
## | 0.69 | 0.19 | 0.12 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 1467 | 19 | 10 | 17 | 46 |
## | 31.57 | 9.53 | 4.90 | |
## | 5.00 | 0.02 | 29.85 | |
## | 0.41 | 0.22 | 0.37 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 1471 | 25 | 11 | 6 | 42 |
## | 28.82 | 8.70 | 4.48 | |
## | 0.51 | 0.61 | 0.52 | |
## | 0.60 | 0.26 | 0.14 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 1498 | 64 | 4 | 16 | 84 |
## | 57.65 | 17.40 | 8.95 | |
## | 0.70 | 10.32 | 5.55 | |
## | 0.76 | 0.05 | 0.19 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 1505 | 71 | 19 | 5 | 95 |
## | 65.20 | 19.68 | 10.12 | |
## | 0.52 | 0.02 | 2.59 | |
## | 0.75 | 0.20 | 0.05 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## Column Total | 56647 | 17099 | 8797 | 82543 |
## | 0.69 | 0.21 | 0.11 | |
## ---------------------------|--------------|--------------|--------------|--------------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 8404 d.f. = 94 p = 0
##
##
## CrossTable(main_processed$NurseFlag, main_processed$Record.Type, digits=2, fisher=F, chisq=TRUE, expected=TRUE)##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 82543
##
##
## | main_processed$Record.Type
## main_processed$NurseFlag | Attendance | Cancellation | DNA | Row Total |
## -------------------------|--------------|--------------|--------------|--------------|
## N | 51594 | 15047 | 7904 | 74545 |
## | 51158.19 | 15442.19 | 7944.62 | |
## | 3.71 | 10.11 | 0.21 | |
## | 0.69 | 0.20 | 0.11 | 0.90 |
## | 0.91 | 0.88 | 0.90 | |
## | 0.63 | 0.18 | 0.10 | |
## -------------------------|--------------|--------------|--------------|--------------|
## Y | 5053 | 2052 | 893 | 7998 |
## | 5488.81 | 1656.81 | 852.38 | |
## | 34.60 | 94.26 | 1.94 | |
## | 0.63 | 0.26 | 0.11 | 0.10 |
## | 0.09 | 0.12 | 0.10 | |
## | 0.06 | 0.02 | 0.01 | |
## -------------------------|--------------|--------------|--------------|--------------|
## Column Total | 56647 | 17099 | 8797 | 82543 |
## | 0.69 | 0.21 | 0.11 | |
## -------------------------|--------------|--------------|--------------|--------------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 145 d.f. = 2 p = 3.5e-32
##
##
## CrossTable(main_processed$Referral.Source_recode, main_processed$Record.Type, digits=2, fisher=F, chisq=TRUE, expected=TRUE)##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 82543
##
##
## | main_processed$Record.Type
## main_processed$Referral.Source_recode | Attendance | Cancellation | DNA | Row Total |
## --------------------------------------|--------------|--------------|--------------|--------------|
## CLINIC | 24269 | 7042 | 3485 | 34796 |
## | 23879.54 | 7208.08 | 3708.38 | |
## | 6.35 | 3.83 | 13.46 | |
## | 0.70 | 0.20 | 0.10 | 0.42 |
## | 0.43 | 0.41 | 0.40 | |
## | 0.29 | 0.09 | 0.04 | |
## --------------------------------------|--------------|--------------|--------------|--------------|
## Elsew of Mater | 1658 | 113 | 43 | 1814 |
## | 1244.90 | 375.77 | 193.33 | |
## | 137.08 | 183.76 | 116.89 | |
## | 0.91 | 0.06 | 0.02 | 0.02 |
## | 0.03 | 0.01 | 0.00 | |
## | 0.02 | 0.00 | 0.00 | |
## --------------------------------------|--------------|--------------|--------------|--------------|
## Elsew outside Mater | 5012 | 1882 | 628 | 7522 |
## | 5162.14 | 1558.20 | 801.66 | |
## | 4.37 | 67.29 | 37.62 | |
## | 0.67 | 0.25 | 0.08 | 0.09 |
## | 0.09 | 0.11 | 0.07 | |
## | 0.06 | 0.02 | 0.01 | |
## --------------------------------------|--------------|--------------|--------------|--------------|
## EMERGENCY DEPT | 12764 | 1523 | 1838 | 16125 |
## | 11066.15 | 3340.34 | 1718.52 | |
## | 260.50 | 988.74 | 8.31 | |
## | 0.79 | 0.09 | 0.11 | 0.20 |
## | 0.23 | 0.09 | 0.21 | |
## | 0.15 | 0.02 | 0.02 | |
## --------------------------------------|--------------|--------------|--------------|--------------|
## GP | 7387 | 4704 | 1705 | 13796 |
## | 9467.82 | 2857.88 | 1470.31 | |
## | 457.32 | 1192.55 | 37.46 | |
## | 0.54 | 0.34 | 0.12 | 0.17 |
## | 0.13 | 0.28 | 0.19 | |
## | 0.09 | 0.06 | 0.02 | |
## --------------------------------------|--------------|--------------|--------------|--------------|
## OTHER CONSULTANT | 991 | 481 | 193 | 1665 |
## | 1142.64 | 344.91 | 177.45 | |
## | 20.13 | 53.70 | 1.36 | |
## | 0.60 | 0.29 | 0.12 | 0.02 |
## | 0.02 | 0.03 | 0.02 | |
## | 0.01 | 0.01 | 0.00 | |
## --------------------------------------|--------------|--------------|--------------|--------------|
## WARD | 4566 | 1354 | 905 | 6825 |
## | 4683.81 | 1413.82 | 727.37 | |
## | 2.96 | 2.53 | 43.38 | |
## | 0.67 | 0.20 | 0.13 | 0.08 |
## | 0.08 | 0.08 | 0.10 | |
## | 0.06 | 0.02 | 0.01 | |
## --------------------------------------|--------------|--------------|--------------|--------------|
## Column Total | 56647 | 17099 | 8797 | 82543 |
## | 0.69 | 0.21 | 0.11 | |
## --------------------------------------|--------------|--------------|--------------|--------------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 3640 d.f. = 12 p = 0
##
##
## #CrossTable(main_processed$Referring.Hospital, main_processed$Record.Type, digits=2, fisher=F, chisq=TRUE, expected=TRUE)
CrossTable(main_processed$Consultant_recode, main_processed$Record.Type, digits=2, fisher=F, chisq=TRUE, expected=TRUE)## Warning in chisq.test(t, correct = FALSE, ...): Chi-squared approximation may
## be incorrect##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 82543
##
##
## | main_processed$Record.Type
## main_processed$Consultant_recode | Attendance | Cancellation | DNA | Row Total |
## ---------------------------------|--------------|--------------|--------------|--------------|
## BRIAIN | 3668 | 691 | 481 | 4840 |
## | 3321.56 | 1002.62 | 515.82 | |
## | 36.13 | 96.85 | 2.35 | |
## | 0.76 | 0.14 | 0.10 | 0.06 |
## | 0.06 | 0.04 | 0.05 | |
## | 0.04 | 0.01 | 0.01 | |
## ---------------------------------|--------------|--------------|--------------|--------------|
## BUTLER | 2064 | 1269 | 204 | 3537 |
## | 2427.35 | 732.70 | 376.95 | |
## | 54.39 | 392.55 | 79.36 | |
## | 0.58 | 0.36 | 0.06 | 0.04 |
## | 0.04 | 0.07 | 0.02 | |
## | 0.03 | 0.02 | 0.00 | |
## ---------------------------------|--------------|--------------|--------------|--------------|
## CARMOO | 1 | 0 | 0 | 1 |
## | 0.69 | 0.21 | 0.11 | |
## | 0.14 | 0.21 | 0.11 | |
## | 1.00 | 0.00 | 0.00 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------------|--------------|--------------|--------------|--------------|
## CASHMA | 522 | 278 | 37 | 837 |
## | 574.41 | 173.39 | 89.20 | |
## | 4.78 | 63.12 | 30.55 | |
## | 0.62 | 0.33 | 0.04 | 0.01 |
## | 0.01 | 0.02 | 0.00 | |
## | 0.01 | 0.00 | 0.00 | |
## ---------------------------------|--------------|--------------|--------------|--------------|
## CASSID | 1951 | 991 | 288 | 3230 |
## | 2216.66 | 669.10 | 344.24 | |
## | 31.84 | 154.86 | 9.19 | |
## | 0.60 | 0.31 | 0.09 | 0.04 |
## | 0.03 | 0.06 | 0.03 | |
## | 0.02 | 0.01 | 0.00 | |
## ---------------------------------|--------------|--------------|--------------|--------------|
## COLGAN | 7071 | 846 | 940 | 8857 |
## | 6078.32 | 1834.75 | 943.93 | |
## | 162.12 | 532.84 | 0.02 | |
## | 0.80 | 0.10 | 0.11 | 0.11 |
## | 0.12 | 0.05 | 0.11 | |
## | 0.09 | 0.01 | 0.01 | |
## ---------------------------------|--------------|--------------|--------------|--------------|
## DODDSM | 1359 | 831 | 277 | 2467 |
## | 1693.03 | 511.05 | 262.92 | |
## | 65.90 | 200.32 | 0.75 | |
## | 0.55 | 0.34 | 0.11 | 0.03 |
## | 0.02 | 0.05 | 0.03 | |
## | 0.02 | 0.01 | 0.00 | |
## ---------------------------------|--------------|--------------|--------------|--------------|
## FRA | 1 | 0 | 0 | 1 |
## | 0.69 | 0.21 | 0.11 | |
## | 0.14 | 0.21 | 0.11 | |
## | 1.00 | 0.00 | 0.00 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------------|--------------|--------------|--------------|--------------|
## HYNESD | 741 | 294 | 113 | 1148 |
## | 787.84 | 237.81 | 122.35 | |
## | 2.78 | 13.28 | 0.71 | |
## | 0.65 | 0.26 | 0.10 | 0.01 |
## | 0.01 | 0.02 | 0.01 | |
## | 0.01 | 0.00 | 0.00 | |
## ---------------------------------|--------------|--------------|--------------|--------------|
## LYNCSA | 139 | 38 | 23 | 200 |
## | 137.25 | 41.43 | 21.31 | |
## | 0.02 | 0.28 | 0.13 | |
## | 0.69 | 0.19 | 0.12 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------------|--------------|--------------|--------------|--------------|
## LYONSF | 4387 | 398 | 419 | 5204 |
## | 3571.36 | 1078.02 | 554.62 | |
## | 186.28 | 428.96 | 33.16 | |
## | 0.84 | 0.08 | 0.08 | 0.06 |
## | 0.08 | 0.02 | 0.05 | |
## | 0.05 | 0.00 | 0.01 | |
## ---------------------------------|--------------|--------------|--------------|--------------|
## MARA | 3841 | 497 | 457 | 4795 |
## | 3290.68 | 993.30 | 511.03 | |
## | 92.03 | 247.97 | 5.71 | |
## | 0.80 | 0.10 | 0.10 | 0.06 |
## | 0.07 | 0.03 | 0.05 | |
## | 0.05 | 0.01 | 0.01 | |
## ---------------------------------|--------------|--------------|--------------|--------------|
## MCSORK | 150 | 4 | 16 | 170 |
## | 116.67 | 35.22 | 18.12 | |
## | 9.52 | 27.67 | 0.25 | |
## | 0.88 | 0.02 | 0.09 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------------|--------------|--------------|--------------|--------------|
## MOROP | 8054 | 1220 | 936 | 10210 |
## | 7006.84 | 2115.03 | 1088.13 | |
## | 156.50 | 378.75 | 21.27 | |
## | 0.79 | 0.12 | 0.09 | 0.12 |
## | 0.14 | 0.07 | 0.11 | |
## | 0.10 | 0.01 | 0.01 | |
## ---------------------------------|--------------|--------------|--------------|--------------|
## MORRI | 3488 | 1725 | 512 | 5725 |
## | 3928.91 | 1185.95 | 610.14 | |
## | 49.48 | 245.02 | 15.79 | |
## | 0.61 | 0.30 | 0.09 | 0.07 |
## | 0.06 | 0.10 | 0.06 | |
## | 0.04 | 0.02 | 0.01 | |
## ---------------------------------|--------------|--------------|--------------|--------------|
## MURMAR | 157 | 67 | 6 | 230 |
## | 157.84 | 47.65 | 24.51 | |
## | 0.00 | 7.86 | 13.98 | |
## | 0.68 | 0.29 | 0.03 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------------|--------------|--------------|--------------|--------------|
## OHEIRE | 8511 | 1556 | 846 | 10913 |
## | 7489.29 | 2260.66 | 1163.05 | |
## | 139.38 | 219.64 | 86.43 | |
## | 0.78 | 0.14 | 0.08 | 0.13 |
## | 0.15 | 0.09 | 0.10 | |
## | 0.10 | 0.02 | 0.01 | |
## ---------------------------------|--------------|--------------|--------------|--------------|
## ONEISH | 3123 | 281 | 243 | 3647 |
## | 2502.84 | 755.49 | 388.68 | |
## | 153.67 | 298.00 | 54.60 | |
## | 0.86 | 0.08 | 0.07 | 0.04 |
## | 0.06 | 0.02 | 0.03 | |
## | 0.04 | 0.00 | 0.00 | |
## ---------------------------------|--------------|--------------|--------------|--------------|
## ORTCON | 1 | 0 | 2 | 3 |
## | 2.06 | 0.62 | 0.32 | |
## | 0.54 | 0.62 | 8.83 | |
## | 0.33 | 0.00 | 0.67 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------------|--------------|--------------|--------------|--------------|
## SYNNOT | 4662 | 1156 | 474 | 6292 |
## | 4318.03 | 1303.40 | 670.57 | |
## | 27.40 | 16.67 | 57.62 | |
## | 0.74 | 0.18 | 0.08 | 0.08 |
## | 0.08 | 0.07 | 0.05 | |
## | 0.06 | 0.01 | 0.01 | |
## ---------------------------------|--------------|--------------|--------------|--------------|
## TIMLIN | 2756 | 1432 | 309 | 4497 |
## | 3086.17 | 931.57 | 479.27 | |
## | 35.32 | 268.83 | 60.49 | |
## | 0.61 | 0.32 | 0.07 | 0.05 |
## | 0.05 | 0.08 | 0.04 | |
## | 0.03 | 0.02 | 0.00 | |
## ---------------------------------|--------------|--------------|--------------|--------------|
## XX | 0 | 3525 | 2214 | 5739 |
## | 3938.52 | 1188.85 | 611.63 | |
## | 3938.52 | 4590.66 | 4197.92 | |
## | 0.00 | 0.61 | 0.39 | 0.07 |
## | 0.00 | 0.21 | 0.25 | |
## | 0.00 | 0.04 | 0.03 | |
## ---------------------------------|--------------|--------------|--------------|--------------|
## Column Total | 56647 | 17099 | 8797 | 82543 |
## | 0.69 | 0.21 | 0.11 | |
## ---------------------------------|--------------|--------------|--------------|--------------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 18011 d.f. = 42 p = 0
##
##
## CrossTable(main_processed$Insurance.Scheme_recode, main_processed$Record.Type, digits=2, fisher=F, chisq=TRUE, expected=TRUE)## Warning in chisq.test(t, correct = FALSE, ...): Chi-squared approximation may
## be incorrect##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 82543
##
##
## | main_processed$Record.Type
## main_processed$Insurance.Scheme_recode | Attendance | Cancellation | DNA | Row Total |
## ---------------------------------------|--------------|--------------|--------------|--------------|
## A | 137 | 34 | 19 | 190 |
## | 130.39 | 39.36 | 20.25 | |
## | 0.33 | 0.73 | 0.08 | |
## | 0.72 | 0.18 | 0.10 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------------------|--------------|--------------|--------------|--------------|
## B | 1780 | 539 | 154 | 2473 |
## | 1697.15 | 512.29 | 263.56 | |
## | 4.04 | 1.39 | 45.54 | |
## | 0.72 | 0.22 | 0.06 | 0.03 |
## | 0.03 | 0.03 | 0.02 | |
## | 0.02 | 0.01 | 0.00 | |
## ---------------------------------------|--------------|--------------|--------------|--------------|
## C | 6 | 0 | 1 | 7 |
## | 4.80 | 1.45 | 0.75 | |
## | 0.30 | 1.45 | 0.09 | |
## | 0.86 | 0.00 | 0.14 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------------------|--------------|--------------|--------------|--------------|
## D | 21396 | 7210 | 4023 | 32629 |
## | 22392.39 | 6759.18 | 3477.43 | |
## | 44.34 | 30.07 | 85.59 | |
## | 0.66 | 0.22 | 0.12 | 0.40 |
## | 0.38 | 0.42 | 0.46 | |
## | 0.26 | 0.09 | 0.05 | |
## ---------------------------------------|--------------|--------------|--------------|--------------|
## E | 83 | 28 | 7 | 118 |
## | 80.98 | 24.44 | 12.58 | |
## | 0.05 | 0.52 | 2.47 | |
## | 0.70 | 0.24 | 0.06 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------------------|--------------|--------------|--------------|--------------|
## G | 336 | 64 | 27 | 427 |
## | 293.04 | 88.45 | 45.51 | |
## | 6.30 | 6.76 | 7.53 | |
## | 0.79 | 0.15 | 0.06 | 0.01 |
## | 0.01 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------------------|--------------|--------------|--------------|--------------|
## H | 70 | 20 | 10 | 100 |
## | 68.63 | 20.72 | 10.66 | |
## | 0.03 | 0.02 | 0.04 | |
## | 0.70 | 0.20 | 0.10 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------------------|--------------|--------------|--------------|--------------|
## I | 1562 | 424 | 137 | 2123 |
## | 1456.96 | 439.79 | 226.26 | |
## | 7.57 | 0.57 | 35.21 | |
## | 0.74 | 0.20 | 0.06 | 0.03 |
## | 0.03 | 0.02 | 0.02 | |
## | 0.02 | 0.01 | 0.00 | |
## ---------------------------------------|--------------|--------------|--------------|--------------|
## J | 42 | 8 | 3 | 53 |
## | 36.37 | 10.98 | 5.65 | |
## | 0.87 | 0.81 | 1.24 | |
## | 0.79 | 0.15 | 0.06 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------------------|--------------|--------------|--------------|--------------|
## M | 5 | 0 | 1 | 6 |
## | 4.12 | 1.24 | 0.64 | |
## | 0.19 | 1.24 | 0.20 | |
## | 0.83 | 0.00 | 0.17 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------------------|--------------|--------------|--------------|--------------|
## O | 368 | 82 | 80 | 530 |
## | 363.72 | 109.79 | 56.48 | |
## | 0.05 | 7.03 | 9.79 | |
## | 0.69 | 0.15 | 0.15 | 0.01 |
## | 0.01 | 0.00 | 0.01 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------------------|--------------|--------------|--------------|--------------|
## P | 104 | 22 | 4 | 130 |
## | 89.22 | 26.93 | 13.85 | |
## | 2.45 | 0.90 | 7.01 | |
## | 0.80 | 0.17 | 0.03 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ---------------------------------------|--------------|--------------|--------------|--------------|
## S | 881 | 191 | 73 | 1145 |
## | 785.78 | 237.19 | 122.03 | |
## | 11.54 | 8.99 | 19.70 | |
## | 0.77 | 0.17 | 0.06 | 0.01 |
## | 0.02 | 0.01 | 0.01 | |
## | 0.01 | 0.00 | 0.00 | |
## ---------------------------------------|--------------|--------------|--------------|--------------|
## U | 24738 | 7096 | 3722 | 35556 |
## | 24401.11 | 7365.52 | 3789.37 | |
## | 4.65 | 9.86 | 1.20 | |
## | 0.70 | 0.20 | 0.10 | 0.43 |
## | 0.44 | 0.41 | 0.42 | |
## | 0.30 | 0.09 | 0.05 | |
## ---------------------------------------|--------------|--------------|--------------|--------------|
## V | 5139 | 1381 | 536 | 7056 |
## | 4842.34 | 1461.67 | 751.99 | |
## | 18.17 | 4.45 | 62.04 | |
## | 0.73 | 0.20 | 0.08 | 0.09 |
## | 0.09 | 0.08 | 0.06 | |
## | 0.06 | 0.02 | 0.01 | |
## ---------------------------------------|--------------|--------------|--------------|--------------|
## Column Total | 56647 | 17099 | 8797 | 82543 |
## | 0.69 | 0.21 | 0.11 | |
## ---------------------------------------|--------------|--------------|--------------|--------------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 453 d.f. = 28 p = 2.5e-78
##
##
## CrossTable(main_processed$Eligibility_recode, main_processed$Record.Type, digits=2, fisher=F, chisq=TRUE, expected=TRUE)## Warning in chisq.test(t, correct = FALSE, ...): Chi-squared approximation may
## be incorrect##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 82543
##
##
## | main_processed$Record.Type
## main_processed$Eligibility_recode | Attendance | Cancellation | DNA | Row Total |
## ----------------------------------|--------------|--------------|--------------|--------------|
## 15000+ | 0 | 2 | 0 | 2 |
## | 1.37 | 0.41 | 0.21 | |
## | 1.37 | 6.07 | 0.21 | |
## | 0.00 | 1.00 | 0.00 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ----------------------------------|--------------|--------------|--------------|--------------|
## ACUTE UNCLASSIFIED | 560 | 163 | 107 | 830 |
## | 569.61 | 171.94 | 88.46 | |
## | 0.16 | 0.46 | 3.89 | |
## | 0.67 | 0.20 | 0.13 | 0.01 |
## | 0.01 | 0.01 | 0.01 | |
## | 0.01 | 0.00 | 0.00 | |
## ----------------------------------|--------------|--------------|--------------|--------------|
## ELIGIBILITY UNKNOWN | 588 | 863 | 490 | 1941 |
## | 1332.06 | 402.08 | 206.86 | |
## | 415.61 | 528.36 | 387.54 | |
## | 0.30 | 0.44 | 0.25 | 0.02 |
## | 0.01 | 0.05 | 0.06 | |
## | 0.01 | 0.01 | 0.01 | |
## ----------------------------------|--------------|--------------|--------------|--------------|
## EXEMPT | 2560 | 686 | 272 | 3518 |
## | 2414.31 | 728.76 | 374.93 | |
## | 8.79 | 2.51 | 28.26 | |
## | 0.73 | 0.19 | 0.08 | 0.04 |
## | 0.05 | 0.04 | 0.03 | |
## | 0.03 | 0.01 | 0.00 | |
## ----------------------------------|--------------|--------------|--------------|--------------|
## MEDICAL CARD | 24168 | 8438 | 4225 | 36831 |
## | 25276.11 | 7629.64 | 3925.25 | |
## | 48.58 | 85.65 | 22.89 | |
## | 0.66 | 0.23 | 0.11 | 0.45 |
## | 0.43 | 0.49 | 0.48 | |
## | 0.29 | 0.10 | 0.05 | |
## ----------------------------------|--------------|--------------|--------------|--------------|
## NON ACUTE UNCLASSIFIED | 29 | 9 | 3 | 41 |
## | 28.14 | 8.49 | 4.37 | |
## | 0.03 | 0.03 | 0.43 | |
## | 0.71 | 0.22 | 0.07 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ----------------------------------|--------------|--------------|--------------|--------------|
## NON MEDICAL CARD | 28632 | 6888 | 3688 | 39208 |
## | 26907.38 | 8122.04 | 4178.58 | |
## | 110.54 | 187.50 | 57.60 | |
## | 0.73 | 0.18 | 0.09 | 0.48 |
## | 0.51 | 0.40 | 0.42 | |
## | 0.35 | 0.08 | 0.04 | |
## ----------------------------------|--------------|--------------|--------------|--------------|
## RESEARCH/NATIONAL PROG. | 110 | 50 | 12 | 172 |
## | 118.04 | 35.63 | 18.33 | |
## | 0.55 | 5.80 | 2.19 | |
## | 0.64 | 0.29 | 0.07 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ----------------------------------|--------------|--------------|--------------|--------------|
## Column Total | 56647 | 17099 | 8797 | 82543 |
## | 0.69 | 0.21 | 0.11 | |
## ----------------------------------|--------------|--------------|--------------|--------------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 1905 d.f. = 14 p = 0
##
##
## CrossTable(main_processed$Booking.Type_recode, main_processed$Record.Type, digits=2, fisher=F, chisq=TRUE, expected=TRUE)## Warning in chisq.test(t, correct = FALSE, ...): Chi-squared approximation may
## be incorrect##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 82543
##
##
## | main_processed$Record.Type
## main_processed$Booking.Type_recode | Attendance | Cancellation | DNA | Row Total |
## -----------------------------------|--------------|--------------|--------------|--------------|
## B : New Virtual Video | 489 | 86 | 77 | 652 |
## | 447.45 | 135.06 | 69.49 | |
## | 3.86 | 17.82 | 0.81 | |
## | 0.75 | 0.13 | 0.12 | 0.01 |
## | 0.01 | 0.01 | 0.01 | |
## | 0.01 | 0.00 | 0.00 | |
## -----------------------------------|--------------|--------------|--------------|--------------|
## C : New Virtual Phone | 4567 | 202 | 77 | 4846 |
## | 3325.68 | 1003.86 | 516.46 | |
## | 463.33 | 640.51 | 373.94 | |
## | 0.94 | 0.04 | 0.02 | 0.06 |
## | 0.08 | 0.01 | 0.01 | |
## | 0.06 | 0.00 | 0.00 | |
## -----------------------------------|--------------|--------------|--------------|--------------|
## D : Return Virtual Video | 3 | 0 | 0 | 3 |
## | 2.06 | 0.62 | 0.32 | |
## | 0.43 | 0.62 | 0.32 | |
## | 1.00 | 0.00 | 0.00 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## -----------------------------------|--------------|--------------|--------------|--------------|
## E : Return Virtual Phone | 12 | 0 | 3 | 15 |
## | 10.29 | 3.11 | 1.60 | |
## | 0.28 | 3.11 | 1.23 | |
## | 0.80 | 0.00 | 0.20 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## -----------------------------------|--------------|--------------|--------------|--------------|
## NEW | 16164 | 6589 | 3351 | 26104 |
## | 17914.46 | 5407.51 | 2782.03 | |
## | 171.04 | 258.14 | 116.36 | |
## | 0.62 | 0.25 | 0.13 | 0.32 |
## | 0.29 | 0.39 | 0.38 | |
## | 0.20 | 0.08 | 0.04 | |
## -----------------------------------|--------------|--------------|--------------|--------------|
## RETURN | 31668 | 9125 | 4494 | 45287 |
## | 31079.23 | 9381.32 | 4826.45 | |
## | 11.15 | 7.00 | 22.90 | |
## | 0.70 | 0.20 | 0.10 | 0.55 |
## | 0.56 | 0.53 | 0.51 | |
## | 0.38 | 0.11 | 0.05 | |
## -----------------------------------|--------------|--------------|--------------|--------------|
## V : REVIEW | 0 | 1 | 0 | 1 |
## | 0.69 | 0.21 | 0.11 | |
## | 0.69 | 3.03 | 0.11 | |
## | 0.00 | 1.00 | 0.00 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## -----------------------------------|--------------|--------------|--------------|--------------|
## WARD | 3744 | 1096 | 795 | 5635 |
## | 3867.15 | 1167.31 | 600.55 | |
## | 3.92 | 4.36 | 62.96 | |
## | 0.66 | 0.19 | 0.14 | 0.07 |
## | 0.07 | 0.06 | 0.09 | |
## | 0.05 | 0.01 | 0.01 | |
## -----------------------------------|--------------|--------------|--------------|--------------|
## Column Total | 56647 | 17099 | 8797 | 82543 |
## | 0.69 | 0.21 | 0.11 | |
## -----------------------------------|--------------|--------------|--------------|--------------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 2168 d.f. = 14 p = 0
##
##
## CrossTable(main_processed$Hospital.Catchment_recode, main_processed$Record.Type, digits=2, fisher=F, chisq=TRUE, expected=TRUE)##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 82543
##
##
## | main_processed$Record.Type
## main_processed$Hospital.Catchment_recode | Attendance | Cancellation | DNA | Row Total |
## -----------------------------------------|--------------|--------------|--------------|--------------|
## Beaumont | 2707 | 644 | 318 | 3669 |
## | 2517.93 | 760.04 | 391.02 | |
## | 14.20 | 17.72 | 13.64 | |
## | 0.74 | 0.18 | 0.09 | 0.04 |
## | 0.05 | 0.04 | 0.04 | |
## | 0.03 | 0.01 | 0.00 | |
## -----------------------------------------|--------------|--------------|--------------|--------------|
## Connolly | 2986 | 961 | 413 | 4360 |
## | 2992.15 | 903.19 | 464.67 | |
## | 0.01 | 3.70 | 5.74 | |
## | 0.68 | 0.22 | 0.09 | 0.05 |
## | 0.05 | 0.06 | 0.05 | |
## | 0.04 | 0.01 | 0.01 | |
## -----------------------------------------|--------------|--------------|--------------|--------------|
## International | 256 | 94 | 67 | 417 |
## | 286.18 | 86.38 | 44.44 | |
## | 3.18 | 0.67 | 11.45 | |
## | 0.61 | 0.23 | 0.16 | 0.01 |
## | 0.00 | 0.01 | 0.01 | |
## | 0.00 | 0.00 | 0.00 | |
## -----------------------------------------|--------------|--------------|--------------|--------------|
## James | 3884 | 885 | 653 | 5422 |
## | 3720.97 | 1123.18 | 577.85 | |
## | 7.14 | 50.51 | 9.77 | |
## | 0.72 | 0.16 | 0.12 | 0.07 |
## | 0.07 | 0.05 | 0.07 | |
## | 0.05 | 0.01 | 0.01 | |
## -----------------------------------------|--------------|--------------|--------------|--------------|
## Mater | 27563 | 6791 | 4634 | 38988 |
## | 26756.40 | 8076.47 | 4155.14 | |
## | 24.32 | 204.60 | 55.19 | |
## | 0.71 | 0.17 | 0.12 | 0.47 |
## | 0.49 | 0.40 | 0.53 | |
## | 0.33 | 0.08 | 0.06 | |
## -----------------------------------------|--------------|--------------|--------------|--------------|
## National | 15402 | 6726 | 2117 | 24245 |
## | 16638.68 | 5022.42 | 2583.90 | |
## | 91.92 | 577.85 | 84.37 | |
## | 0.64 | 0.28 | 0.09 | 0.29 |
## | 0.27 | 0.39 | 0.24 | |
## | 0.19 | 0.08 | 0.03 | |
## -----------------------------------------|--------------|--------------|--------------|--------------|
## Tallaght | 1301 | 332 | 220 | 1853 |
## | 1271.66 | 383.85 | 197.48 | |
## | 0.68 | 7.00 | 2.57 | |
## | 0.70 | 0.18 | 0.12 | 0.02 |
## | 0.02 | 0.02 | 0.03 | |
## | 0.02 | 0.00 | 0.00 | |
## -----------------------------------------|--------------|--------------|--------------|--------------|
## Vincents | 2548 | 666 | 375 | 3589 |
## | 2463.03 | 743.47 | 382.50 | |
## | 2.93 | 8.07 | 0.15 | |
## | 0.71 | 0.19 | 0.10 | 0.04 |
## | 0.04 | 0.04 | 0.04 | |
## | 0.03 | 0.01 | 0.00 | |
## -----------------------------------------|--------------|--------------|--------------|--------------|
## Column Total | 56647 | 17099 | 8797 | 82543 |
## | 0.69 | 0.21 | 0.11 | |
## -----------------------------------------|--------------|--------------|--------------|--------------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 1197 d.f. = 14 p = 6.4e-247
##
##
## CrossTable(main_processed$Attendance.Type_recode, main_processed$Record.Type, digits=2, fisher=F, chisq=TRUE, expected=TRUE)## Warning in chisq.test(t, correct = FALSE, ...): Chi-squared approximation may
## be incorrect##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 82543
##
##
## | main_processed$Record.Type
## main_processed$Attendance.Type_recode | Attendance | Cancellation | DNA | Row Total |
## --------------------------------------|--------------|--------------|--------------|--------------|
## | 0 | 87 | 77 | 164 |
## | 112.55 | 33.97 | 17.48 | |
## | 112.55 | 82.77 | 202.70 | |
## | 0.00 | 0.53 | 0.47 | 0.00 |
## | 0.00 | 0.01 | 0.01 | |
## | 0.00 | 0.00 | 0.00 | |
## --------------------------------------|--------------|--------------|--------------|--------------|
## EMERGENCY | 0 | 0 | 3 | 3 |
## | 2.06 | 0.62 | 0.32 | |
## | 2.06 | 0.62 | 22.47 | |
## | 0.00 | 0.00 | 1.00 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## --------------------------------------|--------------|--------------|--------------|--------------|
## NEW | 16753 | 7685 | 4146 | 28584 |
## | 19616.42 | 5921.25 | 3046.33 | |
## | 417.97 | 525.36 | 396.96 | |
## | 0.59 | 0.27 | 0.15 | 0.35 |
## | 0.30 | 0.45 | 0.47 | |
## | 0.20 | 0.09 | 0.05 | |
## --------------------------------------|--------------|--------------|--------------|--------------|
## RETURN | 34080 | 9125 | 4494 | 47699 |
## | 32734.52 | 9880.97 | 5083.51 | |
## | 55.30 | 57.84 | 68.36 | |
## | 0.71 | 0.19 | 0.09 | 0.58 |
## | 0.60 | 0.53 | 0.51 | |
## | 0.41 | 0.11 | 0.05 | |
## --------------------------------------|--------------|--------------|--------------|--------------|
## VIRTUAL RETURN | 402 | 0 | 0 | 402 |
## | 275.88 | 83.28 | 42.84 | |
## | 57.65 | 83.28 | 42.84 | |
## | 1.00 | 0.00 | 0.00 | 0.00 |
## | 0.01 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## --------------------------------------|--------------|--------------|--------------|--------------|
## VIRTUAL(New_Return) | 5412 | 202 | 77 | 5691 |
## | 3905.58 | 1178.91 | 606.52 | |
## | 581.04 | 809.52 | 462.29 | |
## | 0.95 | 0.04 | 0.01 | 0.07 |
## | 0.10 | 0.01 | 0.01 | |
## | 0.07 | 0.00 | 0.00 | |
## --------------------------------------|--------------|--------------|--------------|--------------|
## Column Total | 56647 | 17099 | 8797 | 82543 |
## | 0.69 | 0.21 | 0.11 | |
## --------------------------------------|--------------|--------------|--------------|--------------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 3982 d.f. = 10 p = 0
##
##
## ## Record Type & Date relevance
CrossTable(main_processed$bookedDay, main_processed$Record.Type, digits=2, fisher=F, chisq=TRUE, expected=TRUE)##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 76863
##
##
## | main_processed$Record.Type
## main_processed$bookedDay | Attendance | Cancellation | DNA | Row Total |
## -------------------------|--------------|--------------|--------------|--------------|
## Friday | 6093 | 1624 | 825 | 8542 |
## | 5664.11 | 1900.26 | 977.64 | |
## | 32.48 | 40.16 | 23.83 | |
## | 0.71 | 0.19 | 0.10 | 0.11 |
## | 0.12 | 0.09 | 0.09 | |
## | 0.08 | 0.02 | 0.01 | |
## -------------------------|--------------|--------------|--------------|--------------|
## Monday | 10047 | 3542 | 1843 | 15432 |
## | 10232.79 | 3433.01 | 1766.20 | |
## | 3.37 | 3.46 | 3.34 | |
## | 0.65 | 0.23 | 0.12 | 0.20 |
## | 0.20 | 0.21 | 0.21 | |
## | 0.13 | 0.05 | 0.02 | |
## -------------------------|--------------|--------------|--------------|--------------|
## Saturday | 6436 | 1785 | 935 | 9156 |
## | 6071.24 | 2036.85 | 1047.91 | |
## | 21.91 | 31.14 | 12.17 | |
## | 0.70 | 0.19 | 0.10 | 0.12 |
## | 0.13 | 0.10 | 0.11 | |
## | 0.08 | 0.02 | 0.01 | |
## -------------------------|--------------|--------------|--------------|--------------|
## Sunday | 8519 | 2600 | 1403 | 12522 |
## | 8303.20 | 2785.65 | 1433.15 | |
## | 5.61 | 12.37 | 0.63 | |
## | 0.68 | 0.21 | 0.11 | 0.16 |
## | 0.17 | 0.15 | 0.16 | |
## | 0.11 | 0.03 | 0.02 | |
## -------------------------|--------------|--------------|--------------|--------------|
## Thursday | 4574 | 1830 | 821 | 7225 |
## | 4790.82 | 1607.28 | 826.90 | |
## | 9.81 | 30.86 | 0.04 | |
## | 0.63 | 0.25 | 0.11 | 0.09 |
## | 0.09 | 0.11 | 0.09 | |
## | 0.06 | 0.02 | 0.01 | |
## -------------------------|--------------|--------------|--------------|--------------|
## Tuesday | 9013 | 3259 | 1718 | 13990 |
## | 9276.61 | 3112.23 | 1601.16 | |
## | 7.49 | 6.92 | 8.53 | |
## | 0.64 | 0.23 | 0.12 | 0.18 |
## | 0.18 | 0.19 | 0.20 | |
## | 0.12 | 0.04 | 0.02 | |
## -------------------------|--------------|--------------|--------------|--------------|
## Wednesday | 6285 | 2459 | 1252 | 9996 |
## | 6628.24 | 2223.72 | 1144.05 | |
## | 17.77 | 24.89 | 10.19 | |
## | 0.63 | 0.25 | 0.13 | 0.13 |
## | 0.12 | 0.14 | 0.14 | |
## | 0.08 | 0.03 | 0.02 | |
## -------------------------|--------------|--------------|--------------|--------------|
## Column Total | 50967 | 17099 | 8797 | 76863 |
## | 0.66 | 0.22 | 0.11 | |
## -------------------------|--------------|--------------|--------------|--------------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 307 d.f. = 12 p = 1.6e-58
##
##
## CrossTable(main_processed$bookedMonthYear, main_processed$Record.Type, digits=2, fisher=F, chisq=TRUE, expected=TRUE)##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 76863
##
##
## | main_processed$Record.Type
## main_processed$bookedMonthYear | Attendance | Cancellation | DNA | Row Total |
## -------------------------------|--------------|--------------|--------------|--------------|
## Apr 2020 | 3537 | 1064 | 636 | 5237 |
## | 3472.60 | 1165.03 | 599.38 | |
## | 1.19 | 8.76 | 2.24 | |
## | 0.68 | 0.20 | 0.12 | 0.07 |
## | 0.07 | 0.06 | 0.07 | |
## | 0.05 | 0.01 | 0.01 | |
## -------------------------------|--------------|--------------|--------------|--------------|
## Aug 2020 | 4456 | 1319 | 811 | 6586 |
## | 4367.10 | 1465.13 | 753.77 | |
## | 1.81 | 14.57 | 4.35 | |
## | 0.68 | 0.20 | 0.12 | 0.09 |
## | 0.09 | 0.08 | 0.09 | |
## | 0.06 | 0.02 | 0.01 | |
## -------------------------------|--------------|--------------|--------------|--------------|
## Dec 2020 | 3651 | 935 | 503 | 5089 |
## | 3374.46 | 1132.10 | 582.44 | |
## | 22.66 | 34.32 | 10.83 | |
## | 0.72 | 0.18 | 0.10 | 0.07 |
## | 0.07 | 0.05 | 0.06 | |
## | 0.05 | 0.01 | 0.01 | |
## -------------------------------|--------------|--------------|--------------|--------------|
## Feb 2020 | 4193 | 1933 | 767 | 6893 |
## | 4570.67 | 1533.42 | 788.91 | |
## | 31.21 | 104.12 | 0.61 | |
## | 0.61 | 0.28 | 0.11 | 0.09 |
## | 0.08 | 0.11 | 0.09 | |
## | 0.05 | 0.03 | 0.01 | |
## -------------------------------|--------------|--------------|--------------|--------------|
## Jan 2020 | 4682 | 2291 | 770 | 7743 |
## | 5134.30 | 1722.51 | 886.19 | |
## | 39.84 | 187.62 | 15.23 | |
## | 0.60 | 0.30 | 0.10 | 0.10 |
## | 0.09 | 0.13 | 0.09 | |
## | 0.06 | 0.03 | 0.01 | |
## -------------------------------|--------------|--------------|--------------|--------------|
## Jul 2020 | 4430 | 1368 | 790 | 6588 |
## | 4368.43 | 1465.57 | 754.00 | |
## | 0.87 | 6.50 | 1.72 | |
## | 0.67 | 0.21 | 0.12 | 0.09 |
## | 0.09 | 0.08 | 0.09 | |
## | 0.06 | 0.02 | 0.01 | |
## -------------------------------|--------------|--------------|--------------|--------------|
## Jun 2020 | 4334 | 1080 | 735 | 6149 |
## | 4077.33 | 1367.91 | 703.76 | |
## | 16.16 | 60.60 | 1.39 | |
## | 0.70 | 0.18 | 0.12 | 0.08 |
## | 0.09 | 0.06 | 0.08 | |
## | 0.06 | 0.01 | 0.01 | |
## -------------------------------|--------------|--------------|--------------|--------------|
## Mar 2020 | 4034 | 1788 | 782 | 6604 |
## | 4379.04 | 1469.13 | 755.83 | |
## | 27.19 | 69.21 | 0.91 | |
## | 0.61 | 0.27 | 0.12 | 0.09 |
## | 0.08 | 0.10 | 0.09 | |
## | 0.05 | 0.02 | 0.01 | |
## -------------------------------|--------------|--------------|--------------|--------------|
## May 2020 | 4117 | 1197 | 782 | 6096 |
## | 4042.19 | 1356.12 | 697.69 | |
## | 1.38 | 18.67 | 10.19 | |
## | 0.68 | 0.20 | 0.13 | 0.08 |
## | 0.08 | 0.07 | 0.09 | |
## | 0.05 | 0.02 | 0.01 | |
## -------------------------------|--------------|--------------|--------------|--------------|
## Nov 2020 | 4524 | 1306 | 704 | 6534 |
## | 4332.62 | 1453.56 | 747.82 | |
## | 8.45 | 14.98 | 2.57 | |
## | 0.69 | 0.20 | 0.11 | 0.09 |
## | 0.09 | 0.08 | 0.08 | |
## | 0.06 | 0.02 | 0.01 | |
## -------------------------------|--------------|--------------|--------------|--------------|
## Oct 2020 | 4555 | 1292 | 712 | 6559 |
## | 4349.20 | 1459.12 | 750.68 | |
## | 9.74 | 19.14 | 1.99 | |
## | 0.69 | 0.20 | 0.11 | 0.09 |
## | 0.09 | 0.08 | 0.08 | |
## | 0.06 | 0.02 | 0.01 | |
## -------------------------------|--------------|--------------|--------------|--------------|
## Sep 2020 | 4454 | 1526 | 805 | 6785 |
## | 4499.06 | 1509.40 | 776.55 | |
## | 0.45 | 0.18 | 1.04 | |
## | 0.66 | 0.22 | 0.12 | 0.09 |
## | 0.09 | 0.09 | 0.09 | |
## | 0.06 | 0.02 | 0.01 | |
## -------------------------------|--------------|--------------|--------------|--------------|
## Column Total | 50967 | 17099 | 8797 | 76863 |
## | 0.66 | 0.22 | 0.11 | |
## -------------------------------|--------------|--------------|--------------|--------------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 753 d.f. = 22 p = 5.8e-145
##
##
## CrossTable(main_processed$Attendance.Day, main_processed$Record.Type, digits=2, fisher=F, chisq=TRUE, expected=TRUE)## Warning in chisq.test(t, correct = FALSE, ...): Chi-squared approximation may
## be incorrect##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 82543
##
##
## | main_processed$Record.Type
## main_processed$Attendance.Day | Attendance | Cancellation | DNA | Row Total |
## ------------------------------|--------------|--------------|--------------|--------------|
## Friday | 12168 | 2218 | 1707 | 16093 |
## | 11044.19 | 3333.71 | 1715.11 | |
## | 114.36 | 373.40 | 0.04 | |
## | 0.76 | 0.14 | 0.11 | 0.19 |
## | 0.21 | 0.13 | 0.19 | |
## | 0.15 | 0.03 | 0.02 | |
## ------------------------------|--------------|--------------|--------------|--------------|
## Monday | 11482 | 3854 | 1773 | 17109 |
## | 11741.44 | 3544.17 | 1823.39 | |
## | 5.73 | 27.08 | 1.39 | |
## | 0.67 | 0.23 | 0.10 | 0.21 |
## | 0.20 | 0.23 | 0.20 | |
## | 0.14 | 0.05 | 0.02 | |
## ------------------------------|--------------|--------------|--------------|--------------|
## Saturday | 1 | 0 | 0 | 1 |
## | 0.69 | 0.21 | 0.11 | |
## | 0.14 | 0.21 | 0.11 | |
## | 1.00 | 0.00 | 0.00 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ------------------------------|--------------|--------------|--------------|--------------|
## Sunday | 7 | 0 | 0 | 7 |
## | 4.80 | 1.45 | 0.75 | |
## | 1.00 | 1.45 | 0.75 | |
## | 1.00 | 0.00 | 0.00 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ------------------------------|--------------|--------------|--------------|--------------|
## Thursday | 10214 | 3754 | 1572 | 15540 |
## | 10664.68 | 3219.15 | 1656.17 | |
## | 19.05 | 88.86 | 4.28 | |
## | 0.66 | 0.24 | 0.10 | 0.19 |
## | 0.18 | 0.22 | 0.18 | |
## | 0.12 | 0.05 | 0.02 | |
## ------------------------------|--------------|--------------|--------------|--------------|
## Tuesday | 10694 | 2906 | 1862 | 15462 |
## | 10611.15 | 3202.99 | 1647.86 | |
## | 0.65 | 27.54 | 27.83 | |
## | 0.69 | 0.19 | 0.12 | 0.19 |
## | 0.19 | 0.17 | 0.21 | |
## | 0.13 | 0.04 | 0.02 | |
## ------------------------------|--------------|--------------|--------------|--------------|
## Wednesday | 12081 | 4367 | 1883 | 18331 |
## | 12580.06 | 3797.31 | 1953.62 | |
## | 19.80 | 85.47 | 2.55 | |
## | 0.66 | 0.24 | 0.10 | 0.22 |
## | 0.21 | 0.26 | 0.21 | |
## | 0.15 | 0.05 | 0.02 | |
## ------------------------------|--------------|--------------|--------------|--------------|
## Column Total | 56647 | 17099 | 8797 | 82543 |
## | 0.69 | 0.21 | 0.11 | |
## ------------------------------|--------------|--------------|--------------|--------------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 802 d.f. = 12 p = 7.2e-164
##
##
## CrossTable(main_processed$Attendance.Month, main_processed$Record.Type, digits=2, fisher=F, chisq=TRUE, expected=TRUE)##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 82543
##
##
## | main_processed$Record.Type
## main_processed$Attendance.Month | Attendance | Cancellation | DNA | Row Total |
## --------------------------------|--------------|--------------|--------------|--------------|
## April | 3826 | 1640 | 636 | 6102 |
## | 4187.64 | 1264.05 | 650.32 | |
## | 31.23 | 111.82 | 0.32 | |
## | 0.63 | 0.27 | 0.10 | 0.07 |
## | 0.07 | 0.10 | 0.07 | |
## | 0.05 | 0.02 | 0.01 | |
## --------------------------------|--------------|--------------|--------------|--------------|
## August | 4727 | 1367 | 743 | 6837 |
## | 4692.05 | 1416.30 | 728.65 | |
## | 0.26 | 1.72 | 0.28 | |
## | 0.69 | 0.20 | 0.11 | 0.08 |
## | 0.08 | 0.08 | 0.08 | |
## | 0.06 | 0.02 | 0.01 | |
## --------------------------------|--------------|--------------|--------------|--------------|
## December | 4428 | 1219 | 692 | 6339 |
## | 4350.28 | 1313.14 | 675.58 | |
## | 1.39 | 6.75 | 0.40 | |
## | 0.70 | 0.19 | 0.11 | 0.08 |
## | 0.08 | 0.07 | 0.08 | |
## | 0.05 | 0.01 | 0.01 | |
## --------------------------------|--------------|--------------|--------------|--------------|
## February | 4705 | 1373 | 653 | 6731 |
## | 4619.30 | 1394.34 | 717.35 | |
## | 1.59 | 0.33 | 5.77 | |
## | 0.70 | 0.20 | 0.10 | 0.08 |
## | 0.08 | 0.08 | 0.07 | |
## | 0.06 | 0.02 | 0.01 | |
## --------------------------------|--------------|--------------|--------------|--------------|
## January | 4846 | 1411 | 643 | 6900 |
## | 4735.28 | 1429.35 | 735.37 | |
## | 2.59 | 0.24 | 11.60 | |
## | 0.70 | 0.20 | 0.09 | 0.08 |
## | 0.09 | 0.08 | 0.07 | |
## | 0.06 | 0.02 | 0.01 | |
## --------------------------------|--------------|--------------|--------------|--------------|
## July | 4785 | 1218 | 807 | 6810 |
## | 4673.52 | 1410.71 | 725.77 | |
## | 2.66 | 26.33 | 9.09 | |
## | 0.70 | 0.18 | 0.12 | 0.08 |
## | 0.08 | 0.07 | 0.09 | |
## | 0.06 | 0.01 | 0.01 | |
## --------------------------------|--------------|--------------|--------------|--------------|
## June | 4480 | 1333 | 683 | 6496 |
## | 4458.03 | 1345.66 | 692.31 | |
## | 0.11 | 0.12 | 0.13 | |
## | 0.69 | 0.21 | 0.11 | 0.08 |
## | 0.08 | 0.08 | 0.08 | |
## | 0.05 | 0.02 | 0.01 | |
## --------------------------------|--------------|--------------|--------------|--------------|
## March | 4691 | 1865 | 768 | 7324 |
## | 5026.26 | 1517.19 | 780.55 | |
## | 22.36 | 79.74 | 0.20 | |
## | 0.64 | 0.25 | 0.10 | 0.09 |
## | 0.08 | 0.11 | 0.09 | |
## | 0.06 | 0.02 | 0.01 | |
## --------------------------------|--------------|--------------|--------------|--------------|
## May | 4491 | 1484 | 690 | 6665 |
## | 4574.01 | 1380.67 | 710.32 | |
## | 1.51 | 7.73 | 0.58 | |
## | 0.67 | 0.22 | 0.10 | 0.08 |
## | 0.08 | 0.09 | 0.08 | |
## | 0.05 | 0.02 | 0.01 | |
## --------------------------------|--------------|--------------|--------------|--------------|
## November | 5419 | 1419 | 776 | 7614 |
## | 5225.28 | 1577.26 | 811.46 | |
## | 7.18 | 15.88 | 1.55 | |
## | 0.71 | 0.19 | 0.10 | 0.09 |
## | 0.10 | 0.08 | 0.09 | |
## | 0.07 | 0.02 | 0.01 | |
## --------------------------------|--------------|--------------|--------------|--------------|
## October | 5084 | 1295 | 777 | 7156 |
## | 4910.97 | 1482.38 | 762.65 | |
## | 6.10 | 23.69 | 0.27 | |
## | 0.71 | 0.18 | 0.11 | 0.09 |
## | 0.09 | 0.08 | 0.09 | |
## | 0.06 | 0.02 | 0.01 | |
## --------------------------------|--------------|--------------|--------------|--------------|
## September | 5165 | 1475 | 929 | 7569 |
## | 5194.40 | 1567.94 | 806.66 | |
## | 0.17 | 5.51 | 18.55 | |
## | 0.68 | 0.19 | 0.12 | 0.09 |
## | 0.09 | 0.09 | 0.11 | |
## | 0.06 | 0.02 | 0.01 | |
## --------------------------------|--------------|--------------|--------------|--------------|
## Column Total | 56647 | 17099 | 8797 | 82543 |
## | 0.69 | 0.21 | 0.11 | |
## --------------------------------|--------------|--------------|--------------|--------------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 406 d.f. = 22 p = 2.7e-72
##
##
## CrossTable(main_processed$Attendance.Year, main_processed$Record.Type, digits=2, fisher=F, chisq=TRUE, expected=TRUE)##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 82543
##
##
## | main_processed$Record.Type
## main_processed$Attendance.Year | Attendance | Cancellation | DNA | Row Total |
## -------------------------------|--------------|--------------|--------------|--------------|
## 2020 | 10864 | 4310 | 1798 | 16972 |
## | 11647.42 | 3515.79 | 1808.79 | |
## | 52.69 | 179.41 | 0.06 | |
## | 0.64 | 0.25 | 0.11 | 0.21 |
## | 0.19 | 0.25 | 0.20 | |
## | 0.13 | 0.05 | 0.02 | |
## -------------------------------|--------------|--------------|--------------|--------------|
## 2021 | 12752 | 4260 | 2499 | 19511 |
## | 13389.86 | 4041.76 | 2079.38 | |
## | 30.39 | 11.78 | 84.68 | |
## | 0.65 | 0.22 | 0.13 | 0.24 |
## | 0.23 | 0.25 | 0.28 | |
## | 0.15 | 0.05 | 0.03 | |
## -------------------------------|--------------|--------------|--------------|--------------|
## 2022 | 15163 | 4603 | 2575 | 22341 |
## | 15332.02 | 4628.00 | 2380.99 | |
## | 1.86 | 0.14 | 15.81 | |
## | 0.68 | 0.21 | 0.12 | 0.27 |
## | 0.27 | 0.27 | 0.29 | |
## | 0.18 | 0.06 | 0.03 | |
## -------------------------------|--------------|--------------|--------------|--------------|
## 2023 | 17868 | 3926 | 1925 | 23719 |
## | 16277.70 | 4913.45 | 2527.85 | |
## | 155.37 | 198.45 | 143.77 | |
## | 0.75 | 0.17 | 0.08 | 0.29 |
## | 0.32 | 0.23 | 0.22 | |
## | 0.22 | 0.05 | 0.02 | |
## -------------------------------|--------------|--------------|--------------|--------------|
## Column Total | 56647 | 17099 | 8797 | 82543 |
## | 0.69 | 0.21 | 0.11 | |
## -------------------------------|--------------|--------------|--------------|--------------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 874 d.f. = 6 p = 1.3e-185
##
##
## CrossTable(main_processed$Attendance.MonthYear, main_processed$Record.Type, digits=2, fisher=F, chisq=TRUE, expected=TRUE)##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 82543
##
##
## | main_processed$Record.Type
## main_processed$Attendance.MonthYear | Attendance | Cancellation | DNA | Row Total |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Apr-20 | 435 | 591 | 103 | 1129 |
## | 774.80 | 233.88 | 120.32 | |
## | 149.03 | 545.32 | 2.49 | |
## | 0.39 | 0.52 | 0.09 | 0.01 |
## | 0.01 | 0.03 | 0.01 | |
## | 0.01 | 0.01 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Apr-21 | 999 | 296 | 166 | 1461 |
## | 1002.64 | 302.65 | 155.71 | |
## | 0.01 | 0.15 | 0.68 | |
## | 0.68 | 0.20 | 0.11 | 0.02 |
## | 0.02 | 0.02 | 0.02 | |
## | 0.01 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Apr-22 | 1152 | 419 | 206 | 1777 |
## | 1219.51 | 368.11 | 189.38 | |
## | 3.74 | 7.04 | 1.46 | |
## | 0.65 | 0.24 | 0.12 | 0.02 |
## | 0.02 | 0.02 | 0.02 | |
## | 0.01 | 0.01 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Apr-23 | 1240 | 334 | 161 | 1735 |
## | 1190.68 | 359.41 | 184.91 | |
## | 2.04 | 1.80 | 3.09 | |
## | 0.71 | 0.19 | 0.09 | 0.02 |
## | 0.02 | 0.02 | 0.02 | |
## | 0.02 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Aug-20 | 893 | 324 | 127 | 1344 |
## | 922.35 | 278.41 | 143.24 | |
## | 0.93 | 7.46 | 1.84 | |
## | 0.66 | 0.24 | 0.09 | 0.02 |
## | 0.02 | 0.02 | 0.01 | |
## | 0.01 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Aug-21 | 1131 | 292 | 254 | 1677 |
## | 1150.88 | 347.39 | 178.73 | |
## | 0.34 | 8.83 | 31.70 | |
## | 0.67 | 0.17 | 0.15 | 0.02 |
## | 0.02 | 0.02 | 0.03 | |
## | 0.01 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Aug-22 | 1189 | 432 | 188 | 1809 |
## | 1241.47 | 374.74 | 192.79 | |
## | 2.22 | 8.75 | 0.12 | |
## | 0.66 | 0.24 | 0.10 | 0.02 |
## | 0.02 | 0.03 | 0.02 | |
## | 0.01 | 0.01 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Aug-23 | 1514 | 319 | 174 | 2007 |
## | 1377.35 | 415.76 | 213.90 | |
## | 13.56 | 22.52 | 7.44 | |
## | 0.75 | 0.16 | 0.09 | 0.02 |
## | 0.03 | 0.02 | 0.02 | |
## | 0.02 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Dec-20 | 938 | 251 | 188 | 1377 |
## | 945.00 | 285.25 | 146.75 | |
## | 0.05 | 4.11 | 11.59 | |
## | 0.68 | 0.18 | 0.14 | 0.02 |
## | 0.02 | 0.01 | 0.02 | |
## | 0.01 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Dec-21 | 989 | 371 | 205 | 1565 |
## | 1074.02 | 324.19 | 166.79 | |
## | 6.73 | 6.76 | 8.75 | |
## | 0.63 | 0.24 | 0.13 | 0.02 |
## | 0.02 | 0.02 | 0.02 | |
## | 0.01 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Dec-22 | 1323 | 299 | 156 | 1778 |
## | 1220.19 | 368.32 | 189.49 | |
## | 8.66 | 13.05 | 5.92 | |
## | 0.74 | 0.17 | 0.09 | 0.02 |
## | 0.02 | 0.02 | 0.02 | |
## | 0.02 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Dec-23 | 1178 | 298 | 143 | 1619 |
## | 1111.08 | 335.38 | 172.54 | |
## | 4.03 | 4.17 | 5.06 | |
## | 0.73 | 0.18 | 0.09 | 0.02 |
## | 0.02 | 0.02 | 0.02 | |
## | 0.01 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Feb-20 | 1272 | 300 | 205 | 1777 |
## | 1219.51 | 368.11 | 189.38 | |
## | 2.26 | 12.60 | 1.29 | |
## | 0.72 | 0.17 | 0.12 | 0.02 |
## | 0.02 | 0.02 | 0.02 | |
## | 0.02 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Feb-21 | 848 | 419 | 94 | 1361 |
## | 934.02 | 281.93 | 145.05 | |
## | 7.92 | 66.64 | 17.97 | |
## | 0.62 | 0.31 | 0.07 | 0.02 |
## | 0.01 | 0.02 | 0.01 | |
## | 0.01 | 0.01 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Feb-22 | 1133 | 376 | 203 | 1712 |
## | 1174.90 | 354.65 | 182.46 | |
## | 1.49 | 1.29 | 2.31 | |
## | 0.66 | 0.22 | 0.12 | 0.02 |
## | 0.02 | 0.02 | 0.02 | |
## | 0.01 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Feb-23 | 1452 | 278 | 151 | 1881 |
## | 1290.88 | 389.65 | 200.47 | |
## | 20.11 | 31.99 | 12.21 | |
## | 0.77 | 0.15 | 0.08 | 0.02 |
## | 0.03 | 0.02 | 0.02 | |
## | 0.02 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Jan-20 | 1347 | 108 | 79 | 1534 |
## | 1052.74 | 317.77 | 163.49 | |
## | 82.25 | 138.48 | 43.66 | |
## | 0.88 | 0.07 | 0.05 | 0.02 |
## | 0.02 | 0.01 | 0.01 | |
## | 0.02 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Jan-21 | 846 | 545 | 159 | 1550 |
## | 1063.72 | 321.09 | 165.19 | |
## | 44.56 | 156.15 | 0.23 | |
## | 0.55 | 0.35 | 0.10 | 0.02 |
## | 0.01 | 0.03 | 0.02 | |
## | 0.01 | 0.01 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Jan-22 | 1069 | 380 | 230 | 1679 |
## | 1152.25 | 347.81 | 178.94 | |
## | 6.02 | 2.98 | 14.57 | |
## | 0.64 | 0.23 | 0.14 | 0.02 |
## | 0.02 | 0.02 | 0.03 | |
## | 0.01 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Jan-23 | 1584 | 378 | 175 | 2137 |
## | 1466.56 | 442.69 | 227.75 | |
## | 9.40 | 9.45 | 12.22 | |
## | 0.74 | 0.18 | 0.08 | 0.03 |
## | 0.03 | 0.02 | 0.02 | |
## | 0.02 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Jul-20 | 937 | 275 | 99 | 1311 |
## | 899.70 | 271.58 | 139.72 | |
## | 1.55 | 0.04 | 11.87 | |
## | 0.71 | 0.21 | 0.08 | 0.02 |
## | 0.02 | 0.02 | 0.01 | |
## | 0.01 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Jul-21 | 1161 | 302 | 264 | 1727 |
## | 1185.19 | 357.75 | 184.05 | |
## | 0.49 | 8.69 | 34.72 | |
## | 0.67 | 0.17 | 0.15 | 0.02 |
## | 0.02 | 0.02 | 0.03 | |
## | 0.01 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Jul-22 | 1193 | 326 | 279 | 1798 |
## | 1233.92 | 372.46 | 191.62 | |
## | 1.36 | 5.80 | 39.84 | |
## | 0.66 | 0.18 | 0.16 | 0.02 |
## | 0.02 | 0.02 | 0.03 | |
## | 0.01 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Jul-23 | 1494 | 315 | 165 | 1974 |
## | 1354.70 | 408.92 | 210.38 | |
## | 14.32 | 21.57 | 9.79 | |
## | 0.76 | 0.16 | 0.08 | 0.02 |
## | 0.03 | 0.02 | 0.02 | |
## | 0.02 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Jun-20 | 689 | 329 | 123 | 1141 |
## | 783.04 | 236.36 | 121.60 | |
## | 11.29 | 36.31 | 0.02 | |
## | 0.60 | 0.29 | 0.11 | 0.01 |
## | 0.01 | 0.02 | 0.01 | |
## | 0.01 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Jun-21 | 1114 | 313 | 209 | 1636 |
## | 1122.74 | 338.90 | 174.36 | |
## | 0.07 | 1.98 | 6.88 | |
## | 0.68 | 0.19 | 0.13 | 0.02 |
## | 0.02 | 0.02 | 0.02 | |
## | 0.01 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Jun-22 | 1176 | 377 | 233 | 1786 |
## | 1225.68 | 369.97 | 190.34 | |
## | 2.01 | 0.13 | 9.56 | |
## | 0.66 | 0.21 | 0.13 | 0.02 |
## | 0.02 | 0.02 | 0.03 | |
## | 0.01 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Jun-23 | 1501 | 314 | 118 | 1933 |
## | 1326.56 | 400.43 | 206.01 | |
## | 22.94 | 18.65 | 37.60 | |
## | 0.78 | 0.16 | 0.06 | 0.02 |
## | 0.03 | 0.02 | 0.01 | |
## | 0.02 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Mar-20 | 779 | 735 | 247 | 1761 |
## | 1208.53 | 364.80 | 187.68 | |
## | 152.66 | 375.69 | 18.75 | |
## | 0.44 | 0.42 | 0.14 | 0.02 |
## | 0.01 | 0.04 | 0.03 | |
## | 0.01 | 0.01 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Mar-21 | 1136 | 349 | 146 | 1631 |
## | 1119.31 | 337.87 | 173.82 | |
## | 0.25 | 0.37 | 4.45 | |
## | 0.70 | 0.21 | 0.09 | 0.02 |
## | 0.02 | 0.02 | 0.02 | |
## | 0.01 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Mar-22 | 1144 | 476 | 220 | 1840 |
## | 1262.74 | 381.16 | 196.10 | |
## | 11.17 | 23.60 | 2.91 | |
## | 0.62 | 0.26 | 0.12 | 0.02 |
## | 0.02 | 0.03 | 0.03 | |
## | 0.01 | 0.01 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Mar-23 | 1632 | 305 | 155 | 2092 |
## | 1435.68 | 433.36 | 222.95 | |
## | 26.84 | 38.02 | 20.71 | |
## | 0.78 | 0.15 | 0.07 | 0.03 |
## | 0.03 | 0.02 | 0.02 | |
## | 0.02 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## May-20 | 513 | 359 | 82 | 954 |
## | 654.70 | 197.62 | 101.67 | |
## | 30.67 | 131.78 | 3.81 | |
## | 0.54 | 0.38 | 0.09 | 0.01 |
## | 0.01 | 0.02 | 0.01 | |
## | 0.01 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## May-21 | 1060 | 334 | 192 | 1586 |
## | 1088.43 | 328.54 | 169.03 | |
## | 0.74 | 0.09 | 3.12 | |
## | 0.67 | 0.21 | 0.12 | 0.02 |
## | 0.02 | 0.02 | 0.02 | |
## | 0.01 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## May-22 | 1339 | 418 | 260 | 2017 |
## | 1384.21 | 417.83 | 214.96 | |
## | 1.48 | 0.00 | 9.44 | |
## | 0.66 | 0.21 | 0.13 | 0.02 |
## | 0.02 | 0.02 | 0.03 | |
## | 0.02 | 0.01 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## May-23 | 1579 | 373 | 156 | 2108 |
## | 1446.66 | 436.68 | 224.66 | |
## | 12.11 | 9.29 | 20.98 | |
## | 0.75 | 0.18 | 0.07 | 0.03 |
## | 0.03 | 0.02 | 0.02 | |
## | 0.02 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Nov-20 | 998 | 315 | 141 | 1454 |
## | 997.84 | 301.20 | 154.96 | |
## | 0.00 | 0.63 | 1.26 | |
## | 0.69 | 0.22 | 0.10 | 0.02 |
## | 0.02 | 0.02 | 0.02 | |
## | 0.01 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Nov-21 | 1221 | 384 | 285 | 1890 |
## | 1297.06 | 391.52 | 201.43 | |
## | 4.46 | 0.14 | 34.68 | |
## | 0.65 | 0.20 | 0.15 | 0.02 |
## | 0.02 | 0.02 | 0.03 | |
## | 0.01 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Nov-22 | 1621 | 371 | 177 | 2169 |
## | 1488.53 | 449.31 | 231.16 | |
## | 11.79 | 13.65 | 12.69 | |
## | 0.75 | 0.17 | 0.08 | 0.03 |
## | 0.03 | 0.02 | 0.02 | |
## | 0.02 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Nov-23 | 1579 | 349 | 173 | 2101 |
## | 1441.86 | 435.23 | 223.91 | |
## | 13.04 | 17.08 | 11.58 | |
## | 0.75 | 0.17 | 0.08 | 0.03 |
## | 0.03 | 0.02 | 0.02 | |
## | 0.02 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Oct-20 | 1002 | 296 | 191 | 1489 |
## | 1021.86 | 308.45 | 158.69 | |
## | 0.39 | 0.50 | 6.58 | |
## | 0.67 | 0.20 | 0.13 | 0.02 |
## | 0.02 | 0.02 | 0.02 | |
## | 0.01 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Oct-21 | 1129 | 325 | 232 | 1686 |
## | 1157.06 | 349.26 | 179.69 | |
## | 0.68 | 1.69 | 15.23 | |
## | 0.67 | 0.19 | 0.14 | 0.02 |
## | 0.02 | 0.02 | 0.03 | |
## | 0.01 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Oct-22 | 1427 | 327 | 178 | 1932 |
## | 1325.88 | 400.22 | 205.90 | |
## | 7.71 | 13.40 | 3.78 | |
## | 0.74 | 0.17 | 0.09 | 0.02 |
## | 0.03 | 0.02 | 0.02 | |
## | 0.02 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Oct-23 | 1526 | 347 | 176 | 2049 |
## | 1406.17 | 424.46 | 218.37 | |
## | 10.21 | 14.13 | 8.22 | |
## | 0.74 | 0.17 | 0.09 | 0.02 |
## | 0.03 | 0.02 | 0.02 | |
## | 0.02 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Sep-20 | 1061 | 427 | 213 | 1701 |
## | 1167.35 | 352.37 | 181.28 | |
## | 9.69 | 15.81 | 5.55 | |
## | 0.62 | 0.25 | 0.13 | 0.02 |
## | 0.02 | 0.02 | 0.02 | |
## | 0.01 | 0.01 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Sep-21 | 1118 | 330 | 293 | 1741 |
## | 1194.80 | 360.65 | 185.55 | |
## | 4.94 | 2.61 | 62.23 | |
## | 0.64 | 0.19 | 0.17 | 0.02 |
## | 0.02 | 0.02 | 0.03 | |
## | 0.01 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Sep-22 | 1397 | 402 | 245 | 2044 |
## | 1402.74 | 423.42 | 217.84 | |
## | 0.02 | 1.08 | 3.39 | |
## | 0.68 | 0.20 | 0.12 | 0.02 |
## | 0.02 | 0.02 | 0.03 | |
## | 0.02 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Sep-23 | 1589 | 316 | 178 | 2083 |
## | 1429.51 | 431.50 | 222.00 | |
## | 17.80 | 30.92 | 8.72 | |
## | 0.76 | 0.15 | 0.09 | 0.03 |
## | 0.03 | 0.02 | 0.02 | |
## | 0.02 | 0.00 | 0.00 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
## Column Total | 56647 | 17099 | 8797 | 82543 |
## | 0.69 | 0.21 | 0.11 | |
## ------------------------------------|--------------|--------------|--------------|--------------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 3162 d.f. = 94 p = 0
##
##
## ### & difference of days
bartlett.test(main_processed$daysDiff_attendanceAppoint,main_processed$Record.Type)##
## Bartlett test of homogeneity of variances
##
## data: main_processed$daysDiff_attendanceAppoint and main_processed$Record.Type
## Bartlett's K-squared = 29, df = 1, p-value = 6e-08kruskal.test(main_processed$daysDiff_attendanceAppoint ~ main_processed$Record.Type, data=main_processed)##
## Kruskal-Wallis rank sum test
##
## data: main_processed$daysDiff_attendanceAppoint by main_processed$Record.Type
## Kruskal-Wallis chi-squared = 5, df = 1, p-value = 0.03dunn_result <- dunn.test(main_processed$daysDiff_attendanceAppoint, g=main_processed$Record.Type, method="bonferroni")## Kruskal-Wallis rank sum test
##
## data: x and group
## Kruskal-Wallis chi-squared = 5.0153, df = 1, p-value = 0.03
##
##
## Comparison of x by group
## (Bonferroni)
## Col Mean-|
## Row Mean | Cancella
## ---------+-----------
## DNA | -2.239482
## | 0.0126*
##
## alpha = 0.05
## Reject Ho if p <= alpha/2bartlett.test(main_processed$daysDiff_attendanceBooked,main_processed$Record.Type)##
## Bartlett test of homogeneity of variances
##
## data: main_processed$daysDiff_attendanceBooked and main_processed$Record.Type
## Bartlett's K-squared = 2420, df = 2, p-value <2e-16kruskal.test(main_processed$daysDiff_attendanceBooked ~ main_processed$Record.Type, data=main_processed)##
## Kruskal-Wallis rank sum test
##
## data: main_processed$daysDiff_attendanceBooked by main_processed$Record.Type
## Kruskal-Wallis chi-squared = 3583, df = 2, p-value <2e-16dunn_result <- dunn.test(main_processed$daysDiff_attendanceBooked, g=main_processed$Record.Type, method="bonferroni")## Kruskal-Wallis rank sum test
##
## data: x and group
## Kruskal-Wallis chi-squared = 3583.4806, df = 2, p-value = 0
##
##
## Comparison of x by group
## (Bonferroni)
## Col Mean-|
## Row Mean | Attendan Cancella
## ---------+----------------------
## Cancella | 59.36667
## | 0.0000*
## |
## DNA | 18.95871 -23.30438
## | 0.0000* 0.0000*
##
## alpha = 0.05
## Reject Ho if p <= alpha/2## Record Type & Patient characteristics relevance
CrossTable(main_processed$Gender, main_processed$Record.Type, digits=2, fisher=F, chisq=TRUE, expected=TRUE)## Warning in chisq.test(t, correct = FALSE, ...): Chi-squared approximation may
## be incorrect##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 82543
##
##
## | main_processed$Record.Type
## main_processed$Gender | Attendance | Cancellation | DNA | Row Total |
## ----------------------|--------------|--------------|--------------|--------------|
## Female | 28325 | 9417 | 3739 | 41481 |
## | 28467.27 | 8592.90 | 4420.83 | |
## | 0.71 | 79.04 | 105.16 | |
## | 0.68 | 0.23 | 0.09 | 0.50 |
## | 0.50 | 0.55 | 0.43 | |
## | 0.34 | 0.11 | 0.05 | |
## ----------------------|--------------|--------------|--------------|--------------|
## Male | 28317 | 7682 | 5057 | 41056 |
## | 28175.61 | 8504.86 | 4375.53 | |
## | 0.71 | 79.61 | 106.13 | |
## | 0.69 | 0.19 | 0.12 | 0.50 |
## | 0.50 | 0.45 | 0.57 | |
## | 0.34 | 0.09 | 0.06 | |
## ----------------------|--------------|--------------|--------------|--------------|
## Unknown | 5 | 0 | 1 | 6 |
## | 4.12 | 1.24 | 0.64 | |
## | 0.19 | 1.24 | 0.20 | |
## | 0.83 | 0.00 | 0.17 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ----------------------|--------------|--------------|--------------|--------------|
## Column Total | 56647 | 17099 | 8797 | 82543 |
## | 0.69 | 0.21 | 0.11 | |
## ----------------------|--------------|--------------|--------------|--------------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 373 d.f. = 4 p = 1.9e-79
##
##
## CrossTable(main_processed$Age.at.Attendance.Cat.HSE, main_processed$Record.Type, digits=2, fisher=F, chisq=TRUE, expected=TRUE) #age group## Warning in chisq.test(t, correct = FALSE, ...): Chi-squared approximation may
## be incorrect##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 82543
##
##
## | main_processed$Record.Type
## main_processed$Age.at.Attendance.Cat.HSE | Attendance | Cancellation | DNA | Row Total |
## -----------------------------------------|--------------|--------------|--------------|--------------|
## 0 - 4 | 2 | 5 | 2 | 9 |
## | 6.18 | 1.86 | 0.96 | |
## | 2.82 | 5.27 | 1.13 | |
## | 0.22 | 0.56 | 0.22 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## -----------------------------------------|--------------|--------------|--------------|--------------|
## 05-Sep | 0 | 1 | 0 | 1 |
## | 0.69 | 0.21 | 0.11 | |
## | 0.69 | 3.03 | 0.11 | |
## | 0.00 | 1.00 | 0.00 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## -----------------------------------------|--------------|--------------|--------------|--------------|
## 15 - 24 | 6413 | 1457 | 1162 | 9032 |
## | 6198.41 | 1871.00 | 962.58 | |
## | 7.43 | 91.61 | 41.31 | |
## | 0.71 | 0.16 | 0.13 | 0.11 |
## | 0.11 | 0.09 | 0.13 | |
## | 0.08 | 0.02 | 0.01 | |
## -----------------------------------------|--------------|--------------|--------------|--------------|
## 25 - 34 | 8202 | 1824 | 1559 | 11585 |
## | 7950.47 | 2399.86 | 1234.67 | |
## | 7.96 | 138.18 | 85.20 | |
## | 0.71 | 0.16 | 0.13 | 0.14 |
## | 0.14 | 0.11 | 0.18 | |
## | 0.10 | 0.02 | 0.02 | |
## -----------------------------------------|--------------|--------------|--------------|--------------|
## 35 - 44 | 8527 | 2530 | 1554 | 12611 |
## | 8654.58 | 2612.40 | 1344.01 | |
## | 1.88 | 2.60 | 32.81 | |
## | 0.68 | 0.20 | 0.12 | 0.15 |
## | 0.15 | 0.15 | 0.18 | |
## | 0.10 | 0.03 | 0.02 | |
## -----------------------------------------|--------------|--------------|--------------|--------------|
## 45 - 54 | 9890 | 3109 | 1509 | 14508 |
## | 9956.44 | 3005.37 | 1546.19 | |
## | 0.44 | 3.57 | 0.89 | |
## | 0.68 | 0.21 | 0.10 | 0.18 |
## | 0.17 | 0.18 | 0.17 | |
## | 0.12 | 0.04 | 0.02 | |
## -----------------------------------------|--------------|--------------|--------------|--------------|
## 55 - 64 | 10402 | 3319 | 1227 | 14948 |
## | 10258.40 | 3096.52 | 1593.08 | |
## | 2.01 | 15.99 | 84.12 | |
## | 0.70 | 0.22 | 0.08 | 0.18 |
## | 0.18 | 0.19 | 0.14 | |
## | 0.13 | 0.04 | 0.01 | |
## -----------------------------------------|--------------|--------------|--------------|--------------|
## 65 - 74 | 8174 | 2825 | 914 | 11913 |
## | 8175.57 | 2467.81 | 1269.63 | |
## | 0.00 | 51.70 | 99.61 | |
## | 0.69 | 0.24 | 0.08 | 0.14 |
## | 0.14 | 0.17 | 0.10 | |
## | 0.10 | 0.03 | 0.01 | |
## -----------------------------------------|--------------|--------------|--------------|--------------|
## 75 - 84 | 4009 | 1584 | 643 | 6236 |
## | 4279.60 | 1291.80 | 664.60 | |
## | 17.11 | 66.09 | 0.70 | |
## | 0.64 | 0.25 | 0.10 | 0.08 |
## | 0.07 | 0.09 | 0.07 | |
## | 0.05 | 0.02 | 0.01 | |
## -----------------------------------------|--------------|--------------|--------------|--------------|
## 85 >= | 1015 | 444 | 227 | 1686 |
## | 1157.06 | 349.26 | 179.69 | |
## | 17.44 | 25.70 | 12.46 | |
## | 0.60 | 0.26 | 0.13 | 0.02 |
## | 0.02 | 0.03 | 0.03 | |
## | 0.01 | 0.01 | 0.00 | |
## -----------------------------------------|--------------|--------------|--------------|--------------|
## Oct-14 | 13 | 1 | 0 | 14 |
## | 9.61 | 2.90 | 1.49 | |
## | 1.20 | 1.24 | 1.49 | |
## | 0.93 | 0.07 | 0.00 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## -----------------------------------------|--------------|--------------|--------------|--------------|
## Column Total | 56647 | 17099 | 8797 | 82543 |
## | 0.69 | 0.21 | 0.11 | |
## -----------------------------------------|--------------|--------------|--------------|--------------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 824 d.f. = 20 p = 1.2e-161
##
##
## bartlett.test(main_processed$Age.at.Attendance,main_processed$Record.Type) # unequal variances##
## Bartlett test of homogeneity of variances
##
## data: main_processed$Age.at.Attendance and main_processed$Record.Type
## Bartlett's K-squared = 16, df = 2, p-value = 3e-04kruskal.test(main_processed$Age.at.Attendance ~ main_processed$Record.Type, data=main_processed)##
## Kruskal-Wallis rank sum test
##
## data: main_processed$Age.at.Attendance by main_processed$Record.Type
## Kruskal-Wallis chi-squared = 621, df = 2, p-value <2e-16dunn_result <- dunn.test(main_processed$Age.at.Attendance, g=main_processed$Record.Type, method="bonferroni") #run library(dunn.test) for this test## Kruskal-Wallis rank sum test
##
## data: x and group
## Kruskal-Wallis chi-squared = 621.0394, df = 2, p-value = 0
##
##
## Comparison of x by group
## (Bonferroni)
## Col Mean-|
## Row Mean | Attendan Cancella
## ---------+----------------------
## Cancella | -19.29601
## | 0.0000*
## |
## DNA | 12.11606 23.41437
## | 0.0000* 0.0000*
##
## alpha = 0.05
## Reject Ho if p <= alpha/2CrossTable(main_processed$Area.of.Residence_recode, main_processed$Record.Type, digits=2, fisher=F, chisq=TRUE, expected=TRUE)##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 82543
##
##
## | main_processed$Record.Type
## main_processed$Area.of.Residence_recode | Attendance | Cancellation | DNA | Row Total |
## ----------------------------------------|--------------|--------------|--------------|--------------|
## DUBLIN NTH | 37613 | 9639 | 5897 | 53149 |
## | 36474.70 | 11009.96 | 5664.34 | |
## | 35.52 | 170.71 | 9.56 | |
## | 0.71 | 0.18 | 0.11 | 0.64 |
## | 0.66 | 0.56 | 0.67 | |
## | 0.46 | 0.12 | 0.07 | |
## ----------------------------------------|--------------|--------------|--------------|--------------|
## DUBLIN STH | 7770 | 1894 | 1254 | 10918 |
## | 7492.72 | 2261.69 | 1163.58 | |
## | 10.26 | 59.78 | 7.03 | |
## | 0.71 | 0.17 | 0.11 | 0.13 |
## | 0.14 | 0.11 | 0.14 | |
## | 0.09 | 0.02 | 0.02 | |
## ----------------------------------------|--------------|--------------|--------------|--------------|
## EASTERN & MIDLAND REGION (excl.Dublin) | 7024 | 3086 | 981 | 11091 |
## | 7611.45 | 2297.53 | 1182.02 | |
## | 45.34 | 270.59 | 34.19 | |
## | 0.63 | 0.28 | 0.09 | 0.13 |
## | 0.12 | 0.18 | 0.11 | |
## | 0.09 | 0.04 | 0.01 | |
## ----------------------------------------|--------------|--------------|--------------|--------------|
## NORTHERN WESTERN REGION | 1689 | 1000 | 229 | 2918 |
## | 2002.54 | 604.47 | 310.99 | |
## | 49.09 | 258.81 | 21.61 | |
## | 0.58 | 0.34 | 0.08 | 0.04 |
## | 0.03 | 0.06 | 0.03 | |
## | 0.02 | 0.01 | 0.00 | |
## ----------------------------------------|--------------|--------------|--------------|--------------|
## OUTSIDE IRELAND | 93 | 24 | 20 | 137 |
## | 94.02 | 28.38 | 14.60 | |
## | 0.01 | 0.68 | 2.00 | |
## | 0.68 | 0.18 | 0.15 | 0.00 |
## | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.00 | |
## ----------------------------------------|--------------|--------------|--------------|--------------|
## SOUTHERN REGION | 2261 | 1373 | 365 | 3999 |
## | 2744.40 | 828.40 | 426.19 | |
## | 85.15 | 358.02 | 8.79 | |
## | 0.57 | 0.34 | 0.09 | 0.05 |
## | 0.04 | 0.08 | 0.04 | |
## | 0.03 | 0.02 | 0.00 | |
## ----------------------------------------|--------------|--------------|--------------|--------------|
## UNKNOWN | 197 | 83 | 51 | 331 |
## | 227.16 | 68.57 | 35.28 | |
## | 4.00 | 3.04 | 7.01 | |
## | 0.60 | 0.25 | 0.15 | 0.00 |
## | 0.00 | 0.00 | 0.01 | |
## | 0.00 | 0.00 | 0.00 | |
## ----------------------------------------|--------------|--------------|--------------|--------------|
## Column Total | 56647 | 17099 | 8797 | 82543 |
## | 0.69 | 0.21 | 0.11 | |
## ----------------------------------------|--------------|--------------|--------------|--------------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 1441 d.f. = 12 p = 1.8e-301
##
##
## CrossTable(main_processed$addressDiff, main_processed$Record.Type, digits=2, fisher=F, chisq=TRUE, expected=TRUE)##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 82543
##
##
## | main_processed$Record.Type
## main_processed$addressDiff | Attendance | Cancellation | DNA | Row Total |
## ---------------------------|--------------|--------------|--------------|--------------|
## 0 | 49341 | 14025 | 6754 | 70120 |
## | 48121.44 | 14525.54 | 7473.02 | |
## | 30.91 | 17.25 | 69.18 | |
## | 0.70 | 0.20 | 0.10 | 0.85 |
## | 0.87 | 0.82 | 0.77 | |
## | 0.60 | 0.17 | 0.08 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## 1 | 7306 | 3074 | 2043 | 12423 |
## | 8525.56 | 2573.46 | 1323.98 | |
## | 174.46 | 97.36 | 390.48 | |
## | 0.59 | 0.25 | 0.16 | 0.15 |
## | 0.13 | 0.18 | 0.23 | |
## | 0.09 | 0.04 | 0.02 | |
## ---------------------------|--------------|--------------|--------------|--------------|
## Column Total | 56647 | 17099 | 8797 | 82543 |
## | 0.69 | 0.21 | 0.11 | |
## ---------------------------|--------------|--------------|--------------|--------------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 780 d.f. = 2 p = 5.1e-170
##
##
## Cancellation & DNA correlation
- Clinic relevance: Consultant, Insurance scheme, Eligibility, Hospital catchment, Clinic type, Clinic code, Referral source, Booking Type
- Date relevance: booked Day, booked Month-Year, appointment Day, appointment Month-Year, daysDiff_AppointBooked, attendance Day, attendance Month-Year
- Patient relevance: Gender, Age at attendance, Area of residence, address difference
- Cancellation group: Reason for cancellation, Rebooked indicator
# cancellation (No.Cancels=1) & DNA (No.Cancels=0)
## clinic relevance
CrossTable(main_processed$Clinic.Type_recode, main_processed$No.Cancels, digits=2, fisher=F, chisq=TRUE, expected=TRUE)##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 25896
##
##
## | main_processed$No.Cancels
## main_processed$Clinic.Type_recode | 0 | 1 | Row Total |
## ----------------------------------|-----------|-----------|-----------|
## BACK_PAINrelated | 16 | 152 | 168 |
## | 57.07 | 110.93 | |
## | 29.56 | 15.21 | |
## | 0.10 | 0.90 | 0.01 |
## | 0.00 | 0.01 | |
## | 0.00 | 0.01 | |
## ----------------------------------|-----------|-----------|-----------|
## GENERAL | 6775 | 10696 | 17471 |
## | 5934.99 | 11536.01 | |
## | 118.89 | 61.17 | |
## | 0.39 | 0.61 | 0.67 |
## | 0.77 | 0.63 | |
## | 0.26 | 0.41 | |
## ----------------------------------|-----------|-----------|-----------|
## MUSCULOSKELETALrelated | 772 | 2014 | 2786 |
## | 946.42 | 1839.58 | |
## | 32.14 | 16.54 | |
## | 0.28 | 0.72 | 0.11 |
## | 0.09 | 0.12 | |
## | 0.03 | 0.08 | |
## ----------------------------------|-----------|-----------|-----------|
## NotLocatedInMater | 89 | 225 | 314 |
## | 106.67 | 207.33 | |
## | 2.93 | 1.51 | |
## | 0.28 | 0.72 | 0.01 |
## | 0.01 | 0.01 | |
## | 0.00 | 0.01 | |
## ----------------------------------|-----------|-----------|-----------|
## NTPFfund | 60 | 70 | 130 |
## | 44.16 | 85.84 | |
## | 5.68 | 2.92 | |
## | 0.46 | 0.54 | 0.01 |
## | 0.01 | 0.00 | |
## | 0.00 | 0.00 | |
## ----------------------------------|-----------|-----------|-----------|
## PODIATRY | 132 | 64 | 196 |
## | 66.58 | 129.42 | |
## | 64.27 | 33.07 | |
## | 0.67 | 0.33 | 0.01 |
## | 0.02 | 0.00 | |
## | 0.01 | 0.00 | |
## ----------------------------------|-----------|-----------|-----------|
## SPINErelated | 833 | 3566 | 4399 |
## | 1494.36 | 2904.64 | |
## | 292.70 | 150.59 | |
## | 0.19 | 0.81 | 0.17 |
## | 0.09 | 0.21 | |
## | 0.03 | 0.14 | |
## ----------------------------------|-----------|-----------|-----------|
## UPPER_LIMBrelated | 120 | 312 | 432 |
## | 146.75 | 285.25 | |
## | 4.88 | 2.51 | |
## | 0.28 | 0.72 | 0.02 |
## | 0.01 | 0.02 | |
## | 0.00 | 0.01 | |
## ----------------------------------|-----------|-----------|-----------|
## Column Total | 8797 | 17099 | 25896 |
## | 0.34 | 0.66 | |
## ----------------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 835 d.f. = 7 p = 6.5e-176
##
##
## CrossTable(main_processed$Clinic.Code, main_processed$No.Cancels, digits=2, fisher=F, chisq=TRUE, expected=TRUE)## Warning in chisq.test(t, correct = FALSE, ...): Chi-squared approximation may
## be incorrect##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 25896
##
##
## | main_processed$No.Cancels
## main_processed$Clinic.Code | 0 | 1 | Row Total |
## ---------------------------|-----------|-----------|-----------|
## 184 | 22 | 108 | 130 |
## | 44.16 | 85.84 | |
## | 11.12 | 5.72 | |
## | 0.17 | 0.83 | 0.01 |
## | 0.00 | 0.01 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 211 | 91 | 186 | 277 |
## | 94.10 | 182.90 | |
## | 0.10 | 0.05 | |
## | 0.33 | 0.67 | 0.01 |
## | 0.01 | 0.01 | |
## | 0.00 | 0.01 | |
## ---------------------------|-----------|-----------|-----------|
## 416 | 169 | 318 | 487 |
## | 165.44 | 321.56 | |
## | 0.08 | 0.04 | |
## | 0.35 | 0.65 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ---------------------------|-----------|-----------|-----------|
## 444 | 265 | 396 | 661 |
## | 224.54 | 436.46 | |
## | 7.29 | 3.75 | |
## | 0.40 | 0.60 | 0.03 |
## | 0.03 | 0.02 | |
## | 0.01 | 0.02 | |
## ---------------------------|-----------|-----------|-----------|
## 524 | 0 | 0 | 0 |
## | 0.00 | 0.00 | |
## | NaN | NaN | |
## | NaN | NaN | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 726 | 804 | 1155 | 1959 |
## | 665.48 | 1293.52 | |
## | 28.83 | 14.83 | |
## | 0.41 | 0.59 | 0.08 |
## | 0.09 | 0.07 | |
## | 0.03 | 0.04 | |
## ---------------------------|-----------|-----------|-----------|
## 741 | 0 | 1 | 1 |
## | 0.34 | 0.66 | |
## | 0.34 | 0.17 | |
## | 0.00 | 1.00 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 778 | 6 | 67 | 73 |
## | 24.80 | 48.20 | |
## | 14.25 | 7.33 | |
## | 0.08 | 0.92 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 784 | 9 | 18 | 27 |
## | 9.17 | 17.83 | |
## | 0.00 | 0.00 | |
## | 0.33 | 0.67 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 786 | 486 | 1697 | 2183 |
## | 741.58 | 1441.42 | |
## | 88.08 | 45.32 | |
## | 0.22 | 0.78 | 0.08 |
## | 0.06 | 0.10 | |
## | 0.02 | 0.07 | |
## ---------------------------|-----------|-----------|-----------|
## 791 | 0 | 1 | 1 |
## | 0.34 | 0.66 | |
## | 0.34 | 0.17 | |
## | 0.00 | 1.00 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 792 | 0 | 0 | 0 |
## | 0.00 | 0.00 | |
## | NaN | NaN | |
## | NaN | NaN | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 793 | 0 | 0 | 0 |
## | 0.00 | 0.00 | |
## | NaN | NaN | |
## | NaN | NaN | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 806 | 209 | 759 | 968 |
## | 328.83 | 639.17 | |
## | 43.67 | 22.47 | |
## | 0.22 | 0.78 | 0.04 |
## | 0.02 | 0.04 | |
## | 0.01 | 0.03 | |
## ---------------------------|-----------|-----------|-----------|
## 846 | 28 | 77 | 105 |
## | 35.67 | 69.33 | |
## | 1.65 | 0.85 | |
## | 0.27 | 0.73 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 847 | 9 | 201 | 210 |
## | 71.34 | 138.66 | |
## | 54.47 | 28.03 | |
## | 0.04 | 0.96 | 0.01 |
## | 0.00 | 0.01 | |
## | 0.00 | 0.01 | |
## ---------------------------|-----------|-----------|-----------|
## 849 | 309 | 1375 | 1684 |
## | 572.06 | 1111.94 | |
## | 120.97 | 62.24 | |
## | 0.18 | 0.82 | 0.07 |
## | 0.04 | 0.08 | |
## | 0.01 | 0.05 | |
## ---------------------------|-----------|-----------|-----------|
## 854 | 0 | 0 | 0 |
## | 0.00 | 0.00 | |
## | NaN | NaN | |
## | NaN | NaN | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 921 | 2 | 0 | 2 |
## | 0.68 | 1.32 | |
## | 2.57 | 1.32 | |
## | 1.00 | 0.00 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1031 | 1 | 4 | 5 |
## | 1.70 | 3.30 | |
## | 0.29 | 0.15 | |
## | 0.20 | 0.80 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1038 | 1306 | 1163 | 2469 |
## | 838.73 | 1630.27 | |
## | 260.32 | 133.93 | |
## | 0.53 | 0.47 | 0.10 |
## | 0.15 | 0.07 | |
## | 0.05 | 0.04 | |
## ---------------------------|-----------|-----------|-----------|
## 1059 | 760 | 1982 | 2742 |
## | 931.47 | 1810.53 | |
## | 31.57 | 16.24 | |
## | 0.28 | 0.72 | 0.11 |
## | 0.09 | 0.12 | |
## | 0.03 | 0.08 | |
## ---------------------------|-----------|-----------|-----------|
## 1065 | 276 | 827 | 1103 |
## | 374.69 | 728.31 | |
## | 26.00 | 13.37 | |
## | 0.25 | 0.75 | 0.04 |
## | 0.03 | 0.05 | |
## | 0.01 | 0.03 | |
## ---------------------------|-----------|-----------|-----------|
## 1095 | 132 | 64 | 196 |
## | 66.58 | 129.42 | |
## | 64.27 | 33.07 | |
## | 0.67 | 0.33 | 0.01 |
## | 0.02 | 0.00 | |
## | 0.01 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1114 | 119 | 673 | 792 |
## | 269.05 | 522.95 | |
## | 83.68 | 43.05 | |
## | 0.15 | 0.85 | 0.03 |
## | 0.01 | 0.04 | |
## | 0.00 | 0.03 | |
## ---------------------------|-----------|-----------|-----------|
## 1195 | 204 | 1269 | 1473 |
## | 500.39 | 972.61 | |
## | 175.55 | 90.32 | |
## | 0.14 | 0.86 | 0.06 |
## | 0.02 | 0.07 | |
## | 0.01 | 0.05 | |
## ---------------------------|-----------|-----------|-----------|
## 1197 | 60 | 66 | 126 |
## | 42.80 | 83.20 | |
## | 6.91 | 3.55 | |
## | 0.48 | 0.52 | 0.00 |
## | 0.01 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1198 | 0 | 56 | 56 |
## | 19.02 | 36.98 | |
## | 19.02 | 9.79 | |
## | 0.00 | 1.00 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1206 | 452 | 565 | 1017 |
## | 345.48 | 671.52 | |
## | 32.84 | 16.90 | |
## | 0.44 | 0.56 | 0.04 |
## | 0.05 | 0.03 | |
## | 0.02 | 0.02 | |
## ---------------------------|-----------|-----------|-----------|
## 1207 | 29 | 126 | 155 |
## | 52.65 | 102.35 | |
## | 10.63 | 5.47 | |
## | 0.19 | 0.81 | 0.01 |
## | 0.00 | 0.01 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1229 | 940 | 846 | 1786 |
## | 606.71 | 1179.29 | |
## | 183.09 | 94.19 | |
## | 0.53 | 0.47 | 0.07 |
## | 0.11 | 0.05 | |
## | 0.04 | 0.03 | |
## ---------------------------|-----------|-----------|-----------|
## 1236 | 0 | 4 | 4 |
## | 1.36 | 2.64 | |
## | 1.36 | 0.70 | |
## | 0.00 | 1.00 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1282 | 574 | 535 | 1109 |
## | 376.73 | 732.27 | |
## | 103.29 | 53.14 | |
## | 0.52 | 0.48 | 0.04 |
## | 0.07 | 0.03 | |
## | 0.02 | 0.02 | |
## ---------------------------|-----------|-----------|-----------|
## 1283 | 260 | 991 | 1251 |
## | 424.97 | 826.03 | |
## | 64.04 | 32.95 | |
## | 0.21 | 0.79 | 0.05 |
## | 0.03 | 0.06 | |
## | 0.01 | 0.04 | |
## ---------------------------|-----------|-----------|-----------|
## 1284 | 1 | 0 | 1 |
## | 0.34 | 0.66 | |
## | 1.28 | 0.66 | |
## | 1.00 | 0.00 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1341 | 457 | 497 | 954 |
## | 324.08 | 629.92 | |
## | 54.52 | 28.05 | |
## | 0.48 | 0.52 | 0.04 |
## | 0.05 | 0.03 | |
## | 0.02 | 0.02 | |
## ---------------------------|-----------|-----------|-----------|
## 1362 | 0 | 1 | 1 |
## | 0.34 | 0.66 | |
## | 0.34 | 0.17 | |
## | 0.00 | 1.00 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1363 | 11 | 30 | 41 |
## | 13.93 | 27.07 | |
## | 0.62 | 0.32 | |
## | 0.27 | 0.73 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1368 | 11 | 76 | 87 |
## | 29.55 | 57.45 | |
## | 11.65 | 5.99 | |
## | 0.13 | 0.87 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1369 | 237 | 270 | 507 |
## | 172.23 | 334.77 | |
## | 24.36 | 12.53 | |
## | 0.47 | 0.53 | 0.02 |
## | 0.03 | 0.02 | |
## | 0.01 | 0.01 | |
## ---------------------------|-----------|-----------|-----------|
## 1371 | 419 | 398 | 817 |
## | 277.54 | 539.46 | |
## | 72.10 | 37.09 | |
## | 0.51 | 0.49 | 0.03 |
## | 0.05 | 0.02 | |
## | 0.02 | 0.02 | |
## ---------------------------|-----------|-----------|-----------|
## 1383 | 32 | 121 | 153 |
## | 51.97 | 101.03 | |
## | 7.68 | 3.95 | |
## | 0.21 | 0.79 | 0.01 |
## | 0.00 | 0.01 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1405 | 40 | 94 | 134 |
## | 45.52 | 88.48 | |
## | 0.67 | 0.34 | |
## | 0.30 | 0.70 | 0.01 |
## | 0.00 | 0.01 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1448 | 23 | 38 | 61 |
## | 20.72 | 40.28 | |
## | 0.25 | 0.13 | |
## | 0.38 | 0.62 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1467 | 17 | 10 | 27 |
## | 9.17 | 17.83 | |
## | 6.68 | 3.44 | |
## | 0.63 | 0.37 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1471 | 6 | 11 | 17 |
## | 5.77 | 11.23 | |
## | 0.01 | 0.00 | |
## | 0.35 | 0.65 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1498 | 16 | 4 | 20 |
## | 6.79 | 13.21 | |
## | 12.47 | 6.42 | |
## | 0.80 | 0.20 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1505 | 5 | 19 | 24 |
## | 8.15 | 15.85 | |
## | 1.22 | 0.63 | |
## | 0.21 | 0.79 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## Column Total | 8797 | 17099 | 25896 |
## | 0.34 | 0.66 | |
## ---------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = NaN d.f. = 47 p = NaN
##
##
## CrossTable(main_processed$NurseFlag, main_processed$No.Cancels, digits=2, fisher=F, chisq=TRUE, expected=TRUE)##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 25896
##
##
## | main_processed$No.Cancels
## main_processed$NurseFlag | 0 | 1 | Row Total |
## -------------------------|-----------|-----------|-----------|
## N | 7904 | 15047 | 22951 |
## | 7796.57 | 15154.43 | |
## | 1.48 | 0.76 | |
## | 0.34 | 0.66 | 0.89 |
## | 0.90 | 0.88 | |
## | 0.31 | 0.58 | |
## -------------------------|-----------|-----------|-----------|
## Y | 893 | 2052 | 2945 |
## | 1000.43 | 1944.57 | |
## | 11.54 | 5.94 | |
## | 0.30 | 0.70 | 0.11 |
## | 0.10 | 0.12 | |
## | 0.03 | 0.08 | |
## -------------------------|-----------|-----------|-----------|
## Column Total | 8797 | 17099 | 25896 |
## | 0.34 | 0.66 | |
## -------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 20 d.f. = 1 p = 9e-06
##
## Pearson's Chi-squared test with Yates' continuity correction
## ------------------------------------------------------------
## Chi^2 = 20 d.f. = 1 p = 9.9e-06
##
## CrossTable(main_processed$Referral.Source_recode, main_processed$No.Cancels, digits=2, fisher=F, chisq=TRUE, expected=TRUE)##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 25896
##
##
## | main_processed$No.Cancels
## main_processed$Referral.Source_recode | 0 | 1 | Row Total |
## --------------------------------------|-----------|-----------|-----------|
## CLINIC | 3485 | 7042 | 10527 |
## | 3576.07 | 6950.93 | |
## | 2.32 | 1.19 | |
## | 0.33 | 0.67 | 0.41 |
## | 0.40 | 0.41 | |
## | 0.13 | 0.27 | |
## --------------------------------------|-----------|-----------|-----------|
## Elsew of Mater | 43 | 113 | 156 |
## | 52.99 | 103.01 | |
## | 1.88 | 0.97 | |
## | 0.28 | 0.72 | 0.01 |
## | 0.00 | 0.01 | |
## | 0.00 | 0.00 | |
## --------------------------------------|-----------|-----------|-----------|
## Elsew outside Mater | 628 | 1882 | 2510 |
## | 852.66 | 1657.34 | |
## | 59.19 | 30.45 | |
## | 0.25 | 0.75 | 0.10 |
## | 0.07 | 0.11 | |
## | 0.02 | 0.07 | |
## --------------------------------------|-----------|-----------|-----------|
## EMERGENCY DEPT | 1838 | 1523 | 3361 |
## | 1141.75 | 2219.25 | |
## | 424.58 | 218.44 | |
## | 0.55 | 0.45 | 0.13 |
## | 0.21 | 0.09 | |
## | 0.07 | 0.06 | |
## --------------------------------------|-----------|-----------|-----------|
## GP | 1705 | 4704 | 6409 |
## | 2177.17 | 4231.83 | |
## | 102.40 | 52.68 | |
## | 0.27 | 0.73 | 0.25 |
## | 0.19 | 0.28 | |
## | 0.07 | 0.18 | |
## --------------------------------------|-----------|-----------|-----------|
## OTHER CONSULTANT | 193 | 481 | 674 |
## | 228.96 | 445.04 | |
## | 5.65 | 2.91 | |
## | 0.29 | 0.71 | 0.03 |
## | 0.02 | 0.03 | |
## | 0.01 | 0.02 | |
## --------------------------------------|-----------|-----------|-----------|
## WARD | 905 | 1354 | 2259 |
## | 767.39 | 1491.61 | |
## | 24.68 | 12.69 | |
## | 0.40 | 0.60 | 0.09 |
## | 0.10 | 0.08 | |
## | 0.03 | 0.05 | |
## --------------------------------------|-----------|-----------|-----------|
## Column Total | 8797 | 17099 | 25896 |
## | 0.34 | 0.66 | |
## --------------------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 940 d.f. = 6 p = 8.3e-200
##
##
## # CrossTable(main_processed$Referring.Hospital, main_processed$No.Cancels, digits=2, fisher=F, chisq=TRUE, expected=TRUE)
CrossTable(main_processed$Consultant_recode, main_processed$No.Cancels, digits=2, fisher=F, chisq=TRUE, expected=TRUE)## Warning in chisq.test(t, correct = FALSE, ...): Chi-squared approximation may
## be incorrect##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 25896
##
##
## | main_processed$No.Cancels
## main_processed$Consultant_recode | 0 | 1 | Row Total |
## ---------------------------------|-----------|-----------|-----------|
## BRIAIN | 481 | 691 | 1172 |
## | 398.13 | 773.87 | |
## | 17.25 | 8.87 | |
## | 0.41 | 0.59 | 0.05 |
## | 0.05 | 0.04 | |
## | 0.02 | 0.03 | |
## ---------------------------------|-----------|-----------|-----------|
## BUTLER | 204 | 1269 | 1473 |
## | 500.39 | 972.61 | |
## | 175.55 | 90.32 | |
## | 0.14 | 0.86 | 0.06 |
## | 0.02 | 0.07 | |
## | 0.01 | 0.05 | |
## ---------------------------------|-----------|-----------|-----------|
## CARMOO | 0 | 0 | 0 |
## | 0.00 | 0.00 | |
## | NaN | NaN | |
## | NaN | NaN | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------------|-----------|-----------|-----------|
## CASHMA | 37 | 278 | 315 |
## | 107.01 | 207.99 | |
## | 45.80 | 23.56 | |
## | 0.12 | 0.88 | 0.01 |
## | 0.00 | 0.02 | |
## | 0.00 | 0.01 | |
## ---------------------------------|-----------|-----------|-----------|
## CASSID | 288 | 991 | 1279 |
## | 434.48 | 844.52 | |
## | 49.39 | 25.41 | |
## | 0.23 | 0.77 | 0.05 |
## | 0.03 | 0.06 | |
## | 0.01 | 0.04 | |
## ---------------------------------|-----------|-----------|-----------|
## COLGAN | 940 | 846 | 1786 |
## | 606.71 | 1179.29 | |
## | 183.09 | 94.19 | |
## | 0.53 | 0.47 | 0.07 |
## | 0.11 | 0.05 | |
## | 0.04 | 0.03 | |
## ---------------------------------|-----------|-----------|-----------|
## DODDSM | 277 | 831 | 1108 |
## | 376.39 | 731.61 | |
## | 26.25 | 13.50 | |
## | 0.25 | 0.75 | 0.04 |
## | 0.03 | 0.05 | |
## | 0.01 | 0.03 | |
## ---------------------------------|-----------|-----------|-----------|
## FRA | 0 | 0 | 0 |
## | 0.00 | 0.00 | |
## | NaN | NaN | |
## | NaN | NaN | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------------|-----------|-----------|-----------|
## HYNESD | 113 | 294 | 407 |
## | 138.26 | 268.74 | |
## | 4.61 | 2.37 | |
## | 0.28 | 0.72 | 0.02 |
## | 0.01 | 0.02 | |
## | 0.00 | 0.01 | |
## ---------------------------------|-----------|-----------|-----------|
## LYNCSA | 23 | 38 | 61 |
## | 20.72 | 40.28 | |
## | 0.25 | 0.13 | |
## | 0.38 | 0.62 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------------|-----------|-----------|-----------|
## LYONSF | 419 | 398 | 817 |
## | 277.54 | 539.46 | |
## | 72.10 | 37.09 | |
## | 0.51 | 0.49 | 0.03 |
## | 0.05 | 0.02 | |
## | 0.02 | 0.02 | |
## ---------------------------------|-----------|-----------|-----------|
## MARA | 457 | 497 | 954 |
## | 324.08 | 629.92 | |
## | 54.52 | 28.05 | |
## | 0.48 | 0.52 | 0.04 |
## | 0.05 | 0.03 | |
## | 0.02 | 0.02 | |
## ---------------------------------|-----------|-----------|-----------|
## MCSORK | 16 | 4 | 20 |
## | 6.79 | 13.21 | |
## | 12.47 | 6.42 | |
## | 0.80 | 0.20 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------------|-----------|-----------|-----------|
## MOROP | 936 | 1220 | 2156 |
## | 732.40 | 1423.60 | |
## | 56.60 | 29.12 | |
## | 0.43 | 0.57 | 0.08 |
## | 0.11 | 0.07 | |
## | 0.04 | 0.05 | |
## ---------------------------------|-----------|-----------|-----------|
## MORRI | 512 | 1725 | 2237 |
## | 759.92 | 1477.08 | |
## | 80.88 | 41.61 | |
## | 0.23 | 0.77 | 0.09 |
## | 0.06 | 0.10 | |
## | 0.02 | 0.07 | |
## ---------------------------------|-----------|-----------|-----------|
## MURMAR | 6 | 67 | 73 |
## | 24.80 | 48.20 | |
## | 14.25 | 7.33 | |
## | 0.08 | 0.92 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------------|-----------|-----------|-----------|
## OHEIRE | 846 | 1556 | 2402 |
## | 815.97 | 1586.03 | |
## | 1.11 | 0.57 | |
## | 0.35 | 0.65 | 0.09 |
## | 0.10 | 0.09 | |
## | 0.03 | 0.06 | |
## ---------------------------------|-----------|-----------|-----------|
## ONEISH | 243 | 281 | 524 |
## | 178.01 | 345.99 | |
## | 23.73 | 12.21 | |
## | 0.46 | 0.54 | 0.02 |
## | 0.03 | 0.02 | |
## | 0.01 | 0.01 | |
## ---------------------------------|-----------|-----------|-----------|
## ORTCON | 2 | 0 | 2 |
## | 0.68 | 1.32 | |
## | 2.57 | 1.32 | |
## | 1.00 | 0.00 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------------|-----------|-----------|-----------|
## SYNNOT | 474 | 1156 | 1630 |
## | 553.72 | 1076.28 | |
## | 11.48 | 5.90 | |
## | 0.29 | 0.71 | 0.06 |
## | 0.05 | 0.07 | |
## | 0.02 | 0.04 | |
## ---------------------------------|-----------|-----------|-----------|
## TIMLIN | 309 | 1432 | 1741 |
## | 591.43 | 1149.57 | |
## | 134.87 | 69.39 | |
## | 0.18 | 0.82 | 0.07 |
## | 0.04 | 0.08 | |
## | 0.01 | 0.06 | |
## ---------------------------------|-----------|-----------|-----------|
## XX | 2214 | 3525 | 5739 |
## | 1949.57 | 3789.43 | |
## | 35.87 | 18.45 | |
## | 0.39 | 0.61 | 0.22 |
## | 0.25 | 0.21 | |
## | 0.09 | 0.14 | |
## ---------------------------------|-----------|-----------|-----------|
## Column Total | 8797 | 17099 | 25896 |
## | 0.34 | 0.66 | |
## ---------------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = NaN d.f. = 21 p = NaN
##
##
## CrossTable(main_processed$Insurance.Scheme_recode, main_processed$No.Cancels, digits=2, fisher=F, chisq=TRUE, expected=TRUE)## Warning in chisq.test(t, correct = FALSE, ...): Chi-squared approximation may
## be incorrect##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 25896
##
##
## | main_processed$No.Cancels
## main_processed$Insurance.Scheme_recode | 0 | 1 | Row Total |
## ---------------------------------------|-----------|-----------|-----------|
## A | 19 | 34 | 53 |
## | 18.00 | 35.00 | |
## | 0.06 | 0.03 | |
## | 0.36 | 0.64 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------------------|-----------|-----------|-----------|
## B | 154 | 539 | 693 |
## | 235.42 | 457.58 | |
## | 28.16 | 14.49 | |
## | 0.22 | 0.78 | 0.03 |
## | 0.02 | 0.03 | |
## | 0.01 | 0.02 | |
## ---------------------------------------|-----------|-----------|-----------|
## C | 1 | 0 | 1 |
## | 0.34 | 0.66 | |
## | 1.28 | 0.66 | |
## | 1.00 | 0.00 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------------------|-----------|-----------|-----------|
## D | 4023 | 7210 | 11233 |
## | 3815.91 | 7417.09 | |
## | 11.24 | 5.78 | |
## | 0.36 | 0.64 | 0.43 |
## | 0.46 | 0.42 | |
## | 0.16 | 0.28 | |
## ---------------------------------------|-----------|-----------|-----------|
## E | 7 | 28 | 35 |
## | 11.89 | 23.11 | |
## | 2.01 | 1.03 | |
## | 0.20 | 0.80 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------------------|-----------|-----------|-----------|
## G | 27 | 64 | 91 |
## | 30.91 | 60.09 | |
## | 0.50 | 0.25 | |
## | 0.30 | 0.70 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------------------|-----------|-----------|-----------|
## H | 10 | 20 | 30 |
## | 10.19 | 19.81 | |
## | 0.00 | 0.00 | |
## | 0.33 | 0.67 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------------------|-----------|-----------|-----------|
## I | 137 | 424 | 561 |
## | 190.57 | 370.43 | |
## | 15.06 | 7.75 | |
## | 0.24 | 0.76 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.02 | |
## ---------------------------------------|-----------|-----------|-----------|
## J | 3 | 8 | 11 |
## | 3.74 | 7.26 | |
## | 0.15 | 0.07 | |
## | 0.27 | 0.73 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------------------|-----------|-----------|-----------|
## M | 1 | 0 | 1 |
## | 0.34 | 0.66 | |
## | 1.28 | 0.66 | |
## | 1.00 | 0.00 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------------------|-----------|-----------|-----------|
## O | 80 | 82 | 162 |
## | 55.03 | 106.97 | |
## | 11.33 | 5.83 | |
## | 0.49 | 0.51 | 0.01 |
## | 0.01 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------------------|-----------|-----------|-----------|
## P | 4 | 22 | 26 |
## | 8.83 | 17.17 | |
## | 2.64 | 1.36 | |
## | 0.15 | 0.85 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------------------|-----------|-----------|-----------|
## S | 73 | 191 | 264 |
## | 89.68 | 174.32 | |
## | 3.10 | 1.60 | |
## | 0.28 | 0.72 | 0.01 |
## | 0.01 | 0.01 | |
## | 0.00 | 0.01 | |
## ---------------------------------------|-----------|-----------|-----------|
## U | 3722 | 7096 | 10818 |
## | 3674.93 | 7143.07 | |
## | 0.60 | 0.31 | |
## | 0.34 | 0.66 | 0.42 |
## | 0.42 | 0.41 | |
## | 0.14 | 0.27 | |
## ---------------------------------------|-----------|-----------|-----------|
## V | 536 | 1381 | 1917 |
## | 651.21 | 1265.79 | |
## | 20.38 | 10.49 | |
## | 0.28 | 0.72 | 0.07 |
## | 0.06 | 0.08 | |
## | 0.02 | 0.05 | |
## ---------------------------------------|-----------|-----------|-----------|
## Column Total | 8797 | 17099 | 25896 |
## | 0.34 | 0.66 | |
## ---------------------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 148 d.f. = 14 p = 1.7e-24
##
##
## CrossTable(main_processed$Eligibility_recode, main_processed$No.Cancels, digits=2, fisher=F, chisq=TRUE, expected=TRUE)## Warning in chisq.test(t, correct = FALSE, ...): Chi-squared approximation may
## be incorrect##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 25896
##
##
## | main_processed$No.Cancels
## main_processed$Eligibility_recode | 0 | 1 | Row Total |
## ----------------------------------|-----------|-----------|-----------|
## 15000+ | 0 | 2 | 2 |
## | 0.68 | 1.32 | |
## | 0.68 | 0.35 | |
## | 0.00 | 1.00 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ----------------------------------|-----------|-----------|-----------|
## ACUTE UNCLASSIFIED | 107 | 163 | 270 |
## | 91.72 | 178.28 | |
## | 2.55 | 1.31 | |
## | 0.40 | 0.60 | 0.01 |
## | 0.01 | 0.01 | |
## | 0.00 | 0.01 | |
## ----------------------------------|-----------|-----------|-----------|
## ELIGIBILITY UNKNOWN | 490 | 863 | 1353 |
## | 459.62 | 893.38 | |
## | 2.01 | 1.03 | |
## | 0.36 | 0.64 | 0.05 |
## | 0.06 | 0.05 | |
## | 0.02 | 0.03 | |
## ----------------------------------|-----------|-----------|-----------|
## EXEMPT | 272 | 686 | 958 |
## | 325.44 | 632.56 | |
## | 8.77 | 4.51 | |
## | 0.28 | 0.72 | 0.04 |
## | 0.03 | 0.04 | |
## | 0.01 | 0.03 | |
## ----------------------------------|-----------|-----------|-----------|
## MEDICAL CARD | 4225 | 8438 | 12663 |
## | 4301.68 | 8361.32 | |
## | 1.37 | 0.70 | |
## | 0.33 | 0.67 | 0.49 |
## | 0.48 | 0.49 | |
## | 0.16 | 0.33 | |
## ----------------------------------|-----------|-----------|-----------|
## NON ACUTE UNCLASSIFIED | 3 | 9 | 12 |
## | 4.08 | 7.92 | |
## | 0.28 | 0.15 | |
## | 0.25 | 0.75 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ----------------------------------|-----------|-----------|-----------|
## NON MEDICAL CARD | 3688 | 6888 | 10576 |
## | 3592.72 | 6983.28 | |
## | 2.53 | 1.30 | |
## | 0.35 | 0.65 | 0.41 |
## | 0.42 | 0.40 | |
## | 0.14 | 0.27 | |
## ----------------------------------|-----------|-----------|-----------|
## RESEARCH/NATIONAL PROG. | 12 | 50 | 62 |
## | 21.06 | 40.94 | |
## | 3.90 | 2.01 | |
## | 0.19 | 0.81 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ----------------------------------|-----------|-----------|-----------|
## Column Total | 8797 | 17099 | 25896 |
## | 0.34 | 0.66 | |
## ----------------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 33 d.f. = 7 p = 2.2e-05
##
##
## CrossTable(main_processed$Booking.Type_recode, main_processed$No.Cancels, digits=2, fisher=F, chisq=TRUE, expected=TRUE)## Warning in chisq.test(t, correct = FALSE, ...): Chi-squared approximation may
## be incorrect##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 25896
##
##
## | main_processed$No.Cancels
## main_processed$Booking.Type_recode | 0 | 1 | Row Total |
## -----------------------------------|-----------|-----------|-----------|
## B : New Virtual Video | 77 | 86 | 163 |
## | 55.37 | 107.63 | |
## | 8.45 | 4.35 | |
## | 0.47 | 0.53 | 0.01 |
## | 0.01 | 0.01 | |
## | 0.00 | 0.00 | |
## -----------------------------------|-----------|-----------|-----------|
## C : New Virtual Phone | 77 | 202 | 279 |
## | 94.78 | 184.22 | |
## | 3.33 | 1.72 | |
## | 0.28 | 0.72 | 0.01 |
## | 0.01 | 0.01 | |
## | 0.00 | 0.01 | |
## -----------------------------------|-----------|-----------|-----------|
## D : Return Virtual Video | 0 | 0 | 0 |
## | 0.00 | 0.00 | |
## | NaN | NaN | |
## | NaN | NaN | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## -----------------------------------|-----------|-----------|-----------|
## E : Return Virtual Phone | 3 | 0 | 3 |
## | 1.02 | 1.98 | |
## | 3.85 | 1.98 | |
## | 1.00 | 0.00 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## -----------------------------------|-----------|-----------|-----------|
## NEW | 3351 | 6589 | 9940 |
## | 3376.67 | 6563.33 | |
## | 0.20 | 0.10 | |
## | 0.34 | 0.66 | 0.38 |
## | 0.38 | 0.39 | |
## | 0.13 | 0.25 | |
## -----------------------------------|-----------|-----------|-----------|
## RETURN | 4494 | 9125 | 13619 |
## | 4626.44 | 8992.56 | |
## | 3.79 | 1.95 | |
## | 0.33 | 0.67 | 0.53 |
## | 0.51 | 0.53 | |
## | 0.17 | 0.35 | |
## -----------------------------------|-----------|-----------|-----------|
## V : REVIEW | 0 | 1 | 1 |
## | 0.34 | 0.66 | |
## | 0.34 | 0.17 | |
## | 0.00 | 1.00 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## -----------------------------------|-----------|-----------|-----------|
## WARD | 795 | 1096 | 1891 |
## | 642.38 | 1248.62 | |
## | 36.26 | 18.65 | |
## | 0.42 | 0.58 | 0.07 |
## | 0.09 | 0.06 | |
## | 0.03 | 0.04 | |
## -----------------------------------|-----------|-----------|-----------|
## Column Total | 8797 | 17099 | 25896 |
## | 0.34 | 0.66 | |
## -----------------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = NaN d.f. = 7 p = NaN
##
##
## CrossTable(main_processed$Hospital.Catchment_recode, main_processed$No.Cancels, digits=2, fisher=F, chisq=TRUE, expected=TRUE)##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 25896
##
##
## | main_processed$No.Cancels
## main_processed$Hospital.Catchment_recode | 0 | 1 | Row Total |
## -----------------------------------------|-----------|-----------|-----------|
## Beaumont | 318 | 644 | 962 |
## | 326.80 | 635.20 | |
## | 0.24 | 0.12 | |
## | 0.33 | 0.67 | 0.04 |
## | 0.04 | 0.04 | |
## | 0.01 | 0.02 | |
## -----------------------------------------|-----------|-----------|-----------|
## Connolly | 413 | 961 | 1374 |
## | 466.75 | 907.25 | |
## | 6.19 | 3.18 | |
## | 0.30 | 0.70 | 0.05 |
## | 0.05 | 0.06 | |
## | 0.02 | 0.04 | |
## -----------------------------------------|-----------|-----------|-----------|
## International | 67 | 94 | 161 |
## | 54.69 | 106.31 | |
## | 2.77 | 1.42 | |
## | 0.42 | 0.58 | 0.01 |
## | 0.01 | 0.01 | |
## | 0.00 | 0.00 | |
## -----------------------------------------|-----------|-----------|-----------|
## James | 653 | 885 | 1538 |
## | 522.47 | 1015.53 | |
## | 32.61 | 16.78 | |
## | 0.42 | 0.58 | 0.06 |
## | 0.07 | 0.05 | |
## | 0.03 | 0.03 | |
## -----------------------------------------|-----------|-----------|-----------|
## Mater | 4634 | 6791 | 11425 |
## | 3881.13 | 7543.87 | |
## | 146.04 | 75.14 | |
## | 0.41 | 0.59 | 0.44 |
## | 0.53 | 0.40 | |
## | 0.18 | 0.26 | |
## -----------------------------------------|-----------|-----------|-----------|
## National | 2117 | 6726 | 8843 |
## | 3004.01 | 5838.99 | |
## | 261.91 | 134.75 | |
## | 0.24 | 0.76 | 0.34 |
## | 0.24 | 0.39 | |
## | 0.08 | 0.26 | |
## -----------------------------------------|-----------|-----------|-----------|
## Tallaght | 220 | 332 | 552 |
## | 187.52 | 364.48 | |
## | 5.63 | 2.89 | |
## | 0.40 | 0.60 | 0.02 |
## | 0.03 | 0.02 | |
## | 0.01 | 0.01 | |
## -----------------------------------------|-----------|-----------|-----------|
## Vincents | 375 | 666 | 1041 |
## | 353.63 | 687.37 | |
## | 1.29 | 0.66 | |
## | 0.36 | 0.64 | 0.04 |
## | 0.04 | 0.04 | |
## | 0.01 | 0.03 | |
## -----------------------------------------|-----------|-----------|-----------|
## Column Total | 8797 | 17099 | 25896 |
## | 0.34 | 0.66 | |
## -----------------------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 692 d.f. = 7 p = 4.4e-145
##
##
## ## date relevance
### difference between Booked and Appointment factors in Cancellation
CrossTable(main_processed$bookedDay, main_processed$No.Cancels, digits=2, fisher=F, chisq=TRUE, expected=TRUE)##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 25896
##
##
## | main_processed$No.Cancels
## main_processed$bookedDay | 0 | 1 | Row Total |
## -------------------------|-----------|-----------|-----------|
## Friday | 825 | 1624 | 2449 |
## | 831.94 | 1617.06 | |
## | 0.06 | 0.03 | |
## | 0.34 | 0.66 | 0.09 |
## | 0.09 | 0.09 | |
## | 0.03 | 0.06 | |
## -------------------------|-----------|-----------|-----------|
## Monday | 1843 | 3542 | 5385 |
## | 1829.31 | 3555.69 | |
## | 0.10 | 0.05 | |
## | 0.34 | 0.66 | 0.21 |
## | 0.21 | 0.21 | |
## | 0.07 | 0.14 | |
## -------------------------|-----------|-----------|-----------|
## Saturday | 935 | 1785 | 2720 |
## | 924.00 | 1796.00 | |
## | 0.13 | 0.07 | |
## | 0.34 | 0.66 | 0.11 |
## | 0.11 | 0.10 | |
## | 0.04 | 0.07 | |
## -------------------------|-----------|-----------|-----------|
## Sunday | 1403 | 2600 | 4003 |
## | 1359.84 | 2643.16 | |
## | 1.37 | 0.70 | |
## | 0.35 | 0.65 | 0.15 |
## | 0.16 | 0.15 | |
## | 0.05 | 0.10 | |
## -------------------------|-----------|-----------|-----------|
## Thursday | 821 | 1830 | 2651 |
## | 900.56 | 1750.44 | |
## | 7.03 | 3.62 | |
## | 0.31 | 0.69 | 0.10 |
## | 0.09 | 0.11 | |
## | 0.03 | 0.07 | |
## -------------------------|-----------|-----------|-----------|
## Tuesday | 1718 | 3259 | 4977 |
## | 1690.71 | 3286.29 | |
## | 0.44 | 0.23 | |
## | 0.35 | 0.65 | 0.19 |
## | 0.20 | 0.19 | |
## | 0.07 | 0.13 | |
## -------------------------|-----------|-----------|-----------|
## Wednesday | 1252 | 2459 | 3711 |
## | 1260.65 | 2450.35 | |
## | 0.06 | 0.03 | |
## | 0.34 | 0.66 | 0.14 |
## | 0.14 | 0.14 | |
## | 0.05 | 0.09 | |
## -------------------------|-----------|-----------|-----------|
## Column Total | 8797 | 17099 | 25896 |
## | 0.34 | 0.66 | |
## -------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 14 d.f. = 6 p = 0.031
##
##
## CrossTable(main_processed$bookedMonthYear, main_processed$No.Cancels, digits=2, fisher=F, chisq=TRUE, expected=TRUE)##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 25896
##
##
## | main_processed$No.Cancels
## main_processed$bookedMonthYear | 0 | 1 | Row Total |
## -------------------------------|-----------|-----------|-----------|
## Apr 2020 | 636 | 1064 | 1700 |
## | 577.50 | 1122.50 | |
## | 5.93 | 3.05 | |
## | 0.37 | 0.63 | 0.07 |
## | 0.07 | 0.06 | |
## | 0.02 | 0.04 | |
## -------------------------------|-----------|-----------|-----------|
## Aug 2020 | 811 | 1319 | 2130 |
## | 723.57 | 1406.43 | |
## | 10.56 | 5.43 | |
## | 0.38 | 0.62 | 0.08 |
## | 0.09 | 0.08 | |
## | 0.03 | 0.05 | |
## -------------------------------|-----------|-----------|-----------|
## Dec 2020 | 503 | 935 | 1438 |
## | 488.50 | 949.50 | |
## | 0.43 | 0.22 | |
## | 0.35 | 0.65 | 0.06 |
## | 0.06 | 0.05 | |
## | 0.02 | 0.04 | |
## -------------------------------|-----------|-----------|-----------|
## Feb 2020 | 767 | 1933 | 2700 |
## | 917.20 | 1782.80 | |
## | 24.60 | 12.65 | |
## | 0.28 | 0.72 | 0.10 |
## | 0.09 | 0.11 | |
## | 0.03 | 0.07 | |
## -------------------------------|-----------|-----------|-----------|
## Jan 2020 | 770 | 2291 | 3061 |
## | 1039.84 | 2021.16 | |
## | 70.02 | 36.02 | |
## | 0.25 | 0.75 | 0.12 |
## | 0.09 | 0.13 | |
## | 0.03 | 0.09 | |
## -------------------------------|-----------|-----------|-----------|
## Jul 2020 | 790 | 1368 | 2158 |
## | 733.08 | 1424.92 | |
## | 4.42 | 2.27 | |
## | 0.37 | 0.63 | 0.08 |
## | 0.09 | 0.08 | |
## | 0.03 | 0.05 | |
## -------------------------------|-----------|-----------|-----------|
## Jun 2020 | 735 | 1080 | 1815 |
## | 616.56 | 1198.44 | |
## | 22.75 | 11.70 | |
## | 0.40 | 0.60 | 0.07 |
## | 0.08 | 0.06 | |
## | 0.03 | 0.04 | |
## -------------------------------|-----------|-----------|-----------|
## Mar 2020 | 782 | 1788 | 2570 |
## | 873.04 | 1696.96 | |
## | 9.49 | 4.88 | |
## | 0.30 | 0.70 | 0.10 |
## | 0.09 | 0.10 | |
## | 0.03 | 0.07 | |
## -------------------------------|-----------|-----------|-----------|
## May 2020 | 782 | 1197 | 1979 |
## | 672.28 | 1306.72 | |
## | 17.91 | 9.21 | |
## | 0.40 | 0.60 | 0.08 |
## | 0.09 | 0.07 | |
## | 0.03 | 0.05 | |
## -------------------------------|-----------|-----------|-----------|
## Nov 2020 | 704 | 1306 | 2010 |
## | 682.81 | 1327.19 | |
## | 0.66 | 0.34 | |
## | 0.35 | 0.65 | 0.08 |
## | 0.08 | 0.08 | |
## | 0.03 | 0.05 | |
## -------------------------------|-----------|-----------|-----------|
## Oct 2020 | 712 | 1292 | 2004 |
## | 680.77 | 1323.23 | |
## | 1.43 | 0.74 | |
## | 0.36 | 0.64 | 0.08 |
## | 0.08 | 0.08 | |
## | 0.03 | 0.05 | |
## -------------------------------|-----------|-----------|-----------|
## Sep 2020 | 805 | 1526 | 2331 |
## | 791.85 | 1539.15 | |
## | 0.22 | 0.11 | |
## | 0.35 | 0.65 | 0.09 |
## | 0.09 | 0.09 | |
## | 0.03 | 0.06 | |
## -------------------------------|-----------|-----------|-----------|
## Column Total | 8797 | 17099 | 25896 |
## | 0.34 | 0.66 | |
## -------------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 255 d.f. = 11 p = 2.4e-48
##
##
## CrossTable(main_processed$appointmentDay, main_processed$No.Cancels, digits=2, fisher=F, chisq=TRUE, expected=TRUE)## Warning in chisq.test(t, correct = FALSE, ...): Chi-squared approximation may
## be incorrect##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 25896
##
##
## | main_processed$No.Cancels
## main_processed$appointmentDay | 0 | 1 | Row Total |
## ------------------------------|-----------|-----------|-----------|
## Friday | 1706 | 2215 | 3921 |
## | 1331.98 | 2589.02 | |
## | 105.02 | 54.03 | |
## | 0.44 | 0.56 | 0.15 |
## | 0.19 | 0.13 | |
## | 0.07 | 0.09 | |
## ------------------------------|-----------|-----------|-----------|
## Monday | 1772 | 3853 | 5625 |
## | 1910.84 | 3714.16 | |
## | 10.09 | 5.19 | |
## | 0.32 | 0.68 | 0.22 |
## | 0.20 | 0.23 | |
## | 0.07 | 0.15 | |
## ------------------------------|-----------|-----------|-----------|
## Sunday | 2 | 1 | 3 |
## | 1.02 | 1.98 | |
## | 0.94 | 0.49 | |
## | 0.67 | 0.33 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ------------------------------|-----------|-----------|-----------|
## Thursday | 1572 | 3756 | 5328 |
## | 1809.95 | 3518.05 | |
## | 31.28 | 16.09 | |
## | 0.30 | 0.70 | 0.21 |
## | 0.18 | 0.22 | |
## | 0.06 | 0.15 | |
## ------------------------------|-----------|-----------|-----------|
## Tuesday | 1863 | 2908 | 4771 |
## | 1620.73 | 3150.27 | |
## | 36.21 | 18.63 | |
## | 0.39 | 0.61 | 0.18 |
## | 0.21 | 0.17 | |
## | 0.07 | 0.11 | |
## ------------------------------|-----------|-----------|-----------|
## Wednesday | 1882 | 4366 | 6248 |
## | 2122.48 | 4125.52 | |
## | 27.25 | 14.02 | |
## | 0.30 | 0.70 | 0.24 |
## | 0.21 | 0.26 | |
## | 0.07 | 0.17 | |
## ------------------------------|-----------|-----------|-----------|
## Column Total | 8797 | 17099 | 25896 |
## | 0.34 | 0.66 | |
## ------------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 319 d.f. = 5 p = 7.3e-67
##
##
## CrossTable(main_processed$appointmentMonthYear, main_processed$No.Cancels, digits=2, fisher=F, chisq=TRUE, expected=TRUE)##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 25896
##
##
## | main_processed$No.Cancels
## main_processed$appointmentMonthYear | 0 | 1 | Row Total |
## ------------------------------------|-----------|-----------|-----------|
## Apr 2020 | 103 | 591 | 694 |
## | 235.76 | 458.24 | |
## | 74.76 | 38.46 | |
## | 0.15 | 0.85 | 0.03 |
## | 0.01 | 0.03 | |
## | 0.00 | 0.02 | |
## ------------------------------------|-----------|-----------|-----------|
## Apr 2021 | 166 | 296 | 462 |
## | 156.94 | 305.06 | |
## | 0.52 | 0.27 | |
## | 0.36 | 0.64 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Apr 2022 | 206 | 419 | 625 |
## | 212.32 | 412.68 | |
## | 0.19 | 0.10 | |
## | 0.33 | 0.67 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.02 | |
## ------------------------------------|-----------|-----------|-----------|
## Apr 2023 | 161 | 334 | 495 |
## | 168.15 | 326.85 | |
## | 0.30 | 0.16 | |
## | 0.33 | 0.67 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Aug 2020 | 127 | 324 | 451 |
## | 153.21 | 297.79 | |
## | 4.48 | 2.31 | |
## | 0.28 | 0.72 | 0.02 |
## | 0.01 | 0.02 | |
## | 0.00 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Aug 2021 | 254 | 292 | 546 |
## | 185.48 | 360.52 | |
## | 25.31 | 13.02 | |
## | 0.47 | 0.53 | 0.02 |
## | 0.03 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Aug 2022 | 188 | 432 | 620 |
## | 210.62 | 409.38 | |
## | 2.43 | 1.25 | |
## | 0.30 | 0.70 | 0.02 |
## | 0.02 | 0.03 | |
## | 0.01 | 0.02 | |
## ------------------------------------|-----------|-----------|-----------|
## Aug 2023 | 174 | 319 | 493 |
## | 167.47 | 325.53 | |
## | 0.25 | 0.13 | |
## | 0.35 | 0.65 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Dec 2020 | 188 | 251 | 439 |
## | 149.13 | 289.87 | |
## | 10.13 | 5.21 | |
## | 0.43 | 0.57 | 0.02 |
## | 0.02 | 0.01 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Dec 2021 | 205 | 371 | 576 |
## | 195.67 | 380.33 | |
## | 0.44 | 0.23 | |
## | 0.36 | 0.64 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Dec 2022 | 156 | 299 | 455 |
## | 154.57 | 300.43 | |
## | 0.01 | 0.01 | |
## | 0.34 | 0.66 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Dec 2023 | 143 | 298 | 441 |
## | 149.81 | 291.19 | |
## | 0.31 | 0.16 | |
## | 0.32 | 0.68 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Feb 2020 | 205 | 300 | 505 |
## | 171.55 | 333.45 | |
## | 6.52 | 3.36 | |
## | 0.41 | 0.59 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Feb 2021 | 94 | 419 | 513 |
## | 174.27 | 338.73 | |
## | 36.97 | 19.02 | |
## | 0.18 | 0.82 | 0.02 |
## | 0.01 | 0.02 | |
## | 0.00 | 0.02 | |
## ------------------------------------|-----------|-----------|-----------|
## Feb 2022 | 203 | 376 | 579 |
## | 196.69 | 382.31 | |
## | 0.20 | 0.10 | |
## | 0.35 | 0.65 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Feb 2023 | 151 | 278 | 429 |
## | 145.73 | 283.27 | |
## | 0.19 | 0.10 | |
## | 0.35 | 0.65 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Jan 2020 | 79 | 108 | 187 |
## | 63.52 | 123.48 | |
## | 3.77 | 1.94 | |
## | 0.42 | 0.58 | 0.01 |
## | 0.01 | 0.01 | |
## | 0.00 | 0.00 | |
## ------------------------------------|-----------|-----------|-----------|
## Jan 2021 | 159 | 545 | 704 |
## | 239.15 | 464.85 | |
## | 26.86 | 13.82 | |
## | 0.23 | 0.77 | 0.03 |
## | 0.02 | 0.03 | |
## | 0.01 | 0.02 | |
## ------------------------------------|-----------|-----------|-----------|
## Jan 2022 | 230 | 380 | 610 |
## | 207.22 | 402.78 | |
## | 2.50 | 1.29 | |
## | 0.38 | 0.62 | 0.02 |
## | 0.03 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Jan 2023 | 175 | 378 | 553 |
## | 187.86 | 365.14 | |
## | 0.88 | 0.45 | |
## | 0.32 | 0.68 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Jul 2020 | 99 | 275 | 374 |
## | 127.05 | 246.95 | |
## | 6.19 | 3.19 | |
## | 0.26 | 0.74 | 0.01 |
## | 0.01 | 0.02 | |
## | 0.00 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Jul 2021 | 264 | 302 | 566 |
## | 192.27 | 373.73 | |
## | 26.76 | 13.77 | |
## | 0.47 | 0.53 | 0.02 |
## | 0.03 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Jul 2022 | 279 | 326 | 605 |
## | 205.52 | 399.48 | |
## | 26.27 | 13.52 | |
## | 0.46 | 0.54 | 0.02 |
## | 0.03 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Jul 2023 | 165 | 315 | 480 |
## | 163.06 | 316.94 | |
## | 0.02 | 0.01 | |
## | 0.34 | 0.66 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Jun 2020 | 123 | 329 | 452 |
## | 153.55 | 298.45 | |
## | 6.08 | 3.13 | |
## | 0.27 | 0.73 | 0.02 |
## | 0.01 | 0.02 | |
## | 0.00 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Jun 2021 | 208 | 313 | 521 |
## | 176.99 | 344.01 | |
## | 5.43 | 2.80 | |
## | 0.40 | 0.60 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Jun 2022 | 233 | 377 | 610 |
## | 207.22 | 402.78 | |
## | 3.21 | 1.65 | |
## | 0.38 | 0.62 | 0.02 |
## | 0.03 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Jun 2023 | 118 | 314 | 432 |
## | 146.75 | 285.25 | |
## | 5.63 | 2.90 | |
## | 0.27 | 0.73 | 0.02 |
## | 0.01 | 0.02 | |
## | 0.00 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Mar 2020 | 247 | 735 | 982 |
## | 333.59 | 648.41 | |
## | 22.48 | 11.56 | |
## | 0.25 | 0.75 | 0.04 |
## | 0.03 | 0.04 | |
## | 0.01 | 0.03 | |
## ------------------------------------|-----------|-----------|-----------|
## Mar 2021 | 146 | 349 | 495 |
## | 168.15 | 326.85 | |
## | 2.92 | 1.50 | |
## | 0.29 | 0.71 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Mar 2022 | 220 | 476 | 696 |
## | 236.43 | 459.57 | |
## | 1.14 | 0.59 | |
## | 0.32 | 0.68 | 0.03 |
## | 0.03 | 0.03 | |
## | 0.01 | 0.02 | |
## ------------------------------------|-----------|-----------|-----------|
## Mar 2023 | 155 | 305 | 460 |
## | 156.26 | 303.74 | |
## | 0.01 | 0.01 | |
## | 0.34 | 0.66 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## May 2020 | 82 | 359 | 441 |
## | 149.81 | 291.19 | |
## | 30.69 | 15.79 | |
## | 0.19 | 0.81 | 0.02 |
## | 0.01 | 0.02 | |
## | 0.00 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## May 2021 | 193 | 334 | 527 |
## | 179.02 | 347.98 | |
## | 1.09 | 0.56 | |
## | 0.37 | 0.63 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## May 2022 | 260 | 418 | 678 |
## | 230.32 | 447.68 | |
## | 3.82 | 1.97 | |
## | 0.38 | 0.62 | 0.03 |
## | 0.03 | 0.02 | |
## | 0.01 | 0.02 | |
## ------------------------------------|-----------|-----------|-----------|
## May 2023 | 156 | 373 | 529 |
## | 179.70 | 349.30 | |
## | 3.13 | 1.61 | |
## | 0.29 | 0.71 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Nov 2020 | 141 | 315 | 456 |
## | 154.91 | 301.09 | |
## | 1.25 | 0.64 | |
## | 0.31 | 0.69 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Nov 2021 | 285 | 384 | 669 |
## | 227.26 | 441.74 | |
## | 14.67 | 7.55 | |
## | 0.43 | 0.57 | 0.03 |
## | 0.03 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Nov 2022 | 177 | 371 | 548 |
## | 186.16 | 361.84 | |
## | 0.45 | 0.23 | |
## | 0.32 | 0.68 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Nov 2023 | 173 | 349 | 522 |
## | 177.33 | 344.67 | |
## | 0.11 | 0.05 | |
## | 0.33 | 0.67 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Oct 2020 | 191 | 296 | 487 |
## | 165.44 | 321.56 | |
## | 3.95 | 2.03 | |
## | 0.39 | 0.61 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Oct 2021 | 232 | 325 | 557 |
## | 189.22 | 367.78 | |
## | 9.67 | 4.98 | |
## | 0.42 | 0.58 | 0.02 |
## | 0.03 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Oct 2022 | 178 | 327 | 505 |
## | 171.55 | 333.45 | |
## | 0.24 | 0.12 | |
## | 0.35 | 0.65 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Oct 2023 | 176 | 347 | 523 |
## | 177.67 | 345.33 | |
## | 0.02 | 0.01 | |
## | 0.34 | 0.66 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Sep 2020 | 213 | 427 | 640 |
## | 217.41 | 422.59 | |
## | 0.09 | 0.05 | |
## | 0.33 | 0.67 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.02 | |
## ------------------------------------|-----------|-----------|-----------|
## Sep 2021 | 293 | 330 | 623 |
## | 211.64 | 411.36 | |
## | 31.28 | 16.09 | |
## | 0.47 | 0.53 | 0.02 |
## | 0.03 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Sep 2022 | 245 | 402 | 647 |
## | 219.79 | 427.21 | |
## | 2.89 | 1.49 | |
## | 0.38 | 0.62 | 0.02 |
## | 0.03 | 0.02 | |
## | 0.01 | 0.02 | |
## ------------------------------------|-----------|-----------|-----------|
## Sep 2023 | 178 | 316 | 494 |
## | 167.81 | 326.19 | |
## | 0.62 | 0.32 | |
## | 0.36 | 0.64 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Column Total | 8797 | 17099 | 25896 |
## | 0.34 | 0.66 | |
## ------------------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 617 d.f. = 47 p = 2.5e-100
##
##
## CrossTable(main_processed$Rebooked.Indicator, main_processed$No.Cancels, digits=2, fisher=T, chisq=TRUE, expected=TRUE)## Warning in chisq.test(t, correct = FALSE, ...): Chi-squared approximation may
## be incorrect##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 25896
##
##
## | main_processed$No.Cancels
## main_processed$Rebooked.Indicator | 0 | 1 | Row Total |
## ----------------------------------|-----------|-----------|-----------|
## | 0 | 0 | 0 |
## | 0.00 | 0.00 | |
## | NaN | NaN | |
## | NaN | NaN | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ----------------------------------|-----------|-----------|-----------|
## No | 8797 | 7806 | 16603 |
## | 5640.12 | 10962.88 | |
## | 1766.96 | 909.06 | |
## | 0.53 | 0.47 | 0.64 |
## | 1.00 | 0.46 | |
## | 0.34 | 0.30 | |
## ----------------------------------|-----------|-----------|-----------|
## Yes | 0 | 9293 | 9293 |
## | 3156.88 | 6136.12 | |
## | 3156.88 | 1624.13 | |
## | 0.00 | 1.00 | 0.36 |
## | 0.00 | 0.54 | |
## | 0.00 | 0.36 | |
## ----------------------------------|-----------|-----------|-----------|
## Column Total | 8797 | 17099 | 25896 |
## | 0.34 | 0.66 | |
## ----------------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = NaN d.f. = 2 p = NaN
##
##
##
## Fisher's Exact Test for Count Data
## ------------------------------------------------------------
## Alternative hypothesis: two.sided
## p = 0
##
## leveneTest(daysDiff_AppointBooked ~ as.factor(No.Cancels), data=main_processed) #leveneTest is Ha## Levene's Test for Homogeneity of Variance (center = median)
## Df F value Pr(>F)
## group 1 60.8 6.6e-15 ***
## 25894
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1t.test(daysDiff_AppointBooked ~ No.Cancels, var.equal=F, data=main_processed)##
## Welch Two Sample t-test
##
## data: daysDiff_AppointBooked by No.Cancels
## t = -3, df = 18563, p-value = 0.001
## alternative hypothesis: true difference in means between group 0 and group 1 is not equal to 0
## 95 percent confidence interval:
## -26.8 -6.7
## sample estimates:
## mean in group 0 mean in group 1
## -568 -551## patient characteristics relevance
CrossTable(main_processed$Gender, main_processed$No.Cancels, digits=2, fisher=TRUE, chisq=TRUE, expected=TRUE)## Warning in chisq.test(t, correct = FALSE, ...): Chi-squared approximation may
## be incorrect##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 25896
##
##
## | main_processed$No.Cancels
## main_processed$Gender | 0 | 1 | Row Total |
## ----------------------|-----------|-----------|-----------|
## Female | 3739 | 9417 | 13156 |
## | 4469.16 | 8686.84 | |
## | 119.29 | 61.37 | |
## | 0.28 | 0.72 | 0.51 |
## | 0.43 | 0.55 | |
## | 0.14 | 0.36 | |
## ----------------------|-----------|-----------|-----------|
## Male | 5057 | 7682 | 12739 |
## | 4327.50 | 8411.50 | |
## | 122.97 | 63.27 | |
## | 0.40 | 0.60 | 0.49 |
## | 0.57 | 0.45 | |
## | 0.20 | 0.30 | |
## ----------------------|-----------|-----------|-----------|
## Unknown | 1 | 0 | 1 |
## | 0.34 | 0.66 | |
## | 1.28 | 0.66 | |
## | 1.00 | 0.00 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ----------------------|-----------|-----------|-----------|
## Column Total | 8797 | 17099 | 25896 |
## | 0.34 | 0.66 | |
## ----------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 369 d.f. = 2 p = 8e-81
##
##
##
## Fisher's Exact Test for Count Data
## ------------------------------------------------------------
## Alternative hypothesis: two.sided
## p = 4.1e-82
##
## CrossTable(main_processed$Age.at.Attendance.Cat.HSE, main_processed$No.Cancels, digits=2, fisher=F, chisq=TRUE, expected=TRUE) # age group## Warning in chisq.test(t, correct = FALSE, ...): Chi-squared approximation may
## be incorrect##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 25896
##
##
## | main_processed$No.Cancels
## main_processed$Age.at.Attendance.Cat.HSE | 0 | 1 | Row Total |
## -----------------------------------------|-----------|-----------|-----------|
## 0 - 4 | 2 | 5 | 7 |
## | 2.38 | 4.62 | |
## | 0.06 | 0.03 | |
## | 0.29 | 0.71 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## -----------------------------------------|-----------|-----------|-----------|
## 05-Sep | 0 | 1 | 1 |
## | 0.34 | 0.66 | |
## | 0.34 | 0.17 | |
## | 0.00 | 1.00 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## -----------------------------------------|-----------|-----------|-----------|
## 15 - 24 | 1162 | 1457 | 2619 |
## | 889.69 | 1729.31 | |
## | 83.35 | 42.88 | |
## | 0.44 | 0.56 | 0.10 |
## | 0.13 | 0.09 | |
## | 0.04 | 0.06 | |
## -----------------------------------------|-----------|-----------|-----------|
## 25 - 34 | 1559 | 1824 | 3383 |
## | 1149.22 | 2233.78 | |
## | 146.11 | 75.17 | |
## | 0.46 | 0.54 | 0.13 |
## | 0.18 | 0.11 | |
## | 0.06 | 0.07 | |
## -----------------------------------------|-----------|-----------|-----------|
## 35 - 44 | 1554 | 2530 | 4084 |
## | 1387.36 | 2696.64 | |
## | 20.02 | 10.30 | |
## | 0.38 | 0.62 | 0.16 |
## | 0.18 | 0.15 | |
## | 0.06 | 0.10 | |
## -----------------------------------------|-----------|-----------|-----------|
## 45 - 54 | 1509 | 3109 | 4618 |
## | 1568.76 | 3049.24 | |
## | 2.28 | 1.17 | |
## | 0.33 | 0.67 | 0.18 |
## | 0.17 | 0.18 | |
## | 0.06 | 0.12 | |
## -----------------------------------------|-----------|-----------|-----------|
## 55 - 64 | 1227 | 3319 | 4546 |
## | 1544.30 | 3001.70 | |
## | 65.19 | 33.54 | |
## | 0.27 | 0.73 | 0.18 |
## | 0.14 | 0.19 | |
## | 0.05 | 0.13 | |
## -----------------------------------------|-----------|-----------|-----------|
## 65 - 74 | 914 | 2825 | 3739 |
## | 1270.16 | 2468.84 | |
## | 99.87 | 51.38 | |
## | 0.24 | 0.76 | 0.14 |
## | 0.10 | 0.17 | |
## | 0.04 | 0.11 | |
## -----------------------------------------|-----------|-----------|-----------|
## 75 - 84 | 643 | 1584 | 2227 |
## | 756.52 | 1470.48 | |
## | 17.04 | 8.76 | |
## | 0.29 | 0.71 | 0.09 |
## | 0.07 | 0.09 | |
## | 0.02 | 0.06 | |
## -----------------------------------------|-----------|-----------|-----------|
## 85 >= | 227 | 444 | 671 |
## | 227.94 | 443.06 | |
## | 0.00 | 0.00 | |
## | 0.34 | 0.66 | 0.03 |
## | 0.03 | 0.03 | |
## | 0.01 | 0.02 | |
## -----------------------------------------|-----------|-----------|-----------|
## Oct-14 | 0 | 1 | 1 |
## | 0.34 | 0.66 | |
## | 0.34 | 0.17 | |
## | 0.00 | 1.00 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## -----------------------------------------|-----------|-----------|-----------|
## Column Total | 8797 | 17099 | 25896 |
## | 0.34 | 0.66 | |
## -----------------------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 658 d.f. = 10 p = 5.9e-135
##
##
## leveneTest(Age.at.Attendance ~ as.factor(No.Cancels), data=main_processed)## Levene's Test for Homogeneity of Variance (center = median)
## Df F value Pr(>F)
## group 1 22 2.7e-06 ***
## 25894
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1t.test(Age.at.Attendance ~ No.Cancels, var.equal=FALSE, data=main_processed) #leveneTest is Ha##
## Welch Two Sample t-test
##
## data: Age.at.Attendance by No.Cancels
## t = -22, df = 17195, p-value <2e-16
## alternative hypothesis: true difference in means between group 0 and group 1 is not equal to 0
## 95 percent confidence interval:
## -6 -5
## sample estimates:
## mean in group 0 mean in group 1
## 47 52CrossTable(main_processed$Area.of.Residence_recode, main_processed$No.Cancels, digits=2, fisher=F, chisq=TRUE, expected=TRUE) # remove Na or impute where no residence##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 25896
##
##
## | main_processed$No.Cancels
## main_processed$Area.of.Residence_recode | 0 | 1 | Row Total |
## ----------------------------------------|-----------|-----------|-----------|
## DUBLIN NTH | 5897 | 9639 | 15536 |
## | 5277.66 | 10258.34 | |
## | 72.68 | 37.39 | |
## | 0.38 | 0.62 | 0.60 |
## | 0.67 | 0.56 | |
## | 0.23 | 0.37 | |
## ----------------------------------------|-----------|-----------|-----------|
## DUBLIN STH | 1254 | 1894 | 3148 |
## | 1069.39 | 2078.61 | |
## | 31.87 | 16.40 | |
## | 0.40 | 0.60 | 0.12 |
## | 0.14 | 0.11 | |
## | 0.05 | 0.07 | |
## ----------------------------------------|-----------|-----------|-----------|
## EASTERN & MIDLAND REGION (excl.Dublin) | 981 | 3086 | 4067 |
## | 1381.58 | 2685.42 | |
## | 116.15 | 59.75 | |
## | 0.24 | 0.76 | 0.16 |
## | 0.11 | 0.18 | |
## | 0.04 | 0.12 | |
## ----------------------------------------|-----------|-----------|-----------|
## NORTHERN WESTERN REGION | 229 | 1000 | 1229 |
## | 417.50 | 811.50 | |
## | 85.11 | 43.78 | |
## | 0.19 | 0.81 | 0.05 |
## | 0.03 | 0.06 | |
## | 0.01 | 0.04 | |
## ----------------------------------------|-----------|-----------|-----------|
## OUTSIDE IRELAND | 20 | 24 | 44 |
## | 14.95 | 29.05 | |
## | 1.71 | 0.88 | |
## | 0.45 | 0.55 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ----------------------------------------|-----------|-----------|-----------|
## SOUTHERN REGION | 365 | 1373 | 1738 |
## | 590.41 | 1147.59 | |
## | 86.06 | 44.27 | |
## | 0.21 | 0.79 | 0.07 |
## | 0.04 | 0.08 | |
## | 0.01 | 0.05 | |
## ----------------------------------------|-----------|-----------|-----------|
## UNKNOWN | 51 | 83 | 134 |
## | 45.52 | 88.48 | |
## | 0.66 | 0.34 | |
## | 0.38 | 0.62 | 0.01 |
## | 0.01 | 0.00 | |
## | 0.00 | 0.00 | |
## ----------------------------------------|-----------|-----------|-----------|
## Column Total | 8797 | 17099 | 25896 |
## | 0.34 | 0.66 | |
## ----------------------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 597 d.f. = 6 p = 1e-125
##
##
## CrossTable(main_processed$addressDiff, main_processed$No.Cancels, digits=2, fisher=TRUE, chisq=TRUE, expected=TRUE)##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 25896
##
##
## | main_processed$No.Cancels
## main_processed$addressDiff | 0 | 1 | Row Total |
## ---------------------------|-----------|-----------|-----------|
## 0 | 6754 | 14025 | 20779 |
## | 7058.73 | 13720.27 | |
## | 13.16 | 6.77 | |
## | 0.33 | 0.67 | 0.80 |
## | 0.77 | 0.82 | |
## | 0.26 | 0.54 | |
## ---------------------------|-----------|-----------|-----------|
## 1 | 2043 | 3074 | 5117 |
## | 1738.27 | 3378.73 | |
## | 53.42 | 27.48 | |
## | 0.40 | 0.60 | 0.20 |
## | 0.23 | 0.18 | |
## | 0.08 | 0.12 | |
## ---------------------------|-----------|-----------|-----------|
## Column Total | 8797 | 17099 | 25896 |
## | 0.34 | 0.66 | |
## ---------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 101 d.f. = 1 p = 1e-23
##
## Pearson's Chi-squared test with Yates' continuity correction
## ------------------------------------------------------------
## Chi^2 = 100 d.f. = 1 p = 1.2e-23
##
##
## Fisher's Exact Test for Count Data
## ------------------------------------------------------------
## Sample estimate odds ratio: 0.72
##
## Alternative hypothesis: true odds ratio is not equal to 1
## p = 2.6e-23
## 95% confidence interval: 0.68 0.77
##
## Alternative hypothesis: true odds ratio is less than 1
## p = 1.5e-23
## 95% confidence interval: 0 0.76
##
## Alternative hypothesis: true odds ratio is greater than 1
## p = 1
## 95% confidence interval: 0.69 Inf
##
##
## CrossTable(main_processed$Reason.for.Cancellation_recode, main_processed$Cancellation.Group, digits=2, fisher=F, chisq=TRUE, expected=TRUE)##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 82543
##
##
## | main_processed$Cancellation.Group
## main_processed$Reason.for.Cancellation_recode | DNA | Hospital | N/A | Patient | Validation | Row Total |
## ----------------------------------------------|------------|------------|------------|------------|------------|------------|
## | 0 | 0 | 56647 | 0 | 0 | 56647 |
## | 6037.14 | 7040.47 | 38875.28 | 3922.73 | 771.37 | |
## | 6037.14 | 7040.47 | 8124.28 | 3922.73 | 771.37 | |
## | 0.00 | 0.00 | 1.00 | 0.00 | 0.00 | 0.69 |
## | 0.00 | 0.00 | 1.00 | 0.00 | 0.00 | |
## | 0.00 | 0.00 | 0.69 | 0.00 | 0.00 | |
## ----------------------------------------------|------------|------------|------------|------------|------------|------------|
## By Covid | 0 | 2019 | 0 | 672 | 0 | 2691 |
## | 286.79 | 334.46 | 1846.76 | 186.35 | 36.64 | |
## | 286.79 | 8484.50 | 1846.76 | 1265.68 | 36.64 | |
## | 0.00 | 0.75 | 0.00 | 0.25 | 0.00 | 0.03 |
## | 0.00 | 0.20 | 0.00 | 0.12 | 0.00 | |
## | 0.00 | 0.02 | 0.00 | 0.01 | 0.00 | |
## ----------------------------------------------|------------|------------|------------|------------|------------|------------|
## By Cslt/AN/Tech | 0 | 4393 | 0 | 0 | 0 | 4393 |
## | 468.18 | 545.99 | 3014.80 | 304.21 | 59.82 | |
## | 468.18 | 27105.68 | 3014.80 | 304.21 | 59.82 | |
## | 0.00 | 1.00 | 0.00 | 0.00 | 0.00 | 0.05 |
## | 0.00 | 0.43 | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.05 | 0.00 | 0.00 | 0.00 | |
## ----------------------------------------------|------------|------------|------------|------------|------------|------------|
## By Hospital | 0 | 3696 | 0 | 0 | 0 | 3696 |
## | 393.90 | 459.36 | 2536.46 | 255.94 | 50.33 | |
## | 393.90 | 22805.05 | 2536.46 | 255.94 | 50.33 | |
## | 0.00 | 1.00 | 0.00 | 0.00 | 0.00 | 0.04 |
## | 0.00 | 0.36 | 0.00 | 0.00 | 0.00 | |
## | 0.00 | 0.04 | 0.00 | 0.00 | 0.00 | |
## ----------------------------------------------|------------|------------|------------|------------|------------|------------|
## By Patient | 0 | 138 | 0 | 3764 | 1083 | 4985 |
## | 531.28 | 619.57 | 3421.07 | 345.21 | 67.88 | |
## | 531.28 | 374.31 | 3421.07 | 33858.60 | 15180.37 | |
## | 0.00 | 0.03 | 0.00 | 0.76 | 0.22 | 0.06 |
## | 0.00 | 0.01 | 0.00 | 0.66 | 0.96 | |
## | 0.00 | 0.00 | 0.00 | 0.05 | 0.01 | |
## ----------------------------------------------|------------|------------|------------|------------|------------|------------|
## By Patient-health conditions | 0 | 13 | 0 | 1280 | 41 | 1334 |
## | 142.17 | 165.80 | 915.49 | 92.38 | 18.17 | |
## | 142.17 | 140.82 | 915.49 | 15268.23 | 28.70 | |
## | 0.00 | 0.01 | 0.00 | 0.96 | 0.03 | 0.02 |
## | 0.00 | 0.00 | 0.00 | 0.22 | 0.04 | |
## | 0.00 | 0.00 | 0.00 | 0.02 | 0.00 | |
## ----------------------------------------------|------------|------------|------------|------------|------------|------------|
## No show | 8797 | 0 | 0 | 0 | 0 | 8797 |
## | 937.54 | 1093.35 | 6037.14 | 609.18 | 119.79 | |
## | 65886.54 | 1093.35 | 6037.14 | 609.18 | 119.79 | |
## | 1.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.11 |
## | 1.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
## | 0.11 | 0.00 | 0.00 | 0.00 | 0.00 | |
## ----------------------------------------------|------------|------------|------------|------------|------------|------------|
## Column Total | 8797 | 10259 | 56647 | 5716 | 1124 | 82543 |
## | 0.11 | 0.12 | 0.69 | 0.07 | 0.01 | |
## ----------------------------------------------|------------|------------|------------|------------|------------|------------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 238418 d.f. = 24 p = 0
##
##
## CrossTable(main_processed$Cancellation.Group, main_processed$Rebooked.Indicator, digits=2, fisher=F, chisq=TRUE, expected=TRUE)##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 82543
##
##
## | main_processed$Rebooked.Indicator
## main_processed$Cancellation.Group | | No | Yes | Row Total |
## ----------------------------------|-----------|-----------|-----------|-----------|
## DNA | 0 | 8797 | 0 | 8797 |
## | 6037.14 | 1769.46 | 990.40 | |
## | 6037.14 | 27910.37 | 990.40 | |
## | 0.00 | 1.00 | 0.00 | 0.11 |
## | 0.00 | 0.53 | 0.00 | |
## | 0.00 | 0.11 | 0.00 | |
## ----------------------------------|-----------|-----------|-----------|-----------|
## Hospital | 0 | 4291 | 5968 | 10259 |
## | 7040.47 | 2063.53 | 1155.00 | |
## | 7040.47 | 2404.43 | 20056.34 | |
## | 0.00 | 0.42 | 0.58 | 0.12 |
## | 0.00 | 0.26 | 0.64 | |
## | 0.00 | 0.05 | 0.07 | |
## ----------------------------------|-----------|-----------|-----------|-----------|
## N/A | 56647 | 0 | 0 | 56647 |
## | 38875.28 | 11394.18 | 6377.53 | |
## | 8124.28 | 11394.18 | 6377.53 | |
## | 1.00 | 0.00 | 0.00 | 0.69 |
## | 1.00 | 0.00 | 0.00 | |
## | 0.69 | 0.00 | 0.00 | |
## ----------------------------------|-----------|-----------|-----------|-----------|
## Patient | 0 | 3051 | 2665 | 5716 |
## | 3922.73 | 1149.74 | 643.53 | |
## | 3922.73 | 3144.02 | 6349.91 | |
## | 0.00 | 0.53 | 0.47 | 0.07 |
## | 0.00 | 0.18 | 0.29 | |
## | 0.00 | 0.04 | 0.03 | |
## ----------------------------------|-----------|-----------|-----------|-----------|
## Validation | 0 | 464 | 660 | 1124 |
## | 771.37 | 226.09 | 126.54 | |
## | 771.37 | 250.36 | 2248.82 | |
## | 0.00 | 0.41 | 0.59 | 0.01 |
## | 0.00 | 0.03 | 0.07 | |
## | 0.00 | 0.01 | 0.01 | |
## ----------------------------------|-----------|-----------|-----------|-----------|
## Column Total | 56647 | 16603 | 9293 | 82543 |
## | 0.69 | 0.20 | 0.11 | |
## ----------------------------------|-----------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 107022 d.f. = 8 p = 0
##
##
## CrossTable(main_processed$Reason.for.Cancellation_recode, main_processed$Rebooked.Indicator, digits=2, fisher=F, chisq=TRUE, expected=TRUE)##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 82543
##
##
## | main_processed$Rebooked.Indicator
## main_processed$Reason.for.Cancellation_recode | | No | Yes | Row Total |
## ----------------------------------------------|-----------|-----------|-----------|-----------|
## | 56647 | 0 | 0 | 56647 |
## | 38875.28 | 11394.18 | 6377.53 | |
## | 8124.28 | 11394.18 | 6377.53 | |
## | 1.00 | 0.00 | 0.00 | 0.69 |
## | 1.00 | 0.00 | 0.00 | |
## | 0.69 | 0.00 | 0.00 | |
## ----------------------------------------------|-----------|-----------|-----------|-----------|
## By Covid | 0 | 1268 | 1423 | 2691 |
## | 1846.76 | 541.28 | 302.96 | |
## | 1846.76 | 975.70 | 4140.72 | |
## | 0.00 | 0.47 | 0.53 | 0.03 |
## | 0.00 | 0.08 | 0.15 | |
## | 0.00 | 0.02 | 0.02 | |
## ----------------------------------------------|-----------|-----------|-----------|-----------|
## By Cslt/AN/Tech | 0 | 1480 | 2913 | 4393 |
## | 3014.80 | 883.62 | 494.58 | |
## | 3014.80 | 402.51 | 11825.69 | |
## | 0.00 | 0.34 | 0.66 | 0.05 |
## | 0.00 | 0.09 | 0.31 | |
## | 0.00 | 0.02 | 0.04 | |
## ----------------------------------------------|-----------|-----------|-----------|-----------|
## By Hospital | 0 | 1664 | 2032 | 3696 |
## | 2536.46 | 743.43 | 416.11 | |
## | 2536.46 | 1139.93 | 6275.04 | |
## | 0.00 | 0.45 | 0.55 | 0.04 |
## | 0.00 | 0.10 | 0.22 | |
## | 0.00 | 0.02 | 0.02 | |
## ----------------------------------------------|-----------|-----------|-----------|-----------|
## By Patient | 0 | 2679 | 2306 | 4985 |
## | 3421.07 | 1002.70 | 561.23 | |
## | 3421.07 | 2802.41 | 5424.20 | |
## | 0.00 | 0.54 | 0.46 | 0.06 |
## | 0.00 | 0.16 | 0.25 | |
## | 0.00 | 0.03 | 0.03 | |
## ----------------------------------------------|-----------|-----------|-----------|-----------|
## By Patient-health conditions | 0 | 715 | 619 | 1334 |
## | 915.49 | 268.33 | 150.19 | |
## | 915.49 | 743.57 | 1463.42 | |
## | 0.00 | 0.54 | 0.46 | 0.02 |
## | 0.00 | 0.04 | 0.07 | |
## | 0.00 | 0.01 | 0.01 | |
## ----------------------------------------------|-----------|-----------|-----------|-----------|
## No show | 0 | 8797 | 0 | 8797 |
## | 6037.14 | 1769.46 | 990.40 | |
## | 6037.14 | 27910.37 | 990.40 | |
## | 0.00 | 1.00 | 0.00 | 0.11 |
## | 0.00 | 0.53 | 0.00 | |
## | 0.00 | 0.11 | 0.00 | |
## ----------------------------------------------|-----------|-----------|-----------|-----------|
## Column Total | 56647 | 16603 | 9293 | 82543 |
## | 0.69 | 0.20 | 0.11 | |
## ----------------------------------------------|-----------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 107762 d.f. = 12 p = 0
##
##
## New Attendance correlation
- Clinic relevance: Consultant, Insurance scheme, Eligibility, Hospital catchment, Clinic type, Clinic code, Nurse flag, Referral source, Booking Type
- Date relevance: daysDiff_attendanceBooked daysDiff_AppointBooked
- Patient relevance: Gender, Age at attendance, Area of residence
- Cancellation group: Reason for cancellation, Rebooked indicator
## clinic relevance
CrossTable(main_processed$Clinic.Type_recode, main_processed$New.Attendances, digits=2, fisher=F, chisq=TRUE, expected=TRUE)##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 56647
##
##
## | main_processed$New.Attendances
## main_processed$Clinic.Type_recode | 0 | 1 | Row Total |
## ----------------------------------|-----------|-----------|-----------|
## BACK_PAINrelated | 3 | 185 | 188 |
## | 115.01 | 72.99 | |
## | 109.09 | 171.91 | |
## | 0.02 | 0.98 | 0.00 |
## | 0.00 | 0.01 | |
## | 0.00 | 0.00 | |
## ----------------------------------|-----------|-----------|-----------|
## GENERAL | 29091 | 15867 | 44958 |
## | 27504.01 | 17453.99 | |
## | 91.57 | 144.30 | |
## | 0.65 | 0.35 | 0.79 |
## | 0.84 | 0.72 | |
## | 0.51 | 0.28 | |
## ----------------------------------|-----------|-----------|-----------|
## MUSCULOSKELETALrelated | 347 | 3499 | 3846 |
## | 2352.87 | 1493.13 | |
## | 1710.05 | 2694.69 | |
## | 0.09 | 0.91 | 0.07 |
## | 0.01 | 0.16 | |
## | 0.01 | 0.06 | |
## ----------------------------------|-----------|-----------|-----------|
## NotLocatedInMater | 14 | 511 | 525 |
## | 321.18 | 203.82 | |
## | 293.79 | 462.95 | |
## | 0.03 | 0.97 | 0.01 |
## | 0.00 | 0.02 | |
## | 0.00 | 0.01 | |
## ----------------------------------|-----------|-----------|-----------|
## NTPFfund | 1 | 96 | 97 |
## | 59.34 | 37.66 | |
## | 57.36 | 90.39 | |
## | 0.01 | 0.99 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ----------------------------------|-----------|-----------|-----------|
## PODIATRY | 1288 | 24 | 1312 |
## | 802.64 | 509.36 | |
## | 293.49 | 462.49 | |
## | 0.98 | 0.02 | 0.02 |
## | 0.04 | 0.00 | |
## | 0.02 | 0.00 | |
## ----------------------------------|-----------|-----------|-----------|
## SPINErelated | 3585 | 1476 | 5061 |
## | 3096.17 | 1964.83 | |
## | 77.18 | 121.61 | |
## | 0.71 | 0.29 | 0.09 |
## | 0.10 | 0.07 | |
## | 0.06 | 0.03 | |
## ----------------------------------|-----------|-----------|-----------|
## UPPER_LIMBrelated | 326 | 334 | 660 |
## | 403.77 | 256.23 | |
## | 14.98 | 23.60 | |
## | 0.49 | 0.51 | 0.01 |
## | 0.01 | 0.02 | |
## | 0.01 | 0.01 | |
## ----------------------------------|-----------|-----------|-----------|
## Column Total | 34655 | 21992 | 56647 |
## | 0.61 | 0.39 | |
## ----------------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 6819 d.f. = 7 p = 0
##
##
## CrossTable(main_processed$Clinic.Code, main_processed$New.Attendances, digits=2, fisher=F, chisq=TRUE, expected=TRUE)## Warning in chisq.test(t, correct = FALSE, ...): Chi-squared approximation may
## be incorrect##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 56647
##
##
## | main_processed$New.Attendances
## main_processed$Clinic.Code | 0 | 1 | Row Total |
## ---------------------------|-----------|-----------|-----------|
## 184 | 124 | 43 | 167 |
## | 102.17 | 64.83 | |
## | 4.67 | 7.35 | |
## | 0.74 | 0.26 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 211 | 213 | 157 | 370 |
## | 226.36 | 143.64 | |
## | 0.79 | 1.24 | |
## | 0.58 | 0.42 | 0.01 |
## | 0.01 | 0.01 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 416 | 503 | 190 | 693 |
## | 423.96 | 269.04 | |
## | 14.74 | 23.22 | |
## | 0.73 | 0.27 | 0.01 |
## | 0.01 | 0.01 | |
## | 0.01 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 444 | 1738 | 327 | 2065 |
## | 1263.31 | 801.69 | |
## | 178.37 | 281.07 | |
## | 0.84 | 0.16 | 0.04 |
## | 0.05 | 0.01 | |
## | 0.03 | 0.01 | |
## ---------------------------|-----------|-----------|-----------|
## 524 | 19 | 83 | 102 |
## | 62.40 | 39.60 | |
## | 30.19 | 47.57 | |
## | 0.19 | 0.81 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 726 | 4159 | 907 | 5066 |
## | 3099.23 | 1966.77 | |
## | 362.38 | 571.04 | |
## | 0.82 | 0.18 | 0.09 |
## | 0.12 | 0.04 | |
## | 0.07 | 0.02 | |
## ---------------------------|-----------|-----------|-----------|
## 741 | 1 | 1 | 2 |
## | 1.22 | 0.78 | |
## | 0.04 | 0.06 | |
## | 0.50 | 0.50 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 778 | 95 | 24 | 119 |
## | 72.80 | 46.20 | |
## | 6.77 | 10.67 | |
## | 0.80 | 0.20 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 784 | 11 | 18 | 29 |
## | 17.74 | 11.26 | |
## | 2.56 | 4.04 | |
## | 0.38 | 0.62 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 786 | 1889 | 912 | 2801 |
## | 1713.57 | 1087.43 | |
## | 17.96 | 28.30 | |
## | 0.67 | 0.33 | 0.05 |
## | 0.05 | 0.04 | |
## | 0.03 | 0.02 | |
## ---------------------------|-----------|-----------|-----------|
## 791 | 0 | 1 | 1 |
## | 0.61 | 0.39 | |
## | 0.61 | 0.96 | |
## | 0.00 | 1.00 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 792 | 0 | 3 | 3 |
## | 1.84 | 1.16 | |
## | 1.84 | 2.89 | |
## | 0.00 | 1.00 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 793 | 1 | 0 | 1 |
## | 0.61 | 0.39 | |
## | 0.25 | 0.39 | |
## | 1.00 | 0.00 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 806 | 1226 | 475 | 1701 |
## | 1040.62 | 660.38 | |
## | 33.02 | 52.04 | |
## | 0.72 | 0.28 | 0.03 |
## | 0.04 | 0.02 | |
## | 0.02 | 0.01 | |
## ---------------------------|-----------|-----------|-----------|
## 846 | 136 | 120 | 256 |
## | 156.61 | 99.39 | |
## | 2.71 | 4.28 | |
## | 0.53 | 0.47 | 0.00 |
## | 0.00 | 0.01 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 847 | 42 | 55 | 97 |
## | 59.34 | 37.66 | |
## | 5.07 | 7.99 | |
## | 0.43 | 0.57 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 849 | 1392 | 309 | 1701 |
## | 1040.62 | 660.38 | |
## | 118.65 | 186.96 | |
## | 0.82 | 0.18 | 0.03 |
## | 0.04 | 0.01 | |
## | 0.02 | 0.01 | |
## ---------------------------|-----------|-----------|-----------|
## 854 | 0 | 6 | 6 |
## | 3.67 | 2.33 | |
## | 3.67 | 5.78 | |
## | 0.00 | 1.00 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 921 | 0 | 0 | 0 |
## | 0.00 | 0.00 | |
## | NaN | NaN | |
## | NaN | NaN | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1031 | 1 | 1 | 2 |
## | 1.22 | 0.78 | |
## | 0.04 | 0.06 | |
## | 0.50 | 0.50 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1038 | 375 | 9885 | 10260 |
## | 6276.77 | 3983.23 | |
## | 5549.18 | 8744.39 | |
## | 0.04 | 0.96 | 0.18 |
## | 0.01 | 0.45 | |
## | 0.01 | 0.17 | |
## ---------------------------|-----------|-----------|-----------|
## 1059 | 246 | 3486 | 3732 |
## | 2283.13 | 1448.87 | |
## | 1817.64 | 2864.23 | |
## | 0.07 | 0.93 | 0.07 |
## | 0.01 | 0.16 | |
## | 0.00 | 0.06 | |
## ---------------------------|-----------|-----------|-----------|
## 1065 | 874 | 481 | 1355 |
## | 828.95 | 526.05 | |
## | 2.45 | 3.86 | |
## | 0.65 | 0.35 | 0.02 |
## | 0.03 | 0.02 | |
## | 0.02 | 0.01 | |
## ---------------------------|-----------|-----------|-----------|
## 1095 | 1288 | 24 | 1312 |
## | 802.64 | 509.36 | |
## | 293.49 | 462.49 | |
## | 0.98 | 0.02 | 0.02 |
## | 0.04 | 0.00 | |
## | 0.02 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1114 | 341 | 97 | 438 |
## | 267.96 | 170.04 | |
## | 19.91 | 31.38 | |
## | 0.78 | 0.22 | 0.01 |
## | 0.01 | 0.00 | |
## | 0.01 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1195 | 1051 | 378 | 1429 |
## | 874.22 | 554.78 | |
## | 35.75 | 56.33 | |
## | 0.74 | 0.26 | 0.03 |
## | 0.03 | 0.02 | |
## | 0.02 | 0.01 | |
## ---------------------------|-----------|-----------|-----------|
## 1197 | 1 | 96 | 97 |
## | 59.34 | 37.66 | |
## | 57.36 | 90.39 | |
## | 0.01 | 0.99 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1198 | 1 | 20 | 21 |
## | 12.85 | 8.15 | |
## | 10.93 | 17.22 | |
## | 0.05 | 0.95 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1206 | 2445 | 551 | 2996 |
## | 1832.87 | 1163.13 | |
## | 204.44 | 322.15 | |
## | 0.82 | 0.18 | 0.05 |
## | 0.07 | 0.03 | |
## | 0.04 | 0.01 | |
## ---------------------------|-----------|-----------|-----------|
## 1207 | 94 | 94 | 188 |
## | 115.01 | 72.99 | |
## | 3.84 | 6.05 | |
## | 0.50 | 0.50 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1229 | 4733 | 651 | 5384 |
## | 3293.78 | 2090.22 | |
## | 628.87 | 990.98 | |
## | 0.88 | 0.12 | 0.10 |
## | 0.14 | 0.03 | |
## | 0.08 | 0.01 | |
## ---------------------------|-----------|-----------|-----------|
## 1236 | 0 | 0 | 0 |
## | 0.00 | 0.00 | |
## | NaN | NaN | |
## | NaN | NaN | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1282 | 3669 | 450 | 4119 |
## | 2519.89 | 1599.11 | |
## | 524.02 | 825.75 | |
## | 0.89 | 0.11 | 0.07 |
## | 0.11 | 0.02 | |
## | 0.06 | 0.01 | |
## ---------------------------|-----------|-----------|-----------|
## 1283 | 815 | 537 | 1352 |
## | 827.11 | 524.89 | |
## | 0.18 | 0.28 | |
## | 0.60 | 0.40 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ---------------------------|-----------|-----------|-----------|
## 1284 | 0 | 0 | 0 |
## | 0.00 | 0.00 | |
## | NaN | NaN | |
## | NaN | NaN | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1341 | 2855 | 305 | 3160 |
## | 1933.20 | 1226.80 | |
## | 439.54 | 692.63 | |
## | 0.90 | 0.10 | 0.06 |
## | 0.08 | 0.01 | |
## | 0.05 | 0.01 | |
## ---------------------------|-----------|-----------|-----------|
## 1362 | 0 | 0 | 0 |
## | 0.00 | 0.00 | |
## | NaN | NaN | |
## | NaN | NaN | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1363 | 99 | 2 | 101 |
## | 61.79 | 39.21 | |
## | 22.41 | 35.31 | |
## | 0.98 | 0.02 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1368 | 2 | 94 | 96 |
## | 58.73 | 37.27 | |
## | 54.80 | 86.35 | |
## | 0.02 | 0.98 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1369 | 1746 | 334 | 2080 |
## | 1272.48 | 807.52 | |
## | 176.20 | 277.66 | |
## | 0.84 | 0.16 | 0.04 |
## | 0.05 | 0.02 | |
## | 0.03 | 0.01 | |
## ---------------------------|-----------|-----------|-----------|
## 1371 | 2301 | 221 | 2522 |
## | 1542.89 | 979.11 | |
## | 372.51 | 587.00 | |
## | 0.91 | 0.09 | 0.04 |
## | 0.07 | 0.01 | |
## | 0.04 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1383 | 9 | 287 | 296 |
## | 181.08 | 114.92 | |
## | 163.53 | 257.69 | |
## | 0.03 | 0.97 | 0.01 |
## | 0.00 | 0.01 | |
## | 0.00 | 0.01 | |
## ---------------------------|-----------|-----------|-----------|
## 1405 | 5 | 205 | 210 |
## | 128.47 | 81.53 | |
## | 118.67 | 186.99 | |
## | 0.02 | 0.98 | 0.00 |
## | 0.00 | 0.01 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1448 | 93 | 45 | 138 |
## | 84.42 | 53.58 | |
## | 0.87 | 1.37 | |
## | 0.67 | 0.33 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1467 | 0 | 19 | 19 |
## | 11.62 | 7.38 | |
## | 11.62 | 18.32 | |
## | 0.00 | 1.00 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1471 | 1 | 24 | 25 |
## | 15.29 | 9.71 | |
## | 13.36 | 21.05 | |
## | 0.04 | 0.96 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1498 | 61 | 3 | 64 |
## | 39.15 | 24.85 | |
## | 12.19 | 19.21 | |
## | 0.95 | 0.05 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## 1505 | 0 | 71 | 71 |
## | 43.44 | 27.56 | |
## | 43.44 | 68.45 | |
## | 0.00 | 1.00 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------|-----------|-----------|-----------|
## Column Total | 34655 | 21992 | 56647 |
## | 0.61 | 0.39 | |
## ---------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = NaN d.f. = 47 p = NaN
##
##
## CrossTable(main_processed$NurseFlag, main_processed$New.Attendances, digits=2, fisher=F, chisq=TRUE, expected=TRUE)##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 56647
##
##
## | main_processed$New.Attendances
## main_processed$NurseFlag | 0 | 1 | Row Total |
## -------------------------|-----------|-----------|-----------|
## N | 33120 | 18474 | 51594 |
## | 31563.72 | 20030.28 | |
## | 76.73 | 120.92 | |
## | 0.64 | 0.36 | 0.91 |
## | 0.96 | 0.84 | |
## | 0.58 | 0.33 | |
## -------------------------|-----------|-----------|-----------|
## Y | 1535 | 3518 | 5053 |
## | 3091.28 | 1961.72 | |
## | 783.50 | 1234.63 | |
## | 0.30 | 0.70 | 0.09 |
## | 0.04 | 0.16 | |
## | 0.03 | 0.06 | |
## -------------------------|-----------|-----------|-----------|
## Column Total | 34655 | 21992 | 56647 |
## | 0.61 | 0.39 | |
## -------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 2216 d.f. = 1 p = 0
##
## Pearson's Chi-squared test with Yates' continuity correction
## ------------------------------------------------------------
## Chi^2 = 2214 d.f. = 1 p = 0
##
## CrossTable(main_processed$Referral.Source_recode, main_processed$New.Attendances, digits=2, fisher=F, chisq=TRUE, expected=TRUE)##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 56647
##
##
## | main_processed$New.Attendances
## main_processed$Referral.Source_recode | 0 | 1 | Row Total |
## --------------------------------------|-----------|-----------|-----------|
## CLINIC | 23200 | 1069 | 24269 |
## | 14847.07 | 9421.93 | |
## | 4699.34 | 7405.21 | |
## | 0.96 | 0.04 | 0.43 |
## | 0.67 | 0.05 | |
## | 0.41 | 0.02 | |
## --------------------------------------|-----------|-----------|-----------|
## Elsew of Mater | 271 | 1387 | 1658 |
## | 1014.32 | 643.68 | |
## | 544.72 | 858.37 | |
## | 0.16 | 0.84 | 0.03 |
## | 0.01 | 0.06 | |
## | 0.00 | 0.02 | |
## --------------------------------------|-----------|-----------|-----------|
## Elsew outside Mater | 3244 | 1768 | 5012 |
## | 3066.20 | 1945.80 | |
## | 10.31 | 16.25 | |
## | 0.65 | 0.35 | 0.09 |
## | 0.09 | 0.08 | |
## | 0.06 | 0.03 | |
## --------------------------------------|-----------|-----------|-----------|
## EMERGENCY DEPT | 2230 | 10534 | 12764 |
## | 7808.65 | 4955.35 | |
## | 3985.49 | 6280.34 | |
## | 0.17 | 0.83 | 0.23 |
## | 0.06 | 0.48 | |
## | 0.04 | 0.19 | |
## --------------------------------------|-----------|-----------|-----------|
## GP | 982 | 6405 | 7387 |
## | 4519.15 | 2867.85 | |
## | 2768.54 | 4362.67 | |
## | 0.13 | 0.87 | 0.13 |
## | 0.03 | 0.29 | |
## | 0.02 | 0.11 | |
## --------------------------------------|-----------|-----------|-----------|
## OTHER CONSULTANT | 374 | 617 | 991 |
## | 606.27 | 384.73 | |
## | 88.98 | 140.22 | |
## | 0.38 | 0.62 | 0.02 |
## | 0.01 | 0.03 | |
## | 0.01 | 0.01 | |
## --------------------------------------|-----------|-----------|-----------|
## WARD | 4354 | 212 | 4566 |
## | 2793.35 | 1772.65 | |
## | 871.94 | 1374.01 | |
## | 0.95 | 0.05 | 0.08 |
## | 0.13 | 0.01 | |
## | 0.08 | 0.00 | |
## --------------------------------------|-----------|-----------|-----------|
## Column Total | 34655 | 21992 | 56647 |
## | 0.61 | 0.39 | |
## --------------------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 33406 d.f. = 6 p = 0
##
##
## #CrossTable(main_processed$Referring.Hospital, main_processed$New.Attendances, digits=2, fisher=F, chisq=TRUE, expected=TRUE)
CrossTable(main_processed$Consultant_recode, main_processed$New.Attendances, digits=2, fisher=F, chisq=TRUE, expected=TRUE)## Warning in chisq.test(t, correct = FALSE, ...): Chi-squared approximation may
## be incorrect##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 56647
##
##
## | main_processed$New.Attendances
## main_processed$Consultant_recode | 0 | 1 | Row Total |
## ---------------------------------|-----------|-----------|-----------|
## BRIAIN | 2549 | 1119 | 3668 |
## | 2243.98 | 1424.02 | |
## | 41.46 | 65.34 | |
## | 0.69 | 0.31 | 0.06 |
## | 0.07 | 0.05 | |
## | 0.04 | 0.02 | |
## ---------------------------------|-----------|-----------|-----------|
## BUTLER | 1074 | 990 | 2064 |
## | 1262.70 | 801.30 | |
## | 28.20 | 44.44 | |
## | 0.52 | 0.48 | 0.04 |
## | 0.03 | 0.05 | |
## | 0.02 | 0.02 | |
## ---------------------------------|-----------|-----------|-----------|
## CARMOO | 0 | 1 | 1 |
## | 0.61 | 0.39 | |
## | 0.61 | 0.96 | |
## | 0.00 | 1.00 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------------|-----------|-----------|-----------|
## CASHMA | 188 | 334 | 522 |
## | 319.34 | 202.66 | |
## | 54.02 | 85.13 | |
## | 0.36 | 0.64 | 0.01 |
## | 0.01 | 0.02 | |
## | 0.00 | 0.01 | |
## ---------------------------------|-----------|-----------|-----------|
## CASSID | 897 | 1054 | 1951 |
## | 1193.57 | 757.43 | |
## | 73.69 | 116.12 | |
## | 0.46 | 0.54 | 0.03 |
## | 0.03 | 0.05 | |
## | 0.02 | 0.02 | |
## ---------------------------------|-----------|-----------|-----------|
## COLGAN | 4823 | 2248 | 7071 |
## | 4325.83 | 2745.17 | |
## | 57.14 | 90.04 | |
## | 0.68 | 0.32 | 0.12 |
## | 0.14 | 0.10 | |
## | 0.09 | 0.04 | |
## ---------------------------------|-----------|-----------|-----------|
## DODDSM | 875 | 484 | 1359 |
## | 831.40 | 527.60 | |
## | 2.29 | 3.60 | |
## | 0.64 | 0.36 | 0.02 |
## | 0.03 | 0.02 | |
## | 0.02 | 0.01 | |
## ---------------------------------|-----------|-----------|-----------|
## FRA | 0 | 1 | 1 |
## | 0.61 | 0.39 | |
## | 0.61 | 0.96 | |
## | 0.00 | 1.00 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------------|-----------|-----------|-----------|
## HYNESD | 360 | 381 | 741 |
## | 453.32 | 287.68 | |
## | 19.21 | 30.27 | |
## | 0.49 | 0.51 | 0.01 |
## | 0.01 | 0.02 | |
## | 0.01 | 0.01 | |
## ---------------------------------|-----------|-----------|-----------|
## LYNCSA | 93 | 46 | 139 |
## | 85.04 | 53.96 | |
## | 0.75 | 1.18 | |
## | 0.67 | 0.33 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------------|-----------|-----------|-----------|
## LYONSF | 2419 | 1968 | 4387 |
## | 2683.84 | 1703.16 | |
## | 26.13 | 41.18 | |
## | 0.55 | 0.45 | 0.08 |
## | 0.07 | 0.09 | |
## | 0.04 | 0.03 | |
## ---------------------------------|-----------|-----------|-----------|
## MARA | 2868 | 973 | 3841 |
## | 2349.81 | 1491.19 | |
## | 114.27 | 180.07 | |
## | 0.75 | 0.25 | 0.07 |
## | 0.08 | 0.04 | |
## | 0.05 | 0.02 | |
## ---------------------------------|-----------|-----------|-----------|
## MCSORK | 61 | 89 | 150 |
## | 91.77 | 58.23 | |
## | 10.31 | 16.25 | |
## | 0.41 | 0.59 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------------|-----------|-----------|-----------|
## MOROP | 5515 | 2539 | 8054 |
## | 4927.20 | 3126.80 | |
## | 70.12 | 110.50 | |
## | 0.68 | 0.32 | 0.14 |
## | 0.16 | 0.12 | |
## | 0.10 | 0.04 | |
## ---------------------------------|-----------|-----------|-----------|
## MORRI | 1937 | 1551 | 3488 |
## | 2133.86 | 1354.14 | |
## | 18.16 | 28.62 | |
## | 0.56 | 0.44 | 0.06 |
## | 0.06 | 0.07 | |
## | 0.03 | 0.03 | |
## ---------------------------------|-----------|-----------|-----------|
## MURMAR | 96 | 61 | 157 |
## | 96.05 | 60.95 | |
## | 0.00 | 0.00 | |
## | 0.61 | 0.39 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------------|-----------|-----------|-----------|
## OHEIRE | 4692 | 3819 | 8511 |
## | 5206.78 | 3304.22 | |
## | 50.90 | 80.20 | |
## | 0.55 | 0.45 | 0.15 |
## | 0.14 | 0.17 | |
## | 0.08 | 0.07 | |
## ---------------------------------|-----------|-----------|-----------|
## ONEISH | 1758 | 1365 | 3123 |
## | 1910.56 | 1212.44 | |
## | 12.18 | 19.20 | |
## | 0.56 | 0.44 | 0.06 |
## | 0.05 | 0.06 | |
## | 0.03 | 0.02 | |
## ---------------------------------|-----------|-----------|-----------|
## ORTCON | 0 | 1 | 1 |
## | 0.61 | 0.39 | |
## | 0.61 | 0.96 | |
## | 0.00 | 1.00 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------------|-----------|-----------|-----------|
## SYNNOT | 2986 | 1676 | 4662 |
## | 2852.08 | 1809.92 | |
## | 6.29 | 9.91 | |
## | 0.64 | 0.36 | 0.08 |
## | 0.09 | 0.08 | |
## | 0.05 | 0.03 | |
## ---------------------------------|-----------|-----------|-----------|
## TIMLIN | 1464 | 1292 | 2756 |
## | 1686.04 | 1069.96 | |
## | 29.24 | 46.08 | |
## | 0.53 | 0.47 | 0.05 |
## | 0.04 | 0.06 | |
## | 0.03 | 0.02 | |
## ---------------------------------|-----------|-----------|-----------|
## XX | 0 | 0 | 0 |
## | 0.00 | 0.00 | |
## | NaN | NaN | |
## | NaN | NaN | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------------|-----------|-----------|-----------|
## Column Total | 34655 | 21992 | 56647 |
## | 0.61 | 0.39 | |
## ---------------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = NaN d.f. = 21 p = NaN
##
##
## CrossTable(main_processed$Insurance.Scheme_recode, main_processed$New.Attendances, digits=2, fisher=F, chisq=TRUE, expected=TRUE)## Warning in chisq.test(t, correct = FALSE, ...): Chi-squared approximation may
## be incorrect##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 56647
##
##
## | main_processed$New.Attendances
## main_processed$Insurance.Scheme_recode | 0 | 1 | Row Total |
## ---------------------------------------|-----------|-----------|-----------|
## A | 85 | 52 | 137 |
## | 83.81 | 53.19 | |
## | 0.02 | 0.03 | |
## | 0.62 | 0.38 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------------------|-----------|-----------|-----------|
## B | 1280 | 500 | 1780 |
## | 1088.95 | 691.05 | |
## | 33.52 | 52.82 | |
## | 0.72 | 0.28 | 0.03 |
## | 0.04 | 0.02 | |
## | 0.02 | 0.01 | |
## ---------------------------------------|-----------|-----------|-----------|
## C | 2 | 4 | 6 |
## | 3.67 | 2.33 | |
## | 0.76 | 1.20 | |
## | 0.33 | 0.67 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------------------|-----------|-----------|-----------|
## D | 14038 | 7358 | 21396 |
## | 13089.46 | 8306.54 | |
## | 68.74 | 108.32 | |
## | 0.66 | 0.34 | 0.38 |
## | 0.41 | 0.33 | |
## | 0.25 | 0.13 | |
## ---------------------------------------|-----------|-----------|-----------|
## E | 52 | 31 | 83 |
## | 50.78 | 32.22 | |
## | 0.03 | 0.05 | |
## | 0.63 | 0.37 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------------------|-----------|-----------|-----------|
## G | 216 | 120 | 336 |
## | 205.56 | 130.44 | |
## | 0.53 | 0.84 | |
## | 0.64 | 0.36 | 0.01 |
## | 0.01 | 0.01 | |
## | 0.00 | 0.00 | |
## ---------------------------------------|-----------|-----------|-----------|
## H | 48 | 22 | 70 |
## | 42.82 | 27.18 | |
## | 0.63 | 0.99 | |
## | 0.69 | 0.31 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------------------|-----------|-----------|-----------|
## I | 1103 | 459 | 1562 |
## | 955.59 | 606.41 | |
## | 22.74 | 35.83 | |
## | 0.71 | 0.29 | 0.03 |
## | 0.03 | 0.02 | |
## | 0.02 | 0.01 | |
## ---------------------------------------|-----------|-----------|-----------|
## J | 32 | 10 | 42 |
## | 25.69 | 16.31 | |
## | 1.55 | 2.44 | |
## | 0.76 | 0.24 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------------------|-----------|-----------|-----------|
## M | 2 | 3 | 5 |
## | 3.06 | 1.94 | |
## | 0.37 | 0.58 | |
## | 0.40 | 0.60 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------------------|-----------|-----------|-----------|
## O | 191 | 177 | 368 |
## | 225.13 | 142.87 | |
## | 5.17 | 8.15 | |
## | 0.52 | 0.48 | 0.01 |
## | 0.01 | 0.01 | |
## | 0.00 | 0.00 | |
## ---------------------------------------|-----------|-----------|-----------|
## P | 68 | 36 | 104 |
## | 63.62 | 40.38 | |
## | 0.30 | 0.47 | |
## | 0.65 | 0.35 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ---------------------------------------|-----------|-----------|-----------|
## S | 605 | 276 | 881 |
## | 538.97 | 342.03 | |
## | 8.09 | 12.75 | |
## | 0.69 | 0.31 | 0.02 |
## | 0.02 | 0.01 | |
## | 0.01 | 0.00 | |
## ---------------------------------------|-----------|-----------|-----------|
## U | 13418 | 11320 | 24738 |
## | 15133.99 | 9604.01 | |
## | 194.57 | 306.61 | |
## | 0.54 | 0.46 | 0.44 |
## | 0.39 | 0.51 | |
## | 0.24 | 0.20 | |
## ---------------------------------------|-----------|-----------|-----------|
## V | 3515 | 1624 | 5139 |
## | 3143.89 | 1995.11 | |
## | 43.81 | 69.03 | |
## | 0.68 | 0.32 | 0.09 |
## | 0.10 | 0.07 | |
## | 0.06 | 0.03 | |
## ---------------------------------------|-----------|-----------|-----------|
## Column Total | 34655 | 21992 | 56647 |
## | 0.61 | 0.39 | |
## ---------------------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 981 d.f. = 14 p = 2e-200
##
##
## CrossTable(main_processed$Eligibility_recode, main_processed$New.Attendances, digits=2, fisher=F, chisq=TRUE, expected=TRUE)## Warning in chisq.test(t, correct = FALSE, ...): Chi-squared approximation may
## be incorrect##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 56647
##
##
## | main_processed$New.Attendances
## main_processed$Eligibility_recode | 0 | 1 | Row Total |
## ----------------------------------|-----------|-----------|-----------|
## 15000+ | 0 | 0 | 0 |
## | 0.00 | 0.00 | |
## | NaN | NaN | |
## | NaN | NaN | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ----------------------------------|-----------|-----------|-----------|
## ACUTE UNCLASSIFIED | 398 | 162 | 560 |
## | 342.59 | 217.41 | |
## | 8.96 | 14.12 | |
## | 0.71 | 0.29 | 0.01 |
## | 0.01 | 0.01 | |
## | 0.01 | 0.00 | |
## ----------------------------------|-----------|-----------|-----------|
## ELIGIBILITY UNKNOWN | 144 | 444 | 588 |
## | 359.72 | 228.28 | |
## | 129.37 | 203.86 | |
## | 0.24 | 0.76 | 0.01 |
## | 0.00 | 0.02 | |
## | 0.00 | 0.01 | |
## ----------------------------------|-----------|-----------|-----------|
## EXEMPT | 1586 | 974 | 2560 |
## | 1566.13 | 993.87 | |
## | 0.25 | 0.40 | |
## | 0.62 | 0.38 | 0.05 |
## | 0.05 | 0.04 | |
## | 0.03 | 0.02 | |
## ----------------------------------|-----------|-----------|-----------|
## MEDICAL CARD | 15132 | 9036 | 24168 |
## | 14785.29 | 9382.71 | |
## | 8.13 | 12.81 | |
## | 0.63 | 0.37 | 0.43 |
## | 0.44 | 0.41 | |
## | 0.27 | 0.16 | |
## ----------------------------------|-----------|-----------|-----------|
## NON ACUTE UNCLASSIFIED | 19 | 10 | 29 |
## | 17.74 | 11.26 | |
## | 0.09 | 0.14 | |
## | 0.66 | 0.34 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ----------------------------------|-----------|-----------|-----------|
## NON MEDICAL CARD | 17307 | 11325 | 28632 |
## | 17516.23 | 11115.77 | |
## | 2.50 | 3.94 | |
## | 0.60 | 0.40 | 0.51 |
## | 0.50 | 0.51 | |
## | 0.31 | 0.20 | |
## ----------------------------------|-----------|-----------|-----------|
## RESEARCH/NATIONAL PROG. | 69 | 41 | 110 |
## | 67.29 | 42.71 | |
## | 0.04 | 0.07 | |
## | 0.63 | 0.37 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ----------------------------------|-----------|-----------|-----------|
## Column Total | 34655 | 21992 | 56647 |
## | 0.61 | 0.39 | |
## ----------------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = NaN d.f. = 7 p = NaN
##
##
## CrossTable(main_processed$Booking.Type_recode, main_processed$New.Attendances, digits=2, fisher=F, chisq=TRUE, expected=TRUE)## Warning in chisq.test(t, correct = FALSE, ...): Chi-squared approximation may
## be incorrect##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 56647
##
##
## | main_processed$New.Attendances
## main_processed$Booking.Type_recode | 0 | 1 | Row Total |
## -----------------------------------|-----------|-----------|-----------|
## B : New Virtual Video | 3 | 486 | 489 |
## | 299.16 | 189.84 | |
## | 293.19 | 462.00 | |
## | 0.01 | 0.99 | 0.01 |
## | 0.00 | 0.02 | |
## | 0.00 | 0.01 | |
## -----------------------------------|-----------|-----------|-----------|
## C : New Virtual Phone | 178 | 4389 | 4567 |
## | 2793.96 | 1773.04 | |
## | 2449.30 | 3859.61 | |
## | 0.04 | 0.96 | 0.08 |
## | 0.01 | 0.20 | |
## | 0.00 | 0.08 | |
## -----------------------------------|-----------|-----------|-----------|
## D : Return Virtual Video | 2 | 1 | 3 |
## | 1.84 | 1.16 | |
## | 0.01 | 0.02 | |
## | 0.67 | 0.33 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## -----------------------------------|-----------|-----------|-----------|
## E : Return Virtual Phone | 12 | 0 | 12 |
## | 7.34 | 4.66 | |
## | 2.96 | 4.66 | |
## | 1.00 | 0.00 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## -----------------------------------|-----------|-----------|-----------|
## NEW | 1407 | 14757 | 16164 |
## | 9888.67 | 6275.33 | |
## | 7274.86 | 11463.73 | |
## | 0.09 | 0.91 | 0.29 |
## | 0.04 | 0.67 | |
## | 0.02 | 0.26 | |
## -----------------------------------|-----------|-----------|-----------|
## RETURN | 29477 | 2191 | 31668 |
## | 19373.57 | 12294.43 | |
## | 5269.00 | 8302.89 | |
## | 0.93 | 0.07 | 0.56 |
## | 0.85 | 0.10 | |
## | 0.52 | 0.04 | |
## -----------------------------------|-----------|-----------|-----------|
## V : REVIEW | 0 | 0 | 0 |
## | 0.00 | 0.00 | |
## | NaN | NaN | |
## | NaN | NaN | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## -----------------------------------|-----------|-----------|-----------|
## WARD | 3576 | 168 | 3744 |
## | 2290.47 | 1453.53 | |
## | 721.50 | 1136.95 | |
## | 0.96 | 0.04 | 0.07 |
## | 0.10 | 0.01 | |
## | 0.06 | 0.00 | |
## -----------------------------------|-----------|-----------|-----------|
## Column Total | 34655 | 21992 | 56647 |
## | 0.61 | 0.39 | |
## -----------------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = NaN d.f. = 7 p = NaN
##
##
## CrossTable(main_processed$Hospital.Catchment_recode, main_processed$New.Attendances, digits=2, fisher=F, chisq=TRUE, expected=TRUE)##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 56647
##
##
## | main_processed$New.Attendances
## main_processed$Hospital.Catchment_recode | 0 | 1 | Row Total |
## -----------------------------------------|-----------|-----------|-----------|
## Beaumont | 1590 | 1117 | 2707 |
## | 1656.06 | 1050.94 | |
## | 2.64 | 4.15 | |
## | 0.59 | 0.41 | 0.05 |
## | 0.05 | 0.05 | |
## | 0.03 | 0.02 | |
## -----------------------------------------|-----------|-----------|-----------|
## Connolly | 1667 | 1319 | 2986 |
## | 1826.75 | 1159.25 | |
## | 13.97 | 22.01 | |
## | 0.56 | 0.44 | 0.05 |
## | 0.05 | 0.06 | |
## | 0.03 | 0.02 | |
## -----------------------------------------|-----------|-----------|-----------|
## International | 137 | 119 | 256 |
## | 156.61 | 99.39 | |
## | 2.46 | 3.87 | |
## | 0.54 | 0.46 | 0.00 |
## | 0.00 | 0.01 | |
## | 0.00 | 0.00 | |
## -----------------------------------------|-----------|-----------|-----------|
## James | 2194 | 1690 | 3884 |
## | 2376.12 | 1507.88 | |
## | 13.96 | 22.00 | |
## | 0.56 | 0.44 | 0.07 |
## | 0.06 | 0.08 | |
## | 0.04 | 0.03 | |
## -----------------------------------------|-----------|-----------|-----------|
## Mater | 17022 | 10541 | 27563 |
## | 16862.25 | 10700.75 | |
## | 1.51 | 2.38 | |
## | 0.62 | 0.38 | 0.49 |
## | 0.49 | 0.48 | |
## | 0.30 | 0.19 | |
## -----------------------------------------|-----------|-----------|-----------|
## National | 9720 | 5682 | 15402 |
## | 9422.50 | 5979.50 | |
## | 9.39 | 14.80 | |
## | 0.63 | 0.37 | 0.27 |
## | 0.28 | 0.26 | |
## | 0.17 | 0.10 | |
## -----------------------------------------|-----------|-----------|-----------|
## Tallaght | 742 | 559 | 1301 |
## | 795.91 | 505.09 | |
## | 3.65 | 5.75 | |
## | 0.57 | 0.43 | 0.02 |
## | 0.02 | 0.03 | |
## | 0.01 | 0.01 | |
## -----------------------------------------|-----------|-----------|-----------|
## Vincents | 1583 | 965 | 2548 |
## | 1558.79 | 989.21 | |
## | 0.38 | 0.59 | |
## | 0.62 | 0.38 | 0.04 |
## | 0.05 | 0.04 | |
## | 0.03 | 0.02 | |
## -----------------------------------------|-----------|-----------|-----------|
## Column Total | 34655 | 21992 | 56647 |
## | 0.61 | 0.39 | |
## -----------------------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 124 d.f. = 7 p = 1.4e-23
##
##
## ## date relevance
CrossTable(main_processed$bookedDay, main_processed$New.Attendances, digits=2, fisher=F, chisq=TRUE, expected=TRUE)##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 50967
##
##
## | main_processed$New.Attendances
## main_processed$bookedDay | 0 | 1 | Row Total |
## -------------------------|-----------|-----------|-----------|
## Friday | 3346 | 2747 | 6093 |
## | 3783.81 | 2309.19 | |
## | 50.66 | 83.01 | |
## | 0.55 | 0.45 | 0.12 |
## | 0.11 | 0.14 | |
## | 0.07 | 0.05 | |
## -------------------------|-----------|-----------|-----------|
## Monday | 6399 | 3648 | 10047 |
## | 6239.28 | 3807.72 | |
## | 4.09 | 6.70 | |
## | 0.64 | 0.36 | 0.20 |
## | 0.20 | 0.19 | |
## | 0.13 | 0.07 | |
## -------------------------|-----------|-----------|-----------|
## Saturday | 3717 | 2719 | 6436 |
## | 3996.82 | 2439.18 | |
## | 19.59 | 32.10 | |
## | 0.58 | 0.42 | 0.13 |
## | 0.12 | 0.14 | |
## | 0.07 | 0.05 | |
## -------------------------|-----------|-----------|-----------|
## Sunday | 5155 | 3364 | 8519 |
## | 5290.38 | 3228.62 | |
## | 3.46 | 5.68 | |
## | 0.61 | 0.39 | 0.17 |
## | 0.16 | 0.17 | |
## | 0.10 | 0.07 | |
## -------------------------|-----------|-----------|-----------|
## Thursday | 2846 | 1728 | 4574 |
## | 2840.50 | 1733.50 | |
## | 0.01 | 0.02 | |
## | 0.62 | 0.38 | 0.09 |
## | 0.09 | 0.09 | |
## | 0.06 | 0.03 | |
## -------------------------|-----------|-----------|-----------|
## Tuesday | 6056 | 2957 | 9013 |
## | 5597.16 | 3415.84 | |
## | 37.61 | 61.63 | |
## | 0.67 | 0.33 | 0.18 |
## | 0.19 | 0.15 | |
## | 0.12 | 0.06 | |
## -------------------------|-----------|-----------|-----------|
## Wednesday | 4132 | 2153 | 6285 |
## | 3903.05 | 2381.95 | |
## | 13.43 | 22.01 | |
## | 0.66 | 0.34 | 0.12 |
## | 0.13 | 0.11 | |
## | 0.08 | 0.04 | |
## -------------------------|-----------|-----------|-----------|
## Column Total | 31651 | 19316 | 50967 |
## | 0.62 | 0.38 | |
## -------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 340 d.f. = 6 p = 2.2e-70
##
##
## CrossTable(main_processed$bookedMonthYear, main_processed$New.Attendances, digits=2, fisher=F, chisq=TRUE, expected=TRUE)##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 50967
##
##
## | main_processed$New.Attendances
## main_processed$bookedMonthYear | 0 | 1 | Row Total |
## -------------------------------|-----------|-----------|-----------|
## Apr 2020 | 2217 | 1320 | 3537 |
## | 2196.51 | 1340.49 | |
## | 0.19 | 0.31 | |
## | 0.63 | 0.37 | 0.07 |
## | 0.07 | 0.07 | |
## | 0.04 | 0.03 | |
## -------------------------------|-----------|-----------|-----------|
## Aug 2020 | 2707 | 1749 | 4456 |
## | 2767.22 | 1688.78 | |
## | 1.31 | 2.15 | |
## | 0.61 | 0.39 | 0.09 |
## | 0.09 | 0.09 | |
## | 0.05 | 0.03 | |
## -------------------------------|-----------|-----------|-----------|
## Dec 2020 | 2279 | 1372 | 3651 |
## | 2267.31 | 1383.69 | |
## | 0.06 | 0.10 | |
## | 0.62 | 0.38 | 0.07 |
## | 0.07 | 0.07 | |
## | 0.04 | 0.03 | |
## -------------------------------|-----------|-----------|-----------|
## Feb 2020 | 2533 | 1660 | 4193 |
## | 2603.89 | 1589.11 | |
## | 1.93 | 3.16 | |
## | 0.60 | 0.40 | 0.08 |
## | 0.08 | 0.09 | |
## | 0.05 | 0.03 | |
## -------------------------------|-----------|-----------|-----------|
## Jan 2020 | 2886 | 1796 | 4682 |
## | 2907.57 | 1774.43 | |
## | 0.16 | 0.26 | |
## | 0.62 | 0.38 | 0.09 |
## | 0.09 | 0.09 | |
## | 0.06 | 0.04 | |
## -------------------------------|-----------|-----------|-----------|
## Jul 2020 | 2858 | 1572 | 4430 |
## | 2751.07 | 1678.93 | |
## | 4.16 | 6.81 | |
## | 0.65 | 0.35 | 0.09 |
## | 0.09 | 0.08 | |
## | 0.06 | 0.03 | |
## -------------------------------|-----------|-----------|-----------|
## Jun 2020 | 2689 | 1645 | 4334 |
## | 2691.46 | 1642.54 | |
## | 0.00 | 0.00 | |
## | 0.62 | 0.38 | 0.09 |
## | 0.08 | 0.09 | |
## | 0.05 | 0.03 | |
## -------------------------------|-----------|-----------|-----------|
## Mar 2020 | 2555 | 1479 | 4034 |
## | 2505.15 | 1528.85 | |
## | 0.99 | 1.63 | |
## | 0.63 | 0.37 | 0.08 |
## | 0.08 | 0.08 | |
## | 0.05 | 0.03 | |
## -------------------------------|-----------|-----------|-----------|
## May 2020 | 2644 | 1473 | 4117 |
## | 2556.70 | 1560.30 | |
## | 2.98 | 4.88 | |
## | 0.64 | 0.36 | 0.08 |
## | 0.08 | 0.08 | |
## | 0.05 | 0.03 | |
## -------------------------------|-----------|-----------|-----------|
## Nov 2020 | 2724 | 1800 | 4524 |
## | 2809.45 | 1714.55 | |
## | 2.60 | 4.26 | |
## | 0.60 | 0.40 | 0.09 |
## | 0.09 | 0.09 | |
## | 0.05 | 0.04 | |
## -------------------------------|-----------|-----------|-----------|
## Oct 2020 | 2785 | 1770 | 4555 |
## | 2828.70 | 1726.30 | |
## | 0.68 | 1.11 | |
## | 0.61 | 0.39 | 0.09 |
## | 0.09 | 0.09 | |
## | 0.05 | 0.03 | |
## -------------------------------|-----------|-----------|-----------|
## Sep 2020 | 2774 | 1680 | 4454 |
## | 2765.98 | 1688.02 | |
## | 0.02 | 0.04 | |
## | 0.62 | 0.38 | 0.09 |
## | 0.09 | 0.09 | |
## | 0.05 | 0.03 | |
## -------------------------------|-----------|-----------|-----------|
## Column Total | 31651 | 19316 | 50967 |
## | 0.62 | 0.38 | |
## -------------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 40 d.f. = 11 p = 3.9e-05
##
##
## CrossTable(main_processed$Attendance.Day, main_processed$New.Attendances, digits=2, fisher=F, chisq=TRUE, expected=TRUE)## Warning in chisq.test(t, correct = FALSE, ...): Chi-squared approximation may
## be incorrect##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 56647
##
##
## | main_processed$New.Attendances
## main_processed$Attendance.Day | 0 | 1 | Row Total |
## ------------------------------|-----------|-----------|-----------|
## Friday | 8399 | 3769 | 12168 |
## | 7444.03 | 4723.97 | |
## | 122.51 | 193.05 | |
## | 0.69 | 0.31 | 0.21 |
## | 0.24 | 0.17 | |
## | 0.15 | 0.07 | |
## ------------------------------|-----------|-----------|-----------|
## Monday | 6851 | 4631 | 11482 |
## | 7024.36 | 4457.64 | |
## | 4.28 | 6.74 | |
## | 0.60 | 0.40 | 0.20 |
## | 0.20 | 0.21 | |
## | 0.12 | 0.08 | |
## ------------------------------|-----------|-----------|-----------|
## Saturday | 0 | 1 | 1 |
## | 0.61 | 0.39 | |
## | 0.61 | 0.96 | |
## | 0.00 | 1.00 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ------------------------------|-----------|-----------|-----------|
## Sunday | 7 | 0 | 7 |
## | 4.28 | 2.72 | |
## | 1.72 | 2.72 | |
## | 1.00 | 0.00 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ------------------------------|-----------|-----------|-----------|
## Thursday | 6083 | 4131 | 10214 |
## | 6248.63 | 3965.37 | |
## | 4.39 | 6.92 | |
## | 0.60 | 0.40 | 0.18 |
## | 0.18 | 0.19 | |
## | 0.11 | 0.07 | |
## ------------------------------|-----------|-----------|-----------|
## Tuesday | 6496 | 4198 | 10694 |
## | 6542.28 | 4151.72 | |
## | 0.33 | 0.52 | |
## | 0.61 | 0.39 | 0.19 |
## | 0.19 | 0.19 | |
## | 0.11 | 0.07 | |
## ------------------------------|-----------|-----------|-----------|
## Wednesday | 6819 | 5262 | 12081 |
## | 7390.81 | 4690.19 | |
## | 44.24 | 69.71 | |
## | 0.56 | 0.44 | 0.21 |
## | 0.20 | 0.24 | |
## | 0.12 | 0.09 | |
## ------------------------------|-----------|-----------|-----------|
## Column Total | 34655 | 21992 | 56647 |
## | 0.61 | 0.39 | |
## ------------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 459 d.f. = 6 p = 6.6e-96
##
##
## CrossTable(main_processed$Attendance.MonthYear, main_processed$New.Attendances, digits=2, fisher=F, chisq=TRUE, expected=TRUE)##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 56647
##
##
## | main_processed$New.Attendances
## main_processed$Attendance.MonthYear | 0 | 1 | Row Total |
## ------------------------------------|-----------|-----------|-----------|
## Apr-20 | 300 | 135 | 435 |
## | 266.12 | 168.88 | |
## | 4.31 | 6.80 | |
## | 0.69 | 0.31 | 0.01 |
## | 0.01 | 0.01 | |
## | 0.01 | 0.00 | |
## ------------------------------------|-----------|-----------|-----------|
## Apr-21 | 609 | 390 | 999 |
## | 611.16 | 387.84 | |
## | 0.01 | 0.01 | |
## | 0.61 | 0.39 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Apr-22 | 689 | 463 | 1152 |
## | 704.76 | 447.24 | |
## | 0.35 | 0.56 | |
## | 0.60 | 0.40 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Apr-23 | 800 | 440 | 1240 |
## | 758.60 | 481.40 | |
## | 2.26 | 3.56 | |
## | 0.65 | 0.35 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Aug-20 | 550 | 343 | 893 |
## | 546.31 | 346.69 | |
## | 0.02 | 0.04 | |
## | 0.62 | 0.38 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Aug-21 | 735 | 396 | 1131 |
## | 691.91 | 439.09 | |
## | 2.68 | 4.23 | |
## | 0.65 | 0.35 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Aug-22 | 737 | 452 | 1189 |
## | 727.40 | 461.60 | |
## | 0.13 | 0.20 | |
## | 0.62 | 0.38 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Aug-23 | 948 | 566 | 1514 |
## | 926.22 | 587.78 | |
## | 0.51 | 0.81 | |
## | 0.63 | 0.37 | 0.03 |
## | 0.03 | 0.03 | |
## | 0.02 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Dec-20 | 554 | 384 | 938 |
## | 573.84 | 364.16 | |
## | 0.69 | 1.08 | |
## | 0.59 | 0.41 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Dec-21 | 565 | 424 | 989 |
## | 605.04 | 383.96 | |
## | 2.65 | 4.18 | |
## | 0.57 | 0.43 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Dec-22 | 796 | 527 | 1323 |
## | 809.37 | 513.63 | |
## | 0.22 | 0.35 | |
## | 0.60 | 0.40 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Dec-23 | 765 | 413 | 1178 |
## | 720.67 | 457.33 | |
## | 2.73 | 4.30 | |
## | 0.65 | 0.35 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Feb-20 | 718 | 554 | 1272 |
## | 778.17 | 493.83 | |
## | 4.65 | 7.33 | |
## | 0.56 | 0.44 | 0.02 |
## | 0.02 | 0.03 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Feb-21 | 480 | 368 | 848 |
## | 518.78 | 329.22 | |
## | 2.90 | 4.57 | |
## | 0.57 | 0.43 | 0.01 |
## | 0.01 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Feb-22 | 684 | 449 | 1133 |
## | 693.14 | 439.86 | |
## | 0.12 | 0.19 | |
## | 0.60 | 0.40 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Feb-23 | 986 | 466 | 1452 |
## | 888.29 | 563.71 | |
## | 10.75 | 16.94 | |
## | 0.68 | 0.32 | 0.03 |
## | 0.03 | 0.02 | |
## | 0.02 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Jan-20 | 778 | 569 | 1347 |
## | 824.06 | 522.94 | |
## | 2.57 | 4.06 | |
## | 0.58 | 0.42 | 0.02 |
## | 0.02 | 0.03 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Jan-21 | 533 | 313 | 846 |
## | 517.56 | 328.44 | |
## | 0.46 | 0.73 | |
## | 0.63 | 0.37 | 0.01 |
## | 0.02 | 0.01 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Jan-22 | 641 | 428 | 1069 |
## | 653.98 | 415.02 | |
## | 0.26 | 0.41 | |
## | 0.60 | 0.40 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Jan-23 | 1005 | 579 | 1584 |
## | 969.05 | 614.95 | |
## | 1.33 | 2.10 | |
## | 0.63 | 0.37 | 0.03 |
## | 0.03 | 0.03 | |
## | 0.02 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Jul-20 | 595 | 342 | 937 |
## | 573.23 | 363.77 | |
## | 0.83 | 1.30 | |
## | 0.64 | 0.36 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Jul-21 | 732 | 429 | 1161 |
## | 710.27 | 450.73 | |
## | 0.67 | 1.05 | |
## | 0.63 | 0.37 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Jul-22 | 786 | 407 | 1193 |
## | 729.84 | 463.16 | |
## | 4.32 | 6.81 | |
## | 0.66 | 0.34 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Jul-23 | 962 | 532 | 1494 |
## | 913.99 | 580.01 | |
## | 2.52 | 3.97 | |
## | 0.64 | 0.36 | 0.03 |
## | 0.03 | 0.02 | |
## | 0.02 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Jun-20 | 406 | 283 | 689 |
## | 421.51 | 267.49 | |
## | 0.57 | 0.90 | |
## | 0.59 | 0.41 | 0.01 |
## | 0.01 | 0.01 | |
## | 0.01 | 0.00 | |
## ------------------------------------|-----------|-----------|-----------|
## Jun-21 | 677 | 437 | 1114 |
## | 681.51 | 432.49 | |
## | 0.03 | 0.05 | |
## | 0.61 | 0.39 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Jun-22 | 729 | 447 | 1176 |
## | 719.44 | 456.56 | |
## | 0.13 | 0.20 | |
## | 0.62 | 0.38 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Jun-23 | 936 | 565 | 1501 |
## | 918.27 | 582.73 | |
## | 0.34 | 0.54 | |
## | 0.62 | 0.38 | 0.03 |
## | 0.03 | 0.03 | |
## | 0.02 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Mar-20 | 514 | 265 | 779 |
## | 476.57 | 302.43 | |
## | 2.94 | 4.63 | |
## | 0.66 | 0.34 | 0.01 |
## | 0.01 | 0.01 | |
## | 0.01 | 0.00 | |
## ------------------------------------|-----------|-----------|-----------|
## Mar-21 | 617 | 519 | 1136 |
## | 694.97 | 441.03 | |
## | 8.75 | 13.79 | |
## | 0.54 | 0.46 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Mar-22 | 660 | 484 | 1144 |
## | 699.87 | 444.13 | |
## | 2.27 | 3.58 | |
## | 0.58 | 0.42 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Mar-23 | 1021 | 611 | 1632 |
## | 998.41 | 633.59 | |
## | 0.51 | 0.81 | |
## | 0.63 | 0.37 | 0.03 |
## | 0.03 | 0.03 | |
## | 0.02 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## May-20 | 297 | 216 | 513 |
## | 313.84 | 199.16 | |
## | 0.90 | 1.42 | |
## | 0.58 | 0.42 | 0.01 |
## | 0.01 | 0.01 | |
## | 0.01 | 0.00 | |
## ------------------------------------|-----------|-----------|-----------|
## May-21 | 628 | 432 | 1060 |
## | 648.48 | 411.52 | |
## | 0.65 | 1.02 | |
## | 0.59 | 0.41 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## May-22 | 808 | 531 | 1339 |
## | 819.16 | 519.84 | |
## | 0.15 | 0.24 | |
## | 0.60 | 0.40 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## May-23 | 963 | 616 | 1579 |
## | 965.99 | 613.01 | |
## | 0.01 | 0.01 | |
## | 0.61 | 0.39 | 0.03 |
## | 0.03 | 0.03 | |
## | 0.02 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Nov-20 | 663 | 335 | 998 |
## | 610.55 | 387.45 | |
## | 4.51 | 7.10 | |
## | 0.66 | 0.34 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Nov-21 | 626 | 595 | 1221 |
## | 746.97 | 474.03 | |
## | 19.59 | 30.87 | |
## | 0.51 | 0.49 | 0.02 |
## | 0.02 | 0.03 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Nov-22 | 991 | 630 | 1621 |
## | 991.68 | 629.32 | |
## | 0.00 | 0.00 | |
## | 0.61 | 0.39 | 0.03 |
## | 0.03 | 0.03 | |
## | 0.02 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Nov-23 | 962 | 617 | 1579 |
## | 965.99 | 613.01 | |
## | 0.02 | 0.03 | |
## | 0.61 | 0.39 | 0.03 |
## | 0.03 | 0.03 | |
## | 0.02 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Oct-20 | 658 | 344 | 1002 |
## | 612.99 | 389.01 | |
## | 3.30 | 5.21 | |
## | 0.66 | 0.34 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Oct-21 | 600 | 529 | 1129 |
## | 690.69 | 438.31 | |
## | 11.91 | 18.76 | |
## | 0.53 | 0.47 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Oct-22 | 795 | 632 | 1427 |
## | 873.00 | 554.00 | |
## | 6.97 | 10.98 | |
## | 0.56 | 0.44 | 0.03 |
## | 0.02 | 0.03 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Oct-23 | 934 | 592 | 1526 |
## | 933.56 | 592.44 | |
## | 0.00 | 0.00 | |
## | 0.61 | 0.39 | 0.03 |
## | 0.03 | 0.03 | |
## | 0.02 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Sep-20 | 645 | 416 | 1061 |
## | 649.09 | 411.91 | |
## | 0.03 | 0.04 | |
## | 0.61 | 0.39 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Sep-21 | 722 | 396 | 1118 |
## | 683.96 | 434.04 | |
## | 2.12 | 3.33 | |
## | 0.65 | 0.35 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Sep-22 | 852 | 545 | 1397 |
## | 854.64 | 542.36 | |
## | 0.01 | 0.01 | |
## | 0.61 | 0.39 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.02 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Sep-23 | 1003 | 586 | 1589 |
## | 972.10 | 616.90 | |
## | 0.98 | 1.55 | |
## | 0.63 | 0.37 | 0.03 |
## | 0.03 | 0.03 | |
## | 0.02 | 0.01 | |
## ------------------------------------|-----------|-----------|-----------|
## Column Total | 34655 | 21992 | 56647 |
## | 0.61 | 0.39 | |
## ------------------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 295 d.f. = 47 p = 1.1e-37
##
##
## leveneTest(daysDiff_attendanceBooked ~ as.factor(New.Attendances), data=main_processed) #leveneTest is Ha## Levene's Test for Homogeneity of Variance (center = median)
## Df F value Pr(>F)
## group 1 210 <2e-16 ***
## 50965
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1t.test(daysDiff_attendanceBooked ~ New.Attendances, var.equal=F, data=main_processed)##
## Welch Two Sample t-test
##
## data: daysDiff_attendanceBooked by New.Attendances
## t = 0.4, df = 46373, p-value = 0.7
## alternative hypothesis: true difference in means between group 0 and group 1 is not equal to 0
## 95 percent confidence interval:
## -1.2 1.7
## sample estimates:
## mean in group 0 mean in group 1
## -3.1 -3.4## patient characteristics relevance
CrossTable(main_processed$Gender, main_processed$New.Attendances, digits=2, fisher=TRUE, chisq=TRUE, expected=TRUE)## Warning in chisq.test(t, correct = FALSE, ...): Chi-squared approximation may
## be incorrect##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 56647
##
##
## | main_processed$New.Attendances
## main_processed$Gender | 0 | 1 | Row Total |
## ----------------------|-----------|-----------|-----------|
## Female | 17114 | 11211 | 28325 |
## | 17328.42 | 10996.58 | |
## | 2.65 | 4.18 | |
## | 0.60 | 0.40 | 0.50 |
## | 0.49 | 0.51 | |
## | 0.30 | 0.20 | |
## ----------------------|-----------|-----------|-----------|
## Male | 17538 | 10779 | 28317 |
## | 17323.52 | 10993.48 | |
## | 2.66 | 4.18 | |
## | 0.62 | 0.38 | 0.50 |
## | 0.51 | 0.49 | |
## | 0.31 | 0.19 | |
## ----------------------|-----------|-----------|-----------|
## Unknown | 3 | 2 | 5 |
## | 3.06 | 1.94 | |
## | 0.00 | 0.00 | |
## | 0.60 | 0.40 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ----------------------|-----------|-----------|-----------|
## Column Total | 34655 | 21992 | 56647 |
## | 0.61 | 0.39 | |
## ----------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 14 d.f. = 2 p = 0.0011
##
##
##
## Fisher's Exact Test for Count Data
## ------------------------------------------------------------
## Alternative hypothesis: two.sided
## p = 5e-04
##
## CrossTable(main_processed$Age.at.Attendance.Cat.HSE, main_processed$New.Attendances, digits=2, fisher=F, chisq=TRUE, expected=TRUE) # age group## Warning in chisq.test(t, correct = FALSE, ...): Chi-squared approximation may
## be incorrect##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 56647
##
##
## | main_processed$New.Attendances
## main_processed$Age.at.Attendance.Cat.HSE | 0 | 1 | Row Total |
## -----------------------------------------|-----------|-----------|-----------|
## 0 - 4 | 0 | 2 | 2 |
## | 1.22 | 0.78 | |
## | 1.22 | 1.93 | |
## | 0.00 | 1.00 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## -----------------------------------------|-----------|-----------|-----------|
## 05-Sep | 0 | 0 | 0 |
## | 0.00 | 0.00 | |
## | NaN | NaN | |
## | NaN | NaN | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## -----------------------------------------|-----------|-----------|-----------|
## 15 - 24 | 3564 | 2849 | 6413 |
## | 3923.29 | 2489.71 | |
## | 32.90 | 51.85 | |
## | 0.56 | 0.44 | 0.11 |
## | 0.10 | 0.13 | |
## | 0.06 | 0.05 | |
## -----------------------------------------|-----------|-----------|-----------|
## 25 - 34 | 4729 | 3473 | 8202 |
## | 5017.75 | 3184.25 | |
## | 16.62 | 26.18 | |
## | 0.58 | 0.42 | 0.14 |
## | 0.14 | 0.16 | |
## | 0.08 | 0.06 | |
## -----------------------------------------|-----------|-----------|-----------|
## 35 - 44 | 5072 | 3455 | 8527 |
## | 5216.57 | 3310.43 | |
## | 4.01 | 6.31 | |
## | 0.59 | 0.41 | 0.15 |
## | 0.15 | 0.16 | |
## | 0.09 | 0.06 | |
## -----------------------------------------|-----------|-----------|-----------|
## 45 - 54 | 5986 | 3904 | 9890 |
## | 6050.42 | 3839.58 | |
## | 0.69 | 1.08 | |
## | 0.61 | 0.39 | 0.17 |
## | 0.17 | 0.18 | |
## | 0.11 | 0.07 | |
## -----------------------------------------|-----------|-----------|-----------|
## 55 - 64 | 6711 | 3691 | 10402 |
## | 6363.64 | 4038.36 | |
## | 18.96 | 29.88 | |
## | 0.65 | 0.35 | 0.18 |
## | 0.19 | 0.17 | |
## | 0.12 | 0.07 | |
## -----------------------------------------|-----------|-----------|-----------|
## 65 - 74 | 5368 | 2806 | 8174 |
## | 5000.62 | 3173.38 | |
## | 26.99 | 42.53 | |
## | 0.66 | 0.34 | 0.14 |
## | 0.15 | 0.13 | |
## | 0.09 | 0.05 | |
## -----------------------------------------|-----------|-----------|-----------|
## 75 - 84 | 2574 | 1435 | 4009 |
## | 2452.59 | 1556.41 | |
## | 6.01 | 9.47 | |
## | 0.64 | 0.36 | 0.07 |
## | 0.07 | 0.07 | |
## | 0.05 | 0.03 | |
## -----------------------------------------|-----------|-----------|-----------|
## 85 >= | 646 | 369 | 1015 |
## | 620.95 | 394.05 | |
## | 1.01 | 1.59 | |
## | 0.64 | 0.36 | 0.02 |
## | 0.02 | 0.02 | |
## | 0.01 | 0.01 | |
## -----------------------------------------|-----------|-----------|-----------|
## Oct-14 | 5 | 8 | 13 |
## | 7.95 | 5.05 | |
## | 1.10 | 1.73 | |
## | 0.38 | 0.62 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## -----------------------------------------|-----------|-----------|-----------|
## Column Total | 34655 | 21992 | 56647 |
## | 0.61 | 0.39 | |
## -----------------------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = NaN d.f. = 10 p = NaN
##
##
## leveneTest(Age.at.Attendance ~ as.factor(New.Attendances), data=main_processed)## Levene's Test for Homogeneity of Variance (center = median)
## Df F value Pr(>F)
## group 1 11.6 0.00065 ***
## 56645
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1t.test(Age.at.Attendance ~ New.Attendances, var.equal=FALSE, data=main_processed) #leveneTest is Ha##
## Welch Two Sample t-test
##
## data: Age.at.Attendance by New.Attendances
## t = 16, df = 46266, p-value <2e-16
## alternative hypothesis: true difference in means between group 0 and group 1 is not equal to 0
## 95 percent confidence interval:
## 2.2 2.8
## sample estimates:
## mean in group 0 mean in group 1
## 50 48wilcox.test(main_processed$Age.at.Attendance ~ main_processed$New.Attendances)##
## Wilcoxon rank sum test with continuity correction
##
## data: main_processed$Age.at.Attendance by main_processed$New.Attendances
## W = 4e+08, p-value <2e-16
## alternative hypothesis: true location shift is not equal to 0CrossTable(main_processed$Area.of.Residence_recode, main_processed$New.Attendances, digits=2, fisher=F, chisq=TRUE, expected=TRUE) # remove Na or impute where no residence##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 56647
##
##
## | main_processed$New.Attendances
## main_processed$Area.of.Residence_recode | 0 | 1 | Row Total |
## ----------------------------------------|-----------|-----------|-----------|
## DUBLIN NTH | 22938 | 14675 | 37613 |
## | 23010.55 | 14602.45 | |
## | 0.23 | 0.36 | |
## | 0.61 | 0.39 | 0.66 |
## | 0.66 | 0.67 | |
## | 0.40 | 0.26 | |
## ----------------------------------------|-----------|-----------|-----------|
## DUBLIN STH | 4545 | 3225 | 7770 |
## | 4753.46 | 3016.54 | |
## | 9.14 | 14.41 | |
## | 0.58 | 0.42 | 0.14 |
## | 0.13 | 0.15 | |
## | 0.08 | 0.06 | |
## ----------------------------------------|-----------|-----------|-----------|
## EASTERN & MIDLAND REGION (excl.Dublin) | 4373 | 2651 | 7024 |
## | 4297.08 | 2726.92 | |
## | 1.34 | 2.11 | |
## | 0.62 | 0.38 | 0.12 |
## | 0.13 | 0.12 | |
## | 0.08 | 0.05 | |
## ----------------------------------------|-----------|-----------|-----------|
## NORTHERN WESTERN REGION | 1104 | 585 | 1689 |
## | 1033.28 | 655.72 | |
## | 4.84 | 7.63 | |
## | 0.65 | 0.35 | 0.03 |
## | 0.03 | 0.03 | |
## | 0.02 | 0.01 | |
## ----------------------------------------|-----------|-----------|-----------|
## OUTSIDE IRELAND | 40 | 53 | 93 |
## | 56.89 | 36.11 | |
## | 5.02 | 7.91 | |
## | 0.43 | 0.57 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ----------------------------------------|-----------|-----------|-----------|
## SOUTHERN REGION | 1539 | 722 | 2261 |
## | 1383.21 | 877.79 | |
## | 17.55 | 27.65 | |
## | 0.68 | 0.32 | 0.04 |
## | 0.04 | 0.03 | |
## | 0.03 | 0.01 | |
## ----------------------------------------|-----------|-----------|-----------|
## UNKNOWN | 116 | 81 | 197 |
## | 120.52 | 76.48 | |
## | 0.17 | 0.27 | |
## | 0.59 | 0.41 | 0.00 |
## | 0.00 | 0.00 | |
## | 0.00 | 0.00 | |
## ----------------------------------------|-----------|-----------|-----------|
## Column Total | 34655 | 21992 | 56647 |
## | 0.61 | 0.39 | |
## ----------------------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 99 d.f. = 6 p = 4.9e-19
##
##
## CrossTable(main_processed$addressDiff, main_processed$New.Attendances, digits=2, fisher=F, chisq=TRUE, expected=TRUE)##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 56647
##
##
## | main_processed$New.Attendances
## main_processed$addressDiff | 0 | 1 | Row Total |
## ---------------------------|-----------|-----------|-----------|
## 0 | 30550 | 18791 | 49341 |
## | 30185.40 | 19155.60 | |
## | 4.40 | 6.94 | |
## | 0.62 | 0.38 | 0.87 |
## | 0.88 | 0.85 | |
## | 0.54 | 0.33 | |
## ---------------------------|-----------|-----------|-----------|
## 1 | 4105 | 3201 | 7306 |
## | 4469.60 | 2836.40 | |
## | 29.74 | 46.87 | |
## | 0.56 | 0.44 | 0.13 |
## | 0.12 | 0.15 | |
## | 0.07 | 0.06 | |
## ---------------------------|-----------|-----------|-----------|
## Column Total | 34655 | 21992 | 56647 |
## | 0.61 | 0.39 | |
## ---------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 88 d.f. = 1 p = 6.7e-21
##
## Pearson's Chi-squared test with Yates' continuity correction
## ------------------------------------------------------------
## Chi^2 = 88 d.f. = 1 p = 7.6e-21
##
## Cancellation
# convert the non-numeric variables to numeric values (the lower the number, the higher frequency)
main_processed$Referral.Source_numeric <- mapvalues(main_processed$Referral.Source_recode, from = c("CLINIC","EMERGENCY DEPT","GP","Elsew outside Mater","WARD","Elsew of Mater","OTHER CONSULTANT"), to = c(1:7))
main_processed$Clinic.Type_numeric <- mapvalues(main_processed$Clinic.Type_recode, from = c("GENERAL","SPINErelated","MUSCULOSKELETALrelated","PODIATRY","UPPER_LIMBrelated","NotLocatedInMater","BACK_PAINrelated","NTPFfund"), to = c(1:8))
main_processed$Consultant_numeric <- mapvalues(main_processed$Consultant_recode, from = c("OHEIRE","MOROP","COLGAN","SYNNOT","XX","MORRI","LYONSF","BRIAIN","MARA","TIMLIN","ONEISH","BUTLER","CASSID","DODDSM","HYNESD","CASHMA","MURMAR","LYNCSA","MCSORK","ORTCON","CARMOO","FRA"), to = c(1:22))
main_processed$Insurance.Scheme_numeric <- mapvalues(main_processed$Insurance.Scheme_recode, from = c("U","D","V","B","I","S","G","O","E","P","J","H","A","C","M"), to = c(1:15))
main_processed$Eligibility_numeric <- mapvalues(main_processed$Eligibility_recode, from = c("NON MEDICAL CARD","MEDICAL CARD","ELIGIBILITY UNKNOWN","EXEMPT","RESEARCH/NATIONAL PROG.","ACUTE UNCLASSIFIED","NON ACUTE UNCLASSIFIED"), to = c(1:7))
main_processed$Booking.Type_numeric <- mapvalues(main_processed$Booking.Type_recode, from = c("RETURN","NEW","WARD"), to = c(1:3))
main_processed$Hospital.Catchment_numeric <- mapvalues(main_processed$Hospital.Catchment_recode, from = c("National","Mater","Connolly","Beaumont","James","Vincents","Tallaght","International"), to = c(1:8))
main_processed$appointmentDay_numeric <- mapvalues(main_processed$appointmentDay, from = c("Wednesday","Monday","Thursday","Tuesday","Friday","Sunday"), to = c(1:6))
main_processed$appointmentMonthYear_numeric <- mapvalues(main_processed$appointmentMonthYear, from = c("Mar 2020","Jan 2021","Mar 2022","Apr 2020","May 2022","Nov 2021","Sep 2022","Sep 2020","Apr 2022","Sep 2021","Aug 2022","Jan 2022","Jun 2022","Jul 2022","Feb 2022","Dec 2021","Jul 2021","Oct 2021","Jan 2023","Nov 2022","Aug 2021","May 2023","May 2021","Oct 2023","Nov 2023","Jun 2021","Feb 2021","Feb 2020","Oct 2022","Mar 2021","Apr 2023","Sep 2023","Aug 2023","Oct 2020","Jul 2023","Apr 2021","Mar 2023","Nov 2020","Dec 2022","Jun 2020","Aug 2020","May 2020","Dec 2023","Dec 2020","Jun 2023","Feb 2023","Jul 2020","Jan 2020"), to = c(1:48))
main_processed$bookedDay_numeric <- mapvalues(main_processed$bookedDay, from = c("Monday","Tuesday","Sunday","Wednesday","Saturday","Friday","Thursday"), to = c(1:7))
main_processed$bookedMonthYear_numeric <- mapvalues(main_processed$bookedMonthYear, from = c("Jan 2020","Feb 2020","Sep 2020","Mar 2020","Jul 2020","Aug 2020","Oct 2020","Nov 2020","Jun 2020","May 2020","Apr 2020","Dec 2020"), to = c(1:12))
main_processed$Gender_numeric <- mapvalues(main_processed$Gender, from = c("Male","Female","Unknown"), to = c(1:3))
main_processed$Area.of.Residence_numeric <- mapvalues(main_processed$Area.of.Residence_recode, from = c("DUBLIN NTH","EASTERN & MIDLAND REGION (excl.Dublin)","DUBLIN STH","SOUTHERN REGION","NORTHERN WESTERN REGION","UNKNOWN","OUTSIDE IRELAND"), to = c(1:7))
main_processed$Rebooked.Indicator_numeric <- mapvalues(main_processed$Rebooked.Indicator, from = c("Yes","No"), to = c(1,0))
main_processed$Cancellation.Group_numeric <- mapvalues(main_processed$Cancellation.Group, from = c("Hospital","Patient","DNA","Validation"), to = c(1:4))
main_processed$Reason.for.Cancellation_numeric <- mapvalues(main_processed$Reason.for.Cancellation_recode, from = c("No show","By Patient","By Cslt/AN/Tech","By Hospital","By Covid","By Patient-health conditions"), to = c(1:6))
write.csv(main_processed[,c("Gender_numeric","Age.at.Attendance","Area.of.Residence_numeric","addressDiff","No.Cancels","Referral.Source_numeric","Clinic.Type_numeric","Consultant_numeric","Insurance.Scheme_numeric","Eligibility_numeric","Hospital.Catchment_numeric","Booking.Type_numeric","Rebooked.Indicator_numeric","Cancellation.Group_numeric","Reason.for.Cancellation_numeric","appointmentDay_numeric","appointmentMonthYear_numeric","bookedDay_numeric","bookedMonthYear_numeric","daysDiff_AppointBooked")],"spineDetails_cancel.csv")
main_processed_cancel <- read.csv("spineDetails_cancel.csv")
main_processed_cancel <- subset(main_processed_cancel, is.na(main_processed_cancel$No.Cancels)==F)
main_processed_cancel <- main_processed_cancel %>% mutate_if(is.character,as.numeric)## Warning: There were 2 warnings in `mutate()`.
## The first warning was:
## ℹ In argument: `Eligibility_numeric =
## .Primitive("as.double")(Eligibility_numeric)`.
## Caused by warning:
## ! NAs introduced by coercion
## ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning.cor(main_processed_cancel, method = "spearman")## X Gender_numeric Age.at.Attendance
## X 1.0000 -0.0838 -0.4424
## Gender_numeric -0.0838 1.0000 0.1693
## Age.at.Attendance -0.4424 0.1693 1.0000
## Area.of.Residence_numeric 0.3719 -0.0238 -0.0672
## addressDiff 0.0572 -0.0097 -0.0490
## No.Cancels -0.0224 0.1189 0.1450
## Referral.Source_numeric 0.0283 0.0305 0.1150
## Clinic.Type_numeric 0.0358 0.0701 0.0353
## Consultant_numeric 0.1317 0.0245 -0.0454
## Insurance.Scheme_numeric -0.3470 0.0766 0.2576
## Eligibility_numeric NA NA NA
## Hospital.Catchment_numeric -0.1315 -0.0163 -0.0535
## Booking.Type_numeric NA NA NA
## Rebooked.Indicator_numeric -0.0065 0.0551 0.0474
## Cancellation.Group_numeric 0.0277 -0.0769 -0.1149
## Reason.for.Cancellation_numeric -0.0580 0.1000 0.1583
## appointmentDay_numeric 0.0362 -0.0534 -0.1608
## appointmentMonthYear_numeric 0.0305 0.0025 -0.0093
## bookedDay_numeric -0.0061 -0.0171 -0.0081
## bookedMonthYear_numeric 0.0445 -0.0156 -0.0292
## daysDiff_AppointBooked -0.1603 -0.0261 -0.0141
## Area.of.Residence_numeric addressDiff
## X 0.3719 0.05720
## Gender_numeric -0.0238 -0.00968
## Age.at.Attendance -0.0672 -0.04896
## Area.of.Residence_numeric 1.0000 -0.02017
## addressDiff -0.0202 1.00000
## No.Cancels 0.1002 -0.06240
## Referral.Source_numeric 0.0502 0.07966
## Clinic.Type_numeric 0.0576 0.09294
## Consultant_numeric 0.2068 0.01614
## Insurance.Scheme_numeric -0.1020 -0.06630
## Eligibility_numeric NA NA
## Hospital.Catchment_numeric -0.2117 0.00883
## Booking.Type_numeric NA NA
## Rebooked.Indicator_numeric 0.0766 -0.06516
## Cancellation.Group_numeric -0.0832 0.05127
## Reason.for.Cancellation_numeric 0.0782 -0.05704
## appointmentDay_numeric -0.0667 0.01199
## appointmentMonthYear_numeric -0.0014 -0.00053
## bookedDay_numeric -0.0211 -0.00145
## bookedMonthYear_numeric -0.0090 -0.01691
## daysDiff_AppointBooked -0.0449 0.02599
## No.Cancels Referral.Source_numeric
## X -0.0224 2.8e-02
## Gender_numeric 0.1189 3.0e-02
## Age.at.Attendance 0.1450 1.1e-01
## Area.of.Residence_numeric 0.1002 5.0e-02
## addressDiff -0.0624 8.0e-02
## No.Cancels 1.0000 3.2e-02
## Referral.Source_numeric 0.0316 1.0e+00
## Clinic.Type_numeric 0.1300 2.3e-01
## Consultant_numeric 0.1291 5.3e-02
## Insurance.Scheme_numeric 0.0285 -1.4e-02
## Eligibility_numeric NA NA
## Hospital.Catchment_numeric -0.1218 -6.3e-02
## Booking.Type_numeric NA NA
## Rebooked.Indicator_numeric 0.5366 -9.3e-02
## Cancellation.Group_numeric -0.7562 -4.3e-02
## Reason.for.Cancellation_numeric 0.8440 4.1e-02
## appointmentDay_numeric -0.0920 -1.3e-01
## appointmentMonthYear_numeric -0.0025 7.4e-06
## bookedDay_numeric 0.0138 -2.9e-02
## bookedMonthYear_numeric -0.0812 -1.5e-02
## daysDiff_AppointBooked -0.0177 -3.2e-02
## Clinic.Type_numeric Consultant_numeric
## X 0.0358 0.1317
## Gender_numeric 0.0701 0.0245
## Age.at.Attendance 0.0353 -0.0454
## Area.of.Residence_numeric 0.0576 0.2068
## addressDiff 0.0929 0.0161
## No.Cancels 0.1300 0.1291
## Referral.Source_numeric 0.2255 0.0531
## Clinic.Type_numeric 1.0000 0.2137
## Consultant_numeric 0.2137 1.0000
## Insurance.Scheme_numeric -0.0439 -0.0252
## Eligibility_numeric NA NA
## Hospital.Catchment_numeric -0.0958 -0.1450
## Booking.Type_numeric NA NA
## Rebooked.Indicator_numeric -0.0803 0.1232
## Cancellation.Group_numeric -0.1088 -0.1455
## Reason.for.Cancellation_numeric 0.1173 0.1261
## appointmentDay_numeric 0.0851 0.0803
## appointmentMonthYear_numeric -0.0433 -0.0045
## bookedDay_numeric -0.0125 0.0144
## bookedMonthYear_numeric -0.0640 -0.0981
## daysDiff_AppointBooked -0.0068 -0.0093
## Insurance.Scheme_numeric Eligibility_numeric
## X -0.3470 NA
## Gender_numeric 0.0766 NA
## Age.at.Attendance 0.2576 NA
## Area.of.Residence_numeric -0.1020 NA
## addressDiff -0.0663 NA
## No.Cancels 0.0285 NA
## Referral.Source_numeric -0.0138 NA
## Clinic.Type_numeric -0.0439 NA
## Consultant_numeric -0.0252 NA
## Insurance.Scheme_numeric 1.0000 NA
## Eligibility_numeric NA 1
## Hospital.Catchment_numeric -0.0086 NA
## Booking.Type_numeric NA NA
## Rebooked.Indicator_numeric 0.0353 NA
## Cancellation.Group_numeric -0.0161 NA
## Reason.for.Cancellation_numeric 0.0428 NA
## appointmentDay_numeric -0.0166 NA
## appointmentMonthYear_numeric 0.0021 NA
## bookedDay_numeric -0.0045 NA
## bookedMonthYear_numeric -0.0116 NA
## daysDiff_AppointBooked 0.0523 NA
## Hospital.Catchment_numeric Booking.Type_numeric
## X -0.1315 NA
## Gender_numeric -0.0163 NA
## Age.at.Attendance -0.0535 NA
## Area.of.Residence_numeric -0.2117 NA
## addressDiff 0.0088 NA
## No.Cancels -0.1218 NA
## Referral.Source_numeric -0.0632 NA
## Clinic.Type_numeric -0.0958 NA
## Consultant_numeric -0.1450 NA
## Insurance.Scheme_numeric -0.0086 NA
## Eligibility_numeric NA NA
## Hospital.Catchment_numeric 1.0000 NA
## Booking.Type_numeric NA 1
## Rebooked.Indicator_numeric -0.0763 NA
## Cancellation.Group_numeric 0.0944 NA
## Reason.for.Cancellation_numeric -0.0987 NA
## appointmentDay_numeric 0.0848 NA
## appointmentMonthYear_numeric 0.0077 NA
## bookedDay_numeric 0.0079 NA
## bookedMonthYear_numeric 0.0391 NA
## daysDiff_AppointBooked 0.0207 NA
## Rebooked.Indicator_numeric
## X -0.0065
## Gender_numeric 0.0551
## Age.at.Attendance 0.0474
## Area.of.Residence_numeric 0.0766
## addressDiff -0.0652
## No.Cancels 0.5366
## Referral.Source_numeric -0.0930
## Clinic.Type_numeric -0.0803
## Consultant_numeric 0.1232
## Insurance.Scheme_numeric 0.0353
## Eligibility_numeric NA
## Hospital.Catchment_numeric -0.0763
## Booking.Type_numeric NA
## Rebooked.Indicator_numeric 1.0000
## Cancellation.Group_numeric -0.4347
## Reason.for.Cancellation_numeric 0.4609
## appointmentDay_numeric -0.0037
## appointmentMonthYear_numeric 0.0222
## bookedDay_numeric 0.0042
## bookedMonthYear_numeric -0.0372
## daysDiff_AppointBooked -0.0790
## Cancellation.Group_numeric
## X 0.0277
## Gender_numeric -0.0769
## Age.at.Attendance -0.1149
## Area.of.Residence_numeric -0.0832
## addressDiff 0.0513
## No.Cancels -0.7562
## Referral.Source_numeric -0.0431
## Clinic.Type_numeric -0.1088
## Consultant_numeric -0.1455
## Insurance.Scheme_numeric -0.0161
## Eligibility_numeric NA
## Hospital.Catchment_numeric 0.0944
## Booking.Type_numeric NA
## Rebooked.Indicator_numeric -0.4347
## Cancellation.Group_numeric 1.0000
## Reason.for.Cancellation_numeric -0.7861
## appointmentDay_numeric 0.1197
## appointmentMonthYear_numeric 0.0284
## bookedDay_numeric -0.0073
## bookedMonthYear_numeric 0.0745
## daysDiff_AppointBooked 0.0149
## Reason.for.Cancellation_numeric
## X -0.058
## Gender_numeric 0.100
## Age.at.Attendance 0.158
## Area.of.Residence_numeric 0.078
## addressDiff -0.057
## No.Cancels 0.844
## Referral.Source_numeric 0.041
## Clinic.Type_numeric 0.117
## Consultant_numeric 0.126
## Insurance.Scheme_numeric 0.043
## Eligibility_numeric NA
## Hospital.Catchment_numeric -0.099
## Booking.Type_numeric NA
## Rebooked.Indicator_numeric 0.461
## Cancellation.Group_numeric -0.786
## Reason.for.Cancellation_numeric 1.000
## appointmentDay_numeric -0.083
## appointmentMonthYear_numeric -0.036
## bookedDay_numeric 0.020
## bookedMonthYear_numeric -0.087
## daysDiff_AppointBooked 0.049
## appointmentDay_numeric
## X 0.0362
## Gender_numeric -0.0534
## Age.at.Attendance -0.1608
## Area.of.Residence_numeric -0.0667
## addressDiff 0.0120
## No.Cancels -0.0920
## Referral.Source_numeric -0.1269
## Clinic.Type_numeric 0.0851
## Consultant_numeric 0.0803
## Insurance.Scheme_numeric -0.0166
## Eligibility_numeric NA
## Hospital.Catchment_numeric 0.0848
## Booking.Type_numeric NA
## Rebooked.Indicator_numeric -0.0037
## Cancellation.Group_numeric 0.1197
## Reason.for.Cancellation_numeric -0.0827
## appointmentDay_numeric 1.0000
## appointmentMonthYear_numeric 0.0115
## bookedDay_numeric 0.0458
## bookedMonthYear_numeric 0.0226
## daysDiff_AppointBooked 0.0359
## appointmentMonthYear_numeric bookedDay_numeric
## X 3.0e-02 -0.0061
## Gender_numeric 2.5e-03 -0.0171
## Age.at.Attendance -9.3e-03 -0.0081
## Area.of.Residence_numeric -1.4e-03 -0.0211
## addressDiff -5.3e-04 -0.0015
## No.Cancels -2.5e-03 0.0138
## Referral.Source_numeric 7.4e-06 -0.0289
## Clinic.Type_numeric -4.3e-02 -0.0125
## Consultant_numeric -4.5e-03 0.0144
## Insurance.Scheme_numeric 2.1e-03 -0.0045
## Eligibility_numeric NA NA
## Hospital.Catchment_numeric 7.7e-03 0.0079
## Booking.Type_numeric NA NA
## Rebooked.Indicator_numeric 2.2e-02 0.0042
## Cancellation.Group_numeric 2.8e-02 -0.0073
## Reason.for.Cancellation_numeric -3.6e-02 0.0199
## appointmentDay_numeric 1.1e-02 0.0458
## appointmentMonthYear_numeric 1.0e+00 0.0149
## bookedDay_numeric 1.5e-02 1.0000
## bookedMonthYear_numeric 8.5e-02 -0.0759
## daysDiff_AppointBooked -1.3e-01 0.0524
## bookedMonthYear_numeric daysDiff_AppointBooked
## X 0.044 -0.1603
## Gender_numeric -0.016 -0.0261
## Age.at.Attendance -0.029 -0.0141
## Area.of.Residence_numeric -0.009 -0.0449
## addressDiff -0.017 0.0260
## No.Cancels -0.081 -0.0177
## Referral.Source_numeric -0.015 -0.0320
## Clinic.Type_numeric -0.064 -0.0068
## Consultant_numeric -0.098 -0.0093
## Insurance.Scheme_numeric -0.012 0.0523
## Eligibility_numeric NA NA
## Hospital.Catchment_numeric 0.039 0.0207
## Booking.Type_numeric NA NA
## Rebooked.Indicator_numeric -0.037 -0.0790
## Cancellation.Group_numeric 0.075 0.0149
## Reason.for.Cancellation_numeric -0.087 0.0492
## appointmentDay_numeric 0.023 0.0359
## appointmentMonthYear_numeric 0.085 -0.1298
## bookedDay_numeric -0.076 0.0524
## bookedMonthYear_numeric 1.000 -0.0675
## daysDiff_AppointBooked -0.067 1.0000library(corrplot)## Warning: package 'corrplot' was built under R version 4.3.2## corrplot 0.92 loadedcorrplot(cor(main_processed_cancel))
gg_cancellationGroup <- ggplot(main_processed,aes(x=Cancellation.Group)) +
labs(x = "Cancellation Group") +
scale_x_discrete(limits=c("Hospital","Patient","DNA","Validation")) +
geom_bar(colour="blue", fill="lightblue")
gg_cancellationGroup## Warning: Removed 56647 rows containing non-finite values (`stat_count()`).
gg_cancelReason <- ggplot(main_processed,aes(x=Reason.for.Cancellation_recode)) +
labs(x = "Reason for Cancellation") +
scale_x_discrete(limits=c("No show","By Patient","By Cslt/AN/Tech","By Hospital","By Covid","By Patient-health conditions"), guide = guide_axis(n.dodge = 2)) +
geom_bar(colour="blue", fill="lightblue")
gg_cancelReason## Warning: Removed 56647 rows containing non-finite values (`stat_count()`).
Logistic Regression model
Build baseline model of cancellations with predictors
- strong correlation between (Referral source and Booking type), (Clinic type and Booking type), (Consultant and Appointment day), (Consultant and Clinic code)
- moderate correlation between (Appointment day and Clinic code), (Clinic type and Clinic code), (Clinic type and Referral source), (Clinic type and No.Cancels), (Clinic type and Age)
- weak correlation between (Booking type and Age), (Booking type and Clinic code)
- Model 1: No.Cancels ~ Clinic.Type_numeric + Referral.Source_numeric + Consultant_numeric + Insurance.Scheme_numeric + Eligibility_numeric + Booking.Type_numeric + Hospital.Catchment_numeric + Rebooked.Indicator_numeric + Reason.for.Cancellation_numeric
- AIC: 14333
- AUC: 0.91
- nagelkerke R squared: 0.6
- Confusion matrix: accuracy (0.84), precision (0.32), recall (0.1), prevalence (0.23), detection rate (0.18)
- Model 2: No.Cancels ~ appointmentDay_numeric + appointmentMonthYear_numeric + bookedDay_numeric + bookedMonthYear_numeric + daysDiff_AppointBooked
- AIC: 26316
- AUC: 0.61
- nagelkerke R squared: 0.04
- Confusion matrix: accuracy (0.5), precision (0.77), recall (1), prevalence (0.23), detection rate (0)
- Model 3: No.Cancels ~ Gender_numeric + Age.at.Attendance + Area.of.Residence_numeric + addressDiff
- AIC: 26518
- AUC: 0.59
- nagelkerke R squared: 0.028
- Confusion matrix: accuracy (0.5), precision (0.997), recall (0.77), prevalence (0.23), detection rate (0.002)
- Model: No.Cancels ~ Gender_numeric + Age.at.Attendance + Area.of.Residence_numeric + addressDiff + Referral.Source_numeric + Clinic.Type_numeric + Consultant_numeric + Insurance.Scheme_numeric + Eligibility_numeric + Hospital.Catchment_numeric + Booking.Type_numeric + appointmentDay_numeric + appointmentMonthYear_numeric + bookedDay_numeric + bookedMonthYear_numeric
- AIC: 14031
- AUC: 0.91
- nagelkerke R squared: 0.61
- Confusion matrix: accuracy (0.81), precision (0.92), recall (0.88), prevalence (0.23), detection rate (0.17)
- AIC the smallest AIC provides the best model
- AUC (area under the ROC curve) the closer to 1 the more correct predictions
- predict: predict the values based on the previous data behaviors and thus by fitting that data to the model
- plogis: Logistic Cumulative Distribution Function
- Cox and Snell R square: Analysis_Survival_Cox Regression. The coefficients in a Cox regression relate to hazard; a positive coefficient indicates a worse prognosis and a negative coefficient indicates a protective effect of the variable with which it is associated
- nagelkerke: a measure of goodness of fit in logistic regression analysis, a modification of the Cox and Snell R Square. Ranges [0,1], a common rule of thumb (<= 0.2: weak relationship, 0.2-0.4: moderate, >= 0.4: strong relationship).
- confusionMatrix: matrix between actual and predicted values
- vif = 1/(1-Ri^2) = 1/tolerance. Vif >4 or tolearance <0.25: multicollinearity might exist; vif >10 or tolerance <0.1: signigicant multicollinearity that needs to be corrected. Vif interpret if model has problems estimating the coefficient
variables need to be recoded as numeric to run any regression
Build baseline model of new attendances with predictors
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