describe(sp)## sp
##
## 24 Variables 188 Observations
## --------------------------------------------------------------------------------
## Sex
## n missing distinct
## 188 0 2
##
## Value Female Male
## Frequency 102 86
## Proportion 0.543 0.457
## --------------------------------------------------------------------------------
## HAddress
## n missing distinct
## 188 0 43
##
## lowest : Abuyog Alangalang Albuera Anahawan Bato
## highest: Surigao del sur Tacloban Tongonan Zone 21 Zone 5
## --------------------------------------------------------------------------------
## Caddress..1.In.campus.
## n missing distinct Info Sum Mean Gmd
## 188 0 2 0.614 54 0.2872 0.4117
##
## --------------------------------------------------------------------------------
## Hsize..1.above7.
## n missing distinct Info Sum Mean Gmd
## 188 0 2 0.743 85 0.4521 0.4981
##
## --------------------------------------------------------------------------------
## SocialCateg..1.memberofclassifiedcateg.
## n missing distinct Info Sum Mean Gmd
## 188 0 2 0.738 82 0.4362 0.4945
##
## --------------------------------------------------------------------------------
## AvMonFamInc..1.above9101.
## n missing distinct Info Sum Mean Gmd
## 188 0 2 0.728 78 0.4149 0.4881
##
## --------------------------------------------------------------------------------
## Meduc..1.colgrad.
## n missing distinct Info Sum Mean Gmd
## 188 0 2 0.22 15 0.07979 0.1476
##
## --------------------------------------------------------------------------------
## Feduc..1.colgrad.
## n missing distinct Info Sum Mean Gmd
## 188 0 2 0.165 11 0.05851 0.1108
##
## --------------------------------------------------------------------------------
## FirstGenCol..1.YES.
## n missing distinct Info Sum Mean Gmd
## 188 0 2 0.746 87 0.4628 0.4999
##
## --------------------------------------------------------------------------------
## Hstype..1.Public.
## n missing distinct Info Sum Mean Gmd
## 188 0 2 0.26 170 0.9043 0.1741
##
## --------------------------------------------------------------------------------
## Curriculum..1.new.
## n missing distinct Info Sum Mean Gmd
## 188 0 2 0.683 122 0.6489 0.4581
##
## --------------------------------------------------------------------------------
## Age
## n missing distinct Info Mean Gmd .05 .10
## 188 0 11 0.891 23.54 1.556 22.00 22.00
## .25 .50 .75 .90 .95
## 23.00 23.00 24.00 25.00 26.65
##
## lowest : 21 22 23 24 25, highest: 27 28 29 30 33
##
## Value 21 22 23 24 25 26 27 28 29 30 33
## Frequency 5 31 87 32 18 5 3 1 3 2 1
## Proportion 0.027 0.165 0.463 0.170 0.096 0.027 0.016 0.005 0.016 0.011 0.005
## --------------------------------------------------------------------------------
## GPA.categ..1.90.100.
## n missing distinct Info Sum Mean Gmd
## 188 0 2 0.743 103 0.5479 0.4981
##
## --------------------------------------------------------------------------------
## GPA.3categ
## n missing distinct
## 188 0 3
##
## Value (85 - 89) above 90 below 85
## Frequency 50 103 35
## Proportion 0.266 0.548 0.186
## --------------------------------------------------------------------------------
## Program
## n missing distinct
## 188 0 28
##
## lowest : Agribusiness Agricultural & Biosystems Engineering Agricultural Economics Agricultural Engineering Agriculture
## highest: Mechanical Engineering Physical Education Secondary Education Statistics Tourism Management
## --------------------------------------------------------------------------------
## Programpercol
## n missing distinct
## 188 0 6
##
## lowest : CAFS CAS CET CFES CME , highest: CAS CET CFES CME CoEd
##
## Value CAFS CAS CET CFES CME CoEd
## Frequency 43 10 30 6 56 43
## Proportion 0.229 0.053 0.160 0.032 0.298 0.229
## --------------------------------------------------------------------------------
## STEM..1.YES.
## n missing distinct Info Sum Mean Gmd
## 188 0 2 0.493 39 0.2074 0.3306
##
## --------------------------------------------------------------------------------
## Grad..1.yes.
## n missing distinct Info Sum Mean Gmd
## 188 0 2 0.709 116 0.617 0.4751
##
## --------------------------------------------------------------------------------
## YrLevel
## n missing distinct
## 188 0 3
##
## Value 4th year 5th year graduate
## Frequency 66 6 116
## Proportion 0.351 0.032 0.617
## --------------------------------------------------------------------------------
## Sstatus..1.regular.
## n missing distinct Info Sum Mean Gmd
## 188 0 2 0.705 117 0.6223 0.4726
##
## --------------------------------------------------------------------------------
## ProgramChoice
## n missing distinct
## 188 0 3
##
## Value 1st choice 2nd choice 3rd choice
## Frequency 87 64 37
## Proportion 0.463 0.340 0.197
## --------------------------------------------------------------------------------
## GWA
## n missing distinct
## 188 0 6
##
## lowest : Excellent (above 1.5) Failed (below 3.0) INC Pass (3.0 - 2.5) Satisfactory (2.6 - 2.1)
## highest: Failed (below 3.0) INC Pass (3.0 - 2.5) Satisfactory (2.6 - 2.1) Very Good (2.0 - 1.5)
##
## Excellent (above 1.5) (10, 0.053), Failed (below 3.0) (1, 0.005), INC (1,
## 0.005), Pass (3.0 - 2.5) (42, 0.223), Satisfactory (2.6 - 2.1) (63, 0.335),
## Very Good (2.0 - 1.5) (71, 0.378)
## --------------------------------------------------------------------------------
## AvAcadLoadpersem..1.21.30.
## n missing distinct Info Sum Mean Gmd
## 188 0 2 0.64 130 0.6915 0.4289
##
## --------------------------------------------------------------------------------
## Studytime..1.above7.
## n missing distinct Info Sum Mean Gmd
## 188 0 2 0.742 104 0.5532 0.497
##
## --------------------------------------------------------------------------------#sex
#sex
summarytools::freq(as.factor(sp$Sex),report.nas = F, totals = F, headings = F)##
## Freq % % Cum.
## ------------ ------ ------- --------
## Female 102 54.26 54.26
## Male 86 45.74 100.00table(Sex = sp$Sex, Grad = sp$Grad..1.yes.)## Grad
## Sex 0 1
## Female 36 66
## Male 36 50#campus address
#campus address (1 = n campus)
summarytools::freq(as.factor(sp$Caddress..1.In.campus.),report.nas = F, totals = F, headings = F)##
## Freq % % Cum.
## -------- ------ ------- --------
## 0 134 71.28 71.28
## 1 54 28.72 100.00table(CampusAddress = sp$Caddress..1.In.campus., Grad = sp$Grad..1.yes.)## Grad
## CampusAddress 0 1
## 0 54 80
## 1 18 36#Household size
#Household size (1 = above 7)
summarytools::freq(as.factor(sp$Hsize..1.above7.),report.nas = F, totals = F, headings = F)##
## Freq % % Cum.
## -------- ------ ------- --------
## 0 103 54.79 54.79
## 1 85 45.21 100.00#social category
#social category (1 = member of the classified categories)
summarytools::freq(as.factor(sp$SocialCateg..1.memberofclassifiedcateg.),report.nas = F, totals = F, headings = F)##
## Freq % % Cum.
## -------- ------ ------- --------
## 0 106 56.38 56.38
## 1 82 43.62 100.00#average monthly family income
#average monthly family income (1 = above php 9,100)
summarytools::freq(as.factor(sp$AvMonFamInc..1.above9101.),report.nas = F, totals = F, headings = F)##
## Freq % % Cum.
## -------- ------ ------- --------
## 0 110 58.51 58.51
## 1 78 41.49 100.00#mothers education
#mothers education (1 = college grad)
summarytools::freq(as.factor(sp$Meduc..1.colgrad.),report.nas = F, totals = F, headings = F)##
## Freq % % Cum.
## -------- ------ ------- --------
## 0 173 92.02 92.02
## 1 15 7.98 100.00#fathers education
#fathers education (1= college grad)
summarytools::freq(as.factor(sp$Feduc..1.colgrad.),report.nas = F, totals = F, headings = F)##
## Freq % % Cum.
## -------- ------ ------- --------
## 0 177 94.15 94.15
## 1 11 5.85 100.00#first generation college
#first generation college (1 = yes)
summarytools::freq(as.factor(sp$FirstGenCol..1.YES.),report.nas = F, totals = F, headings = F)##
## Freq % % Cum.
## -------- ------ ------- --------
## 0 101 53.72 53.72
## 1 87 46.28 100.00#high school type
#high school type (1 = public)
summarytools::freq(as.factor(sp$Hstype..1.Public.),report.nas = F, totals = F, headings = F)##
## Freq % % Cum.
## -------- ------ ------- --------
## 0 18 9.57 9.57
## 1 170 90.43 100.00#curriculum
#curriculum (1= new)
summarytools::freq(as.factor(sp$Curriculum..1.new.),report.nas = F, totals = F, headings = F)##
## Freq % % Cum.
## -------- ------ ------- --------
## 0 66 35.11 35.11
## 1 122 64.89 100.00#age
#age
summarytools::freq(as.factor(sp$Age),report.nas = F, totals = F, headings = F)##
## Freq % % Cum.
## -------- ------ ------- --------
## 21 5 2.66 2.66
## 22 31 16.49 19.15
## 23 87 46.28 65.43
## 24 32 17.02 82.45
## 25 18 9.57 92.02
## 26 5 2.66 94.68
## 27 3 1.60 96.28
## 28 1 0.53 96.81
## 29 3 1.60 98.40
## 30 2 1.06 99.47
## 33 1 0.53 100.00#high school gpa
#high school gpa (2 categories, 1= 90-100)
summarytools::freq(as.factor(sp$GPA.categ..1.90.100.),report.nas = F, totals = F, headings = F)##
## Freq % % Cum.
## -------- ------ ------- --------
## 0 85 45.21 45.21
## 1 103 54.79 100.00#high school gpa
#high school gpa (3 categories)
summarytools::freq(as.factor(sp$GPA.3categ),report.nas = F, totals = F, headings = F)##
## Freq % % Cum.
## --------------- ------ ------- --------
## (85 - 89) 50 26.60 26.60
## above 90 103 54.79 81.38
## below 85 35 18.62 100.00#degree program
#degree program
summarytools::freq(as.factor(sp$Program),report.nas = F, totals = F, headings = F)##
## Freq % % Cum.
## ------------------------------------------- ------ ------- --------
## Agribusiness 46 24.47 24.47
## Agricultural & Biosystems Engineering 2 1.06 25.53
## Agricultural Economics 1 0.53 26.06
## Agricultural Engineering 2 1.06 27.13
## Agriculture 26 13.83 40.96
## Animal Science 12 6.38 47.34
## Biology 2 1.06 48.40
## Biotechnology 1 0.53 48.94
## Chemistry 2 1.06 50.00
## Civil Engineering 8 4.26 54.26
## Computer Science 3 1.60 55.85
## Development Communication 2 1.06 56.91
## Development Education 3 1.60 58.51
## Elementary Education 14 7.45 65.96
## English Language Studies 1 0.53 66.49
## Environmental Science 3 1.60 68.09
## Food Technology 1 0.53 68.62
## Forestry 3 1.60 70.21
## Geodetic Engineering 3 1.60 71.81
## Hospitality Management 3 1.60 73.40
## Hotel Managament 2 1.06 74.47
## Hotel Restaurant & Tourism Managament 3 1.60 76.06
## Marine Biology 1 0.53 76.60
## Mechanical Engineering 11 5.85 82.45
## Physical Education 8 4.26 86.70
## Secondary Education 21 11.17 97.87
## Statistics· 3 1.60 99.47
## Tourism Management 1 0.53 100.00#program per college
#program per college
summarytools::freq(as.factor(sp$Programpercol),report.nas = F, totals = F, headings = F)##
## Freq % % Cum.
## ---------- ------ ------- --------
## CAFS 43 22.87 22.87
## CAS 10 5.32 28.19
## CET 30 15.96 44.15
## CFES 6 3.19 47.34
## CME 56 29.79 77.13
## CoEd 43 22.87 100.00#stem course
#stem course (1= yes)
summarytools::freq(as.factor(sp$STEM..1.YES.),report.nas = F, totals = F, headings = F)##
## Freq % % Cum.
## -------- ------ ------- --------
## 0 149 79.26 79.26
## 1 39 20.74 100.00#graduate
#graduate (1= yes)
summarytools::freq(as.factor(sp$Grad..1.yes.),report.nas = F, totals = F, headings = F)##
## Freq % % Cum.
## -------- ------ ------- --------
## 0 72 38.30 38.30
## 1 116 61.70 100.00#year level
#yr level
summarytools::freq(as.factor(sp$YrLevel),report.nas = F, totals = F, headings = F)##
## Freq % % Cum.
## -------------- ------ ------- --------
## 4th year 66 35.11 35.11
## 5th year 6 3.19 38.30
## graduate 116 61.70 100.00#student status
#student status (1= regular)
summarytools::freq(as.factor(sp$Sstatus..1.regular.),report.nas = F, totals = F, headings = F)##
## Freq % % Cum.
## -------- ------ ------- --------
## 0 71 37.77 37.77
## 1 117 62.23 100.00#program choice
#program choice
summarytools::freq(as.factor(sp$ProgramChoice),report.nas = F, totals = F, headings = F)##
## Freq % % Cum.
## ---------------- ------ ------- --------
## 1st choice 87 46.28 46.28
## 2nd choice 64 34.04 80.32
## 3rd choice 37 19.68 100.00#GWA
#GWA
summarytools::freq(as.factor(sp$GWA),report.nas = F, totals = F, headings = F)##
## Freq % % Cum.
## ------------------------------ ------ ------- --------
## Excellent (above 1.5) 10 5.32 5.32
## Failed (below 3.0) 1 0.53 5.85
## INC 1 0.53 6.38
## Pass (3.0 - 2.5) 42 22.34 28.72
## Satisfactory (2.6 - 2.1) 63 33.51 62.23
## Very Good (2.0 - 1.5) 71 37.77 100.00#average academic load per sem
#average academic load per sem
summarytools::freq(as.factor(sp$AvAcadLoadpersem..1.21.30.),report.nas = F, totals = F, headings = F)##
## Freq % % Cum.
## -------- ------ ------- --------
## 0 58 30.85 30.85
## 1 130 69.15 100.00#study time
#study time
summarytools::freq(as.factor(sp$Studytime..1.above7.),report.nas = F, totals = F, headings = F)##
## Freq % % Cum.
## -------- ------ ------- --------
## 0 84 44.68 44.68
## 1 104 55.32 100.00