Engineering Draft1
2022-04-08
R Markdown
Data Read in. Setwd() will need to be updated with the r path to the data on a local computer. For information on how to obtain the correct path, please contact the PASS team.
setwd("N:\\AA\\CARS\\CARS-Shares\\PASSData\\PASS\\JMU Programs and Majors\\Engineering (BS)\\2021-2022\\Data Analysis 2022\\")
getwd()## [1] "N:/AA/CARS/CARS-Shares/PASSData/PASS/JMU Programs and Majors/Engineering (BS)/2021-2022/Data Analysis 2022"library(qualtRics)
library(psych)
All_blockdata<-read_survey ("Primary Blocks1Engineering Assessment Day Data.csv")##
## -- Column specification --------------------------------------------------------
## cols(
## .default = col_double(),
## StartDate = col_character(),
## EndDate = col_character(),
## IPAddress = col_character(),
## RecordedDate = col_character(),
## ResponseId = col_character(),
## RecipientLastName = col_logical(),
## RecipientFirstName = col_logical(),
## RecipientEmail = col_character(),
## ExternalReference = col_logical(),
## DistributionChannel = col_character(),
## UserLanguage = col_character(),
## Q49 = col_number(),
## Q53 = col_number(),
## Q55 = col_number(),
## Q56 = col_number(),
## Q57 = col_number(),
## Q62 = col_number(),
## Q63 = col_number(),
## Q113 = col_character(),
## Q115 = col_character()
## # ... with 5 more columns
## )
## i Use `spec()` for the full column specifications.Primary_blockdata2<-read_survey ("PrimaryBlockData3.csv")##
## -- Column specification --------------------------------------------------------
## cols(
## .default = col_double(),
## StartDate = col_character(),
## Q49 = col_number(),
## Q62 = col_number(),
## Q63 = col_number(),
## Q113 = col_character(),
## Q115 = col_character(),
## Q127 = col_number()
## )
## i Use `spec()` for the full column specifications.Block Data(2) is a subset of the complete 2022 Assesssment data. This data includes duration, Q128 (course), primary block questions (Q1,Q2, Q3, Q7) as well as the total score calculated for each of the primary blocks. Random blocks are not included in this analysis. SC1= score for block 1, SC2= scores for block 2, etc.
summary(Primary_blockdata2)## StartDate Duration (in seconds) Q128 Q1
## Length:255 Min. : 6.0 Min. :1.000 Min. :1.000
## Class :character 1st Qu.: 885.5 1st Qu.:1.000 1st Qu.:3.000
## Mode :character Median : 1955.0 Median :2.000 Median :4.000
## Mean : 5793.1 Mean :2.116 Mean :3.373
## 3rd Qu.: 3552.0 3rd Qu.:3.000 3rd Qu.:4.000
## Max. :413441.0 Max. :4.000 Max. :6.000
## NA's :5 NA's :11
## Q2 Q3 Q7 Q8
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:2.000 1st Qu.:3.000 1st Qu.:4.000 1st Qu.:4.000
## Median :3.000 Median :5.000 Median :5.000 Median :5.000
## Mean :3.107 Mean :4.416 Mean :4.603 Mean :4.668
## 3rd Qu.:4.000 3rd Qu.:6.000 3rd Qu.:6.000 3rd Qu.:6.000
## Max. :5.000 Max. :8.000 Max. :7.000 Max. :7.000
## NA's :31 NA's :22 NA's :36 NA's :26
## Q11 Q12 Q15 Q16
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.000
## Median :4.000 Median :2.000 Median :3.000 Median :1.000
## Mean :3.792 Mean :2.137 Mean :2.291 Mean :2.055
## 3rd Qu.:5.000 3rd Qu.:3.000 3rd Qu.:3.000 3rd Qu.:3.000
## Max. :6.000 Max. :4.000 Max. :4.000 Max. :4.000
## NA's :24 NA's :22 NA's :18 NA's :18
## Q17 Q18 Q19 Q20
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:2.000 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.000
## Median :3.000 Median :2.000 Median :2.000 Median :2.000
## Mean :2.682 Mean :2.171 Mean :1.966 Mean :2.013
## 3rd Qu.:3.000 3rd Qu.:3.000 3rd Qu.:3.000 3rd Qu.:3.000
## Max. :4.000 Max. :4.000 Max. :3.000 Max. :3.000
## NA's :19 NA's :21 NA's :21 NA's :21
## Q21 Q40 Q41 Q42
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:1.000
## Median :3.000 Median :3.000 Median :2.000 Median :2.000
## Mean :3.038 Mean :2.769 Mean :2.755 Mean :2.414
## 3rd Qu.:5.000 3rd Qu.:3.000 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000
## NA's :19 NA's :26 NA's :22 NA's :28
## Q43 Q48 Q49 Q50
## Min. :1.000 Min. :1.000 Min. : 1.00 Min. :1.000
## 1st Qu.:2.000 1st Qu.:2.000 1st Qu.: 23.00 1st Qu.:1.000
## Median :2.000 Median :3.000 Median : 23.00 Median :1.000
## Mean :2.699 Mean :3.293 Mean : 65.54 Mean :1.335
## 3rd Qu.:4.000 3rd Qu.:5.000 3rd Qu.: 123.00 3rd Qu.:1.000
## Max. :5.000 Max. :5.000 Max. :1234.00 Max. :4.000
## NA's :46 NA's :23 NA's :22 NA's :22
## Q58 Q59 Q62 Q63
## Min. :1.000 Min. :1.000 Min. :2.000e+00 Min. : 1.0
## 1st Qu.:2.000 1st Qu.:3.000 1st Qu.:7.810e+03 1st Qu.: 13.0
## Median :2.000 Median :3.000 Median :7.813e+05 Median : 123.0
## Mean :2.102 Mean :2.811 Mean :1.060e+18 Mean : 782.3
## 3rd Qu.:2.000 3rd Qu.:3.000 3rd Qu.:8.101e+08 3rd Qu.: 1234.0
## Max. :4.000 Max. :4.000 Max. :1.235e+20 Max. :12345.0
## NA's :30 NA's :22 NA's :22 NA's :23
## Q66 Q94 Q95 Q96
## Min. :1.000 Min. :1.000 Min. :1.00 Min. :1.000
## 1st Qu.:3.000 1st Qu.:2.000 1st Qu.:2.00 1st Qu.:2.000
## Median :3.000 Median :2.000 Median :2.00 Median :4.000
## Mean :2.966 Mean :2.387 Mean :2.23 Mean :3.239
## 3rd Qu.:4.000 3rd Qu.:3.000 3rd Qu.:2.75 3rd Qu.:4.000
## Max. :4.000 Max. :4.000 Max. :4.00 Max. :4.000
## NA's :22 NA's :25 NA's :25 NA's :25
## Q113 Q115 Q127 SC1
## Length:255 Length:255 Min. : 1.0 Min. :0.000
## Class :character Class :character 1st Qu.: 4.0 1st Qu.:0.000
## Mode :character Mode :character Median : 23.0 Median :1.000
## Mean : 292.4 Mean :0.949
## 3rd Qu.: 134.0 3rd Qu.:1.000
## Max. :1234.0 Max. :3.000
## NA's :41
## SC2 SC3 SC4 SC5
## Min. :0.0000 Min. :0.0000 Min. :0.000 Min. :0.000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:1.000 1st Qu.:0.000
## Median :0.0000 Median :0.0000 Median :3.000 Median :1.000
## Mean :0.3059 Mean :0.4588 Mean :2.945 Mean :1.075
## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:4.000 3rd Qu.:2.000
## Max. :2.0000 Max. :2.0000 Max. :7.000 Max. :3.000
##
## SC6 SC7 SC8 SC9
## Min. :0.000 Min. :0.0000 Min. :0.000 Min. :0.0000
## 1st Qu.:2.000 1st Qu.:1.0000 1st Qu.:3.000 1st Qu.:0.0000
## Median :3.000 Median :1.0000 Median :5.000 Median :1.0000
## Mean :2.431 Mean :0.7529 Mean :4.627 Mean :0.9451
## 3rd Qu.:3.000 3rd Qu.:1.0000 3rd Qu.:6.000 3rd Qu.:1.0000
## Max. :4.000 Max. :1.0000 Max. :9.000 Max. :2.0000
##
## SC10 SC11
## Min. :0.000 Min. : 0.00
## 1st Qu.:0.000 1st Qu.: 7.95
## Median :2.000 Median :11.70
## Mean :1.486 Mean :11.30
## 3rd Qu.:3.000 3rd Qu.:15.28
## Max. :3.000 Max. :27.00
## describe(Primary_blockdata2)## vars n mean sd median trimmed
## StartDate* 1 255 1.215600e+02 6.838000e+01 121.0 1.220600e+02
## Duration (in seconds) 2 255 5.793120e+03 2.989707e+04 1955.0 2.264670e+03
## Q128 3 250 2.120000e+00 1.100000e+00 2.0 2.020000e+00
## Q1 4 244 3.370000e+00 1.190000e+00 4.0 3.490000e+00
## Q2 5 224 3.110000e+00 1.040000e+00 3.0 3.160000e+00
## Q3 6 233 4.420000e+00 1.820000e+00 5.0 4.420000e+00
## Q7 7 219 4.600000e+00 1.710000e+00 5.0 4.710000e+00
## Q8 8 229 4.670000e+00 1.710000e+00 5.0 4.770000e+00
## Q11 9 231 3.790000e+00 1.160000e+00 4.0 3.880000e+00
## Q12 10 233 2.140000e+00 9.900000e-01 2.0 2.050000e+00
## Q15 11 237 2.290000e+00 9.800000e-01 3.0 2.300000e+00
## Q16 12 237 2.050000e+00 1.150000e+00 1.0 1.950000e+00
## Q17 13 236 2.680000e+00 8.800000e-01 3.0 2.730000e+00
## Q18 14 234 2.170000e+00 9.000000e-01 2.0 2.120000e+00
## Q19 15 234 1.970000e+00 9.100000e-01 2.0 1.960000e+00
## Q20 16 234 2.010000e+00 9.400000e-01 2.0 2.020000e+00
## Q21 17 236 3.040000e+00 1.400000e+00 3.0 3.050000e+00
## Q40 18 229 2.770000e+00 8.600000e-01 3.0 2.730000e+00
## Q41 19 233 2.760000e+00 1.200000e+00 2.0 2.700000e+00
## Q42 20 227 2.410000e+00 1.430000e+00 2.0 2.310000e+00
## Q43 21 209 2.700000e+00 1.340000e+00 2.0 2.630000e+00
## Q48 22 232 3.290000e+00 1.310000e+00 3.0 3.310000e+00
## Q49 23 233 6.554000e+01 1.626400e+02 23.0 4.078000e+01
## Q50 24 233 1.330000e+00 7.400000e-01 1.0 1.130000e+00
## Q58 25 225 2.100000e+00 4.800000e-01 2.0 2.010000e+00
## Q59 26 233 2.810000e+00 5.800000e-01 3.0 2.940000e+00
## Q62 27 233 1.060069e+18 1.141334e+19 781315.0 1.500878e+10
## Q63 28 232 7.823400e+02 2.247770e+03 123.0 3.427800e+02
## Q66 29 233 2.970000e+00 9.800000e-01 3.0 3.080000e+00
## Q94 30 230 2.390000e+00 7.300000e-01 2.0 2.430000e+00
## Q95 31 230 2.230000e+00 8.300000e-01 2.0 2.160000e+00
## Q96 32 230 3.240000e+00 1.100000e+00 4.0 3.420000e+00
## Q113* 33 178 8.638000e+01 4.958000e+01 85.5 8.623000e+01
## Q115* 34 177 8.549000e+01 4.945000e+01 84.0 8.525000e+01
## Q127 35 214 2.923500e+02 4.828400e+02 23.0 2.129500e+02
## SC1 36 255 9.500000e-01 7.600000e-01 1.0 9.200000e-01
## SC2 37 255 3.100000e-01 5.100000e-01 0.0 2.300000e-01
## SC3 38 255 4.600000e-01 6.000000e-01 0.0 3.800000e-01
## SC4 39 255 2.950000e+00 2.030000e+00 3.0 2.880000e+00
## SC5 40 255 1.070000e+00 9.500000e-01 1.0 9.800000e-01
## SC6 41 255 2.430000e+00 1.160000e+00 3.0 2.540000e+00
## SC7 42 255 7.500000e-01 4.300000e-01 1.0 8.100000e-01
## SC8 43 255 4.630000e+00 2.410000e+00 5.0 4.750000e+00
## SC9 44 255 9.500000e-01 7.300000e-01 1.0 9.300000e-01
## SC10 45 255 1.490000e+00 1.150000e+00 2.0 1.480000e+00
## SC11 46 255 1.130000e+01 5.180000e+00 11.7 1.155000e+01
## mad min max range skew kurtosis
## StartDate* 88.96 1 2.380000e+02 2.370000e+02 -0.04 -1.22
## Duration (in seconds) 1802.84 6 4.134410e+05 4.134350e+05 11.30 140.11
## Q128 1.48 1 4.000000e+00 3.000000e+00 0.52 -1.09
## Q1 0.00 1 6.000000e+00 5.000000e+00 -0.70 -0.04
## Q2 1.48 1 5.000000e+00 4.000000e+00 -0.33 -0.55
## Q3 1.48 1 8.000000e+00 7.000000e+00 -0.03 -0.81
## Q7 1.48 1 7.000000e+00 6.000000e+00 -0.47 -0.60
## Q8 1.48 1 7.000000e+00 6.000000e+00 -0.59 -0.70
## Q11 1.48 1 6.000000e+00 5.000000e+00 -0.54 -0.16
## Q12 1.48 1 4.000000e+00 3.000000e+00 0.65 -0.57
## Q15 0.00 1 4.000000e+00 3.000000e+00 -0.31 -1.42
## Q16 0.00 1 4.000000e+00 3.000000e+00 0.39 -1.47
## Q17 0.00 1 4.000000e+00 3.000000e+00 -0.77 -0.20
## Q18 1.48 1 4.000000e+00 3.000000e+00 0.27 -0.79
## Q19 1.48 1 3.000000e+00 2.000000e+00 0.07 -1.80
## Q20 1.48 1 3.000000e+00 2.000000e+00 -0.03 -1.87
## Q21 1.48 1 5.000000e+00 4.000000e+00 0.19 -1.15
## Q40 1.48 1 5.000000e+00 4.000000e+00 0.34 0.19
## Q41 1.48 1 5.000000e+00 4.000000e+00 0.49 -0.97
## Q42 1.48 1 5.000000e+00 4.000000e+00 0.32 -1.45
## Q43 1.48 1 5.000000e+00 4.000000e+00 0.47 -0.96
## Q48 1.48 1 5.000000e+00 4.000000e+00 0.01 -1.38
## Q49 14.83 1 1.234000e+03 1.233000e+03 6.37 42.76
## Q50 0.00 1 4.000000e+00 3.000000e+00 2.22 4.05
## Q58 0.00 1 4.000000e+00 3.000000e+00 2.03 6.88
## Q59 0.00 1 4.000000e+00 3.000000e+00 -1.96 3.98
## Q62 1158371.69 2 1.234568e+20 1.234568e+20 10.59 110.53
## Q63 166.05 1 1.234500e+04 1.234400e+04 4.67 21.15
## Q66 1.48 1 4.000000e+00 3.000000e+00 -0.80 -0.31
## Q94 1.48 1 4.000000e+00 3.000000e+00 -0.12 -0.40
## Q95 0.00 1 4.000000e+00 3.000000e+00 0.77 0.16
## Q96 0.00 1 4.000000e+00 3.000000e+00 -1.05 -0.49
## Q113* 62.27 1 1.730000e+02 1.720000e+02 0.03 -1.19
## Q115* 62.27 1 1.720000e+02 1.710000e+02 0.05 -1.21
## Q127 32.62 1 1.234000e+03 1.233000e+03 1.41 0.04
## SC1 1.48 0 3.000000e+00 3.000000e+00 0.24 -0.83
## SC2 0.00 0 2.000000e+00 2.000000e+00 1.36 0.84
## SC3 0.00 0 2.000000e+00 2.000000e+00 0.92 -0.17
## SC4 2.97 0 7.000000e+00 7.000000e+00 0.16 -0.97
## SC5 1.48 0 3.000000e+00 3.000000e+00 0.51 -0.71
## SC6 1.48 0 4.000000e+00 4.000000e+00 -0.78 -0.32
## SC7 0.00 0 1.000000e+00 1.000000e+00 -1.17 -0.64
## SC8 2.97 0 9.000000e+00 9.000000e+00 -0.39 -0.73
## SC9 1.48 0 2.000000e+00 2.000000e+00 0.08 -1.13
## SC10 1.48 0 3.000000e+00 3.000000e+00 -0.01 -1.43
## SC11 5.56 0 2.700000e+01 2.700000e+01 -0.30 -0.30
## se
## StartDate* 4.280000e+00
## Duration (in seconds) 1.872230e+03
## Q128 7.000000e-02
## Q1 8.000000e-02
## Q2 7.000000e-02
## Q3 1.200000e-01
## Q7 1.200000e-01
## Q8 1.100000e-01
## Q11 8.000000e-02
## Q12 6.000000e-02
## Q15 6.000000e-02
## Q16 7.000000e-02
## Q17 6.000000e-02
## Q18 6.000000e-02
## Q19 6.000000e-02
## Q20 6.000000e-02
## Q21 9.000000e-02
## Q40 6.000000e-02
## Q41 8.000000e-02
## Q42 9.000000e-02
## Q43 9.000000e-02
## Q48 9.000000e-02
## Q49 1.065000e+01
## Q50 5.000000e-02
## Q58 3.000000e-02
## Q59 4.000000e-02
## Q62 7.477128e+17
## Q63 1.475700e+02
## Q66 6.000000e-02
## Q94 5.000000e-02
## Q95 5.000000e-02
## Q96 7.000000e-02
## Q113* 3.720000e+00
## Q115* 3.720000e+00
## Q127 3.301000e+01
## SC1 5.000000e-02
## SC2 3.000000e-02
## SC3 4.000000e-02
## SC4 1.300000e-01
## SC5 6.000000e-02
## SC6 7.000000e-02
## SC7 3.000000e-02
## SC8 1.500000e-01
## SC9 5.000000e-02
## SC10 7.000000e-02
## SC11 3.200000e-01attach(Primary_blockdata2)psych::describeBy(Primary_blockdata2[,c("SC1", "SC2", "SC3", "SC4", "SC5", "SC6", "SC7", "SC8", "SC9", "SC10", "SC11")], group=Q128)##
## Descriptive statistics by group
## group: 1
## vars n mean sd median trimmed mad min max range skew kurtosis se
## SC1 1 96 0.60 0.57 1.00 0.58 0.00 0 2.00 2.00 0.26 -0.84 0.06
## SC2 2 96 0.33 0.54 0.00 0.26 0.00 0 2.00 2.00 1.29 0.66 0.05
## SC3 3 96 0.47 0.61 0.00 0.38 0.00 0 2.00 2.00 0.92 -0.20 0.06
## SC4 4 96 2.49 2.02 2.00 2.33 1.48 0 7.00 7.00 0.52 -0.75 0.21
## SC5 5 96 0.74 0.77 1.00 0.65 1.48 0 3.00 3.00 0.75 -0.12 0.08
## SC6 6 96 2.28 1.08 2.50 2.32 0.74 0 4.00 4.00 -0.47 -0.56 0.11
## SC7 7 96 0.66 0.48 1.00 0.69 0.00 0 1.00 1.00 -0.65 -1.60 0.05
## SC8 8 96 4.31 2.16 5.00 4.35 1.48 0 8.00 8.00 -0.25 -0.69 0.22
## SC9 9 96 0.86 0.69 1.00 0.83 0.00 0 2.00 2.00 0.18 -0.93 0.07
## SC10 10 96 1.38 1.12 1.00 1.35 1.48 0 3.00 3.00 0.18 -1.35 0.11
## SC11 11 96 9.75 4.08 9.75 9.83 3.52 0 18.25 18.25 -0.27 0.13 0.42
## ------------------------------------------------------------
## group: 2
## vars n mean sd median trimmed mad min max range skew kurtosis se
## SC1 1 70 1.11 0.79 1.00 1.14 1.48 0 2.0 2.0 -0.20 -1.40 0.09
## SC2 2 70 0.27 0.51 0.00 0.18 0.00 0 2.0 2.0 1.64 1.78 0.06
## SC3 3 70 0.36 0.54 0.00 0.29 0.00 0 2.0 2.0 1.12 0.19 0.06
## SC4 4 70 2.81 1.95 3.00 2.73 2.22 0 7.0 7.0 0.23 -0.95 0.23
## SC5 5 70 0.97 0.76 1.00 0.95 1.48 0 3.0 3.0 0.24 -0.76 0.09
## SC6 6 70 2.36 1.12 3.00 2.46 0.74 0 4.0 4.0 -0.78 -0.31 0.13
## SC7 7 70 0.79 0.41 1.00 0.86 0.00 0 1.0 1.0 -1.36 -0.14 0.05
## SC8 8 70 4.44 2.38 5.00 4.50 2.97 0 9.0 9.0 -0.17 -0.83 0.28
## SC9 9 70 0.89 0.71 1.00 0.86 1.48 0 2.0 2.0 0.16 -1.06 0.09
## SC10 10 70 1.24 1.04 1.00 1.18 1.48 0 3.0 3.0 0.27 -1.16 0.12
## SC11 11 70 10.75 4.80 12.02 11.03 5.15 0 19.9 19.9 -0.46 -0.47 0.57
## ------------------------------------------------------------
## group: 3
## vars n mean sd median trimmed mad min max range skew kurtosis se
## SC1 1 43 1.16 0.78 1.0 1.17 1.48 0 3.00 3.00 0.01 -0.87 0.12
## SC2 2 43 0.26 0.44 0.0 0.20 0.00 0 1.00 1.00 1.08 -0.85 0.07
## SC3 3 43 0.47 0.63 0.0 0.37 0.00 0 2.00 2.00 0.96 -0.20 0.10
## SC4 4 43 3.51 2.04 4.0 3.57 1.48 0 7.00 7.00 -0.26 -0.92 0.31
## SC5 5 43 1.40 1.00 1.0 1.37 1.48 0 3.00 3.00 0.00 -1.16 0.15
## SC6 6 43 2.65 1.25 3.0 2.80 0.00 0 4.00 4.00 -1.19 0.21 0.19
## SC7 7 43 0.81 0.39 1.0 0.89 0.00 0 1.00 1.00 -1.56 0.44 0.06
## SC8 8 43 4.88 2.56 5.0 5.09 2.97 0 8.00 8.00 -0.71 -0.57 0.39
## SC9 9 43 1.16 0.75 1.0 1.20 1.48 0 2.00 2.00 -0.26 -1.25 0.11
## SC10 10 43 1.70 1.15 2.0 1.74 1.48 0 3.00 3.00 -0.34 -1.35 0.17
## SC11 11 43 13.01 5.45 14.8 13.61 3.34 0 21.35 21.35 -0.92 -0.13 0.83
## ------------------------------------------------------------
## group: 4
## vars n mean sd median trimmed mad min max range skew kurtosis se
## SC1 1 41 1.22 0.79 1.00 1.24 1.48 0 3 3 -0.09 -0.92 0.12
## SC2 2 41 0.39 0.54 0.00 0.33 0.00 0 2 2 0.89 -0.39 0.08
## SC3 3 41 0.66 0.62 1.00 0.61 0.00 0 2 2 0.33 -0.78 0.10
## SC4 4 41 3.76 1.68 4.00 3.82 1.48 0 7 7 -0.24 -0.29 0.26
## SC5 5 41 1.73 1.12 2.00 1.79 1.48 0 3 3 -0.21 -1.41 0.17
## SC6 6 41 2.88 1.08 3.00 3.06 0.00 0 4 4 -1.41 1.49 0.17
## SC7 7 41 0.93 0.26 1.00 1.00 0.00 0 1 1 -3.16 8.18 0.04
## SC8 8 41 5.88 2.27 6.00 6.21 1.48 0 9 9 -1.20 0.96 0.35
## SC9 9 41 1.10 0.77 1.00 1.12 1.48 0 2 2 -0.16 -1.33 0.12
## SC10 10 41 2.05 1.16 2.00 2.18 1.48 0 3 3 -0.84 -0.85 0.18
## SC11 11 41 14.76 5.16 16.25 15.29 2.89 0 27 27 -0.91 1.32 0.81
```r
require(gmodels)## Loading required package: gmodelsCrossTable(Q128, SC1)##
##
## Cell Contents
## |-------------------------|
## | N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 250
##
##
## | SC1
## Q128 | 0 | 1 | 2 | 3 | Row Total |
## -------------|-----------|-----------|-----------|-----------|-----------|
## 1 | 42 | 50 | 4 | 0 | 96 |
## | 5.227 | 1.137 | 15.362 | 0.768 | |
## | 0.438 | 0.521 | 0.042 | 0.000 | 0.384 |
## | 0.545 | 0.446 | 0.068 | 0.000 | |
## | 0.168 | 0.200 | 0.016 | 0.000 | |
## -------------|-----------|-----------|-----------|-----------|-----------|
## 2 | 18 | 26 | 26 | 0 | 70 |
## | 0.588 | 0.916 | 5.440 | 0.560 | |
## | 0.257 | 0.371 | 0.371 | 0.000 | 0.280 |
## | 0.234 | 0.232 | 0.441 | 0.000 | |
## | 0.072 | 0.104 | 0.104 | 0.000 | |
## -------------|-----------|-----------|-----------|-----------|-----------|
## 3 | 9 | 19 | 14 | 1 | 43 |
## | 1.360 | 0.004 | 1.462 | 1.251 | |
## | 0.209 | 0.442 | 0.326 | 0.023 | 0.172 |
## | 0.117 | 0.170 | 0.237 | 0.500 | |
## | 0.036 | 0.076 | 0.056 | 0.004 | |
## -------------|-----------|-----------|-----------|-----------|-----------|
## 4 | 8 | 17 | 15 | 1 | 41 |
## | 1.696 | 0.102 | 2.929 | 1.377 | |
## | 0.195 | 0.415 | 0.366 | 0.024 | 0.164 |
## | 0.104 | 0.152 | 0.254 | 0.500 | |
## | 0.032 | 0.068 | 0.060 | 0.004 | |
## -------------|-----------|-----------|-----------|-----------|-----------|
## Column Total | 77 | 112 | 59 | 2 | 250 |
## | 0.308 | 0.448 | 0.236 | 0.008 | |
## -------------|-----------|-----------|-----------|-----------|-----------|
##
## Including Plots
You can also embed plots, for example:
## Loading required package: ggplot2##
## Attaching package: 'ggplot2'## The following objects are masked from 'package:psych':
##
## %+%, alpha## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.## Warning: Removed 5 rows containing non-finite values (stat_bin).
Note that the echo = FALSE parameter was added to the
code chunk to prevent printing of the R code that generated the
plot.