The same code runs in R.exe but not in R Studio

General
1

Hello,

I'm using IVEWare software with R (IVEware with R | Survey Research Center). I tried to recreate the example on their website to run the software in R - it works in R.exe but it doesn't work in R Studio. My colleague who has Mac was able to run it in R Studio on Mac.
I use Windows - it doesn't work in R Studio (the error would say "Abnormal termination").

I talked to IVEWare support but they don't seem to know the reason, because it works in R Studio on Windows on their computer.

I wanted to understand what could be the reason that the same code would run in R.exe but not in R Studio - i.e. what can interfere on my Windows computer with the successful running of the code in R Studio, because the same code does work when running in R.exe.

Thank you very much for the help with much appreciation

2

think we need to see your code and some sample data. See:
FAQ Asking Questions

A handy way to supply some sample data is the dput() function. In the case of a large dataset something like dput(head(mydata, 100)) should supply the data we need. Just do dput(mydata) where mydata is your data. Copy the output and paste it here between
```

```

can you also provide the output from

thanks,

3

Please see:

To reproduce the steps, first IVEWare needs to be downloaded on the computer with these instructions: IVEware Installation Guide | Survey Research Center

Then, I run this code in R

setwd("C:/Users/Ekaterina/Downloads/srclib_examples_windows/Examples")
mydata2 <- read.delim("mydata2.txt")
save(mydata2, file="mydata2.rda")
srclib <<- "C:/Program Files/Srclib/R"
source(file.path(srclib, "init.R", fsep=.Platform$file.sep))
sink("output.txt")
impute(name="impute")
sink()

This is mydata2 using dput(head(mydata2, 100))

structure(list(STUDYID = c("1001Z3", "1002Z3", "1003Z3", "1004Z3", 
"1005Z3", "1006Z2", "1007Z3", "1008Z3", "1009Z3", "1010Z3", "1011Z3", 
"1012Z2", "1013Z3", "1017Z2", "1018Z2", "1019Z3", "1021Z3", "1022Z3", 
"1023Z3", "1024Z3", "1025Z3", "1026Z2", "1028Z3", "1029Z2", "1030Z3", 
"1031Z3", "1032Z3", "1033Z3", "1034Z3", "1035Z3", "1036Z3", "1037Z3", 
"1038Z3", "1039Z2", "1040Z3", "1041Z3", "1042Z2", "1043Z3", "1044Z3", 
"1045Z3", "1046Z3", "1047Z3", "1048Z3", "1049Z3", "1050Z3", "1051Z3", 
"1052Z2", "1053Z2", "1054Z3", "1056Z2", "1057Z3", "1060Z3", "1061Z3", 
"1062Z2", "1063Z3", "1065Z3", "1066Z3", "1067Z3", "1068Z3", "1070Z3", 
"1071Z3", "1072Z3", "1073Z3", "1074Z3", "1076Z2", "1077Z3", "1078Z3", 
"1079Z3", "1080Z3", "1081Z3", "1082Z3", "1083Z2", "1084Z3", "1085Z3", 
"1086Z3", "1087Z3", "1088Z3", "1089Z2", "1090Z3", "1091Z3", "1092Z3", 
"1093Z3", "1094Z3", "1095Z3", "1096Z3", "1097Z3", "1098Z3", "1099Z3", 
"1100Z3", "1101Z3", "1102Z3", "1103Z3", "1104Z3", "1105Z3", "1106Z3", 
"1107Z3", "1108Z3", "1109Z3", "1110Z2", "1111Z2"), CASECNT = c(1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L), AGE = c(50L, 49L, 60L, 63L, 51L, 45L, 54L, 66L, 
66L, 54L, 70L, 70L, 70L, 60L, 59L, 57L, 52L, 64L, 72L, 52L, 72L, 
42L, 67L, 59L, 61L, 52L, 68L, 67L, 57L, 72L, 67L, 68L, 48L, 63L, 
73L, 72L, 47L, 63L, 72L, 57L, 54L, 71L, 54L, 55L, 67L, 64L, 51L, 
69L, 39L, 69L, 60L, 73L, 53L, 74L, 54L, 68L, 64L, 55L, 66L, 64L, 
73L, 61L, 74L, 39L, 52L, 67L, 61L, 67L, 61L, 70L, 57L, 44L, 73L, 
59L, 65L, 65L, 73L, 55L, 69L, 60L, 65L, 72L, 70L, 67L, 60L, 62L, 
52L, 59L, 66L, 29L, 66L, 41L, 64L, 69L, 67L, 62L, 39L, 66L, 65L, 
65L), GENDER = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
0L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 
0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 
1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L), RACE3 = c(1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L
), HYPER = c(1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 
0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 
0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 
0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 
0L, 0L, 0L, 0L, 0L, NA, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 
1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 
0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L), DIAB = c(0L, 0L, 0L, 0L, 0L, 
0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 
0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, NA, 0L, 1L, 0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 
0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L), 
    SMOKE = c(3L, 1L, 2L, 1L, 2L, 2L, 3L, 3L, 1L, 3L, 2L, 2L, 
    2L, 3L, 3L, 3L, 2L, 2L, 1L, 3L, 3L, 3L, 1L, 2L, 2L, 2L, 1L, 
    3L, 3L, 2L, 1L, 1L, 2L, 3L, 2L, 2L, 2L, 3L, 2L, 1L, 3L, 2L, 
    3L, 2L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 1L, 1L, 2L, 1L, 3L, 3L, 
    3L, 1L, 3L, 2L, 3L, 2L, 1L, 3L, 1L, 2L, 2L, 3L, 3L, 1L, 2L, 
    1L, 3L, 3L, 1L, 1L, 3L, 2L, 3L, 2L, 2L, 2L, 1L, 3L, 2L, 2L, 
    2L, 2L, 3L, 1L, 3L, 2L, 1L, 1L, 2L, 2L, 3L, 1L, 1L), NUMCIG = c(30L, 
    NA, 10L, NA, 20L, 30L, 30L, 15L, NA, 2L, 40L, 30L, 30L, 40L, 
    20L, 15L, 3L, 40L, NA, 30L, 40L, 40L, NA, 20L, 20L, NA, NA, 
    40L, 40L, 40L, NA, NA, 20L, 60L, 40L, 20L, 40L, 20L, 20L, 
    NA, 30L, 20L, 20L, 40L, NA, NA, 20L, 20L, 30L, NA, NA, NA, 
    NA, 20L, NA, 40L, 20L, 20L, NA, 60L, 8L, 30L, NA, NA, 15L, 
    NA, 20L, 20L, 20L, 20L, NA, 40L, NA, 50L, 5L, NA, NA, 30L, 
    30L, 30L, 30L, 30L, NA, NA, 20L, 10L, 20L, 20L, 60L, 20L, 
    NA, 60L, 20L, NA, NA, 15L, 30L, 60L, NA, NA), YRSSMOKE = c(35L, 
    NA, 34L, NA, 6L, 30L, 25L, 49L, NA, 35L, 25L, 60L, 42L, 45L, 
    30L, 42L, 2L, 27L, NA, 34L, 40L, 25L, NA, 38L, 40L, 3L, NA, 
    50L, 39L, 40L, NA, NA, 20L, 47L, 50L, 25L, 20L, 40L, 10L, 
    NA, 30L, 30L, 30L, 40L, NA, NA, 38L, 50L, 25L, NA, NA, NA, 
    NA, 62L, NA, 52L, 50L, 30L, NA, 52L, 50L, 45L, 30L, NA, 35L, 
    NA, 30L, 15L, 40L, 50L, NA, 13L, NA, 45L, 45L, NA, NA, 30L, 
    40L, 45L, 40L, 30L, 33L, NA, 40L, 20L, 2L, 20L, 42L, 15L, 
    NA, 24L, 45L, NA, NA, 44L, 25L, 30L, NA, NA), FATINDEX = c(19L, 
    23L, 23L, 22L, 20L, 24L, 27L, 24L, 28L, 19L, 21L, 28L, 23L, 
    22L, 31L, 30L, 20L, 21L, 21L, 20L, 17L, 28L, 20L, 24L, 15L, 
    18L, 19L, 18L, 20L, 24L, 22L, 19L, 26L, 27L, 29L, 23L, 22L, 
    25L, 25L, 19L, 20L, 18L, 22L, 25L, 18L, 23L, 27L, 27L, 24L, 
    16L, 25L, 22L, 19L, 23L, 26L, 27L, 25L, 13L, 23L, 23L, 19L, 
    22L, 17L, 21L, 29L, 26L, 14L, 24L, 27L, 22L, 23L, 27L, 15L, 
    23L, 25L, 23L, 26L, 23L, 27L, 23L, 19L, 22L, 20L, 33L, 19L, 
    26L, 18L, 22L, 28L, 27L, 24L, NA, 24L, 23L, 22L, 17L, 22L, 
    19L, 24L, 17L), FAMMI = c(1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 
    0L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 
    1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 
    0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 
    0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 
    1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 
    0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 
    0L, 1L), EDUSUBJ3 = c(1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    0L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 
    1L, 1L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 0L, 
    1L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 0L, 1L, 0L, 
    1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 
    1L, 1L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 
    0L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 
    1L), DHA_EPA = c(42.716571429, 6.0282857143, 0.9462857143, 
    0, 3.6642857143, 5.259876258, 5.259876258, 4.8557142857, 
    1.8514285714, 0, 3.5828571429, 0, 4.7875298969, 2.8697142857, 
    2.1582857143, 0.5065714286, 8.7505714286, 0.7045714286, 0.5065714286, 
    0.9257142857, 0, 0.4217142857, 1.212, 2.8242857143, 0.9308571429, 
    0.6994285714, 4.6114285714, 3.4388571429, 7.6037142857, 0.3159813771, 
    1.9165714286, 0.7448571429, 25.277142857, 1.4974285714, 6.4397142857, 
    1.4091428571, 9.7782857143, 3.3051428571, 1.7202857143, 2.4291428571, 
    20.188559707, 2.3194285714, 0, 12.147428571, 2.4737142857, 
    2.376, 5.3922857143, 0, 1.1622857143, 4.1374285714, 3.8408571429, 
    0.936, 1.4888571429, 4.6628571429, 0, 0.6505714286, 1.7588571429, 
    5.9554285714, 2.4145714286, 0.7097142857, 6.0582857143, 1.3165714286, 
    4.464, 0.4628571429, 4.8908571429, 1.8737142857, 1.7228571429, 
    0, 3.7028571429, 1.9568571429, 0, 14.045142857, 3.7748571429, 
    0.4628571429, 2.9442857143, 7.7262857143, 0.9745714286, 6.6754285714, 
    3.822, 0.2314285714, 3.2686153846, 1.416, 0, 4.584, 2.3871428571, 
    0.7054285714, 11.050285714, 5.4102857143, 4.1502857143, 2.2011428571, 
    4.05, 0.2314285714, 2.7462857143, 0.54, 4.062, 0.54, 0, 7.8762857143, 
    8.2182857143, 3.852), REDTOT = c(NA, NA, NA, 2.94, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 4.18, 3.24, 3.89, 
    NA, NA, NA, NA, 4.13, NA, NA, NA, 3.93, 6.74, NA, NA, NA, 
    NA, 4.72, 3.36, 5.21, NA, NA, NA, NA, NA, 3.75, NA, NA, NA, 
    NA, NA, 3.35, NA, NA, 4.4, 4.24, NA, NA, 3.66, NA, 6.19, 
    5.71, NA, 4.96, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    5.19, NA, 4.17, 4.03, 3.99, 5.51, NA, NA, 4.83, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, 2.4, NA, NA, NA, NA, NA, NA, 
    NA, NA), CHOLESTH = c(0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 
    0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 
    1L, 1L, 0L, 0L, 0L, NA, 0L, 1L, 0L, 0L, NA, 0L, 0L, 0L, 0L, 
    1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 0L, 
    0L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, NA, 1L, 0L, 0L, 
    0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 
    1L, 0L, 1L, NA, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 
    0L), CAFFTOT = c(642.42, 147.84, 719.368, 691.628, 189.44, 
    549.36, 2134.02, 248.32, 412.02, 473.6, 686.7, 549.36, 137.34, 
    549.36, 824.04, 415.716, 554.288, 137.34, 153.6, 15.093333333, 
    0, 696.18, 824.04, 295.16, 0, 0, 824.04, 146.496, 1373.4, 
    0, 0, 4.578, 1373.4, 1410.36, 0, 0, 961.38, 1098.72, 0, 412.02, 
    1098.72, 137.34, 565.62, 412.02, 1351.68, 274.68, 73.92, 
    322.04, 2060.1, 7.3886666667, 112.32, 274.68, 5.81, 0, 49.824, 
    54.936, 686.7, 549.36, 469.46, 1373.4, 0, 206.8, 36.96, 4.928, 
    104.18933333, 416.756, 460.8, 153.6, 1135.68, 415.716, 0, 
    0, 369.4, 167.552, 1648.08, 686.7, 274.68, 161.12, 549.36, 
    311.64, 1098.72, 0, 274.68, 1420.76, 596.72, 348.6, 23.872, 
    412.02, 348.6, 9.856, 223.296, 485.12, 385.56, 137.34, 1393.88, 
    73.92, 1098.72, 824.04, 287.30933333, 348.6), WGTKG = c(104.3257, 
    124.73725, 70.30645, 68.0385, 71.66722, 79.37825, 90.718, 
    84.36774, 95.2539, 63.5026, 70.30645, 78.47107, 52.16285, 
    74.84235, 62.14183, 72.5744, 72.5744, 77.1103, 66.67773, 
    83.91415, 58.9667, 102.05775, 106.59365, 83.91415, 88.45005, 
    81.6462, 70.30645, 68.0385, 95.2539, 64.40978, 89.35723, 
    74.84235, 81.6462, 86.1821, 104.3257, 86.1821, 81.6462, 77.1103, 
    79.37825, 74.84235, 113.3975, 92.98595, 72.5744, 132.90187, 
    108.8616, 72.5744, 87.08928, 68.0385, 95.2539, 63.5026, 97.52185, 
    61.23465, 73.93517, 65.77055, 74.84235, 86.1821, 79.37825, 
    70.30645, 90.718, 99.7898, NA, 92.98595, 108.8616, 99.7898, 
    83.91415, 63.5026, 95.2539, 81.6462, 77.1103, 72.5744, 77.1103, 
    99.7898, 83.91415, 72.5744, 61.23465, 113.3975, 129.27315, 
    70.30645, 124.73725, 81.6462, 74.84235, 81.6462, 70.30645, 
    56.69875, 50.80208, 72.5744, 124.73725, 99.7898, 83.91415, 
    122.4693, 76.20312, 63.5026, 78.01748, 61.23465, 83.91415, 
    77.1103, 90.718, 66.67773, 77.1103, 74.84235), TOTLKCAL = c(986.53846154, 
    1370.7692308, 3537.6923077, 457.5, 2507.8846154, 55.384615385, 
    131.53846154, 2627.3076923, 0, 0, 1028.0769231, 1057.2115385, 
    272.30769231, 643.84615385, 88.269230769, 610.96153846, 41.730769231, 
    8016.9230769, 3046.1538462, 1173.8942308, 20.769230769, 140.19230769, 
    1869.2307692, 347.5, 415.38461538, 3433.8461538, 159.23076923, 
    934.61538462, 0, 0, 1626.9230769, 1122.6923077, 0, 270, 555.57692308, 
    272.59615385, 1494.2307692, 0, 155.76923077, 276.92307692, 
    2932.75, 1105.9615385, 591.92307692, 138.46153846, 816.92307692, 
    0, 249.23076923, 2035.3846154, 93.461538462, 6840, 1633.8461538, 
    1246.1538462, 768.46153846, 129.23076923, 83.076923077, 242.30769231, 
    1578.4615385, 830.76923077, 93.461538462, 0, 934.61538462, 
    0, 0, 166.15384615, 0, 0, 0, 498.46153846, 15421.153846, 
    415.38461538, 923.07692308, 1869.2307692, 550.38461538, 10.384615385, 
    0, 155.76923077, 0, 529.61538462, 51.923076923, 124.61538462, 
    468.17307692, 477.69230769, 743.84615385, 1775.7692308, 728.93188137, 
    0, 1007.3076923, 186.92307692, 3895.5288462, 0, 222.76595745, 
    1031.5384615, 4059.6923077, 3166.1538462, 673.84615385, 0, 
    1536.9230769, 69.230769231, 1235.7692308, 249.23076923), 
    ALCOHOL3 = c(7.5666666667, 0, 2.6666666667, 3.1, 2, 0, 0, 
    0.4, 0, 0, 0.0666666667, 4, 2, 2.4, 0.1333333333, 0.0666666667, 
    0.0333333333, 0, 0.0666666667, 0, 0, 0, 0, 0, 0.2666666667, 
    0.2666666667, 0.0666666667, 0.0333333333, 16, 17, 0, 0, 18.4, 
    0, 0, 2, 0.3, 0, 0, 1.6333333333, 3.1, 1, 1.6666666667, 0.1333333333, 
    0, 0, 0, 1.1, 0, 0.5666666667, 0, 0.2666666667, 0, 0, 0, 
    0.0333333333, 0, 0, 0, 1, 0.8, 0, 0, 0.0666666667, 0, 0.0333333333, 
    0, 0, 0.0333333333, 0.2666666667, 0, 12, 0, 4.5333333333, 
    0.1, 0, 0, 2, 0.5333333333, 3, 2.2666666667, 8, 0, 1, 0.3333333333, 
    0, 0.0333333333, 2.1333333333, 0.0666666667, 0.2, 1.3, 0, 
    0, 0, 0, 1, 0.5333333333, 0, 0.6, 0), HGTCM = c(180.34, 177.8, 
    170.18, 172.72, 180.34, 175.26, 182.88, 180.34, 182.88, 170.18, 
    172.72, 180.34, 172.72, 180.34, 170.18, 177.8, 182.88, 180.34, 
    157.48, 175.26, 154.94, 170.18, 180.34, 177.8, 190.5, 180.34, 
    180.34, 172.72, 175.26, 170.18, 187.96, 185.42, 182.88, 182.88, 
    182.88, 187.96, 167.64, 170.18, 177.8, 180.34, 182.88, 182.88, 
    167.64, 187.96, 177.8, 187.96, 180.34, 180.34, 175.26, 170.18, 
    190.5, 172.72, 172.72, 177.8, 177.8, 175.26, 185.42, 170.18, 
    180.34, 182.88, 172.72, 177.8, 182.88, 172.72, 182.88, 167.64, 
    185.42, 190.5, 182.88, 180.34, 175.26, 182.88, 180.34, 177.8, 
    167.64, 177.8, 175.26, 175.26, 187.96, 185.42, 170.18, 180.34, 
    182.88, 157.48, 157.48, 162.56, 182.88, 177.8, 182.88, 187.96, 
    177.8, 162.56, 177.8, 170.18, 177.8, 177.8, 175.26, 170.18, 
    172.72, 180.34)), row.names = c(NA, 100L), class = "data.frame")
4

When the code runs successfully in the R.exe, this is what is printed in the console using dput(head(output, 100))

structure(list(IVEware.Setup.Checker..Tue.Oct.17.15.09.05.2023..................................1 = c("Setup listing:", 
"title Multiple imputation;", "datain mydata2;", "dataout impute;", 
"default continuous;", "categorical casecnt gender race3 hyper diab smoke fammi edusubj3 cholesth;", 
"mixed cafftot alcohol3;", "transfer studyid;", "restrict numcig(smoke=2,3) yrssmoke(smoke=2,3);", 
"bounds numcig(>0) yrssmoke(>0,<=age-12) fatindex(>0) cafftot(>=0) alcohol3(>=0);", 
"maxpred redtot(3) wgtkg(2);", "minrsqd .01;", "iterations 5;", 
"multiples 5;", "seed 2001;", "run;", "\fIVEware Iterative Imputation Procedure, Tue Oct 17 15:09:09 2023                 1", 
"Multiple imputation", "Imputation 1", "Variable          Observed           Imputed    Double counted", 
"CASECNT                898                 0                 0", 
"AGE                    898                 0                 0", 
"GENDER                 898                 0                 0", 
"RACE3                  897                 1                 0", 
"HYPER                  890                 8                 0", 
"DIAB                   894                 4                 0", 
"SMOKE                  896                 2                 0", 
"NUMCIG                 454               444                 0", 
"YRSSMOKE               489               409                 0", 
"FATINDEX               864                34                 0", 
"FAMMI                  891                 7                 0", 
"EDUSUBJ3               898                 0                 0", 
"DHA_EPA                898                 0                 0", 
"REDTOT                 498               400                 0", 
"CHOLESTH               884                14                 0", 
"CAFFTOT                896                 2                 0", 
"WGTKG                  845                53                 0", 
"TOTLKCAL               898                 0                 0", 
"ALCOHOL3               897                 1                 0", 
"HGTCM                  896                 2                 0", 
"Variable RACE3", "                  Observed           Imputed          Combined", 
"    Code       Freq    Per       Freq    Per       Freq    Per", 
"       0         55   6.13          0   0.00         55   6.12", 
"       1        842  93.87          1 100.00        843  93.88", 
"   Total        897 100.00          1 100.00        898 100.00", 
"Variable HYPER", "                  Observed           Imputed          Combined", 
"    Code       Freq    Per       Freq    Per       Freq    Per", 
"       0        709  79.66          6  75.00        715  79.62", 
"       1        181  20.34          2  25.00        183  20.38", 
"   Total        890 100.00          8 100.00        898 100.00", 
"Variable DIAB", "                  Observed           Imputed          Combined", 
"    Code       Freq    Per       Freq    Per       Freq    Per", 
"       0        831  92.95          4 100.00        835  92.98", 
"       1         63   7.05          0   0.00         63   7.02", 
"   Total        894 100.00          4 100.00        898 100.00", 
"Variable SMOKE", "                  Observed           Imputed          Combined", 
"    Code       Freq    Per       Freq    Per       Freq    Per", 
"       1        354  39.51          1  50.00        355  39.53", 
"       2        364  40.62          1  50.00        365  40.65", 
"       3        178  19.87          0   0.00        178  19.82", 
"\fIVEware Iterative Imputation Procedure, Tue Oct 17 15:09:09 2023                 2", 
"Multiple imputation", "Variable SMOKE", "                  Observed           Imputed          Combined", 
"   Total        896 100.00          2 100.00        898 100.00", 
"Variable NUMCIG", "                  Observed           Imputed          Combined", 
"  Number               454               444               898", 
" Minimum                 0                 0                 0", 
" Maximum                98           58.8933                98", 
"    Mean           22.7004           5.14628           14.0211", 
" Std Dev           14.3406             11.54            15.708", 
"Variable YRSSMOKE", "                  Observed           Imputed          Combined", 
"  Number               489               409               898", 
" Minimum                 1                 0                 0", 
" Maximum                63           49.8549                63", 
"    Mean           28.1554           3.32277           16.8452", 
" Std Dev            14.677            9.8135           17.7231", 
"Variable FATINDEX", "                  Observed           Imputed          Combined", 
"  Number               864                34               898", 
" Minimum                10           12.3852                10", 
" Maximum                33           31.5658                33", 
"    Mean           21.5625           20.9838           21.5406", 
" Std Dev           3.94349           4.58322           3.96821", 
"Variable FAMMI", "                  Observed           Imputed          Combined", 
"    Code       Freq    Per       Freq    Per       Freq    Per", 
"       0        487  54.66          3  42.86        490  54.57", 
"       1        404  45.34          4  57.14        408  45.43", 
"   Total        891 100.00          7 100.00        898 100.00", 
"Variable REDTOT", "                  Observed           Imputed          Combined", 
"  Number               498               400               898", 
" Minimum              1.97          0.289395          0.289395"
)), row.names = c(NA, 100L), class = "data.frame")

The code produces the output file like this using dput(head(imp, 10))

structure(list(STUDYID = c("1001Z3", "1002Z3", "1003Z3", "1004Z3", 
"1005Z3", "1006Z2", "1007Z3", "1008Z3", "1009Z3", "1010Z3"), 
    CASECNT = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1), AGE = c(50, 49, 
    60, 63, 51, 45, 54, 66, 66, 54), GENDER = c(0, 0, 0, 0, 0, 
    0, 0, 0, 0, 1), RACE3 = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1), 
    HYPER = c(1, 1, 0, 0, 0, 0, 0, 1, 0, 0), DIAB = c(0, 0, 0, 
    0, 0, 0, 0, 0, 1, 0), SMOKE = c(3, 1, 2, 1, 2, 2, 3, 3, 1, 
    3), NUMCIG = c(30, 0, 10, 0, 20, 30, 30, 15, 0, 2), YRSSMOKE = c(35, 
    0, 34, 0, 6, 30, 25, 49, 0, 35), FATINDEX = c(19, 23, 23, 
    22, 20, 24, 27, 24, 28, 19), FAMMI = c(1, 1, 0, 1, 1, 1, 
    1, 0, 0, 0), EDUSUBJ3 = c(1, 0, 1, 1, 1, 1, 1, 1, 1, 0), 
    DHA_EPA = c(42.716571429, 6.0282857143, 0.9462857143, 0, 
    3.6642857143, 5.259876258, 5.259876258, 4.8557142857, 1.8514285714, 
    0), REDTOT = c(8.18420301971081, 6.49113779241103, 2.75971317015073, 
    2.94, 5.10454751747174, 6.07201976217756, 3.22042202729345, 
    5.73669456605955, 3.6216837611374, 1.08474980044133), CHOLESTH = c(0, 
    0, 0, 1, 0, 0, 0, 0, 0, 0), CAFFTOT = c(642.42, 147.84, 719.368, 
    691.628, 189.44, 549.36, 2134.02, 248.32, 412.02, 473.6), 
    WGTKG = c(104.3257, 124.73725, 70.30645, 68.0385, 71.66722, 
    79.37825, 90.718, 84.36774, 95.2539, 63.5026), TOTLKCAL = c(986.53846154, 
    1370.7692308, 3537.6923077, 457.5, 2507.8846154, 55.384615385, 
    131.53846154, 2627.3076923, 0, 0), ALCOHOL3 = c(7.5666666667, 
    0, 2.6666666667, 3.1, 2, 0, 0, 0.4, 0, 0), HGTCM = c(180.34, 
    177.8, 170.18, 172.72, 180.34, 175.26, 182.88, 180.34, 182.88, 
    170.18)), row.names = c(NA, 10L), class = "data.frame")

It runs successfully in R.exe but running the same steps in R Studio produces error "Abnormal termination of iveset"

Thank you very much for the help with much appreciation

5

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