Sample dataset from an impact evaluation study of a mother and child nutrition programme in Kassala State, Sudan. This dataset contains information from mother respondents.
Source:R/odkr.R
sampleData2.RdSample dataset from an impact evaluation study of a mother and child nutrition programme in Kassala State, Sudan. This dataset contains information from mother respondents.
Format
A data frame with 16 columns and 50 rows:
wcount.wdata.women.wageMother's age
wcount.wdata.women.wmarriedIs mother married?
wcount.wdata.women.wpregnantIs mother pregnant?
wcount.wdata.women.wedu1Mother - number of years of formal education
wcount.wdata.women.wedu2Mother - highest educational attainment
wcount.wdata.women.wanthroMother's middle upper arm circumference (mm)
wcount.wdata.women.screeningHas mother's MUAC and oedema been measured/tested in past month
wcount.wdata.wash.ws1Source of drinking water
wcount.wdata.wash.ws2Water treatment
wcount.wdata.wash.ws3Sanitation facility
wcount.wdata.wash.ws4Is sanitation facility shared with other households?
wcount.wdata.wash.ws5Is sanitation facility used by public
wcount.wdata.wash.ws6Sanitary disposal of child's faeces
wcount.wdata.wash.ws7Episodes when handwashing is done
KEYParent data identifier
PARENT_KEYChild data identifier
Examples
sampleData2
#> wcount.wdata.women.wage wcount.wdata.women.wmarried
#> 1 20 1
#> 2 35 1
#> 3 16 2
#> 4 30 1
#> 5 18 2
#> 6 25 1
#> 7 27 1
#> 8 48 1
#> 9 18 1
#> 10 16 2
#> 11 46 1
#> 12 38 1
#> 13 22 1
#> 14 28 1
#> 15 18 1
#> 16 NA NA
#> 17 16 1
#> 18 15 1
#> 19 16 1
#> 20 25 1
#> 21 35 1
#> 22 18 2
#> 23 30 1
#> 24 33 1
#> 25 18 2
#> 26 25 1
#> 27 25 1
#> 28 46 1
#> 29 40 1
#> 30 16 2
#> 31 19 1
#> 32 23 1
#> 33 31 1
#> 34 30 1
#> 35 25 1
#> 36 17 2
#> 37 30 1
#> 38 36 1
#> 39 27 1
#> 40 17 2
#> 41 16 2
#> 42 32 1
#> 43 19 1
#> 44 16 2
#> 45 15 2
#> 46 35 1
#> 47 15 2
#> 48 36 1
#> 49 38 1
#> 50 15 1
#> wcount.wdata.women.wpregnant wcount.wdata.women.wedu1
#> 1 2 3
#> 2 2 0
#> 3 2 5
#> 4 2 0
#> 5 2 8
#> 6 2 3
#> 7 2 0
#> 8 2 0
#> 9 1 0
#> 10 2 3
#> 11 2 0
#> 12 2 0
#> 13 2 4
#> 14 2 0
#> 15 2 4
#> 16 NA NA
#> 17 2 0
#> 18 2 0
#> 19 1 5
#> 20 2 0
#> 21 2 3
#> 22 2 11
#> 23 1 0
#> 24 2 3
#> 25 2 1
#> 26 2 0
#> 27 2 0
#> 28 2 0
#> 29 2 0
#> 30 2 7
#> 31 2 0
#> 32 2 0
#> 33 2 0
#> 34 2 3
#> 35 1 0
#> 36 2 4
#> 37 2 0
#> 38 2 1
#> 39 2 2
#> 40 2 2
#> 41 2 0
#> 42 1 0
#> 43 1 2
#> 44 2 4
#> 45 2 7
#> 46 2 0
#> 47 2 8
#> 48 2 7
#> 49 2 10
#> 50 2 0
#> wcount.wdata.women.wedu2 wcount.wdata.women.wanthro
#> 1 1 270
#> 2 9 235
#> 3 1 174
#> 4 9 269
#> 5 2 225
#> 6 1 128
#> 7 9 268
#> 8 9 210
#> 9 1 162
#> 10 1 211
#> 11 9 331
#> 12 9 335
#> 13 1 227
#> 14 9 258
#> 15 1 196
#> 16 NA NA
#> 17 9 181
#> 18 9 225
#> 19 1 220
#> 20 9 260
#> 21 1 243
#> 22 3 272
#> 23 9 189
#> 24 1 240
#> 25 1 235
#> 26 9 245
#> 27 9 287
#> 28 9 194
#> 29 9 233
#> 30 1 179
#> 31 9 182
#> 32 9 134
#> 33 9 248
#> 34 1 283
#> 35 9 245
#> 36 1 182
#> 37 9 220
#> 38 1 235
#> 39 9 205
#> 40 1 243
#> 41 9 189
#> 42 9 235
#> 43 1 219
#> 44 1 221
#> 45 1 225
#> 46 9 200
#> 47 2 203
#> 48 1 230
#> 49 3 304
#> 50 9 185
#> wcount.wdata.women.screening wcount.wdata.wash.ws1 wcount.wdata.wash.ws2
#> 1 2 13 2
#> 2 2 9 2 7
#> 3 2 12 7
#> 4 2 12 7
#> 5 2 13 7
#> 6 2 8 7
#> 7 2 8 7
#> 8 2 12 3
#> 9 2 12 7
#> 10 2 9 2 3 7
#> 11 2 13 2
#> 12 2 9 2 3 7
#> 13 2 8 1
#> 14 2 12 7
#> 15 2 12 3
#> 16 NA NA
#> 17 2 12 7
#> 18 2 8 7
#> 19 2 13 4
#> 20 2 13 7
#> 21 2 13 3
#> 22 2 13 7
#> 23 2 12 7
#> 24 1 13 1
#> 25 2 11 7
#> 26 2 9 2 3
#> 27 2 12 3
#> 28 2 9 7
#> 29 1 8 7
#> 30 2 12 7
#> 31 1 9 7
#> 32 2 9 7
#> 33 2 9 2 3
#> 34 2 13 7
#> 35 2 8 7
#> 36 2 12 7
#> 37 2 9 7
#> 38 2 10 7
#> 39 2 13 2
#> 40 2 12 3
#> 41 2 9 7
#> 42 1 8 7
#> 43 2 9 7
#> 44 2 12 7
#> 45 2 9 2 3 7
#> 46 2 12 3
#> 47 2 12 7
#> 48 2 13 3
#> 49 2 13 7
#> 50 2 9 7
#> wcount.wdata.wash.ws3 wcount.wdata.wash.ws4 wcount.wdata.wash.ws5
#> 1 12 NA NA
#> 2 1 1 2
#> 3 12 NA NA
#> 4 12 NA NA
#> 5 12 NA NA
#> 6 12 NA NA
#> 7 12 NA NA
#> 8 12 NA NA
#> 9 12 NA NA
#> 10 1 1 2
#> 11 12 NA NA
#> 12 1 1 2
#> 13 12 NA NA
#> 14 12 NA NA
#> 15 12 NA NA
#> 16 NA NA NA
#> 17 12 NA NA
#> 18 12 NA NA
#> 19 12 NA NA
#> 20 12 NA NA
#> 21 12 NA NA
#> 22 2 2 2
#> 23 12 NA NA
#> 24 1 1 1
#> 25 12 NA NA
#> 26 1 1 1
#> 27 12 NA NA
#> 28 12 NA NA
#> 29 12 NA NA
#> 30 2 2 2
#> 31 12 NA NA
#> 32 10 1 2
#> 33 2 1 1
#> 34 12 NA NA
#> 35 12 NA NA
#> 36 12 NA NA
#> 37 12 NA NA
#> 38 12 NA NA
#> 39 12 NA NA
#> 40 12 NA NA
#> 41 12 NA NA
#> 42 12 NA NA
#> 43 10 1 2
#> 44 12 NA NA
#> 45 1 2 2
#> 46 12 NA NA
#> 47 12 NA NA
#> 48 12 NA NA
#> 49 2 2 2
#> 50 12 NA NA
#> wcount.wdata.wash.ws6 wcount.wdata.wash.ws7 KEY PARENT_KEY
#> 1 NA 1 2 3 4 6 7 1 1
#> 2 9 1 2 3 7 8 2 2
#> 3 NA 1 2 3 7 3 3
#> 4 NA 1 2 3 4 5 6 7 8 4 4
#> 5 NA 1 2 8 5 5
#> 6 NA 1 2 3 5 6 6
#> 7 NA 1 2 3 6 7 8 7 7
#> 8 NA 1 2 3 8 8
#> 9 NA 1 2 3 7 8 9 9
#> 10 9 1 2 3 10 10
#> 11 NA 1 2 3 11 11
#> 12 1 1 2 3 7 12 12
#> 13 NA 1 2 3 13 13
#> 14 NA 1 2 3 4 6 7 8 14 14
#> 15 NA 1 2 3 15 15
#> 16 NA 16 16
#> 17 NA 1 2 3 7 8 17 17
#> 18 NA 1 2 3 7 8 18 18
#> 19 NA 1 2 3 7 19 19
#> 20 NA 1 2 3 5 20 20
#> 21 NA 1 2 3 6 7 21 21
#> 22 9 1 2 3 7 8 22 22
#> 23 NA 1 2 3 6 7 23 23
#> 24 1 1 2 3 5 6 7 8 24 24
#> 25 NA 1 2 3 5 6 25 25
#> 26 1 1 2 3 7 8 26 26
#> 27 NA 1 2 3 27 27
#> 28 NA 1 2 3 7 28 28
#> 29 NA 1 2 3 5 29 29
#> 30 9 1 2 3 7 30 30
#> 31 NA 1 2 4 7 31 31
#> 32 1 1 2 3 6 32 32
#> 33 7 1 2 3 8 33 33
#> 34 NA 1 2 3 7 34 34
#> 35 NA 1 2 3 7 8 35 35
#> 36 NA 1 2 3 7 8 36 36
#> 37 NA 1 2 3 7 37 37
#> 38 NA 1 3 5 38 38
#> 39 NA 1 2 3 4 6 7 39 39
#> 40 NA 1 2 3 40 40
#> 41 NA 1 2 3 7 41 41
#> 42 NA 1 2 3 5 42 42
#> 43 7 1 2 3 4 6 7 8 10 43 43
#> 44 NA 2 3 6 7 44 44
#> 45 9 1 2 3 4 5 6 7 8 10 45 45
#> 46 NA 1 2 3 46 46
#> 47 NA 1 2 3 7 8 47 47
#> 48 NA 1 2 3 5 7 48 48
#> 49 2 1 2 3 6 7 49 49
#> 50 NA 1 2 3 7 50 50