Hi,
This is the input data frame:
###############################################
df.1 = read.table(header=T,text="
id gender WMC_alcohol WMC_caffeine WMC_no.drug RT_alcohol RT_caffeine
RT_no.drug
1 1 female 3.7 3.7 3.9 488 236 371
2 2 female 6.4 7.3 7.9 607 376 349
3 3 female 4.6 7.4 7.3 643 226 412
4 4 male 6.4 7.8 8.2 684 206 252
5 5 female 4.9 5.2 7.0 593 262 439
6 6 male 5.4 6.6 7.2 492 230 464
7 7 male 7.9 7.9 8.9 690 259 327
8 8 male 4.1 5.9 4.5 486 230 305
9 9 female 5.2 6.2 7.2 686 273 327
10 10 female 6.2 7.4 7.8 645 240 498
")
###############################################
This is the desired output:
###############################################
id gender drug WMC RT
1 1 female alcohol 3.7 488
2 2 female alcohol 6.4 607
3 3 female alcohol 4.6 643
4 4 male alcohol 6.4 684
5 5 female alcohol 4.9 593
6 6 male alcohol 5.4 492
7 7 male alcohol 7.9 690
8 8 male alcohol 4.1 486
9 9 female alcohol 5.2 686
10 10 female alcohol 6.2 645
11 1 female caffeine 3.7 236
12 2 female caffeine 7.3 376
###############################################
I know some melt and cast magic is required. But I was unable to sort it
myself.
Here are the dput versions:
Input Data Frame
###############################################
> dput(df.1)
structure(list(id = 1:10, gender = structure(c(1L, 1L, 1L, 2L,
1L, 2L, 2L, 2L, 1L, 1L), .Label = c("female", "male"), class = "factor"),
WMC_alcohol = c(3.7, 6.4, 4.6, 6.4, 4.9, 5.4, 7.9, 4.1, 5.2,
6.2), WMC_caffeine = c(3.7, 7.3, 7.4, 7.8, 5.2, 6.6, 7.9,
5.9, 6.2, 7.4), WMC_no.drug = c(3.9, 7.9, 7.3, 8.2, 7, 7.2,
8.9, 4.5, 7.2, 7.8), RT_alcohol = c(488L, 607L, 643L, 684L,
593L, 492L, 690L, 486L, 686L, 645L), RT_caffeine = c(236L,
376L, 226L, 206L, 262L, 230L, 259L, 230L, 273L, 240L), RT_no.drug =
c(371L,
349L, 412L, 252L, 439L, 464L, 327L, 305L, 327L, 498L)), .Names =
c("id",
"gender", "WMC_alcohol", "WMC_caffeine", "WMC_no.drug", "RT_alcohol",
"RT_caffeine", "RT_no.drug"), class = "data.frame", row.names = c("1",
"2", "3", "4", "5", "6", "7", "8", "9", "10"))
Output Data Frame
###############################################
> dput(df.output)
structure(list(id = c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L,
1L, 2L), gender = structure(c(1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L,
1L, 1L, 1L, 1L), .Label = c("female", "male"), class = "factor"),
drug = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
2L, 2L), .Label = c("alcohol", "caffeine"), class = "factor"),
WMC = c(3.7, 6.4, 4.6, 6.4, 4.9, 5.4, 7.9, 4.1, 5.2, 6.2,
3.7, 7.3), RT = c(488L, 607L, 643L, 684L, 593L, 492L, 690L,
486L, 686L, 645L, 236L, 376L)), .Names = c("id", "gender",
"drug", "WMC", "RT"), class = "data.frame", row.names = c("1",
"2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12"))
Cheers !
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