I have a function that compares the columns in each group using the wilcoxon test. Function:
group.leb=c(1,2)
z <- c(2,3,4)
v <- 2
s <- sapply(z,'+',v)
combination <- mapply(c,z,s,SIMPLIFY = F)
wilcox.fun <- function(dat) {
do.call(rbind, lapply(combination, function(x) {
test <- wilcox.test(dat[[x[1]]], dat[[x[2]]], paired=FALSE)
data.frame(Test = sprintf('Group %s by Group %s', x[1], x[2]),
W = round(test$statistic,4),
p = test$p.value)
}))
}
result <- purrr::map_df(split(data, data$group), wilcox.fun, .id = 'Group')
I want to set a parameter so that the function counts for certain groups, and not all in a row.
What do I want to get
| Group|
|--------|
| 1 |
| 1 |
| 1 |
| 3 |
| 3 |
| 3 |
Or another order for example: (2 and 3)
My data frame:
data <- structure(list(group = c(1L, 1L, 1L, 1L, 1L, 1L,1L,1L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L), col1 = c(9,
9.05, 7.15, 7.21, 7.34, 8.12, 7.5, 7.84, 7.8, 7.52, 8.84, 6.98,
6.1, 6.89, 6.5, 7.5, 7.8, 5.5, 6.61, 7.65, 7.68,8.0,9.0), col2 = c(11L,
11L, 10L, 1L, 3L, 7L, 11L, 11L, 11L, 11L, 4L, 1L, 1L, 1L, 2L,
2L, 1L, 4L, 8L, 8L, 1L,3L,4L), col3 = c(7L, 11L, 3L, 7L, 11L, 2L, 11L,
5L, 11L, 11L, 5L, 11L, 11L, 2L, 9L, 9L, 3L, 8L, 11L, 11L, 2L,5L,6L),
col4 = c(11L, 11L, 11L, 11L, 6L, 11L, 11L, 11L, 10L, 7L,
11L, 2L, 11L, 3L, 11L, 11L, 6L, 11L, 1L, 11L, 11L,13L,12L), col5 = c(11L,
1L, 2L, 2L, 11L, 11L, 1L, 10L, 2L, 11L, 1L, 3L, 11L, 11L,
8L, 8L, 11L, 11L, 11L, 2L, 9L,4L,5L)), .Names = c("group", "col1",
"col2", "col3", "col4", "col5"), class = "data.frame", row.names = c(NA,
-21L))
Is this doing the trick?
wilcox.fun <- function(df, id_group){
df = df[df$group%in%id_group,]
x <- function(dat) {
do.call(rbind, lapply(combination, function(x) {
test <- wilcox.test(dat[[x[1]]], dat[[x[2]]], paired=FALSE)
data.frame(Test = sprintf('Group %s by Group %s', x[1], x[2]),
W = round(test$statistic,4),
p = test$p.value)
}))
}
return (purrr::map_df(split(df, df$group), x, .id = 'Group'))
}
wilcox.fun(data, c(1,3))
Output :
Group Test W p
W...1 1 Group 2 by Group 4 40.0 0.42919530
W1...2 1 Group 3 by Group 5 20.0 0.14199085
W2...3 1 Group 4 by Group 6 38.5 0.51567473
W...4 3 Group 2 by Group 4 33.0 0.95802933
W1...5 3 Group 3 by Group 5 9.0 0.01679008
W2...6 3 Group 4 by Group 6 28.0 0.70822798