I have a dataframe df like this:
type V1 V2
1 A bla bla
2 A bla bla
3 B bloo bla
4 B bloo bla
5 C moo bloo
6 C moo bloo
Currently I melt/cast to get this:
type bla bloo moo
A 4 0 0
B 2 2 0
C 0 2 2
using these commands:
library(reshape)
melted <- melt(df, id='type')
count <- function(x) {
length(na.omit(x))
}
casted <- cast(melted, type~value, count)
However instead of counting/summing, I want to get a list of the original rownames. Something like this:
type bla bloo moo
A 1,2 0 0
B 3,4 3,4 0
C 0 5,6 5,6
where each value for bla, bloo and moo is a list of unique rownames from the original data frame.
Can anyone help?
library(reshape2)
df <- read.table(text="type V1 V2
1 A bla bla
2 A bla bla
3 B bloo bla
4 B bloo bla
5 C moo bloo
6 C moo bloo")
df$id <- rownames(df)
melted <- melt(df, id=c('type','id'),measure.vars=c("V1","V2"))
fun <- function(x) paste(unique(x),collapse=",")
dcast(melted,type~value,fun,value.var="id",fill="0")
# type bla bloo moo
#1 A 1,2 0 0
#2 B 3,4 3,4 0
#3 C 0 5,6 5,6
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