Reputation: 5752
How can I turn the following matrix (or table/data frame) with row names & column names,
A B
M 27143 18324
F 29522 18875
into something like
27143 M A
18324 M B
29522 F A
18875 F B
so that I can do some analysis in R?
Upvotes: 4
Views: 10660
Reputation:
You can also use data.table
to add the row names as first column then you melt it based on their row names
df<- structure(list(A = c(27143L, 29522L), B = c(18324L, 18875L)), .Names = c("A",
"B"), class = "data.frame", row.names = c("M", "F"))
library(data.table)
library(reshape2)
setDT(df, keep.rownames = TRUE)[]
# rn A B
#1: M 27143 18324
#2: F 29522 18875
(melt(df, id.vars="rn"))
# rn variable value
#1: M A 27143
#2: F A 29522
#3: M B 18324
#4: F B 18875
Or use gather
instead melt
library(tidyr)
gather(df, "rn")
# rn rn value
#1 M A 27143
#2 F A 29522
#3 M B 18324
#4 F B 18875
Upvotes: 1
Reputation: 193647
You can use the reshape2
package and melt
the data.
temp = read.table(header=TRUE, text=" A B
M 27143 18324
F 29522 18875")
library(reshape2)
temp$id = rownames(temp)
melt(temp)
# Using id as id variables
# id variable value
# 1 M A 27143
# 2 F A 29522
# 3 M B 18324
# 4 F B 18875
Upvotes: 9