Hi all,
I'm having a problem once again, trying to do something very simple. Consider
the following data frame:
x - read.table(textConnection(locus1 locus2 locus3
A T C
A T NA
T C C
A T G), header = TRUE)
closeAllConnections()
I am trying to make a new data frame, replacing A with A/A, T with
Josh, you've made it far too complicated. Here's one simpler way (note
that I changed your read.table statement to make the values NOT factors,
since I wouldn't think you want that).
x - read.table(textConnection(locus1 locus2 locus3
+ A T C
+ A T NA
+ T C C
+ A T G), header = TRUE, as.is=TRUE)
Try this:
xNew - as.data.frame(mapply(paste, x, x, sep = /))
xNew[is.na(x)] - NA
xNew
On Thu, Feb 17, 2011 at 2:54 PM, Josh B josh...@yahoo.com wrote:
Hi all,
I'm having a problem once again, trying to do something very simple.
Consider
the following data frame:
x -
Hi,
You could use car::recode to change the levels of the factors,
library(car)
transform(x, locus1 = recode(locus1, 'A' = 'A/A' ; else = 'T/T'),
locus2 = recode(locus2, 'T'='T/T' ; 'C' = 'C/C'),
locus3 = recode(locus3, 'C'='C/C' ; 'G' = 'G/G'))
HTH,
You may write as this:
for (i in 1:nrow(x)){
for (j in 1:ncol(x)){
if (!is.na(x[i, j])) {
if(x[i, j] == 'A') {x2[i, j] - 'A/A'} else{
if(x[i, j] == 'T') {x2[i, j] - 'T/T'} else{
if(x[i, j] == 'G') {x2[i, j] - 'G/G'} else{
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