Hello -
kayj wrote:
Hi all
I have a data set with the total number of columns =ncol, and the total
number of rows=nrow. I am trying to loop over the values and id the value is
less than or equal to 100 to be changed to 1. if the value is greater than
100 , to be changed to 0. if NA , let X[i,j]=NA. I ran into a problem where
if one row in my data set had all values =NA, then the program does not
continue working past that row!
At some point I get the following error message:
“Error in if (data [i, j] <= 100) { : missing value where TRUE/FALSE needed”
Here is the program
data<-read.table("fileName.txt", header=F, sep='\t')
X=data
for(i in ncol)
{
for(j in nrow)
{
if(data[i,j]<=100) {X[i,j]=1}
if(data[i,j]>100) {X[i,j]=0}
if(is.na(data[i,j])) {X[i,j]=NA}
}
}
An alternate, vectorized solution may be:
X <- ifelse(data <= 100, 1, 0)
And as 'data' is a function in the utils package include with R, you
might consider not naming your variables 'data'.
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