Is there any way to increment the loop when the error occurs, returning an NA
in the results matrix. I have included an if starement to only calculate
cor() when columns are !all(is.na()), but I still exit out with this error,
albeit after some loops through the matrix - i.e. when the condition is
satisfied, but the data rows do not overlap at all.
rcoder wrote:
>
> Hi everyone,
>
> I'm trying to calculate correlation coefficients between corresponding
> columns in two matrices with identical dimensions but different data. The
> problem is that the matrices contain NAs in different locations. I am
> using the following code to try to calculate correlations between complete
> sets of data:
>
> #Code start
> maxcol<-ncol(mat1)
> for (i in 1:maxcol)
> {
> corr_results[1,i]<-cor(mat1[,i],mat2[,i], use="complete.obs")
> }
> #Code end
>
> ...but I get the following error message:
>
> Error in cor(mat1[,i], mat2[,i], use="complete.obs") :
> no complete element pairs
>
> Is there something I'm not including in the 'cor' parentheses? I apologise
> for not including the true original data frames.
>
> Thanks,
>
> rcoder
>
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