(This article was first published on

Previously, I shared with the world a function to create a pairwise matrix of the number of transitions and transversions between two DNA sequences. Klaus Schliep kindly pointed out the possibility of a bug in the function and offered a faster, more accurate version. Thanks Klaus!**The Praise of Insects**, and kindly contributed to R-bloggers)

titv<-function(dat){

mat<-as.matrix(dat)

res<-matrix(NA, ncol=dim(mat)[1], nrow=dim(mat)[1], dimnames=list(x=names(dat), y=names(dat)))

for(i in 1:(dim(mat)[1] - 1)){

for(j in (i+1):dim(mat)[1]){

vec<-as.numeric(mat[i,])+as.numeric(mat[j,])-8

res[j,i]<-sum(!is.na(match(vec,c(200,56))))#Transitions

res[i,j]<-sum(!is.na(match(vec,c(152,168,88,104))))#Transversions

}

}

res

}

The previous version of the function considered the difference between an unknown base (coded as N) and a T as a transition. The new version does not detect this difference.

To

**leave a comment**for the author, please follow the link and comment on his blog:**The Praise of Insects**.R-bloggers.com offers

**daily e-mail updates**about R news and tutorials on topics such as: visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...