reshape: from long to wide format
[This article was first published on One Tip Per Day, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
This is to continue on the topic of using the melt/cast functions in reshape to convert between long and wide format of data frame. Here is the example I found helpful in generating covariate table required for PEER (or Matrix_eQTL) analysis:Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Here is my original covariate table:
Let’s say we need to convert the categorical variables such as condition, cellType, batch, replicate, readLength, sex into indicators (Note: this is required by most regression programs like PEER or Matrix-eQTL, since for example the batch 5 does not match it’s higher than batch 1, unlike the age or PMI). So, we need to convert this long format into wide format. Here is my R code for that:
library(reshape2)
categorical_varaibles = c(“batch”, “sex”, “readsLength”, “condition”, “cellType”, “replicate”);
for(x in categorical_varaibles) {cvrt = cbind(cvrt, value=1); cvrt[,x]=paste0(x,cvrt[,x]); cvrt = dcast(cvrt, as.formula(paste0(“… ~ “, x)), fill=0);}
To leave a comment for the author, please follow the link and comment on their blog: One Tip Per Day.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.