The following code returns new dummy columns from a categorical variable.
DF <- data.frame(strcol = c("A", "A", "B", "F", "C", "G", "C", "D", "E", "F"))
for(level in unique(DF$strcol)){
DF[paste("strcol", level, sep = "_")] <- ifelse(DF$strcol == level, 1, 0)}
About Author:
Deepanshu founded ListenData with a simple objective - Make analytics easy to understand and follow. He has over 10 years of experience in data science. During his tenure, he has worked with global clients in various domains like Banking, Insurance, Private Equity, Telecom and Human Resource.
Is there a faster data.table way to do that?
ReplyDeleteIs there a faster data.table way to do that?
ReplyDelete