split data frame into two by column value

Question

I have a data frame in R where one of the columns is gender. The values of gender are factors with "f" or "m" though if the data set is bad, it could be more (for instance NA).

I'm trying to split the data frame into a list of data frames with gender being unique. This way I can run the same models on the different populations.

Is there a better way then basically:

dfMale <- mydata[which(mydata$gender == "m"),]
dfFemale <- mdata[which(mydata$gender == "f"),]
dfOther <- mydata[!(1:dim(mydata][1] %in% c(which(mydata$gender == "m"),which(mydata$gender == "f"))]

Thanks.

Have a lot at functions subset or split. – KFB Oct 09 '14 at 20:59 — KFB, Oct 09 '14 at 20:59

score 20 · Accepted Answer · edited May 23 '17 at 10:28

20

X<-split(df, df$gender)

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Split data.frame based on levels of a factor into new data.frames

edited May 23 '17 at 10:28

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answered Oct 09 '14 at 20:56

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split data frame into two by column value

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