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I have a variable, called gender, with binary categorical values "female"/"male". I want to change its type to integers 0/1 so that I can use it in a regression analysis. i.e I want values "female" and "male" to be mapped to 1 and 0.
> str(gender)
gender : Factor w/ 2 levels "female","male": 1 1 1 0 0 0 0 1 1 0 ...
> gender[1]
[1] female
I would like to convert gender variable type so that I get int value 1 when I query an element, i.e.
> gender[1]
[1] 1
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To change the code “Yes” to 1, we can use ifelse function and set the Yes to 1 and others to 0. For example, if we have a data frame called df that contains a character column x which has Yes and No values then we can convert those values to 1 and 0 using the command ifelse(df$x=="Yes",1,0).
There are two steps for converting factor to numeric: Step 1: Convert the data vector into a factor. The factor() command is used to create and modify factors in R. Step 2: The factor is converted into a numeric vector using as. numeric().
Convert an Integer to a Binary value in R Programming – as. binary() Function. as. binary() function in R Language is used to convert an integer value to a binary value.
Convert to a factor and let R take care of the rest. You should never have to take care of explicitly creating dummy variables when using R.
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