R : Converting Multiple Numeric Variables to Factor

In R, you can convert multiple numeric variables to factor using lapply function. The lapply function is a part of apply family of functions. They perform multiple iterations (loops) in R. In R, categorical variables need to be set as factor variables. Some of the numeric variables which are categorical in nature need to be transformed to factor so that R treats them as a grouping variable.

Converting Numeric Variables to Factor
  1. Using Column Index Numbers
In this case, we are converting first, second, third and fifth numeric variables to factor variables. mydata is a data frame.
names <- c(1:3,5)
mydata[,names] <- lapply(mydata[,names] , factor)
     2. Using Column Names

In this case, we are converting two variables 'Credit' and 'Balance' to factor variables.
names <- c('Credit' ,'Balance')
mydata[,names] <- lapply(mydata[,names] , factor)
    3.  Converting all variables
col_names <- names(mydata)
mydata[,col_names] <- lapply(mydata[,col_names] , factor)
    4.  Converting all numeric variables
mydata[sapply(mydata, is.numeric)] <- lapply(mydata[sapply(mydata, is.numeric)], as.factor)
    5. Checking unique values in a variable and convert to factor only those variables having unique count less than 4
col_names <- sapply(mydata, function(col) length(unique(col)) < 4)
mydata[ , col_names] <- lapply(mydata[ , col_names] , factor)
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Deepanshu founded ListenData with a simple objective - Make analytics easy to understand and follow. He has over 8 years of experience in data science. During his tenure, he has worked with global clients in various domains like Banking, Insurance, Telecom and Human Resource.

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4 Responses to "R : Converting Multiple Numeric Variables to Factor"
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