Then, we use ifelse() function to recode the categorical data to numeric variables. Firstly, we use recode() available in dplyr package (Wickham et al., 2020). Here are three ways of converting character to numeric by recoding categorical variables.
#CONVERT FACTOR TO NUMERIC R HOW TO#
In this part, we learn how to convert character to numeric by recoding categorical variables. How to Recode Categorical Variables Converting Character to Numeric Newvals <- factor(c("apple", "banana", "carrot"))Īlso Check: How to Clean Data in R 3. Last, we convert character to factor with match() function.ĭplyr::recode_factor(data, a = "apple", b = "banana", c = "carrot")įorcats::fct_recode(data, apple = "a", banana = "b", carrot = "c")
Secondly, we convert character to factor with fct_recode() function in forcats R package (Wickham, 2020). Firstly, we use recode_factor() available in dplyr package (Wickham et al., 2020). We learn three ways of converting character to factor by renaming categorical variables. In this section, we recode the character variable and convert its data type to factor. character (factorvector)) We must first convert the factor vector to a character vector, then to a numeric vector. How to Recode Categorical Variables Converting Character to Factor We can use the following syntax to convert a factor vector to a numeric vector in R: numericvector <- as. Newvals <- c("apple", "banana", "carrot")Īlso Check: How to Handle Missing Values in R 2. When a factor is converted into a numeric vector, the numeric codes corresponding to the factor levels. Step 2: The factor is converted into a numeric vector using as.numeric (). The factor () command is used to create and modify factors in R. Plyr::mapvalues(data, from = c("a", "b", "c"), to = c("apple", "banana", "carrot")) There are two steps for converting factor to numeric: Step 1: Convert the data vector into a factor. I have a data which contains factor class, so while converting it to numeric, i'm getting this warning message. Plyr::revalue(data, c(a = "apple", b = "banana", c = "carrot")) # "apple" "banana" "carrot" "banana" "apple" Dplyr::recode(data, a = "apple", b = "banana", c = "carrot")