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The title says it all, I ordered a factor variable when I generated it, now I would like to remove the ordering and use it as an unordered factor variable. And another question, if I use my factor variable as a predictor in a regression does it make a difference to R if it is ordered (ordinal) or simple factor variable (categorical)?
837
The droplevels() function in R can be used to drop unused factor levels. This function is particularly useful if we want to drop factor levels that are no longer used due to subsetting a vector or a data frame. where x is an object from which to drop unused factor levels.
How do I Rename Factor Levels in R? The simplest way to rename multiple factor levels is to use the levels() function. For example, to recode the factor levels “A”, “B”, and “C” you can use the following code: levels(your_df$Category1) <- c("Factor 1", "Factor 2", "Factor 3") .
To sort a numerical factor column in an R data frame, we would need to column with as. character then as. numeric function and then order function will be used.
Check if a Factor is an Ordered Factor in R Programming – is. ordered() Function. is. ordered() function in R Programming Language is used to check if the passed factor is an ordered factor.
All you need is
x <- factor( x , ordered = FALSE )
e.g.
x <- factor( c(1,2,"a") , ordered = TRUE )
x
#[1] 1 2 a
#Levels: 1 < 2 < a
x <- factor( x , ordered = FALSE )
x
#[1] 1 2 a
#Levels: 1 2 a
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