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2. r - Why use as.factor() instead of just factor() - Stack Overflow

   stackoverflow.com/questions/39279238

   ‘factor(x, exclude = NULL)’ applied to a factor without ‘NA’s is a no-operation unless there are unused levels: in that case, a factor with the reduced level set is returned. ‘as.factor’ coerces its argument to a factor. It is an abbreviated (sometimes faster) form of ‘factor’. Performance: as.factor > factor when input is a factor

3. r - How to convert a factor to integer\numeric without loss of...

   stackoverflow.com/questions/3418128

   But annoyingly, there is nothing to handle the factor -> numeric conversion. As an extension of Joshua Ulrich's answer, I would suggest to overcome this omission with the definition of your own idiomatic function: as.double.factor <- function(x) {as.numeric(levels(x))[x]}

4. r - Changing factor levels with dplyr mutate - Stack Overflow

   stackoverflow.com/questions/28190435

   From my understanding, the currently accepted answer only changes the order of the factor levels, not the actual labels (i.e., how the levels of the factor are called). To illustrate the difference between levels and labels , consider the following example:

5. Convert data.frame column format from character to factor

   stackoverflow.com/questions/9251326

   I would like to change the format (class) of some columns of my data.frame object (mydf) from charactor to factor. I don't want to do this when I'm reading the text file by read.table() function. ...

6. How to force R to use a specified factor level as reference in a...

   stackoverflow.com/questions/3872070

   When creating the factor from b you can specify the ordering of the levels using factor(b, levels = c(3,1,2,4,5)). Do this in a data processing step outside the lm() call though. My answer below uses the relevel() function so you can create a factor and then shift the reference level around to suit as you need to. –

7. How do I convert certain columns of a data frame to become...

   stackoverflow.com/questions/13613913

   Using a factor will require that all values are mapped to IDs behind the scenes, so any print of your data.frame requires a lookup on those levels -- an extra step which takes time. Factors are great when storing strings which you don't want to store repeatedly, but would rather reference by their ID.

8. r - Coerce multiple columns to factors at once - Stack Overflow

   stackoverflow.com/questions/33180058

   As of 2021 (still current in early 2023), the current tidyverse/dplyr approach would be to use across, and a <tidy-select> statement.

9. What are the differences between a factor and a vector in R?

   stackoverflow.com/questions/74695881

   We commonly use c() to create a vector, but note that even something as simple as x <- "a" or y <- 0 will create a vector, which happens to be of length 1. A factor is a very specific type of vector that is an odd mix of numeric and character, which at first glance seems like a character, but under the hood is actually numeric.

10. Pandas - make a column dtype object or Factor - Stack Overflow

    stackoverflow.com/questions/15723628

    Factor and Categorical are the same, as far as I know. I think it was initially called Factor, and then changed to Categorical. To convert to Categorical maybe you can use pandas.Categorical.from_array, something like this:

11. Convert all data frame character columns to factors

    stackoverflow.com/questions/20637360

    Given a (pre-existing) data frame that has columns of various types, what is the simplest way to convert all its character columns to factors, without affecting any columns of other types?