Performance: as.factor > factor when input is integer A factor variable is the next of kin of an integer variable. ... This means that converting an integer to a factor is easier than converting a numeric / character to a factor. as.factor just takes care of this.
Why use as.factor () instead of just factor () - Stack Overflow
The levels of a factor are stored as character data type anyway (attributes(f)), so I don't think there is anything wrong with as.numeric(paste(f)). Perhaps it would be better to think why (in the specific context) you are getting a factor in the first place, and try to stop that. E.g., is the dec argument in read.table set correctly?
r - How to convert a factor to integer\numeric without loss of ...
The complete conversion of every character variable to factor usually happens when reading in data, e.g., with stringsAsFactors = TRUE, but this is useful when say, you've read data in with read_excel() from the readxl package and want to train a random forest model that doesn't accept character variables.
azure-active-directory multi-factor-authentication azure-ad-b2b authenticator asked at 18:04 successhawk 3,419 5 37 53
multi factor authentication - How does a Guest User reset their MS ...
Re-ordering factor levels in data frame [duplicate] Asked 12 years, 8 months ago Modified 4 years, 8 months ago Viewed 261k times
r - Nesting a random factor in GLM (M) - Stack Overflow
On different types of trees the branching factor can be either a static value throughout the tree, which only happens in perfect binary trees or an average branching factor which is most time the case for trees. The branching factor is one characteristic of a node next to depth and gives a clue how complex a tree gets.