|
- Why use as. factor () instead of just factor () - Stack Overflow
‘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 The word "no-operation" is a bit ambiguous
- Convert existing dataframe variable to factor in Tidyverse
When you have an existing character variable in a dataframe, is there an easy method for converting that variable to a factor using the tidyverse format? For example, the 2nd line of code below won't reorder the factor levels, but the last line will
- r - list all factor levels of a data. frame - Stack Overflow
with dplyr::glimpse(data) I get more values, but no infos about number values of factor-levels Is there an automatic way to get all level informations of all factor vars in a data frame?
- r - How to convert a factor to integer\numeric without loss of . . .
See the Warning section of ?factor: In particular, as numeric applied to a factor is meaningless, and may happen by implicit coercion To transform a factor f to approximately its original numeric values, as numeric(levels(f))[f] is recommended and slightly more efficient than as numeric(as character(f)) The FAQ on R has similar advice
- r - Changing factor levels with dplyr mutate - Stack Overflow
19 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:
- How to reorder factor levels in a tidy way? - Stack Overflow
A couple comments: reordering a factor is modifying a data column The dplyr command to modify a data column is mutate All arrange does is re-order rows, this has no effect on the levels of the factor and hence no effect on the order of a legend or axis in ggplot All factors have an order for their levels The difference between an ordered = TRUE factor and a regular factor is how the
- Convert all data frame character columns to factors
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? Here's an
- Filter factor levels in R using dplyr - Stack Overflow
Filter factor levels in R using dplyr Asked 10 years, 7 months ago Modified 10 years, 7 months ago Viewed 67k times
|
|
|