‘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 …

Feb 26, 2022 · 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 …

You should do the data processing step outside of the model formula/fitting. 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 …

Dec 28, 2014 · 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?

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, …

addNA modifies a factor by turning NA into an extra level (so that NA values are counted in tables, for instance). So another reason this is nice is because if you already have a factor f, you can use …

Jul 17, 2017 · A couple comments: reordering a factor is modifying a data column. The command to modify a data column is . All does is re-order rows, this has no effect on the levels of the factor and …

May 5, 2015 · Filter factor levels in R using dplyr Asked 10 years, 7 months ago Modified 10 years, 7 months ago Viewed 67k times

Dec 17, 2014 · Closed 10 years ago. I have a data.frame whose class column is Factor. I'd like to convert it to numeric so that I can use correlation matrix.

A load factor=1 hashmap with number of entries=capacity will statistically have significant amount of collisions (=when multiple keys are producing the same hash). When collision occurs the lookup time …