‘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 …

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, …

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?

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 data …

Aug 24, 2013 · Re-ordering factor levels in data frame [duplicate] Asked 12 years, 3 months ago Modified 4 years, 2 months ago Viewed 255k times

Jan 28, 2015 · 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).

Sep 12, 2014 · I want to group a data frame by a column (owner) and output a new data frame that has counts of each type of a factor at each observation. The real data frame is fairly large, and there are …

Dec 6, 2018 · 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 …

Oct 12, 2021 · (2) I cannot find a question about ordering (of axis or legend elements) in ggplot2 that is not completely resolved by the use of factor(., levels=). When you define the factor and specify the …

I'm trying to calculate the variance inflation factor (VIF) for each column in a simple dataset in python: a b c d 1 2 4 4 1 2 6 3 2 3 7 4 3 2 8 5 4 1 9 4 I have ...