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- 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
- r - Re-ordering factor levels in data frame - Stack Overflow
Re-ordering factor levels in data frame [duplicate] Asked 12 years, 3 months ago Modified 4 years, 2 months ago Viewed 255k times
- factor () command in R is for categorical variables with hierarchy . . .
I'm quite confused on when to use factor (educ) or factor (agegroup) in R Is it used for categorical ordered data? or can I just use to it a simple categorical data with no hierarchy? I
- python - Factor collect expression in Sympy - Stack Overflow
Factor collect expression in Sympy Asked 13 years, 8 months ago Modified 11 years, 1 month ago Viewed 10k times
- r - Replace lt;NA gt; in a factor column - Stack Overflow
In `[<- factor`(`*tmp*`, iseq, value = c(88, 88)) : invalid factor level, NA generated I think I missed a fundamental R concept about factors Am I? I can not understand why it doesn't work I think invalid factor level means that 88 is not a valid level in that factor, right? So I have to tell the factor column that there is another level?
- 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 - Extract the level from a factor - Stack Overflow
Extract the level from a factor Asked 10 years, 5 months ago Modified 5 years, 1 month ago Viewed 20k times
- 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
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