Quick way to combine several pairs of columns into one column for each pair
In R I am trying to combine pairs of columns in order to find the maximum value between the pairs of columns.
Quick way to combine several pairs of columns into one column for each pair
In R I am trying to combine pairs of columns in order to find the maximum value between the pairs of columns.
Quick way to combine several pairs of columns into one column for each pair
In R I am trying to combine pairs of columns in order to find the maximum value between the pairs of columns.
Most idiomatic way to mutate multiple similar columns?
I’m generating multiple columns in a mutate() call, all by using a function of 1) an already-existing column and 2) some value which is different for each output column. The following code produces what I want, but it smells:
Selecting columns based on multiple conditionals (including string matching) using dplyr
Having fun testing out the capabilities of the select_if() function, especially learning how to bundle multiple conditionals together for column selection.
substringing {.col} from mutate(across()) on the fly
Say I have the following data:
Moving values from of a given row in one column to correspond to a different row in R
I have novice experience with programming and the R language. I have the following sample of my dataset:
Return list of which column ID and year has missing (NA) data only for all the other columns in R
ID Year Maths_sub Eng_sub Chem_sub Comp_sub 1 2010 20 15 12 NA 2 2015 17 20 14 16 3 2012 NA 17 12 NA 4 2015 14 13 NA NA 5 2016 NA NA NA NA 6 2015 NA NA NA NA Hello, I want to know for the above table which ID and for […]