Relative frequencies / proportions with dplyr - Stack Overflow
Suppose I want to calculate the proportion of different values within each group. For example, using the mtcars data, how do I calculate the relative frequency of number of gears by am …
Using dplyr to conditionally replace values in a column
Using dplyr to conditionally replace values in a column Asked 9 years, 8 months ago Modified 1 year, 8 months ago Viewed 161k times
r - Remove duplicated rows using dplyr - Stack Overflow
Most of the time, the best solution is using distinct() from dplyr, as has already been suggested. However, here's another approach that uses the slice() function from dplyr.
How to use or/and in dplyr to subset a data.frame
How to use or/and in dplyr to subset a data.frame Asked 11 years, 4 months ago Modified 5 years, 1 month ago Viewed 94k times
r - dplyr filter () with SQL-like %wildcard% - Stack Overflow
I'm trying to use the SQL-equivalent wildcard filter on a particular input string to dplyr::filter, using the %like% operator from the data.table package. What am I doing wrong?
Removing NA observations with dplyr::filter () - Stack Overflow
Mar 4, 2015 · Removing NA observations with dplyr::filter () Asked 10 years, 8 months ago Modified 2 years, 7 months ago Viewed 229k times
How to select the rows with maximum values in each group with …
Closed 6 years ago. I would like to select a row with maximum value in each group with dplyr. Firstly I generate some random data to show my question
r - Using case_when with dplyr across - Stack Overflow
Oct 3, 2020 · I'm trying to translate a mutate_at() to a mutate() using dplyr's new "across" function and a bit stumped. In a nutshell, I need to compare the values in …
r - How to sum a variable by group - Stack Overflow
4 With dplyr 1.1.0 and above, you can use .by in summarise. This shortcut avoids to use group_by and returns an ungroup ed data frame:
r - Stop warnings with summarise - Stack Overflow
Dec 14, 2021 · I want to know how to stop the warning: summarise() has grouped output by 'Var'. You can override using the .groups argument. when I use: group_by(Var) %>% …