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, 5 months ago Modified 5 years, 3 months ago Viewed 94k times
Using dplyr to conditionally replace values in a column
Using dplyr to conditionally replace values in a column Asked 9 years, 9 months ago Modified 1 year, 9 months ago Viewed 162k times
r - Remove duplicated rows using dplyr - Stack Overflow
15 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.
r - Change value of variable with dplyr - Stack Overflow
Change value of variable with dplyr Asked 10 years, 10 months ago Modified 2 years, 3 months ago Viewed 269k times
Can dplyr join on multiple columns or composite key?
Can dplyr join on multiple columns or composite key? Asked 11 years, 1 month ago Modified 2 years, 3 months ago Viewed 275k times
Removing NA observations with dplyr::filter () - Stack Overflow
Mar 4, 2015 · Removing NA observations with dplyr::filter () Asked 10 years, 9 months ago Modified 2 years, 8 months ago Viewed 230k times
dplyr: order columns alphabetically in R - Stack Overflow
dplyr: order columns alphabetically in R Asked 10 years, 7 months ago Modified 9 months ago Viewed 115k times
r - Sum across multiple columns with dplyr - Stack Overflow
Mar 5, 2015 · My question involves summing up values across multiple columns of a data frame and creating a new column corresponding to this summation using dplyr. The data entries in the columns …
r - Count number of rows by group using dplyr - Stack Overflow
I am using the mtcars dataset. I want to find the number of records for a particular combination of data. Something very similar to the count(*) group by clause in SQL. ddply() from plyr is working...
dplyr - Creating multiple NEW columns using across () in R - Stack …
Aug 9, 2023 · The difference between my question and existing questions is that I want to create new columns with mutate that do not depend on existing columns. Some dummy data: library (dplyr) dat < …