How to interpret dplyr message `summarise()` regrouping output by 'x ...
Jun 1, 2020 · I started getting a new message (see post title) when running group_by and summarise() after updating to dplyr development version 0.8.99.9003. Here is an example to recreate the output: …
r - Summarise + case_when with n () - Stack Overflow
Sep 9, 2023 · I wonder what I am doing wrong here. I am trying to use case_when () with summarise () to get a summary for each, depending on the number of rows for each id. library (dplyr, warn.conflicts …
r - Understanding the purpose of .groups = "drop" in dplyr's …
May 3, 2024 · I'm having trouble grasping the purpose of .group = "drop" in dplyr's summarise function. I'm attempting to execute the following code to display the top 20 stations along with their resp...
Finding percentage in a sub-group using group_by and summarise
Apr 10, 2015 · Finding percentage in a sub-group using group_by and summarise Ask Question Asked 10 years, 11 months ago Modified 2 years, 6 months ago
r - Stop warnings with summarise - Stack Overflow
Dec 14, 2021 · Stop warnings with summarise Ask Question Asked 4 years, 3 months ago Modified 3 years, 10 months ago
r - dplyr - summary table for multiple variables - Stack Overflow
Jan 4, 2016 · How to create simple summary statistics using dplyr from multiple variables? Using the summarise_each function seems to be the way to go, however, when applying multiple functions to …
r - dplyr summarise_each with na.rm - Stack Overflow
Sep 10, 2014 · Is there a way to instruct dplyr to use summarise_each with na.rm=TRUE? I would like to take the mean of variables with summarise_each("mean") but I don't know how to specify it to ignore …
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...
r - dplyr - summarise with condition - Stack Overflow
Apr 4, 2021 · Or another option is to convert to 'long' format with pivot_longer, do the filter/group_by/summarise and then reshape to 'wide' with pivot_wider
r - dplyr summarise: Equivalent of ".drop=FALSE" to keep groups with ...
When using summarise with plyr's ddply function, empty categories are dropped by default. You can change this behavior by adding .drop = FALSE. However, this doesn't work when using summarise …