Trouble with creating a custom summary function for grouped data with dplyr in R
I tried several approaches but none seem to work. I'm testing a new approach and I've been struggling with this for a few days now and could really use some help... This might be a silly question, but I’m trying to create a custom summary function using `dplyr` to calculate the median and interquartile range (IQR) for groups in my data frame. However, when I apply this function with `summarise()`, I keep getting unexpected results, such as incorrect IQR values. Here’s the code I’ve written: ```r library(dplyr) # Sample data frame set.seed(123) data <- data.frame( group = rep(letters[1:3], each = 10), value = c(rnorm(10, mean = 5), rnorm(10, mean = 10), rnorm(10, mean = 15)) ) # Custom summary function custom_summary <- function(x) { return(c(median = median(x), IQR = IQR(x))) } # Applying the custom summary function result <- data %>% group_by(group) %>% summarise(custom = custom_summary(value)) print(result) ``` When I run this code, I expect to see a data frame with median and IQR for each group, but instead, I receive something like this: ``` # A tibble: 3 x 2 group custom <chr> <dbl> 1 a 4.66 3.23 2 b 9.78 3.46 3 c 14.75 2.95 ``` The scenario appears to be that the `custom` column contains a vector instead of separate columns for median and IQR. I've tried using `tidyselect` to unpack the results into separate columns, but it hasn't worked as expected. I'm using `dplyr` version 1.0.7. How can I modify my approach to correctly store the results in two separate columns for each statistic without running into this scenario? My development environment is Windows. Am I missing something obvious? I'm developing on Ubuntu 22.04 with R. I'd be grateful for any help. My development environment is macOS. The project is a microservice built with R. Am I missing something obvious?