Issues with using `lapply()` on a list of data.frames in R while preserving row names
I'm updating my dependencies and After trying multiple solutions online, I still can't figure this out..... I'm prototyping a solution and I'm currently trying to apply a function to a list of data.frames using `lapply()`, but I'm running into issues with preserving the row names after the function is applied. I've defined a function that calculates the mean of a specific column and returns a data.frame, but when I use `lapply()`, the resulting list has lost the original row names, which is causing confusion in my analysis. Here's a snippet of my code: ```r # Sample data set.seed(42) df1 <- data.frame(A = rnorm(5), B = rnorm(5)) df2 <- data.frame(A = rnorm(5), B = rnorm(5)) df_list <- list(df1 = df1, df2 = df2) # Function to calculate mean and return data.frame mean_function <- function(df) { return(data.frame(Mean_A = mean(df$A))) } # Applying function using lapply result <- lapply(df_list, mean_function) ``` After running this code, I noticed that the `result` list has lost the names: `result` shows up as a list of unnamed data.frames. I need to keep the names so that I can easily identify which mean belongs to which original data.frame. I've tried using `setNames()` in combination with `lapply()`, but that hasn't worked as expected: ```r result <- setNames(lapply(df_list, mean_function), names(df_list)) ``` While this approach does give me names back, I'm still not able to preserve the structure and visual clarity of row names within each data.frame. Is there a way to modify my approach to either maintain the original row names within each data.frame or ensure that the result is easier to work with later? I'm using R version 4.2.1. Any help would be greatly appreciated! This issue appeared after updating to R LTS. I'm open to any suggestions. Any ideas how to fix this? I appreciate any insights! Any advice would be much appreciated.