Sorted by: 3. With tidyverse, we can pivot on the two sets of columns that starts with belief and norm. We can then use regex to split into groups according to the first underscore (since some column names have multiple underscores). Essentially, we are saying to put belief or norm (the first group in the column name) into their own columns (i The function works like this: pivot_wider(data = data.frame, id_cols = identifying_columns, names_from = "Col with Names", values_from = "Col with Values") data. is just the data frame you want to reshape. id_cols. lists the columns that contain essential identifying information for each observation. names_from. Is there a way to use pivot_wider() to widen ALL columns except for any columns that I specify as columns that uniquely identify each observation using id_cols (i.e., ID and time). I’d like the solution to be extendable to the case where I have many columns (and thus do not want to specify variable names or ranges for variables to be widened). The pivot_longer() function from the tidyr package in R can be used to pivot a data frame from a wide format to a long format. If you’d like to use this function to pivot all of the columns in the data frame into a long format, you can use the following syntax: library (tidyr) df_long <- pivot_longer(df, cols = everything()) Pivot data from wide to long. Source: R/verb-pivot-longer.R. pivot_longer () "lengthens" data, increasing the number of rows and decreasing the number of columns. The inverse transformation is `tidyr::pivot_wider ()] Learn more in vignette ("pivot", "tidyr"). While most functionality is identical there are some differences to pivot_longer () on However, if your column names followed a pattern, where we could tell which test group each column was related to, pivot_longer() could work for you. Here's your same dataset with new column names to indicate which values are stored in the column (Obs vs Sample) and which test groups each column is related to (the group letters). One option would be to use the names_pattern argument and the special .value. To make this work I first add a helper month to your population columns. Additionally I use tidyr::fill to fill up the population column: Collectives™ on Stack Overflow – Centralized & trusted content around the technologies you use the most. m4F0.

how to use pivot_longer in r