Pivoting multiple sets of columns using pivot_longer in R. 2. r - Pivot Longer distributing values into multiple columns. 3. pivot_longer with multiple columns in R. You can use {tidyr}'s pivot_longer here. If your actual variables are named a bit differently, you can adapt the regex to your case. Here you can try out and adapt accordingly . (Note that in R the backslash has to be escaped, therefore the double backslash in \\d+ and \\w+) However, later on in my report, I was showing some plots of the distribution on my data and had been using pivot_longer to show multiple variables in the same graph. It worked when i had the scale function originally, but now I'm struggling with using datawizard::standardize. Or another option is to return the list and then use unnest_wider on the list columns. data %>% pivot_wider (names_from = priority, values_from = diagnosis, values_fn = list) %>% unnest_wider (where (is.list), names_sep = "_") -output. # A tibble: 2 × 5 id primary_1 primary_2 secondary_1 tertiary_1 1 1 depression Gather columns into key-value pairs. Source: R/gather.R. Development on gather () is complete, and for new code we recommend switching to pivot_longer (), which is easier to use, more featureful, and still under active development. df %>% gather ("key", "value", x, y, z) is equivalent to df %>% pivot_longer (c (x, y, z), names_to = "key . You could use. library (dplyr) library (tidyr) df %>% pivot_longer (-c (ID, State), names_to = c ("Time", ".value"), names_pattern = " (Time\\d) (.*)", values_drop_na = TRUE) This returns. # A tibble: 9 x 5 ID State Time Day Month 1 id-1 MD Time1 1 1 2 id-1 MD Time2 9 12 3 id-1 MD Time3 7 1 4 id-2 MD Time1 12 4 5 I'm trying to pivot_longer 34 columns of a data set with about 10,000 rows in R. The data was collected via survey, and each column represents a possible answer to a question. I want to pivot_longer one of the questions, which had 34 possible answers, and account for 34/107 columns. The columns have a value (1) if that answer was selected, and Here's how you can use pivot_longer (): Code: library (tidyr) data <- data.frame (ID = c ( 1, 2, 3 ), Day1 = c ( 25, 30, 20 ), Day2 = c ( 22, 28, 18 ), Day3 = c ( 20, 25, 15 )) long_data <- pivot_longer (data, cols = starts_with ("Day"), names_to = "Day", values_to = "Value") print (long_data) Output: I am using m instead of matrix as the name of your matrix since "matrix" is the name of a function in R.. Also, pivot_longer() replaced gather() in tidyr. You can use tibble::rownames_to_column() before transforming your data to the long format (but you need to transform your matrix to a data frame first as the function will only work on a data frame): xtabs (Val ~ SEZ + Class, df1) We need to convert the Output column "Val" into numeric, and later return it back to their text. This script do the work ( R version 4.3.1 (2023-06-16)dplyr 1.1.2. I will write another post () with this issue in case this one does not match fully with the question. Hope this helps!

how to use pivot_longer in r