🦕 How To Use Pivot_Longer In R

You can then use simple tidyselect helper functions to grab the columns you would like to pivot_longer. For instance, replace all column names with e.g. YRxxxx where xxxx is the relevant year. For instance, replace all column names with e.g. YRxxxx where xxxx is the relevant year. I see two steps that might be handled before transforming the table into a wide format. The year column has to be created by the number inside the name column; In the name column the numbers has to be removed. I chose to use mutate in my original solution in the comments to split this column into two columns with equivalent info, a loop_number column and a question_number column. spread can then be used to transform the long form data, which are key value pairs (question_number, value) to wide form data. Stacking multiple columns using pivot longer in R. 0. R: Pivot longer by combining the columns based on a factor. 0. pivot longer with multiple columns and values. 1. Tidy data. Tidy data is a standard way of mapping the meaning of a dataset to its structure. A dataset is messy or tidy depending on how rows, columns and tables are matched up with observations, variables and types. In tidy data: Every column is a variable. Every row is an observation. Every cell is a single value. To pivot the data frame in R from long to wide format, I will apply the function pivot_wider from the tidyr. This function is relatively easy to use. I think it is one of to most popular choices to do this task. Here is my data frame that contains randomly generated values. Here is more about that. Pivot data from long to wide. Source: R/pivot-wide.R. pivot_wider () "widens" data, increasing the number of columns and decreasing the number of rows. The inverse transformation is pivot_longer (). Learn more in vignette ("pivot"). 2. It is not recommended to have duplicate column names, therefore, we modify the 'name' column by appending an unique index created with rowid, and use that to reshape with pivot_wider. library (dplyr) library (tidyr) library (stringr) library (data.table) long_df %>% mutate (name = str_c (name, "_", rowid (ID, name))) %>% pivot_wider (names I would like to use pivot_longer() from {tidyr} with names_pattern to convert my data to long format while keeping the prefix string from one of the pattern matches in the column names. This seems counter-intuitive, but I want to convert to long format before applying data dictionary cleaning steps, which requires the original column names. Set-up The pivot_longer and pivot_wider functions in the tidyr package can be used to convert data into long and wide format, respectively. You may already be familiar with data in wide format; one example of wide data is a gene expression data, where gene. expression for a gene is measured in different tissues. Please don't add images of the data, add a reproducible example using dput. Please read the info about how to ask a good question and how to give a reproducible example . – Ronak Shah 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: Now, I would like to usepivot_wider to keep the name and age_group but "compute" a new variable with the t2 result of the parents_total. In this example, age_group may change. If possible, I would like to compute this "t2" variable if age_group remained the same. But pivot_longer / pivot_wider are definitely friendlier on first use than gather / spread. The naming of both the functions themselves and their arguments feel like a definite improvement. long <- pivot_longer (fake_data, 2:3, names_to = "variable", values_to = "value") # A tibble: 40 x 3 id variable value 1 1 variable1 0.103 2 1 variable2 -0. How can I use pivot_longer in my matrix? Note: My actual expected output is like the below one. Because, ID_3 ID_5 3 and ID_5 ID_3 3 are same (in terms of concept). .

how to use pivot_longer in r