The pivot_wider() function from the tidyr package in R can be used to pivot a data frame from a long format to a wide format. If you’d like to use this function to pivot multiple columns, you can use the following syntax: library (tidyr) df_wide <- pivot_wider(df, names_from=group, values_from=c(values1, values2)) The columns you select in pivot_longer have no common type, i.e. cat1 and cat2 are numerics and cat3 is character. You can convert them all to characters in advance, or use the argument values_ptypes to specify the type. Step 1 Identify the column whose values will supply the column names. pivot_wider () turns the values from one column and turns them into column names. In our example, we want the unique values from year to become column names. pivot_wider () ’s names_from argument controls which column is pivoted into column names. Description. pivot_longer () "lengthens" the data, increasing the number of rows and decreasing the number of columns. I thought about this conceptually using pivot long, but I am unsure how to do this as I am almost pivoting within column values. Also tried splitting the columns into multiple, but I run into the problem that there are different orders and amounts of event per id. Thanks for the help! The package tidyr provides tools to help you get your input data into a standardized tidy dataframe. Some of the tasks that tidyr can help with include: pivoting: changing the representation of a rectangular dataset (e.g. reshaping from long to wide format) rectangling: turning nested lists into tibbles. 9rokf. When manipulating your data, you might want to change the shape of our data from long data to wide data. This video will walk you through how to use pivot_wi 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). We didn't need to use values_to to indicate where values would go in pivot_longer. Based on names_pattern regex you will get 2 different components. The first is the string/word before the number, which is d or d_br. When you use .value in names_to then these become the column names where your Use pivot_longer() to change data from wide to long data. This is part of the R programming for beginners series. If you are learning data analysis or statis The package tidyr provides tools to help you get your input data into a standardized tidy dataframe. Some of the tasks that tidyr can help with include: pivoting: changing the representation of a rectangular dataset (e.g. reshaping from long to wide format) rectangling: turning nested lists into tibbles. 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.

how to use pivot_longer in r