I am trying to create a table from a data set that takes two factors from a variable, pivots them wider, and lines them up in a single row. Unfortunately, I either keep producing two separate lists, or I get this: dput (head (test1, 5)) # Edited section: test1 % # Code used to create the table below select (`Incident ID`,`Device Time 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.
We will aim to reshape the tidy data to wider form such that year variable is on columns and the mobile_subs are values in the wide dataframe. We can reshape using tidyr’s pivot_wider () function. We first select only the variables of interest to reshape and then use pivot_wider () with arguments “names_from” and “values_from”.
The code doesn't necessarily fail but return a warning since you have more than one value in each cell. If the number of values in each column are going to be the same you can unnest the list output. library (dplyr) library (tidyr) df %>% pivot_longer (starts_with ('Data'), values_drop_na = TRUE) %>% arrange (name) %>% pivot_wider (names_from
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!
You can set ".value" in names_to to indicate the corresponding component of the column name that defines the name of the output column. In this case one of names_sep or names_pattern must be supplied to specify how the column names should be split. 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+)
How to use pivot_longer properly in dplyr. I'm currently working on a simple pivot_longer function in r. poll %>% pivot_longer (poll, c (`Basketball`,`Football`), names_to="Sport", values_to="Percentage") Theses are codes to find the percentage of basketball and football. Error: Must subset columns with a valid subscript vector.

How do I use pivot_longer based on 2 columns. 3 pivot_longer with multiple columns in R. Load 7 more related

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    • how to use pivot_longer in r