Web9 uur geleden · Use across to specific your columns of interest, then get the corresponding columns that end with the string "_increase". Finally, use the .names argument to set new column names. library (dplyr) test_data %>% mutate (across (a:c, ~get (sub ("$", "_increase", cur_column ())) * .x, .names = " {.col}_new")) a b c a_increase b_increase … WebThere are three acceptable forms of assignment: Variable name and assignment on separate lines: iris_long <- iris %>% gather(measure, value, -Species) %>% arrange(-value) Variable name and assignment on the same line: iris_long <- iris %>% gather(measure, value, -Species) %>% arrange(-value) Assignment at the end of the pipe with ->:
Tutorial: Loading and Cleaning Data with R and the tidyverse
Web1 jun. 2024 · Rename column names with tidyverse. tidyverse dplyr mclp June 1, 2024, 12:45pm #1 Hello everyone. This is a bit of a silly question, but I cannot solve it lol. How … Web4.4.3 Manipulating several variables at the same time. Often we would like to change several variables in the same way. The function across() offers an elegant solution to do this.. Assume we would like to change both, the bachelor and the female variable form the cps08.csv into numeric dummies. We name the variables that we would like to change … help find my sanford mandan
Convert Values in Column into Row Names of DataFrame in R
Web2 dagen geleden · I want to output a data frame where only one category is present for each name based on the highest number in the number column. If an special category is present, then that name should be a special category regardless of the number value. Please refer to the bottom table of the attached image as an example of the output I am looking for. … Web6 dec. 2024 · By using the str() function to view the structure of the data frame, we can see that the points column is now a factor with 7 different levels representing the 7 unique … Web2 jan. 2024 · Hi Mara, so the code I pasted was an example - in reality I have a large dataset. I have to locate certain numbers in the ID column and then change the NA value in the code column to a specific value. Is there a generic method? I've had a look at the case-when notes but I don't understand how I could apply that to the dataset I have. laminate kitchen counter paint