I am working with a longitudinal dataset of districts. blackout indicates whether the district experienced at least one blackout during that year.

This question already has answers here: Numbering rows within groups in a data frame (11 answers) Transpose / reshape dataframe without “timevar” from long to wide format (9 answers) Closed 2 years ago. I have a dataframe that I’d like to set up for a pivot wider (will explain end-goal at end of main question, […]

Starting in row 2, column 2, I need the numerical values separated out into the remaining columns (2:7)

My data consists of the moving averages of weekly cases for multiple districts. Below is a short example of the whole dataset which has over 100 columns and 500 rows

I’m almost a complete beginner in R and in programming in general.
I have to tidy a data set, and in order to do that i have to remove rows containing the word “Total”.
I have this so far (railroads is the data set, railroads_clean is supposed to be the tidy version of this).

Closed 5 days ago.

Closed 5 days ago.

Closed 4 days ago.

I want to get the first 50% of the time of the data per x.

I’m looking at getting a synthetic dataset of eligibility for two treatments, A and B, with constraints. The constraints are 60% 1’s for A, 80% 1’s for B, 25% 1’s for both, and 0% 0’s for both. I’ve not really made any progress as I’ve only got the following for the columns individually, nothing yet for the joint constraints.