the below example is to obtain the min value amoing 3 columns, we can use the pmin(V1, V2, V3)
if we have lots of column, how to get the minimu value among all numeric variables especially using the tidyverse

I have the following data frame,

In Tidyverse there are limitations concerning the row number resulting from some data processing. Most prominent, mutate expects that the row number equals to the original data set. For example, if we want density values from a variable x we could do:

Using dplyr::group_walk, I would like to iterate on the original order of the dataframe.

I wanted to create a group variable with specific conditions based on the values of GT. If GT is ‘I’, it should generate a different number. If GT is ‘G’, the following rules should apply:

I have two dataframes derived from my data.

I want custom row numbers such that if consecutive As or Bs appear but not Cs then the same ID will be repeated something like below:

I want custom row numbers such that if consecutive As or Bs appear but not Cs then the same ID will be repeated something like below:

I want custom row numbers such that if consecutive As or Bs appear then the same ID will be repeated something like below:

Sample data is as follows: