Hi @anatolia
You can do this.
library(dplyr, warn.conflicts = FALSE)
library(tidyr)
df <- tibble::tibble(University1 = c(1,0,0,1), University2 = c(1,1,0,0), University3 = c(1,1,0,1) ,Productivity = c(12,13,5,2) )
df
#> # A tibble: 4 x 4
#> University1 University2 University3 Productivity
#> <dbl> <dbl> <dbl> <dbl>
#> 1 1 1 1 12
#> 2 0 1 1 13
#> 3 0 0 0 5
#> 4 1 0 1 2
df_gather <- tidyr::gather(data = df, University , value, -Productivity )
res <-
df_gather %>%
filter(value == 1) %>%
group_by(University) %>%
summarise(prod_univ = mean(Productivity, na.rm = T))
res
#> # A tibble: 3 x 2
#> University prod_univ
#> <chr> <dbl>
#> 1 University1 7
#> 2 University2 12.5
#> 3 University3 9
Created on 2019-11-27 by the reprex package (v0.2.1)
For better help post a reprex example insead of an image of your dataframe: