# Data<br /> df <- data.frame( ABC_1 = runif(3),<br /> ABC_2 = runif(3),<br /> XYZ_1 = runif(3),<br /> XYZ_2 = runif(3) )</p> <p># ABC_1 ABC_2 XYZ_1 XYZ_2<br /> #1 0.3792645 0.3614199 0.9793573 0.7139381<br /> #2 0.1313246 0.9746691 0.7276705 0.0126057<br /> #3 0.7282680 0.6518444 0.9531389 0.9673290</p> <p># Use grepl<br /> df[ , grepl( “ABC” , names( df ) ) ]<br /> # ABC_1 ABC_2<br /> #1 0.3792645 0.3614199<br /> #2 0.1313246 0.9746691<br /> #3 0.7282680 0.6518444</p> <p># grepl returns logical vector like this which is what we use to subset columns<br /> grepl( “ABC” , names( df ) )<br /> #[1] TRUE TRUE FALSE FALSE

bd %>% select(var, anio, yor)