Useful for preparing data for facet plots, especially when combining many data sets or adding many columns
Examples
x<-data.frame(rnorm(10))
names(x)<-'est'
new.cols<-cbind('Landings','Prediction')
colnames(new.cols)<-list('source','response')
make_cols(x,new.cols)
#> est source response
#> 1 -0.2473253 Landings Prediction
#> 2 -0.2441996 Landings Prediction
#> 3 -0.2827054 Landings Prediction
#> 4 -0.5536994 Landings Prediction
#> 5 0.6289820 Landings Prediction
#> 6 2.0650249 Landings Prediction
#> 7 -1.6309894 Landings Prediction
#> 8 0.5124269 Landings Prediction
#> 9 -1.8630115 Landings Prediction
#> 10 -0.5220125 Landings Prediction
