Is it possible to set all column names to upper or lower within a dplyr or magrittr chain?
In the example below I load the data and then, using a magrittr pipe, chain it through to my dplyr mutations. In the 4th line I use the tolower function , but this is for a different purpose: to create a new variable with lowercase observations.
mydata <- read.csv('myfile.csv') %>%
mutate(Year = mdy_hms(DATE),
Reference = (REFNUM),
Event = tolower(EVENT)
I'm obviously looking for something like colnames = tolower but know this doesn't work/exist.
I note the dplyr rename function but this isn't really helpful.
In magrittr the colname options are:
set_colnames instead of base R's colnames<-
set_names instead of base R's names<-
I've tried numerous permutations with these but no dice.
Obviously this is very simple in base r.
names(mydata) <- tolower(names(mydata))
However it seems incongruous with the dplyr/magrittr philosophies that you'd have to do that as a clunky one liner, before moving on to an elegant chain of dplyr/magrittr code.
Answer
dplyr now allows this:
mydata %>% rename_all(tolower)