Data cleaning in Excel sheets using R

Question

I have data in Excel sheets and I need a way to clean it. I would like remove inconsistent values, like Branch name is specified as (Computer Science and Engineering, C.S.E, C.S

Answer 1

The car package has a recode function. See it's help page for worked examples.

In fact an argument could be made that this should be a closed question:

Why is recode in R not changing the original values?

How to recode a variable to numeric in R?

Recode/relevel data.frame factors with different levels

And a few more questions easily identifiable with a search: [r] recode

EDIT: I liked Marek's comment so much I decided to make a function that implemented it. (Factors have always been one of those R-traps for me and his approach seemed very intuitive.) The function is designed to take character or factor class input and return a grouped result that also classifies an "all_others" level.

my_recode <- function(fac, levslist){ nfac <- factor(fac);
    inlevs <- levels(nfac);
    othrlevs <- inlevs[ !inlevs %in% unlist(levslist) ]
      # levslist of the form ::::    list(
      #     animal = c("cow", "pig"),
      #     bird = c("eagle", "pigeon") )
 levels(nfac)<- c(levslist, all_others =othrlevs); nfac}

 df <- data.frame(name = c('cow','pig','eagle','pigeon', "zebra"), 
              stringsAsFactors = FALSE)
 df$type <- my_recode(df$name, list(
     animal = c("cow", "pig"),
     bird = c("eagle", "pigeon") ) )
 df
#-----------
    name       type
1    cow     animal
2    pig     animal
3  eagle       bird
4 pigeon       bird
5  zebra all_others