Consolidating Duplicate Columns in R

Question

I have a data frame that looks like:

   c1 c2 c3 c4
 r1 1  0  1  1
 r2 0  0  1  1
 r3 0  1  0  0

In this case, c3 and c4 coincide exactly. I would like to remove duplicate columns, but keep the column names of both c3 and c4 in order to get the data frame:

   c1 c2 c3c4 
 r1 1  0  1
 r2 0  0  1
 r3 0  1  0

where the name of the third column joins the column names with the same columns.

I feel that there must be an elegant way to do this that I just can't think of. Any help would be greatly appreciated!

Edit: Just to clarify that my actual data frames are actually 1000 rows of 1000 columns, and I don't know which of the columns are identical. So I need an automatic way to test if the columns are identical, and where it is needed to combine the column names.

Answer 1

! , - :

df <- data.frame(c1 = c(1,0,0), c2 = c(0,0,1), c3 = c(1,1,0), c4 = c(1,1,0), c5 = c(1,1,1), c6= c(1,1,1), c7 = c(2,2,2))

library(digest)
df_clean <- df[!duplicated(lapply(df, digest))]

df_clean - .

, :

df_dups <- df[duplicated(lapply(df, digest))] #extract the duplicates

for (clean_col in 1:ncol(df_clean)){
  for (dup_col in 1:ncol(df_dups)){
    if (identical(df_clean[,clean_col], df_dups[,dup_col]) == TRUE){
      colnames(df_clean)[clean_col] <- paste(colnames(df_clean)[clean_col], colnames(df_dups)[dup_col], sep = "")
    }
  }
}

, , :

'data.frame':   3 obs. of  5 variables:
 $ c1  : num  1 0 0
 $ c2  : num  0 0 1
 $ c3c4: num  1 1 0
 $ c5c6: num  1 1 1
 $ c7  : num  2 2 2

Answer 2

, , . df :

dups <- duplicated(lapply(df, function(x) x))
df_clean <- df[!dups]
df_dups <- df[dups]


for(z in 1: ncol(df_clean)){
  i <- names(df_clean)[z]
  df_clean[i] -> q
  d <- which(
      sapply(df_dups, function(x) {
      ifelse(identical(x,as.vector(sapply(q, function(x) x))), T, F) 
          })
      ) 
  names(df_clean)[z] <- paste0(i, paste(names(df_dups)[d], collapse = ""))
}

:

df_clean
   c1 c2 c3c4
r1  1  0    1
r2  0  0    1
r3  0  1    0

, .