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Home/ Questions/Q 7777933
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Editorial Team
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Editorial Team
Asked: June 1, 20262026-06-01T18:16:06+00:00 2026-06-01T18:16:06+00:00

I’m importing a csv file that consists of a crosstab with column names in

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I’m importing a csv file that consists of a crosstab with column names in a two-row hierarchy. When I get the table in R, the result looks like this:

   alpha  X.1  X.2 beta  X.1  X.2  X.3 gamma  X.1
    var1 var2 var3 var1 var2 var3 var4  var1 var4
1     21   50    5   22   48    6    8    25    8 
2     27   50    5   24   48    6    8    33    8 
3     26   50    5   28   48    6    8    33    8 
4     25   50    5   28   48    6    8    20    8

Here, alpha, beta, and gamma are all one level of the hierarchy, while var1, var2, var3, and var4 are the second level.

What I would like it do is get output like the following, where the row names are concatenated but also keeping in mind the structure of the data.

   alpha_var1  alpha_var2  alpha_var3 beta_var1  beta_var2  beta_var3  beta_var4 gamma_var1  gamma_var4
1          21          50           5        22         48          6          8         25           8 
2          27          50           5        24         48          6          8         33           8 
3          26          50           5        28         48          6          8         33           8 
4          25          50           5        28         48          6          8         20           8

Any ideas here? Haven’t been able to find anything to deal with this issue. Thanks in advance.

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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-06-01T18:16:07+00:00Added an answer on June 1, 2026 at 6:16 pm

    This seems to work, though the use of xts seems a bit heavy handed for the na.locf() function, but I know it works and use it frequently, so that’s what I used.

    library(xts)
    #Read in data without headers
    x <- read.delim("Book1.txt", skip = 2, header = FALSE)
    #Read in header files transposing them into columns
    headers <- data.frame(t(read.delim("Book1.txt", nrows = 2, header = FALSE)), stringsAsFactors = FALSE)
    
    #Create a now column with the value of alpha, beta, gama or NA
    headers$vals <- with(headers, ifelse(grepl("[abg]", X1), X1, NA))
    #Fill down the values above
    headers$vals <- na.locf(headers$vals)
    #Paste column names together
    colnames(x) <- with(headers, paste(vals, X2, sep = "_"))
    #Resulting object
    x
    
    
    
     alpha_var1 alpha_var2 alpha_var3 beta_var1 beta_var2 beta_var3 beta_var4 gamma_ var1 gamma_var4
    1         21         50          5        22        48         6         8          25          8
    2         27         50          5        24        48         6         8          33          8
    3         26         50          5        28        48         6         8          33          8
    4         25         50          5        28        48         6         8          20          8
    
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