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Home/ Questions/Q 3404194
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Editorial Team
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Editorial Team
Asked: May 18, 20262026-05-18T05:21:09+00:00 2026-05-18T05:21:09+00:00

The question says it all – I want to take a list object full

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The question says it all – I want to take a list object full of data.frames and write each data.frame to a separate .csv file where the name of the .csv file corresponds to the name of the list object.

Here’s a reproducible example and the code I’ve written thus far.

df <- data.frame(
    var1 = sample(1:10, 6, replace = TRUE)
    , var2 = sample(LETTERS[1:2], 6, replace = TRUE)
    , theday = c(1,1,2,2,3,3)
)

df.daily <- split(df, df$theday) #Split into separate days

lapply(df.daily, function(x){write.table(x, file = paste(names(x), ".csv", sep = ""), row.names = FALSE, sep = ",")})

And here is the top of the error message that R spits out

Error: Results must have one or more dimensions.
In addition: Warning messages:
1: In if (file == "") file <- stdout() else if (is.character(file)) { :
  the condition has length > 1 and only the first element will be used

What am I missing here?

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  1. Editorial Team
    Editorial Team
    2026-05-18T05:21:09+00:00Added an answer on May 18, 2026 at 5:21 am

    Try this:

    sapply(names(df.daily), 
     function (x) write.table(df.daily[[x]], file=paste(x, "txt", sep=".") )   )
    

    You should see the names (“1”, “2”, “3”) spit out one by one, but the NULLs are the evidence that the side-effect of writing to disk files was done. (Edit: changed [] to [[]].)

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