Several authors hav addressed this problem with names that resemble "rbindfill". In my machine I find four instances:

??rbindfill

Help pages:
ffbase::ffdfrbind.fill        rbind for ffdf where missing columns are added if not available in one of the ffdf objects plyr::rbind.fill        Combine data.frames by row, filling in missing columns. plyr::rbind.fill.matrix        Bind matrices by row, and fill missing columns with NA.
rockchalk::rbindFill        Stack together data frames


--

David.

On 5/20/21 2:19 AM, Jim Lemon wrote:
Hi Bhaskar,
If you are using read.table or similar, see the "fill=" argument.

Jim

On Thu, May 20, 2021 at 9:54 AM Bhaskar Mitra <bhaskar.kolk...@gmail.com> wrote:
Hello Everyone,

I am trying to extract data from a url. The codes work well when the
data structure is as follows:

X Y
1 2
1 5
1 6
1 7
3 4

However, the code fails when the data structure has no number
under the 2nd column (shown below).I get the following error:

"Error in data.frame(..., check.names = FALSE) :
   arguments imply differing number of rows: 242, 241"


X Y
1 2
1
1
1 7
3 4

Can anyone please help me in how I can modify the codes ( shown below) to
adjust for the above mentioned condition
in the data structure.

library(rjson)

url <- "abcd.com"
json_data <- fromJSON(file= url)
d3 <- lapply(json_data[[2]], function(x) c(x["data"]))
d3 <- do.call(rbind, d3)
X_Dataframe = as.data.frame(unlist(d3[[1]]))
b <- do.call("cbind", split(X_Dataframe, rep(c(1, 2), length.out =
nrow(X_Dataframe))))


regards,
bhaskar

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