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As part of a larger problem (adding a ,makeUniqueIDs argument to rbind.SpatialPolygonsDataFrame for situations when the polygon IDs are identical), I'm running into this weird message from rbind:
> do.call("rbind",xd.small) Error in match.names(clabs, names(xi)) : names do not match previous names dput outputThe only other info I could find on this was this question, which leads me to believe that rbind was at the root of the problem there also.
I can just write my own rbind-like function of course, but presumably this match.names check occurs for a reason, and I'm curious what it is.
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The RStudio console returns the error message “Error in match. names(clabs, names(xi)) : names do not match previous names”. The reason for this is that the column names of the first and the second data frame are not the same.
rbind(my_data, new_row) The name of the rbind R function stands for row-bind. The rbind function can be used to combine several vectors, matrices and/or data frames by rows.
cbind() and rbind() both create matrices by combining several vectors of the same length. cbind() combines vectors as columns, while rbind() combines them as rows. Let's use these functions to create a matrix with the numbers 1 through 30.
The names (column names) of the first dataframe do not match the names of the second one. Just as the error message says.
> identical(names(xd.small[[1]]), names(xd.small[[2]]) ) [1] FALSE If you do not care about the names of the 3rd or 4th columns of the second df, you can coerce them to be the same:
> names(xd.small[[1]]) <- names(xd.small[[2]]) > identical(names(xd.small[[1]]), names(xd.small[[2]]) ) [1] TRUE Then things should proceed happily.
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easy enough to use the unname() function:
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