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
The 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.
The names of the first dataframe do not match the names of the second one. Just as the error message says.
> identical(names(xd.small[]), names(xd.small[]) )  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[]) <- names(xd.small[]) > identical(names(xd.small[]), names(xd.small[]) )  TRUE
Then things should proceed happily.
easy enough to use the
data.frame <- unname(data.frame)
rbind() needs the two object names to be the same. For example, the first object names:
ID Age, the next object names:
ID Gender,if you want to use
rbind(), it will print out:
names do not match previous names
Use code as follows:
mylist <- lapply(pressure, function(i)read.xlsx(i,colNames = FALSE))# mydata <- do.call('rbind',mylist)#
check all the variables names in both of the combined files. Name of variables of both files to be combines should be exact same or else it will produce the above mentioned errors. I was facing the same problem as well, and after making all names same in both the file, rbind works accurately.