at least in the CRAN version, the data.frame produced by fortify.network has "dim" and "dimnames" attributes set for columns x, y, xend, yend. This is an issue for dplyr::filter, which complains that the columns are not one-dimensional vectors. A simple turnaround that I use is to first call:
as.data.frame(lapply(X=df, FUN=as.vector))
on the output (here named df).
Given the increasing popularity of dplyr and other tidyverse packages, I was wondering if there is a compelling reason to keep these extra attributes in the output?
Hello,
at least in the CRAN version, the data.frame produced by
fortify.networkhas"dim"and"dimnames"attributes set for columnsx, y, xend, yend. This is an issue fordplyr::filter, which complains that the columns are not one-dimensional vectors. A simple turnaround that I use is to first call:as.data.frame(lapply(X=df, FUN=as.vector))on the output (here nameddf).Given the increasing popularity of
dplyrand othertidyversepackages, I was wondering if there is a compelling reason to keep these extra attributes in the output?Thanks a lot for an otherwise excellent package!