# Store error messages and maybe give some solutions
# "Can't use matrix or array for column indexing" -------------------------
# transforming tibble in datafreame with as.data.frame(). See Interacting with
# legacy code (https://blog.rstudio.org/2016/03/24/tibble-1-0-0/)
# Here is a case where the problem arises (this code lives inside
# `ctfs::split_data()`):
censdata = bciex::bci12t1mini
splitcol = "sp"
keepsplitcol = FALSE
allsplit = NULL
showOutput = NULL
output=list()
split = censdata[, splitcol] # Here is the problem! If censdata is a data.frame
# then split is a vector, but
# if censdata is a tibble,
# then split is another tibble (problem).
# Alternative solutions
# 1. follow advice in https://blog.rstudio.org/2016/03/24/tibble-1-0-0/
split = censdata[, splitcol]
split = as.data.frame(censdata)[, splitcol]
split
# 2. Assume data is a single variable, and directly pull into a vector
split = censdata[, splitcol]
split = censdata[, splitcol][[1]]
split
# 3. As 2, but check first that data is a single variable, then pull into
split = censdata[, splitcol]
is_single_vector <- dim(split)[2] == 1
if (is_single_vector) {split <- split[[1]]}
split
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