20180726 Some variables will have levels with spaces, and mixture of cases, etc. We may like to normalise the levels for each of the categoric variables. For very large datasets this can take some time and so we may want to be selective.
# Note which variables are categoric. %>% ds sapply(is.factor) %>% which() -> catc # Normalise the levels of all categoric variables. for (v in catc) levels(ds[[v]]) %<>% normVarNames()
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