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main_yard_data <- readr::read_csv(
file = "data_files_for_publications/MainYardData081819.csv",
show_col_types = FALSE
) |>
dplyr::mutate(
across(where(is.character), as.factor),
year = as.character(year),
time = as.character(time),
front_yard_typology_other = as.character(front_yard_typology_other),
other_yard_features = as.character(other_yard_features),
lawn_notes = as.character(lawn_notes),
overall_lawn_quality = as.factor(overall_lawn_quality),
describe_other_area_weeds = as.character(describe_other_area_weeds),
tree_pruning_other = as.character(tree_pruning_other),
shrub_pruning_other = as.character(shrub_pruning_other),
interactions_with_resident = as.character(interactions_with_resident),
misc_notes = as.character(misc_notes)
)
try({
capeml::write_attributes(main_yard_data)
capeml::write_factors(main_yard_data)
})Error in .f(.x[[i]], .y[[i]], ...) :
dataframe has a variable for which the class could not be determined
Turned out that time, which R recognized as a type <time> was the problem.
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