View source: R/fill_with_agg.R
fill_df_with_agg_by_group | R Documentation |
Function to calculate a summary statistic (mean, median, vvconverter::mode, min, max etc.) by group and use it to fill missing values. Note: this takes and produces a tibble rather than a vector.
fill_df_with_agg_by_group( df, group, columns, overwrite_col = FALSE, statistic = mean, fill_empty_group = FALSE )
df |
tibble to use |
group |
string or vector of strings: columns to group by |
columns |
string or vector of strings: columns to impute |
overwrite_col |
boolean: whether to overwrite column. If FALSE, a new column with suffix _imputed will be created |
statistic |
function: summary statistic to use (mean, median, min etc.). For now requires a function with na.rm argument |
fill_empty_group |
boolean: If TRUE, fills groups that only contain NA with summary statistic of entire column |
a tibble with filled column(s)
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