spread
.spread_(data, key_col, value_col, fill = NA, convert = FALSE, drop = TRUE)
NA
), and implicit missings, rows that simply aren't
present. Both types of missing value will beTRUE
, type.convert
with asis =
TRUE
will be run on each of the new columns. This is useful if the value
column was a mix of variables that was coerced to a string. If the cFALSE
, will keep factor levels that don't appear in the
data, filling in missing combinations with fill
.