WebApr 12, 2024 · 2 Answers Sorted by: 2 Good code in constructing your own answer! A few small suggestions for condensed code: You could use max to get a 1 or 0 dependend on day instead of sum / ifelse You can get summarise to drop the subj_day group for you using .groups = "drop_last" so no need for a second group_by call. WebApr 4, 2024 · Argument 1 must be a data frame or a named atomic vector. >> Run `rlang::last_error ()` to see where the error occurred. >> >> I tried making separate dataframes to get around the error in bind_rows but it puts the data in two different columns >> Name1> Name2> NamesLong>> NamesLong >> c..Tom....Dick.. c..Larry....Curly.. >> 1 …
dplyr - How to duplicate specific rows but changing ... - Stack …
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Opposite of %in%: exclude rows with values specified in a vector
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