- Compute and append one or more new columns:
dplyr::mutate(iris, sepal = Sepal.Length + Sepal. Width) - Apply window function to each column:
dplyr::mutate_each(iris, funs(min_rank)) - Compute one or more new columns. Drop original columns:
dplyr::transmute(iris, sepal = Sepal.Length + Sepal. Width) - Copy with values shifed by 1:
dplyr::lead - Copy with values lagged by 1:
dplyr::lag - Ranks with no gaps:
dplyr::dense_rank - Ranks. Ties get min rank:
dplyr::min_rank - Ranks rescaled to [0, 1]:
dplyr::percent_rank - Ranks. Ties got to first value:
dplyr::row_number - Bin vector into n buckets:
dplyr::ntile - Are values between a and b?:
dplyr::between - Cumulative distribution:
dplyr::cume_dist - Cumulative all:
dplyr::cumall - Cumulative any:
dplyr::cumany - Cumulative mean:
dplyr::cummean - Cumulative sum:
cumsum - Cumulative max:
cummax - Cumulative min:
cummin - Cumulative prod:
cumprod - Element-wise max:
pmax - Element-wise min:
pmin
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