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New posts in dplyr
using ifelse() with dplyr::if_any(), the values for the case of FALSE returns NA
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Tabulate responses for multiple columns by grouping variable with dplyr
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summarize_all with "n()" function
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dplyr identify rows that do not have a matched column within group
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map over columns and apply custom function
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Unexpected behavior with n_distinct inside pipe
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Base Analogue of `arrange()` in Pipelines
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apply a function to several columns at once with mutate
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Count non-NA values by group [duplicate]
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