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filter function in dplyr

dplyr::select() function is about choosing columns, dplyr::filter() function is about selecting rows. Both are essential for Data Analysis as part of data transformation and data wrangling routines. Rows selection is based on condition placed on values in chosen columns, in other words, if value in certain column fits 1 or more conditions , row with this value is selected. filter() is straightforward, we specify columns to check and condition to place on each observation of column, if condition evaluates to TRUE, row is returned, the main challenge is across function() and tilde based formulas which , from my experience, are rarely required, however will form a great skill to improve performance in long run Some function to supplement filter are across() between() is.na() grepl() duplicated()