WebMay 30, 2024 · The filter () method in R can be applied to both grouped and ungrouped data. The expressions include comparison operators (==, >, >= ) , logical operators (&, , … WebNov 29, 2014 · library (dplyr) df <- data.frame (this = c (1, 2, 2), that = c (1, 1, 2)) column <- "this" df %>% filter (!!as.symbol (column) == 1) # this that # 1 1 1 Using alternative solutions Other ways to refer to the value "this" of the variable column inside dplyr::filter () that don't rely on rlang's injection paradigm include:
How to Filter Rows In R? - Data Science Tutorials
WebAug 14, 2024 · How to Filter Rows in R Often you may be interested in subsetting a data frame based on certain conditions in R. Fortunately this is easy to do using the filter () function from the dplyr package. library (dplyr) This tutorial explains several examples of how to use this function in practice using the built-in dplyr dataset called starwars: WebMay 23, 2024 · Rows in the subset appear in the same order as the original data frame. Columns remain unmodified. The number of groups may be reduced, based on conditions. Data frame attributes are preserved during the data filter. Row numbers may not be retained in the final output cfe blk in 223
r - how to filter data frame with conditions of two columns?
Web2 If you have several 'x' groups, one option would be to use mapply. We split the 'y' using 'x' as grouping variable, create the vector of values to compare against ( c (15,5)) and use mapply to get the logical index for subsetting the 'df'. df [unlist (mapply ('>', split (df$y, df$x), c (15,5))),] # x y #1 1 30 #4 2 10 #5 2 18 Share WebMar 18, 2024 · In base R, why is selecting column, then filtering rows faster than vice versa: filter rows, then select column? Ask Question Asked 21 days ago Modified 20 days ago Viewed 85 times Part of R Language Collective Collective 4 The code below changes values in column $type, based on values in column $weight. WebMay 23, 2024 · The filter () method in R can be applied to both grouped and ungrouped data. The expressions include comparison operators (==, >, >= ) , logical operators (&, … bws isle