Since the | symbol in R stands for “OR” we were able to search for rows that contained ‘Good’ or Gre’ or ‘Ex’ in the status column. The r at the start of the pattern string designates a python raw string. Note that by using the paste() function with the argument collapse=’|’ we actually searched for the string ‘Good|Gre|Ex’ in the status column. Then the if-statement tests the match - if true the search succeeded and. Notice that the data frame has been filtered to only contain the rows where the string in the status column contains one of the three patterns that we specified. New_df <- filter(df, grepl(paste(my_patterns, collapse=' |'), status)) #filter for rows where status column contains one of several strings We can use the following syntax with the grepl() function to do so: library(dplyr) grep() pattern Character string containing a regular expression that should match with the given character vector. Suppose we would like to filter the data frame to only contain rows where the string in the status column contains one of the following string patterns: Suppose we have the following data frame in R that contains information about various basketball teams: #create data frameĭf <- data. Example: How to Use grepl() with Multiple Patterns in R The following example shows how to use this syntax in practice. This particular syntax filters the data frame for rows where the value in the column called my_column contains one of the string patterns in the vector called my_patterns. New_df <- filter(df, grepl(paste(my_patterns, collapse=' |'), my_column)) You can use the following basic syntax with the grepl() function in R to filter for rows in a data frame that contain one of several string patterns in a specific column: library(dplyr)
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