![]() ![]() Probably easier to explain through demonstration.įor this chapter, we will use a running example using data from homicides in Baltimore City. Regexec(): This function searches a character vector for a regular expression, much like regexpr(), but it will additionally return the locations of any parenthesized sub-expressions. ![]() Sub(), gsub(): Search a character vector for regular expression matches and replace that match with another string Regexpr(), gregexpr(): Search a character vector for regular expression matches and return the indices of the string where the match begins and the length of the match grepl() returns a TRUE/ FALSE vector indicating which elements of the character vector contain a match grep() returns the indices into the character vector that contain a match or the specific strings that happen to have the match. Grep(), grepl(): These functions search for matches of a regular expression/pattern in a character vector. The primary R functions for dealing with regular expressions are 22.4 Example: Bootstrapping a Statistic.21.3.2 Changes in PM levels at an individual monitor.21.2 Loading and Processing the Raw Data.21 Data Analysis Case Study: Changes in Fine Particle Air Pollution in the U.S.15.3 Lexical Scoping: Why Does It Matter?.15.1 A Diversion on Binding Values to Symbol.12.3.1 Common dplyr Function Properties.12 Managing Data Frames with the dplyr package.9.5 Extracting Multiple Elements of a List.9.4 Subsetting Nested Elements of a List.7 Using Textual and Binary Formats for Storing Data.5.4 Calculating Memory Requirements for R Objects. ![]()
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