How to use regex and external module In R Language

In this method, we are using regex using an external module like stringr.

Example 1: Select the character using dot

Here we will use dot (.) to select the character within the string.

R




string <- c("Welcometow3wiki!")
 
str_extract_all(string, "G..k")


Output:

Geek

Example 2: Select the string using \\D

\\D is used to select any character and number in regex.

R




str_extract_all(string, "W\\D\\Dcome")


Output:

'Welcome'

Working with Text in R

R Programming Language is used for statistical computing and is used by many data miners and statisticians for developing statistical software and data analysis. It includes machine learning algorithms, linear regression, time series, and statistical inference to name a few. R and its libraries implement a wide variety of statistical and graphical techniques, including linear and non-linear modeling, classical, statistical tests, time-series analysis, classification, clustering, and others. 

Any value written inside the double quote is treated as a string in R. String is an array of characters and these collections of characters are stored inside a variable. Internally R stores every string within double quotes, even when you create them with a single quote. 

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Method 1: Using Built-in Type

In this method, we are using a built-in type for text processing in R....

Method 2: Using Tidyverse module

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Method 3: Using regex and external module

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Method 4: Using grep()

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