For Data Science Learners
Replace first match in R, This article explains how to replace patterns in characters in R using the sub() and gsub() functions. We will cover the basic syntax and definitions of the two functions, as well as two examples of how to apply them. Basic R Syntax:Replace first match in R The basic syntax for…
Display the structure in R, we will demonstrate how to use the str() function in R to print the structure of a data object. We will cover three examples: displaying the structure of a data frame, a list, and a vector. Example 1: Displaying the Structure of a Data Frame To begin, we need to…
Convert characters to time in R, we will explore how to convert characters to time objects and vice versa using the strptime and strftime functions in R. These functions are part of the base package and provide a convenient way to work with dates and times. Basic R Syntax: Convert characters to time in R…
Identify positions in R, we will explore how to use the str_subset and str_which functions in R to filter and find patterns in character strings. These functions are part of the stringr package, which provides a variety of functions for working with strings. Identify positions in R To demonstrate the usage of str_subset and str_which,…
Wrap a character string in R, we will explore how to use the str_wrap function in R to wrap a character string into nicely formatted paragraphs. This function is part of the stringr package, which provides a variety of functions for working with strings. Wrap a character string in R To demonstrate the usage of…
Duplicate and concatenate in R, we will explore how to use the str_dup function in R to duplicate and concatenate strings within a character vector. The str_dup function is part of the stringr package, which provides a variety of functions for working with strings. Example Data To demonstrate the usage of str_dup, we will create…
Locate position of patterns in a character string in R, we will learn how to use the str_locate and str_locate_all functions in R to locate the position of patterns in a character string. These functions are part of the stringr package, which is a part of the tidyverse. Example Data Before we start, we need…
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Sort or Order Rank in R with sort(), order(), and rank() Functions. We will learn how to sort data in R using the sort(), order(), and rank() functions. These functions are essential for data manipulation and analysis in R. Example 1: Sorting Vectors Let’s create an example vector and apply the sort(), order(), and rank()…
Divide data into groups in R, we will learn how to use the split and unsplit functions in R to divide and reassemble vectors into groups. These functions are useful when you need to separate a large dataset into smaller groups based on specific criteria and then reassemble the data back into a single vector….
Extract certain rows of data set in R, we will learn how to extract specific rows of a data set using the slice function of the dplyr package in R. This function is useful when you need to extract specific rows of a large data set and perform further analysis on those rows. Creation of…