For Data Science Learners
R for Data Science
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…
Select variables of data frame in R, we will learn how to use the select and rename functions of the dplyr package to select and rename variables in R. We will use the dplyr package to manipulate a data frame, which is a fundamental data structure in R. The tutorial consists of two examples that…
Export output as text in R, The sink function in R is used to redirect the output of the console to a file or a connection. This allows you to capture the output of your R code and save it to a file or send it to a network connection. In this article, we will…
Positive or Negative in R, we will learn how to use the sign function in R to determine whether a numeric value is positive or negative. The sign function returns the signs of numeric elements, with a value of 1 for positive numbers, 0 for zero, and -1 for negative numbers. Basic R Syntax sign(5)…
Cross product of transpose of matrix in R, you’ll learn how to calculate matrix cross products using the crossprod and tcrossprod functions. The cross product of a matrix and its transpose is a fundamental concept in linear algebra, and it is often used in various applications such as machine learning, data analysis, and statistics. In…
Logistic Function in R, Here is a rewritten version of the article with the codes included: Logistic Functions in R: A Tutorial In this tutorial, we will explore the logistic functions in R, including the density, cumulative distribution function, quantile function, and random number generation. We will use the dlogis, plogis, qlogis, and rlogis functions…
Extract columns of data frame in R, The pull() function in R’s dplyr package allows users to extract columns from a data frame or tibble. Extract columns of data frame in R This article provides two examples of how to apply the pull() function with variable names and indices. We will also cover the necessary…