For Data Science Learners
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…
optim Function in R, we will explore how to apply a general-purpose optimization using the optim function in R programming language. We will create example data and then demonstrate the usage of the optim function to minimize the residual sum of squares. optim Function in R First, let’s create the example data we will use…
Compare numeric vectors in R, we explore the usage of the ‘near’ function from the ‘dplyr’ package in R programming. The article is divided into two examples, with the first one demonstrating the basic application of the ‘near’ function and the second one showcasing its flexibility with user-defined tolerance. Compare numeric vectors in R To…
Extract values from vector in R, we will delve into extracting specific values from a vector using the nth, first, and last functions from the dplyr package in R programming language. The article is structured into four examples that demonstrate the extraction of vector elements. Extract patterns in R? » Data Science Tutorials Extract values…
How to add Axes to Plot in R, In the world of data visualization, creating visually appealing and informative plots is crucial for effectively communicating insights. The R programming language offers a plethora of tools to customize your plots, including the ability to add user-defined axis ticks using the axis() function. In this article, we…