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… “How to add Axes to Plot in R ..read more

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… “Extract values from vector in R: dplyr ..read more

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… “Compare numeric vectors in R ..read more

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 ..read more

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… “Extract columns of data frame in R ..read more

Understanding the Student’s t-Distribution in R, The Student’s t-distribution, also known as the t-distribution, is a significant concept in statistics, especially in hypothesis testing and constructing confidence intervals. This probability distribution is particularly useful when dealing with small sample sizes or unknown population variances. In this article, we will discuss the t-distribution’s properties and how… “Understanding the Student’s t-Distribution in R ..read more

Data Science for Business: In today’s data-driven world, businesses across industries are harnessing the power of data science to make informed decisions, gain competitive advantages, and drive growth. “Data Science for Business: Fundamentals of Analysis and Interpretation” by Foster Provost and Tom Fawcett serves as an invaluable resource for professionals and students seeking to understand… “Data Science for Business: Unraveling the Fundamentals of Analysis ..read more

Solving Systems of Equations in R, Solving systems of linear equations is a crucial task in various fields, such as mathematics, engineering, and economics. In this article, we will demonstrate how to solve systems of equations using R, an open-source programming language. We will use R’s built-in functions and datasets to provide clear examples for… “Solving Systems of Equations in R ..read more

Calculating Conditional Probability in R, Conditional probability is a crucial concept in statistics and probability theory. It allows us to update our beliefs about the likelihood of an event occurring based on new information. In this article, we will explore the concept of conditional probability, its formula, and how to calculate it using the R… “Calculating Conditional Probability in R ..read more

Psychological Experimentation Software, In the ever-evolving field of psychology, conducting experiments is crucial to understanding human behavior, cognition, and emotions. Researchers and students often face challenges when it comes to designing, creating, and managing experiments. This is where OpenSesame, a powerful and user-friendly software platform, comes into play. OpenSesame offers a wide range of tools ..read more