In the paper, we demonstrate its use analyzing data collected in a few experiments taken from an introductory physics laboratory. The examples include a linear dependence, a non-linear dependence, and a histogram. The merits of R are discussed against three options often used for data analysis ...
This longitudinal data analysis training and online seminar by Stephen Vaisey presents models for analyzing panel data using R software.
This course, “Data Science with R,” is designed for aspiring data scientists and analysts seeking to harness the power of R for data manipulation, analysis, and visualization. Participants will begin by gaining a solid foundation in R programming, covering key concepts such as data types, stru...
and find out really easily how to use R to construct those confidence intervals for me. Furthermore, some of the confidence intervals that everyone is taught in an introductory statistics course arewildly inaccurate– and statisticians know this. But...
The popularity of the statistical environment R [1] has grown immensely in recent years. Functions for a vast number of statistical analyses, graphics and data processing are provided by the base system and thousands of add-on packages. This book aims to provide both novice and experienced ...
etc. Given the increasing prominence of data analysis using R programming in business schools, we have built resources to tutor students in data analysis using R programming. We will be happy to provide you live tutoring for your specific R programming project or class. Email or call us or si...
This repo was built for my ongoing project of publishing an introductory Chinese textbook titledData Analysis Using R for Social and Behavioral Sciences. I'm not familiar with theBookdownstyle yet. Once I figure it out, I will put all the materials into a bookdown repo. ...
Master MS Excel for data analysis with key formulas, functions, and LookUp tools in this comprehensive course. Frequently Asked Questions A. R is a programming language used extensively for statistical analysis and data visualization. It offers a wide range of statistical techniques and tools. ...
While R/exams was originally written for large statistics classes, there is nothing specific to either large courses or statistics. In this article, I will describe how I use R/exams for my “Introduction to Finance (FIN 3310)” course. While occasionally I might have a class of 60 students...
In your analysis, the R-squared value of 0.79 indicates a 79 percent accuracy between the best-fit line and the actual values. You convert it to a string named r_squared for plotting later. You round the value for neatness. To construct a string of the equation of the best-fit straight...