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.
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 ...
Master the art of statistics using R: from basics to regression, delve into data insights and predictive modeling.
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...
Error in replications(paste("~", xx), data = mf) : (converted from warning) non-factors ignored: GSS2010$DEGREE The problem, I believe, is that R is looking for the class of the variables in order to run the analysis as it needs to know which of the variables is categorical (or ...
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 machine learning with Python! Dive into data analysis, build models, and implement algorithms with step-by-step tutorials.
course Introduction to Writing Functions in R 4 hr 43.8KTake your R skills up a notch by learning to write efficient, reusable functions. See DetailsStart Course course Introduction to R 4 hr 2.7MMaster the basics of data analysis in R, including vectors, lists, and data frames, and prac...