Learning Statistics with R
- ISBN-10
- 1326189727
- ISBN-13
- 9781326189723
- Category
- Psychology
- Language
- English
- Publisher
- Lulu.com
- Author
- Daniel Navarro
Description
After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book.
Get the book
Similar books
-
Modern Statistics with R: From wrangling and exploring data to inference and predictive modelling
By Måns ThulinThe book includes more than 200 exercises with fully worked solutions. Some familiarity with basic statistical concepts, such as linear regression, is assumed. No previous programming experience is needed.
-
Introductory Statistics with R
By Peter DalgaardCox, D. R. and Oakes, D. (1984), Analysis of Survival Data, Chapman & Hall, London. Everitt, B. S. (1994), A Handbook of Statistical Analyses Using S-PLUS, Chapman & Hall, London. Hájek, J., Šidák, Z., and Sen, P. K. (1999), ...
-
An Introduction to Statistical Learning: with Applications in R
By Daniela Witten, Trevor Hastie, Robert TibshiraniThis book presents some of the most important modeling and prediction techniques, along with relevant applications.
-
Learning Statistics Using R
By Randall E. SchumackerCovering a wide range of topics, from probability and sampling distribution to statistical theorems and chi-square, this introductory book helps readers learn not only how to use formulae to calculate statistics, but also how specific ...
-
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
By Hadley Wickham, Garrett GrolemundLearn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun.
-
A Course in Statistics with R
By Prabhanjan N. Tattar, Suresh Ramaiah, B. G. ManjunathThe book has been primarily designed as a useful companion for a Masters student during each semester of the course, but will also help applied statisticians in revisiting the underpinnings of the subject.
-
Learn R for Applied Statistics: With Data Visualizations, Regressions, and Statistics
By Eric Goh Ming HuiThis book covers topics ranging from R syntax basics, descriptive statistics, and data visualizations to inferential statistics and regressions.
-
Statistics With R: Solving Problems Using Real-World Data
By Jenine K. HarrisEven the most hesitant student is likely to embrace the material with this text." —David A.M. Peterson, Department of Political Science, Iowa State University Drawing on examples from across the social and behavioral sciences, Statistics ...
-
The Book of R: A First Course in Programming and Statistics
By Tilman M. DaviesThe Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis.
-
Using R for Introductory Statistics
By John VerzaniThe topics of this text line up closely with traditional teaching progression; however, the book also highlights computer-intensive approaches to motivate the more traditional approach.