Statistics: an introduction using R by Michael J. Crawley

Statistics: an introduction using R Michael J. Crawley ebook
Page: 333
ISBN: 0470022973, 9780470022979
Format: djvu
Publisher: Wiley

Session 3: Statistics and Graphics - Introduction to base R graphics and lattice/ggplot2, Descriptive Statistics, Distribution Functions, Random Number Generation, Interactive Graphics Development. There are a very nice books: Statistics: an introduction using R Michael J. I thought that R in a Nutshell would introduce them to concepts about R programming (S3 objects for example), without clouding the issue with statistical topics. R Tutorial Series: Introduction to The R Project for Statistical Computing (Part 1) Although it does take some effort to become familiar with, R ultimately proves to be an affordable, customizable, and expandable statistical analysis solution. The textbook was written for an undergraduate course in probability and statistics. This is a twelve-day intensive course (6 hr/day), with additional Suggested statistics references for review are listed below. It takes more time to learn and to run, but it will be certainly much better in long-term perspective. During the first part of our meeting, Nicolas Christou gave an introduction of statistical finance in R, and presented a package he co-authored with previous PhD student David Diez (2010). Beginning R: An Introduction to Statistical Programming is a hands-on book showing how to use the R language, write and save R scripts, build and import data files, and write your own custom statistical functions. Building on the success of the author's bestselling Statistics: An Introduction using R, The R Book is packed with worked examples, providing an all inclusive guide to R, ideal for novice and more accomplished users alike. However, their statistical knowledge is almost non-existent. More advanced methods (generalized liner models, time series, and bioinformatics) will also be introduced using specific examples. See this site for a textbook on Introduction to Probability and Statistics Using R (IPSUR) by G. The primary aim of the course is to learn methods in R for: 1) data manipulation 2) exploratory data analysis, 3) data analysis using standard statistical methods, and 4) graphical presentation of data and results.