The notes and courses have been prepared and delivered by current and former students of Department of Statistics, Bangalore University.
We are posting here an introductory course to R which is based on the workshop conducted during 23 and 30 August, 2008. We are grateful to many many people for their cooperation. Also Srikanth Thunga helped to find weebly.com which is the reason for you to download the course. Thanks people for everything.
Suresh Ramaiah, Research Scholar, Bangalore University, and Manjunath B.G., Universität Siegen, Siegen, and myself teamed up and did the above mentioned workshop. We followed it up with writing a short-introductory notes type and did a lot of re-writing. A lot of other material has been added besides the topics covered during the workshop. For instance, exploratory data analysis, simulation, and model selection were not covered and have been later addition. We have deliberately called it as version 0.1. Its our overall plan to make it as comprehensive as possible and of course add the all important "Problems and Exercise" section to it. We hope that in the meantime the reader can benefit even from these preliminary versions. This blog, the short course, etc, are all dedicated to Prof. H.J. Vaman. We are also equally indebted to all our teachers at Bangalore University.
Its not sensible to re-invent the wheel infinitely often. Whats sensible though is to volunteer to re-align the wheel on a periodic basis. This is what we hope to be doing during the course of this blog. Not really rocket-science, though we have attempted to put a new things in this short book too. For example, in the beginning each chapter lists, all the data sets and packages used in it. This is to ensure that during the course of a chapter the reader does not have to scan through the pages for the right package name and the data set name. All the data sets used during the course of the book are available in the below downloadable zip file.
As a good practice, we also give the codes of the book in a txt file. This will save the reader the trouble of entering and keying-in all the codes on her own. Kindly give your feedback on the notes. Thanks.
Currently work is going on bringing version 0.2, which includes more material on advanced and applied courses. Some of the topics to be included are Multivariate Statistics, Logistic Regression, Quantitative Methods of Explanatory Data Analysis, etc. Most of the related work are available in ppt files at our other blog mentioned later here. A good work is incomplete without the all important section on "Problems and Complements" which will be duly provided by Version 0.3. In the meantime, you can also look at our other blog r-presentations.weebly.com, which will have presentation versions of some of the chapters from the short course book. Finally, except for adding bookmarks, the version 0.1 has been frozen for all reasons.