Examples. Examples concerning the sklearn.feature_extraction.text module. Index of /~dcs/courses/math47/lectures. Using R for statistical analyses - Introduction. Help and Documentation My Publications See my books about R at my Publications Page: Statistics for Ecologists using R and Excel. Published December 2011 Beginning R: The Statistical Progreamming Language. The Essential R Reference. Documents There are plenty of sources of help and information regarding R.
“Using R for Data Analysis and Graphics - Introduction, Examples and Commentary” by John Maindonald [PDF]. These are available via the 'Contributed Documentation' section. Courses From 2009 I am going to be running a series of short courses in data analyses for conservation biologists. Help within R The help system within R is comprehensive.
Click on the 'Help' menu. If you want help on a specific command you can enter a search directly from the keyboard: help(keyword) A shortcut is to type: ? This is fine if you know the command you want. Apropos("part.word") You type in a part.word and R will list all commands that contain that string of letters. R comes with a number of data sets. Machine Learning Repository. Overfitting stat. Graphs - R Cookbook. My book about data visualization in R is available! The book covers many of the same topics as the Graphs and Data Manipulation sections of this website, but it goes into more depth and covers a broader range of techniques. You can preview it at Google Books.
Purchase it from Amazon, or direct from O'Reilly. There are many ways of making graphs in R, each with its advantages and disadvantages. Graphs with ggplot2 Miscellaneous Output to a file - PDF, PNG, TIFF, SVG Shapes and line types - Set the shape of points and patterns used in lines. Basic graphs with standard graphics Other interesting graphs Correlation matrix ggplot2 online documentation. Wolfram|Alpha: Computational Knowledge Engine.
Facebook. StanfordUniversity's Channel. Civil and Environmental Engineering | 1.151 Probability and Statistics in Engineering, Spring 2005 | Lecture Notes. Book on Principles of Data Analysis. Home Published by Cappella Archive, a micropublisher. (Why a micropublisher?) The text (700 kb) can be downloaded free, in your choice of A4 size letter size paperback size The paperback can be ordered directly from the publisher or (slightly more expensively) from Amazon UK.
Read on for the cover reviews an excerpt From the Cover Cover text by Nigel Dowrick, illustration by Rebecca Thorn. This is a short book with a lot in it. A major strength of the book is the inclusion of genuinely interesting worked examples. As I've already said, the book is not aimed at absolute beginners. Published reviews Physics Today writes: ....provides a fresh, succinct view of data analysis at a level suitable for working physicists, graduate students, and very advanced undergraduates.... The Observatory Magazine (Dec 2003) writes: Mini-reviews A book called ``Principles of Data Analysis'' might normally be considered a useful substitute for Mogadon. Eric Grunwald Managing Director, Perihelion Ltd (UK) D.S. Design of Experiments. Probability & Statistics. Design of Comparative Experiments - download here. CK-12 Probability and Statistics - Basic (A Short Course)