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Statistics: an introduction using R by Michael J. Crawley

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

I guess that's the case in most labs, even if their advisors might have better statistical acumen. Introductory Statistics with R (Statistics and Computing) This book provides a good introduction to basic statistical concepts with an emphasis on how to do the analyses in R. Crawley MJ: Glim for ecologists. 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. Finally, I wanted to use R to illustrate all of the methods in practice as they were introduced. Here's a confession: I'm useless with R. This is a twelve-day intensive course (6 hr/day), with additional Suggested statistics references for review are listed below. If you're a serious ecologist, nowadays, then R is an essential or near-essential tool. It introduces tools to These quantitative tools are implemented using the free, open source software program R. APHA: Standard Methods for Examination of Water and Wastewater. Statistics, an introduction - Robert N. R provides an excellent environment for general numerical and statistical computing and graphics, with capabilities similar to Matlab®. This book provides an introduction, suitable for advanced undergraduates and beginning graduate students, to two important aspects of molecular biology and biophysics: computer simulation and data analysis. This workbook is a free accompaniment to the text book Statistics for Geography and Environmental Science. Our short course provided a background to basic data analysis, an introduction using Excel, and an introduction using R. Session 3: Statistics and Graphics - Introduction to base R graphics and lattice/ggplot2, Descriptive Statistics, Distribution Functions, Random Number Generation, Interactive Graphics Development. Statistics for Geography and Environmental Science: An Introduction in R. To introduce the ideas and methods of statistical modelling and statistical model exploration. 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. So it is important to learn about R from the point of view of a statistician rather than the point of view of a programmer. More advanced methods (generalized liner models, time series, and bioinformatics) will also be introduced using specific examples.