Discovering statistics using R
by Andy P. Field · first published 2012
50% recommend50% neutral
"Hot on the heels of the award-winning and best selling Discovering Statistics Using SPSS Third Edition, Andy Field has teamed up with Jeremy Miles (co-author of Discovering Statistics Using SAS) to write Discovering Statistics Using R. Keeping the uniquely humorous and self-depreciating style that has made students across the world fall in love with Andy Field's books, Discovering Statistics Using R takes students on a journey of statistical discovery using the freeware R, a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across th
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Discovering Statistics Using R by Andy Field is a fantastic and entertaining book.
on “Recommended Self-Study Path for Statistics” ↗Discovering Statistics Using R by Andy Field. Fantastic book and very readable and at times hillarious.
on “The Probability and Statistics Cookbook” ↗I was rather fond of Discovering Statistics using R. It doesn't drive this point about linear models home quite so lucidly, and the author's sense of humor can be off-putting to some. But it generally does a pretty decent job of explaining the logic and…
on “Common statistical tests are linear models” ↗For learning about the basics of statistics, my go-to resource is "Discovering Statistics using [R/SPSS]" (Andy Field). "Improving Your Statistical Inferences" (Daniel Lakens) needs some basics, but covers a lot of intesting topics, including sequencial testing and equivalence tests (sometimes you…
on “Ask HN: Resources about math behind A/B testing” ↗…I've only started to read this one, it's very much about the basics of what a computer does when you're running high level code, so you can adjust your coding style. So far it's very useful. Stats: - Discovering Statistics Using R, Field/Miles/Field. A very opinionated, highly amusing (the constant humor may annoy some), huge waltz through statistics and how to use the methods and interpret their output in R.
on “Ask HN: Books you read in 2016?” ↗…the assumptions and pitfalls of all of those methods. Statistics Done Wrong: The Woefully Complete Guide - this is all the stuff that's going wrong in applied statistics, a bit short but enlightening Discovering Statistics Using R - a whopper of a book (~1000 pages?), it goes through everything while also being funny (the constant humor may not be for everyone). Graphs, correlations, regressions, all the MLMs and GLMs, linear…
on “Ask HN: What language-agnostic programming books should I read?” ↗Discovering Statistics Using R by Andy Field. AINEC.
on “Free Data Science Books” ↗Discovering Statistics Using R by Andy Field.
on “How R Took the World of Statistics by Storm” ↗im currently reading "discovering statistics using R" ..even though we're using python and ipython at work - ipython is simply fantastic! -- hope to integrate the R support magic soon too.
on “Statistics: Losing Ground to CS, Losing Image Among Students” ↗…probability sans machine learning? How would I go about that? Currently I have lined up - Math for programmers (No starch press), Practical Statistics for data scientists (O'Reily - the crab book), and Discovering Statistics using R. Basically I'm trying to follow the theory from "Statistical Consequences of Fat Tails" by NNT.
on “Probabilistic Machine Learning: Advanced Topics” ↗