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I'm a daily MATLAB user for data analysis, and fairly fluent with most toolboxes, including Parallel Computing. I know I need to learn something new, though.* (MATLAB is great for prototyping but unwieldy for real data-crunching.) I'm taking a class (Bayesian stat methods) starting in January based around **R**. What's the best resource to get started with R for someone like me? [more inside]

StatFilter: Would anybody be able to recommend a good introduction to the statistical computing language "R" that a reasonably quantitatively-adept psychologist might be able to work through on his own? Something like a step-by-step book or textbook with exercises would be great to help me become more fluent in R. (My colleagues at work who use R are primarily computer scientists who either first learned MatLab or are brilliant autodidacts when it comes to learning different scripting languages, and thus don't have any suggestions; Googling has mostly proferred a somewhat obscurely structured guide from the R authors and lots of invocations to just learn on my own, somehow...). I've become familiar with how to do many individually useful tasks in data structuring and analysis, but I feel a bit like a very high-functioning tourist who has learned a lot of phrases to get around but who would be lost and mugged in an alleyway if I strayed off the beaten path.

I need to buy a few small gifts that begin with the letter R for a family gift exchange. My budget is $20, the potential recipients range from an 18 year old college freshman to a 70 year old. [more inside]

My stats notes are getting too long to distribute using the university printers. A publisher wants to turn them into a printed book, but I want to keep control of the electronic distribution of my work. How should I approach this situation? [more inside]

What is the closest equivalent to RStudio for Python? [more inside]

StatisticsFilter, non-parametric edition: I'd like to test if my non-normally distributed outcome is significantly different between two groups adjusting for a third variable. [more inside]

What should I use to write a quick little front end to access a bunch of R programs? [more inside]

I've been asked by a colleague as to how they can learn programming for their professional advancement. Because of the area they work in, the possible languages would be Python or R. Complicating factors are that they (a) don't feel confident about self-learning and so (b) would like something more like a traditional classroom or workshop approach but (c) are in a remote foreign location, far from any educational facility, at least in their native language. So what we're looking for is an online classroom of sorts. [more inside]

What is the best way for me to learn R? In particular, what is the best website or online tutorials for learning to deal with large datasets. [more inside]

Quickest, most efficient way of stacking 40,000 GeoTIFF rasters (about 6gb in total) into a NetCDF file? [more inside]

I think I need to learn about time series analysis. My statistics background is so mediocre that I'm not even sure this is the thing I actually need to learn. How far in over my head am I? [more inside]

Looking for a document clustering application for a one-off search. Would prefer not to code my own. [more inside]

Why does JGR crash when I try to make crosstabs in [R]? [more inside]

How to make a data subset based on a variable with multiple character values in [R]? [more inside]

Statistics filter: Cohen's kappa and inter-rater reliability in R? [more inside]

How would I find a function that transforms random variables from an non-normal probability distribution to a normal distribution? [more inside]

I just read Victor Niederhoffer's *Practical Speculation*. Most of the book is devoted to analyzing trading opportunities using statistics. I am looking for other resources devoted to this topic. [more inside]

Running R Commander (GUI for the stats package R) on my Mac — or at least I would be, if I could create a new data set. The menu item Data—>New Data Set seems to be missing. As such, I can't input any data. [more inside]

Merging datasets in R. I seem to have forgotten how to do some things. [more inside]

Bayesian Statistics & Dynamic Linear Modelling in R Filter: explain why I am getting large in magnitude (in contrast to a previous project) log likelihoods. [more inside]

Free stand-alone stats programs for Mac and/or Windows that have (at a minimum) two-way ANOVA and linear regression capabilities? Barring that, good resources for learning R? [more inside]

Statistics Filter: After performing factor analysis (PAF) using R, how do I display all the factor loadings, not just the ones above .3? [more inside]

Statistics question: is it possible to test sets of cumulative data for significant differences in rate? [more inside]

BookSuggestionFilter: I need to learn about R (and statistical modeling) in a hurry. [more inside]

How do I graph these data using R's plot() and barplot() commands? [more inside]

How to import a SAS dataset into R (with, unfortunately, one extra degree of difficulty...)? [more inside]

Do lisp and dialects make sense for general purpose scientific computing? [more inside]

Best ways to visually explore a large survey data set? [more inside]

Stumped with RPy, need help badly! [more inside]

I am looking for great books / guides for learning applied statistics and R (at the same time). Any hivemind suggestions? [more inside]

What are the optimal output settings when generating images for use in PowerPoint? [more inside]

Statistics. Generalized Linear Models; What's being done in this R script I've been handed down, with the variable weights? [more inside]

Why does Microsoft Word (OS X v.11) hate PDFs? Or: Please help me make this stats assignment just a little less frustrating. [more inside]

SPSS is fine but produces offensively ugly figures. R has nice, clean output but is otherwise inscrutable. Statistica is, alas, Windows-only. Mathematica isn't really it, either. What statistics package should I use for OS X? [more inside]

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