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26 posts tagged with statistics *and* r.

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## Best cheap or free resources for learning R?

I'm looking for some help cutting through the mix of crap that Google throws up and finding some quality free (or very inexpensive) resources for learning the statistical programming language R. [more inside]

## What Do I Do With All This Data?

I have a research project involving about ~90 subjects in two (self-selected) groups. I have collected a number of variables about these subjects (from public sources), and now I would like to do some statistical tests to say whether these variables are significantly correlated with membership in one group or the other. How do I do this? I have a basic knowledge of R and access to Stata 14. [more inside]

## What's the right method for this?

I am undertaking a fun statistical project, and I need help... [more inside]

## A pirate's favorite programming language... and mine too?

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]## R Statistical Computing for Semi-Dummies?

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.

## Non-parametric models for a non-normal outcome with multiple explanatory variables?

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 is the best way to learn R?

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]

## How do I teach myself something when I don't even know what I want to learn?

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]

## Recommendations for an "Intro to R" course in the NYC area

## Cohen's kappa in R?

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

## How to transform random variables from a non-normal distribution to a normal distribution?

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

## Beginner's guide to statistical/quantitative finance?

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]## R/S-Plus: How can I merge two dataframes of different lengths?

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

## DLM in RRRRRRRGGGGGHHHHH

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]

## Too poor to buy a stats package!

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]

## I can't find my PAF Factor loadings < .3

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]

## Rates of success?

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

## BookSuggestionFilter: I need to learn R (and about statistics) in a hurry.

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

## [R] you experienced with plot() and barplot() ?

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

## R.rrrrgh

## How can I convert a SAS dataset into something readable by R?

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

## Visually exploring and representing survey data.

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

## RPy problems

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

## R

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

## GLM Variable Weighting

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

## Statistical analysis package for OS X needed.

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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