I found some useful websites showing examples of how to use R for various sorts of ANOVA (between, within, mixed designs, etc): Using R for Psychological Research Quick-R for SAS/SPSS/Stata users enjoy

Logistic regression is a technique that is well suited for examining the relationship between a categorical response variable and one or more categorical or continuous predictor variables. The model is generally presented in the following format, where β refers to the parameters and x represents the independent variables. log(odds)=β0+β1∗x1+...+βn∗xn The log(odds), or log-odds ratio, is defined

Count data are widely collected in ecology, for example when one count the number of birds or the number of flowers. These data follow naturally a Poisson or negative binomial distribution and are therefore sometime tricky to fit with standard LMs. A traditional approach has been to log-transform such data and then fit LMs to

IFTTT ("if this then that") is one of my favorite tools. I use it to keep and share articles, turn on my home's lights at sundown, alert me when certain keywords are mentioned on Twitter/Reddit/etc., and many other things. Recently, the great people at IFTTT announced the Maker Channel, which allows recipes to make and receive web requests. This...

IFTTT (“if this then that”) is one of my favorite tools. I use it to keep and share articles, turn on my home’s lights at sundown, alert me when certain keywords are mentioned on Twitter/Reddit/etc., and many other things. Recently, the great people at IFTTT announced the Maker Channel, which allows recipes to make and receive...

In geomorph 2.1.5, we decided to deprecate the functions, pairwiseD.test and pairwise.slope.test. Our reason for this was two-fold. First, recent updates by CRAN rendered these functions unstable. These functions depended on the mode...

Consider planning a clinicial trial where patients are randomized in permuted blocks of size four to either a 'control' or 'treatment' group. The outcome is measured on an 11-point ordinal scale (e.g., the numerical rating scale for pain). It may be reasonable to evaluate the results of this trial using a proportional odds cumulative logit

I've created an easy to use R script that will import your data, and performs and writes up a state-of-the-art dependent or independent t-test. The goal of this script is to examine whether more researcher-centered statistical tools (i.e., a one-click analysis script that checks normality assumptions, calculates effect sizes and their confidence intervals, creates good figures,...