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Training Contents
Name
Description
Content
Keywords
Author
Beautiful Demos 2: Enunciating Statistical Assumptions
Short explanation on classical statistical test assumptions
statistics, study design
Dr. Mark Williamson
Bite-sized Statistics 1: Introduction
Introduction to the series of Bite-sized statistics.
introduction, statistics
Dr. Mark Williamson
Bite-sized Statistics 2: Definitions
Statistical definitions, including variable types, populations, parameters, and data.
statistics, definitions
Dr. Mark Williamson
Running the Statistical Gauntlet in SAS
A series of examples of statistical tests in SAS, aimed to help train researchers in understanding statistical output, graphs, and conclusion.
SAS, statistics, t-test, ANOVA, regression
Dr. Mark Williamson
Statistical Rules to Tape to Your Forehead
Presentation providing helpful and memorable rules for statistical analysis, along with an example in R using shark data
statistics, rules, R
Dr. Mark Williamson
Neat Tricks and Clever Quips 3: The Power of PowerPoint
Short explanation on cropping pictures, formatting graphs, and creating images in PowerPoint
PowerPoint
Dr. Mark Williamson
Beautiful Demos 3: Data that Appear in Pairs
Short explanation on paired and repeated measures data
paired t-test, repeated measures ANOVA, generalized linear mixed model
Dr. Mark Williamson
Bite-sized Statistics 3: Hypothesis Testing
Explanation of hypothesis testing, including summary statistics, equations, and examples.
hypothesis testing, summary statistics, statistics, definitions
Dr. Mark Williamson
Exploring R Packages with a Chipmunk: Introduction
Introduction to the series Exploring R Packages with a Chipmunk. Here, we'll discuss the purpose, organization, and coverage each series issue will include. A short demonstration of an R function to search the list of R package descriptions is also included.
R, Introduction
Dr. Mark Williamson
Exploring R Packages with a Chipmunk: Out of the Gate
Issue 2 of the series Exploring R Packages with a Chipmunk, where we explore the packages ggplot2, dpylr, tidyverse, m61r, rchallenge, and Rcmdr.
R, graphing, functions, GUI
Dr. Mark Williamson