389 search results for "anova"

Are you lazy? No worries, tadaatoolbox got your back.

August 18, 2016
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Are you lazy? No worries, tadaatoolbox got your back.

A while ago, we started developing the tadaatoolbox R package. The goal is simple: There are certain things we tend to always do one after another, like performing effect size calculations after a t-Test. The convenience tadaatoolbox aims to provide is exactly this: Do the usual stuff and leave me alone. As an example, take

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New Course: Learn R Statistics Online With Our Introduction to Statistics

July 11, 2016
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New Course: Learn R Statistics Online With Our Introduction to Statistics

The best way to learn is at your own pace. Combining the interactive R learning environment of DataCamp and the expertise of Prof. Conway of Princeton, we offer you an extensive online course on introductory statistics with R.  Start learning now...Wh...

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Introduction to the RMS Package

July 4, 2016
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Introduction to the RMS Package

The rms package offers a variety of tools to build and evaluate regression models in R. Originally named ‘Design’, the package accompanies the book “Regression Modeling Strategies” by Frank Harrell, which is essential reading for anyone who works in the ‘data science’ space. Over the past year or so, I have transitioned my personal modeling

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R for Publication by Page Piccinini: Lesson 6, Part 2 – Linear Mixed Effects Models

July 4, 2016
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R for Publication by Page Piccinini: Lesson 6, Part 2 – Linear Mixed Effects Models

In today’s lesson we’ll continue to learn about linear mixed effects models (LMEM), which give us the power to account for multiple types of effects in a single model. This is Part 2 of a two part lesson. I’ll be taking for granted that you’ve completed Lesson 6, Part 1, so if you haven’t done that Lesson 6, Part...

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Simulation and power analysis of generalized linear mixed models

June 28, 2016
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Simulation and power analysis of generalized linear mixed models

Simulation and power analysis of generalized linear mixed models Brandon LeBeau University of Iowa Overview (G)LMMs Power simglm package Demo Shiny App! Linear Mixed Model (LMM) Power Power is the ability to statistica...

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WifRA: a quick walkthrough

June 26, 2016
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WifRA: a quick walkthrough

After the quick overview, here is a quick walkthrough to some categorical analysis. Open the app: Here 1. Import the data: Here are some homemade data, done with the following R code: set.seed(3467) x=1:400+rnorm(400,0,1) y1=x*2.5+40+rnorm(400,0,50) y2=x*4.5+80+rnorm(400,0,50) group=rep(c('G1','G2'),each=400) x=c(x,x) y=c(y1,y2) DF=data.frame(x=x,y=y,group=group) write.csv(DF,'DF.csv') Click on import data, select your data and set rownames to first column. You

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R for Publication by Page Piccinini: Lesson 6, Part 1 – Linear Mixed Effects Models

June 26, 2016
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R for Publication by Page Piccinini: Lesson 6, Part 1 – Linear Mixed Effects Models

In today’s lesson we’ll learn about linear mixed effects models (LMEM), which give us the power to account for multiple types of effects in a single model. This is Part 1 of a two part lesson. I’ll be taking for granted some of the set-up steps from Lesson 1, so if you haven’t done that Lesson 6, Part...

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A web interface for regression analysis: Walkthrough

June 18, 2016
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A web interface for regression analysis: Walkthrough

After the quick overview, here is a quick walkthrough to some categorical analysis.Open the app: Here1. Import the data:Here are some homemade data, done with the following R code: set.seed(3467)x=1:400+rnorm(400,0,1)y1=x*2.5+40+rnorm(400,0,50)y2=x*4.5+80+rnorm(400,0,50)group=rep(c('G1','G2'),each=400)x=c(x,x)y=c(y1,y2)DF=data.frame(x=x,y=y,group=group)write.csv(DF,'DF.csv')Click on import data, select your data and set rownames to first column. You should then get a quick overview of the data:

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A web interface for regression analysis: Overview

June 18, 2016
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A web interface for regression analysis: Overview

A Web interface for regression analysis (aka WIfRA) 1.What is it ?Firstly, it was supposed to be a project to learn Shiny and quickly turn into a real project. I wanted to bring data visualisation, regression analysis technique and data engineering to everybody and for no-cost. Basically, this is a point and click UI to do some advanced linear regression...

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R for Publication by Page Piccinini: Lesson 4 – Multiple Regression

June 13, 2016
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R for Publication by Page Piccinini: Lesson 4 – Multiple Regression

Introduction Today we’ll see what happens when you have not one, but two variables in your model. We will also continue to use some old and new dplyr calls, as well as another parameter for our ggplot2 figure. I’ll be taking for granted some of the set-up steps from Lesson 1, so if you haven’t done Lesson 4: Multiple...

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