322 search results for "ANova"

Using MANOVA to Analyse a Banking Crisis Exercises

August 24, 2016
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In this set of exercises we will practice multivariate analysis of variance – MANOVA. We shall try to find if there is a difference in the combination of export and bank reserves, depending on the status of banking sector (is there a crisis or not). The data set is fictitious and servers for education purposes

Exploring Learner Predictions with Partial Dependence and Functional ANOVA

August 10, 2016
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Learners use features to make predictions but how those features are used is often not apparent. mlr can estimate the dependence of a learned function on a subset of the feature space using generatePartialDependenceData. Partial dependence plots reduce the potentially high dimensional function estimated by the learner, and display a marginalized version of this function in a lower dimensional space....

R for Publication by Page Piccinini: Lesson 5 – Analysis of Variance (ANOVA)

June 20, 2016
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In today’s lesson we’ll take care of the baseline issue we had in the last lesson when we have a linear model with an interaction. To do that we’ll be learning about analysis of variance or ANOVA. We’ll also be going over how to make barplots with error bars, but not without hearing my reasons Lesson 5: Analysis...

A simple ANOVA

January 17, 2016
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I was browsing Davies Design and Analysis of Industrial Experiments (second edition, 1967). Published by for ICI in times when industry did that kind of thing. It is quite an applied book. On page 107 there is an example where the variance of a process is estimated.DataData is from nine batches from which three samples were selected (A, B and...

Error Control in Exploratory ANOVA’s: The How and the Why

January 1, 2016
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(This article was first published on The 20% Statistician, and kindly contributed to R-bloggers) In a 2X2X2 design, there are three main effects, three two-way interactions, and one three-way interaction to test. That’s 7 statistical tests.The probability of making at least one Type 1 error in a single ANOVA is 1-(0.95)^7=30%. There are earlier blog posts on this, but...

Ensuring R Generates the Same ANOVA F-values as SPSS

August 27, 2015
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When switching to R from SPSS a common concern among psychology researchers is that R gives the "correct" ANOVA F-values. By "correct" they simply mean F-values that match those generated by SPSS. Because ANOVA F-values in R do not match those in SPSS by default it often appears that R is "doing something wrong". This is not the case....

Two-Way ANOVA with Repeated Measures

August 18, 2015
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NOTE: This post only contains information on repeated measures ANOVAs, and not how to conduct a comparable analysis using a linear mixed model. For that, be on the lookout for an upcoming post! When I was studying psychology as an undergraduate, one of my biggest frustrations with R was the lack of quality support for

ANOVAs and Geomorph

April 1, 2015
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Within geomorph are several functions that perform analysis of variance (ANOVA), includingprocD.lm()procD.pgls()advanced.procD.lm()pairwiseD.test()pairwise.slope.test()trajectory,analysis()bilat.symmetry()plotAllometry() Inherent in all of these functions is a common philosophy for ANOVA (although other philosophies exist).  The geomorph ANOVA philosophy is that: (1) resampling (randomization) procedures are used to generate empirical sampling distributions to assess significance of effects, (2) effect sizes are estimated as standard deviates from such...

A function to help graphical model checks of lm and ANOVA

March 25, 2015
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As always a more colourful version of this post is available on rpubs. Even if LM are very simple models at the basis of many more complex ones, LM still have some assumptions that if not met would render any interpretation from the models plainly wrong. In my field of research most people were taught

Generating ANOVA-like table from GLMM using parametric bootstrap

February 26, 2015
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This article may also be found on RPubs: http://rpubs.com/hughes/63269 In the list of worst to best way to test for effect in GLMM the list on http://glmm.wikidot.com/faq state that parametric bootstrapping is among the best options. PBmodcomp in the pbkrtest package implement such parametric bootstrapping by comparing a full model to a null one. The