I am fitting a linear model in R with three variables like so cube_mod <- lm(y ~ x + x_2 + x_3) I then use the anova function to display the results of analysis of variance with and get the fol...

I would like to export tables for the following result for a repeated measure anova: Here the function which ANOVA test has been implemented fAddANOVA = function(data) data %>% ezANOVA(dv = .(...

I built a Pandas dataframe (example below) indexed by gene name that has sample names for columns and integers as cell values. What I want to do is run an ANOVA (f_oneway(), from scipy.stats) for l...

I am trying to implement the Python version of this 'R' code to compare 2 or more Logistic Regression models by finding deviance statistics anova(LogisticModel.1, LogisticModel.2) which gives an o...

I want to run an ezANOVA from the ez package on multiple dependent variables in a loop and save the result into several variables. Each dependent variable is within a separate column of the same da...

I have created two generalised linear models as follows: glm1 <-glm(Y ~ X1 + X2 + X3, family=binomial(link=logit)) glm2 <-glm(Y ~ X1 + X2, family=binomial(link=logit)) I then use the anov...

Sorry, I'm new to python and stats. And I was curious about the typ in the anova_lm() function. What does typ 1,2,3 mean and how do they differ? This is an example code of the typ=2 used. aov_table...

So I am running a fixed effects model using the plm package in R, and I am wondering how I can compare which of two models are more suitable. For example, here is the code for two models I have c...

To prepare a little toy example: import pandas as pd import numpy as np high, size = 100, 20 df = pd.DataFrame({'perception': np.random.randint(0, high, size), 'age': np.random.randint(0, high, ...

Related Bounty: 250 reputation points. I have a question regarding summary.lm() output. Firstly, here is reproducible code for my data set: Cond_Per_Row_stats<-structure(list(Participant = st...

Custom contrasts are very widely used in analyses, e.g.: "Do DV values at level 1 and level 3 of this three-level factor differ significantly?" Intuitively, this contrast is expressed in terms of ...

I've been looking into using planned contrasts as opposed to post-hoc t-tests. I typically use ezANOVA (Type III ANOVA) but it seems that conducting planned contrasts using ezANOVA is not currently...

I want to be able to pass a named list of models (merMod objects) to anova() and preserve the model names in the output. This is particularly useful in the context of using mclapply() to run a batc...

I've been taught to run an ANOVA with the formula: aov(dependent variable~independent variable, dataset) but I am struggling with how to run an ANOVA for a particular dataset because it is broken ...

I am trying to run an anova model in R. I have a data file which contains 3 rows and 12 columns. Each row is data for a particular level of the explanatory variable. Cell [i,j] is the j'th response...

I found the statsmodels implementation of the anova testing for linear models to be very useful (http://www.statsmodels.org/dev/generated/statsmodels.stats.anova.anova_lm.html#statsmodels.stats.ano...

I'm running a nested ANOVA with the following setup: 2 areas, one is reference, one is exposure (column named CI = Control/Impact). Two time periods (before and after impact, column named BA), with...

I'm dealing with an unbalanced design/sample and originally learned aov(). I know now that for my ANOVA tests I need to use the Type III Sum of Squares which involves using fitting using lm() rathe...

i tried to do a LR with SKLearn for a rather large dataset with ~600 dummy and only few interval variables (and 300 K lines in my dataset) and the resulting confusion matrix looks suspicious. I wan...

Setting aside the debate about Type III ANOVA and the Principle of Marginality and all that... I've set up two models whose sum of squares should be different (and Type III ANOVA would test ...

What is the difference between the aov(depvar~timevar+Error(id)) and the aov(depvar~timevar+Error(id/timevar)) formula specifications? These two variants produce slightly different results. The sa...

I'm attempting to run some statistical analyses on a field trial that was constructed over 2 sites over the same growing season. At both sites (Site, levels: HF|NW) the experimental design was a RC...

I have referred to much of online literature but it is increasing my confusion. Much of the discussion is too technical with terms unbalanced designs and I, II or III factor ANOVA and everything. ...

test data frame: > foo x y z 1 0.191 0.324 0.620 2 0.229 0.302 0.648 3 0.191 0.351 0.626 4 0.229 0.324 0.630 5 0.152 0.374 0.656 6 0.191 0.295 0.609 7 0.229 0.267 0.665 8 0.152 0.353 0.657 9 0...

Suppose we have a toy data frame: x <- data.frame(x1 = gl(3, 2, labels = letters[1:3]), x2 = gl(3, 2, labels = LETTERS[1:3])) I would like to construct a model matrix # x1b x1c x2B x2C # 1 ...