Multivariate testing (aka multi-variable testing) is hypothesis testing in the context of multivariate statistics
Questions tagged [multivariate-testing]
257 questions
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Multivariate Granger's causality
I'm having issues doing a multivariate Granger's causal test. I'll like to check if conditioning a third variable affects the results of a causal test.
Here's one sample for a single dependent and independent variable based on an earlier question I…

Joke O.
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Multivariate Testing with Optimizely
I've just started using Optimizely, and really love it. However, I need to do a multivariate test. Has anyone come up with a way, hack or otherwise, to do MVT in Optimizely? Manually creating 25-100 variations isn't my idea of fun. Alternatively,…

Matt Luongo
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How can I indicate initial values in ccgarph package of (R)?
I want to use ccgarch package in R. First of all, What are initial values in this package? How can I specify these values?
Besides, How can I use loglik.eccc and define param for it? For instance, when I have…

shadi norollah
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Multivariate regression with glm: logical subscript too long
I am teaching myself multivariate regression and I am trying to simulate a multivariate random variable and construct a generalized linear model to fit it.
Here is my code:
#Clear Previous
rm(list=ls())
cmp = 2 #Number of components in sample…

HereBeeBees
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MANOVA.RM syntax issues in R
I have a dataframe made up of three continuous response variables, two categorical variables and a subject ID
library(MANOVA.RM)
y1<-sample(1:150, 100, replace=T)
y2<-sample(1:150, 100, replace=T)
y3<-sample(1:150, 100,…

Jessie Bottcher
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multivariate logistic regression in R
I want to run a simple multivariate logistic regression. I made an example below with binary data to talk through an example.
multivariate regression = trying to predict 2+ outcome variables
> y = matrix(c(0,0,0,1,1,1,1,1,1,0,0,0),…

logic8
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Normalizing data in R
Currently I am studying QDA and am using R software to analyze my data.
The data was downloaded from the below link:
https://www.kaggle.com/uciml/pima-indians-diabetes-database
I want to check the QDA assumption i.e. the two groups are…

Annalise Azzopardi
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R exponential multivariate regression
N x1 x2 x3 x4 x5 y
1 8 7.0 -148 26 0.54 3768
2 12 4.4 -148 28 0.99 2957
3 12 6.6 -130 26 0.58 3772
4 5 3.0 -73 33 0.49 1134
5 7 6.0 -115 42 0.32 2691
6 13 5.8 -53 26 0.52 …

brownmamba71
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how to use the dmvnorm function and mapply together
set.seed(1)
### i would like to do this
dmvnorm(c(.5,.5), mean= c(2,15), matrix(c(3, 0, 0, 9), 2))
dmvnorm(c(.6,.6), mean= c(5,18), matrix(c(6, 0, 0, 15), 2))
##### BUT using mapply instead... how can that be done?
u1 = c(2,15)
sigma1 = matrix(c(3,…

user3022875
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Is ASP.NET (webforms) Incompatible with Google Website Optimizer Multivariate Testing?
I've been stuggling all morning trying to get a multivariate test going in google website optimizer.
I've copy and pasted the header/footer code into the pages, and setup a basic page section just to see that everything is working.
When I try to…

rarara
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Over sampling of a multivariate class
I am developing a model using Random Forest in R. The data has 2000 obs x 20 features. The target class that I am trying to classify has 6 levels. All the variables are categorical in nature.
The target is skewed towards one class constitutes over…

Nitin
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Google Website Optimizer Validation
Hey all. I'm attempting to run a multi-variant test on a page, and just have a quick question on validation. Due to the size of the site, and the volume of visitors, we are going to segment the test to only a portion of our users (though the test…

Steve
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Multivariate ttest using r and winbug
How can I do difference in means (ttest) for a multivariate using R and WinBUGS14
I have a multivariate outcome y and the categorical variable x. I am able to get the means of the MCMC sampled values from the multivariate using the code below, but…

Keniajin
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R code for multiple univariate meta-analyses from Chen et al, Statistics in Medicine 2016;35:1405-22
I am trying to run the sample R code for multivariate meta-analysis through multiple univariate meta-analyses provided by Chen et al, in their article entitled "Inference for correlated effect sizes using multiple univariate meta-analyses",…

Giuseppe Biondi-Zoccai
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Removing multivariate outliers after using robust Mahalanobis distance
I have a data set of 167 observations of 3 variables. I am trying to assess and remove multivariate outliers using the robust Mahalanobis distance. To do this I have been playing around with the Moutlier function from the chemometrics package.
I am…

Emily Moffitt
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