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Questions tagged [multivariate-testing]

Multivariate testing (aka multi-variable testing) is hypothesis testing in the context of multivariate statistics

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Ran a MANOVA where Pillai's/Wilks isn't significant, but one of the DVs is very significant in my output table of between-subjects effects

I'm a stats newb and was told by my professor to run a MANOVA for something I was checking out. Basically, I wanted to see if there was an interaction between ethnicity and a certain quadrant grouping for a set of outcome variables that are…
kathax
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How do I create a publication Table for multivariate multiple regression models (multiple dependent variables)?

I ran some multivariate multiple regression models by combining the multiple dependent variables with cbind() in lm(): dv1 <- rnorm(15) dv2 <- rnorm(15) dv3 <- rnorm(15) iv1 <- rnorm(15) iv2 <- rnorm(15) m1 <- lm(cbind(dv1, dv2, dv3) ~ iv1 + iv2) …
stm
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Multi-class Multivariate Probability in Tensorflow

I'm trying to build a multivariate normal distribution from my multiclass problem. Lets suppose we have c*N*x data where c is number of classes (>2), N is samples number for class c and x is number of features. What I'm trying to get is the…
TheEnigmist
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How to find outliers in multivariate data with weak covariance

I have used PCA and Mahalanobis distance to find outliers. But in both cases, only the highest or lowest values are detected as outliers. I am looking for a way that any data point that does not follow a certain correlation between output and 3…
nothing to prove
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Normality for longitudinal data in R

I am working on a dataset with longitudinal data and my goal is to check the normality of the variable value. Below I have put an example of the dataset I am working on. I would need a method in R to test the normality of value taking into account…
Bibi
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Error code: must have identical levels in the same order

When running the MCMCglmm function I get the following error message: fit_mcmc <- MCMCglmm(exchange ~ assocSRI,random=~mm(ID1 + ID2), data=within_dyad) Error in buildZ(rmodel.terms[r], data = data, nginverse = names(ginverse)) : terms involved in…
Emma Chereskin
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Distribution of Isotropic Gaussian Blobs generated by sklearn.datasets.make_blobs()?

Could someone explain the meaning of isotropic gaussian blobs which are generated by sklearn.datasets.make_blobs(). I am not getting its meaning and only found this Generate isotropic Gaussian blobs for clustering on sklearn documentation. Also I…
Girish Kumar Chandora
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How do I plot curves of multivariate functional data in R based on a matrix?

I need the power of the community! I aim to plot curves from multivariate functional data in R but I don't even know where to start looking for help... I have a matrix (or data frame) including the values of 20 variables for almost 72,000 users (see…
J001
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The Granger causality test Python - sm.tsa.stattools.grangercausalitytests

What does it mean when python outputs "The Granger causality test statistic cannot be compute because the VAR has a perfect fit of the data."
Maria Gonzalez Bocanegra
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Any Multivariant Testing available for Native Mobile Apps

So, I am trying to search for a multivariant testing option available for native mobile apps. I am not able to find any online. Been going through blogs and google and I could only find Google Optimize and also saw few others like optimizely But…
Darpal
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Interpretation of a multivariate linear model

I have a question about the model matrix and parameter matrix of the linear multivariate model fit to the iris data set in R. This is the code (function lm) I am using and the outputs: > (fm =…
Sss
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Non-parametric Multivariate Linear Regression in R?

I'm attempting to do some multivariate linear regressions on 3 features I've extracted from some brain imaging data (linked via joint ICA). Analysis of Variance Table Df Pillai approx F num Df den Df …
TDeramus
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DCA : Labelling points with autoplot or ggplot2

I find very difficult to put labels for sites with a DCA in a autoplot or ggplot. I also want to differentiate the points on the autoplot/ggplot according to their groups. This is the data and the code I used and it went well until the command for…
jammah
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Hotellings T2 in R

I am trying too use the Hotellings T2 test in r too compare two vectors. Will the hotellings t2 test automatically calculated the mean of the 2 vectors I am comparing or will I have too do it myself? Many thanks The function I am using…
Conor Murphy
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RDA with small data set is not performing full analysis

I am trying to perform an RDA analysis with a simple dataset but I keep on having the same errors even though the data is standardized. Can anyone help me understand what is the problem with this…
Patricia Nunes
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