Multivariate refers to analyses where there is >1 response / dependent variable of interest in the statistical analysis. This can be contrasted w/ *multivariable* analyses, which typically implies >1 predictor / independent variable.

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Multivariate Multiple Logistic Regression in R

I have several dependent and independent variables. All my dependent variables are binary, therefore, I want to perform a multivariate multiple logistic regression, is that possible to do in R?
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Multivariate regression with 3 dependent variables and only 1 independent variable?

I need to compare the marginal effect of one independent variable (X) in 3 different dependent variables (Y). I did a multivariate regression using Stata commands manova and mvreg, but I am doubting ...
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What is the name of this type of tree / graph / representation?

I have come across a tree like way to organize variables and I wonder if anybody knows the name. A colleague thinks it has a "Japanese sounding name" (sorry by no mean I wish to be derogatory). So ...
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Multivariate stats

I have the following data to analyse and not sure what the best method would be. I have percent coverage data for several invasive plant species. as well as several variables including different land ...
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Find the median individual with observations on multiple variables over time

I have a question regarding the use of median. We collected data concerning disease development on hosts. We gathered the evolution of three variables over time on individuals. Their characteristics: ...
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Multivariate two-sample comparison

I want to test whether two objects are similar or not. I have multivariate samples like this: Object1: X1, Y1, Z1, etc. Object2: X2, Y2, Z2, etc. Each letter is a variable, where same letter means ...
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Compare $R^2$ statistical significance in multivariate multiple regression

I have a multivariate multiple regression model with 3 dependent variables and the same 5 covariates. I used manova and mvreg in ...
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56 views

large y, small n

"Large p, small n" typically refers to "many independent variables, few samples". In my case, I have 1 independent variable, 300 dependent variables, and < 20 samples. Thus, my case is not the ...
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Validation of the gene-signature predictor reconstructed using Cox PH

I reconstructed a prognostic gene model including four genes using univariate and then multivariate Cox PH model. The model is used for predicting prognosis in patients with a specific cancer ...
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Univariate Kolmogorov-Smirnov test instead of multivariate

Since it is not easy to apply a Multivariate Kolmogorov-Smirnov test for two samples, I thought: is it possible to compare the different statistics with the univariate KS? For example: Object 1: ...
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Independence of half Wishart and multivariate t?

Let $S$ be a Wishart random variable with parameter $I_p$ and $n$ degrees of freedom, and let $z$ be an independent zero mean $p$-variate Gaussian random variable. Let $V$ be the symmetric square root ...
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Wilcoxon rank-sum test for multivariate case when pdf is known

I have sample of around 100 of observations. Each of them is the vector of real numbers of size 30. Also I have pdf which I think may describe the source distribution of my sample. The pdf has ...
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Covariance for a multivariate Bayesian Additive Regression Tree

Chipman, George, and McCullogh (2010) state that: One can also extend the sum-of-trees model to a multivariate framework such as: $$ (29) \qquad\qquad Y_i = h_i\left( x_i \right) + ...
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Fitting data in multivariate Gaussian

I have a dataset of N*d feature vectors and I was asked to fit them in a multivariate gaussian, with a matlab function (that someone else has programed) that recieves the number of points, mean and ...
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Does it make sense to preprocess using autoscaling followed by standard normal variate

I have spectroscopic data of which this preprocessing clearly works best to classify. I haven't seen many apply it however. Does it make sense to preprocess using autoscaling followed by standard ...
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Design study choice for multivariate time series data

I am involved in a research project in which we have data about students and their learning activities. We have two courses C1 and C2 and in each course students communicated using some of the three ...
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24 views

How to predict 4 dependent ordinal DV from 6 ordinal/nominal IVs

My question is simple. I got 4 ordinal variables and I wish to investigate the extent that other 6 ordinal/nominal variables predicts their values. I know that ordinal regression is the appropriate ...
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multi variate tests - how to find real confidence

We're running multi variate tests on websites. See actual data below. Basically in a session for each banner we randomly choose whether to show/hide it and calculate conversion rates for the show and ...
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Univariate fixed effect Vs Multivariate model -Negative Covariance, positive parameter estimate, but why?

I am trying to compare the results of two models. The first model looks at y with x as a fixed effect. The second looks at the covariance between x and y. Both models have repeated measures for x ...
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Rules of thumb for PERMANOVA

I'm currently assessing the best option for looking at some community composition data, and determining how they differ among locations. Ultimately, as I'm simply looking to see if there is a ...
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28 views

Multiple testing

I am regressing different dependent variables using same set of predictors for all dependent variables such as ...
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Python module request: Spectral density estimation for multivariate time series

I have worked with scipy.signal.welch and spectrum.pptm to calculate power spectral density with Welch and Multitaper methods. However as far as I can see these functions are meant for one dimensional ...
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37 views

R: random sampling for multivariate normal and log-normal distributions

I want to generate random monthly (m) temperature (T) and Precipitation (P) data considering that both variables are intercorrelated (rTP[m]) The tricky thing is that my random variables that have ...
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Estimate multivariate distribution of dependent variables

Let $H$~$\mathcal{N}(\mu_H,{\sigma_H}^2)$ and $S$~$\mathcal{N}(\mu_S,{\sigma_S}^2)$. $H$ and $S$ are dependent of each other and their covariances are unknown. Let $G = H - S$ and the mean and ...
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Confidence Interval on a random quantity?

Suppose $\vec{a}$ is an unknown $p$-vector, and one observes $\vec{b} \sim \mathcal{N}\left(\vec{a}, \frac{1}{n} I\right)$. (For example, the sample mean based on $n$ observations of i.i.d. normal ...
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Variable significance for assessment results

I am trying to analyze multiple variables of our student population as it comes to assessment outcomes. I have the assessment change score and demographic information such as (race, sex, age, program, ...
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What are some suggestions for analysis of and model development for a small sample of data?

I originally planned on path analysis utilizing multivariate multiple regression to test my hypothetical model - but I am not getting my sample size. I have looked at non-parametric regression ...
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Violation of assumption of two sample Hotelling's test

I would like to compare the nutrient intake of men and women. But the assunption of same variance covariance matrix is violated and therefore two sample hotelling's test cannot be applied. How elsed ...
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logistic regression with dummy variables for fractional factorial design

We have conducted a survey experiment with varying amounts of incentive (factor 1 = I1, I2, I3, I4, I5). The experiment was conducted stepwise in three subsequent studies (factor 2 = S1, S2, S3). ...
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multivariate analysis for time/place where animals are sighted

I have many marked animals that are sighted occasionally. So I have a table with the following columns: Animal DateTime Lat Lon Each animal (about 500) has ...
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Similarities and dissimilarities between optimal scaling procedures in CATPCA and MCA

I have seen that multiple correspondence analysis (MCA) can also be seen as a generalization of principal component analysis when the variables to be analyzed are categorical instead of quantitative. ...
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Multiple Factor analysis and squared cosines

I am a bit confused on how to proceed using the MFA analysis from FactoMineR in my data set. I am currently working with activity results of 15 bacteria (b1, b2, b3, b4, b5,.., b15), divided into 3 ...
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Comparing anomaly detection algorithms

My question is how can different anomaly detection algorithms be compared for my specific dataset. Essentially, I have multivariate timeseries (physical quantities such as temperature, pressure) and a ...
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Co-occurrence statistics for sets

I am looking for help in the following situation: I have a set of numbers $A=\{1, 2, \dots, 100\}$, and I am drawing subsets of 10 of these numbers $\{a_1, a_2, \dots, a_{10}\}$ according to an ...
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Does joint normality imply marginal normality?

If it is given that an $N\times1$ random vector ${\bf x} = [x_1,x_2,\ldots,x_N]^T$ has a multivariate normal (MVN) distribution, it implies that all constituent random variables $x_n; n\in[1,N]$ are ...
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Multivariate analysis?

I realize this might be a fairly broad question but could anyone suggest an appropriate statistical approach for analyzing this kind of data? For example does % of dead cells differ significantly ...
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Combining two interval measures to correlate to a third - How?

I want to compare the scores received on two separate measures together to a third measure. They each have raw scores available and I was wondering if I found the z-scores for the first two interval ...
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Multivariate normal distribution has peaks

I'm trying to calculate a bivariate normal distribution in matlab(with mvnpdf), but the pdf I obtain has a strange shape with several peaks. This is the code I use: ...
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How to justify the statistical independence among two sets of continuous multivariate observations

I have two sets of continuous multivariate observations $X=\{x_1, x_2, ..., x_d\}$ and $Y=\{y_1, y_2, ..., y_d\}$. How can I justify if they are statistically independent or not? For simplicity, I ...
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How can I a “multiplier effect” in time series data?

I currently have data corresponding to how often a certain set of songs were downloaded. Each song has a release date, and then the number of downloads per day going forward to today. It would look ...
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MV GARCH DCC - t-test with high t-statistics

I use multivariate GARCH DCC to compute volatilities of 3 (stationary, supposedly) time series. Then I test the differences between these three volatility series with t-test and get very high ...
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PERMANOVA on categorical data set

I am trying to perform a multivariate analysis using R and as I have a ecololgical dataset of categorical data only, is it possible to use PERMANOVA on this type of dataset? Thanks
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Multivariate multiple moderated regression

My Dissertation analysis method involves a Multivariate multiple moderated regression. Where I have 4 Dependent Variables (DVs) and 4 Independent Variables (IVs). My model 1 is testing main effects ...
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Help: Am I using the correct test to detect differences from zero (multivariate ANOVA repeated mesures)

01 August 2014 11:17 Hi, I have 5 measures repeated 3 times under 3 different scenarios (conditions). The measures are survey questions and participants use a visual analogue scale to mark a ...
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Help: Repeated Measures Multivariate Analysis in SPSS

I have 5 measures repeated 3 times under 3 different scenarios (conditions). The measures are survey questions and participants use a visual analogue scale to mark a response from 0.0 to 15.0. Thus ...
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Reference for dimension reduction techniques

This is a follow-up question to Is PCA appropriate for comparing subsets of panel data?. It turns out that, yes, PCA is appropriate. But there are also many other ways to reduce n-dimensional data to ...
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nMDS in vegan for soil data

I am working with abiotic soil data such as bulk density, moisture levels and soil chemistry as response data (some quantitative some as percentages) and a mix of abiotic and biotic data as ...
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Minimizing the Training data

I have a grey-box model of the form Y= a + b X1 + c X2. Where a, b and c are the coefficients based on regression. The regression variables X1 and X2 are determined based on ...
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VARMAX model in R

Is there a function in R that estimates the VARMAX model? There is one for a VARX (MTS package), but I didn't find one that works with the MA part also...
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Distance between two random vectors

I have two random vectors, $A$ and $B$ with each consisting of $n$ geographical co-ordinates $(x_1,y_1),(x_2,y_2)\dots (x_n,y_n)$ and $(\tilde{x}_1,\tilde{y}_1),(\tilde{x}_2,\tilde{y}_2)\dots ...