Questions tagged [multivariate-analysis]

Analyses/models where there is more than one response (dependent) variable. Commonly confused with "multiple" or "multivariable" analysis, which has more than one predictor (independent) variable.

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Distance to find similar samples in a multivariate dataset

Apart from Euclidean and Mahalanobis distance metrics. Given a sample with multivariable values, is there a way to find the samples that are similar to the given sample? Does KNN clustering find the ...
sveer's user avatar
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Modeling Wildlife Survey Data with Conditional Outcomes

I'm working on a project involving surveying for an invasive species which is removed upon encounter. When an individual is encountered, morphometrics are collected (e.g., size and sex). I'm ...
Alex Romer's user avatar
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Repeated measures microbiome data with baseline measurement: comparison of two treatments

I am interested in any advice I can get on different ways I might analyze multivariate ecological community (fecal sample microbiome) data that come from a "before after control impact" ...
qdread's user avatar
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Thesis - asserting good variable selection [closed]

Requesting some input for my thesis; We want to do a quantitive analysis on how consumer satisfaction (Dependant variable) is with Youtube ads. Then run a regression on independent variables like ...
Carl Berglund's user avatar
3 votes
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How to code for a mulitgroup analysis concerning two catagorical variables

I have a question on syntax for Mplus. I am running a multivariate latent growth curve with 7 repeated measures, variables X and Y (diagram attached). I also have two grouping variables, sex and ...
EmH's user avatar
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Multivariate analysis with lmer and lmerTest

I'm dealing with compositional data (data that sum to 1). They are inherently multivariate. One way to analyse compositional data is with a ilr (isometric log-ratio) transformation. I'm following the ...
Nee's user avatar
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Is this regression problem solvable?

I have a random vector $\pmb{x}=(X_1,...,X_p)^T\in \mathbb{R}^p$, a symmetric matrix $$\Theta = \left(\begin{matrix}0 & \theta_{12} & \theta_{13} & \cdots & \theta_{1p}\\ \theta_{12} &...
Hepdrey's user avatar
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Appropiate ordination methods for compositional (percent) microbial species abundances explained by continous environmental variables

I aim to investigate the impact of various continuous environmental factors (such as nitrogen, phosphorus, etc.) on the composition of microbial communities within soil samples. These environmental ...
Cordex's user avatar
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Multivariate Normal Distribution. How do we apply this to dataset?

I am having a hard time understanding the concept of a multivariate normal distribution. From my understanding, it assumes each group is normally distributed, making one joint normal distribution with ...
Taewooo Kim's user avatar
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Average treatment effect (ATE) estimation via matching method while outcomes of control population are constant

I want to estimate the average effect of a treatment that was given with a selection bias. To do this, I'd like to use a matching method. Basically, this method involves finding, for each treated ...
HnbBarca's user avatar
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R packages for multivariate (two response variables) generalized linear mixed effects models

Are there any R packages with multivariate (multiple response variable) generalized linear mixed effects model capabilities? Specifically, are there any using a frequentist framework (I am aware of ...
Joe M's user avatar
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Which variables I should include in the multivariable Cox regression model?

I'm performing a survival analysis and I have some quantitative variables that I categorized (but I also mantained the quantitative variable for the univariate analysis). For example, I have the ...
Arthurr's user avatar
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ssnonpartest test for nonparametric inference for multivariate data - interpretation

I know the test is the correct one for my data but I'm struggling to interpret the results in a way I can coherently report. Using the example from the paper (https://www.jstatsoft.org/article/view/...
Anthony BH's user avatar
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Adding ordihulls to a CCA triplot [migrated]

I have recently completed a CCA composed of 40 grass species and 14 environmental variables on separate matrices at 75 different sites. I would now like to visually group the species based on their ...
Chloe Payne's user avatar
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Multivariate mixture models with INLA: Relating CAR random effect to the MVN covariance matrix

For a research project I am trying to implement a multivariate mixture model on areal data using Integrated Nested Laplace Approximation (INLA). Let $y_{i,d}$ be a data point, where $i = 1, 2, \cdots, ...
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Multivariate meta-analysis with sparse multivariate array

I am wishing to conduct a meta-analysis that has many end-point measures that are all supposed to reflect a single concept - let's call it poor mental health. That would include things like ...
J Taylor's user avatar
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2 votes
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Which statistical test to use analyzing multivariate brain scan data (Channels, Frequency Bands, Measures)?

As a Computer Science student inexperienced in statistics, I'm looking for some advice on selecting the appropriate statistical test for my dataset. My data, derived from brain scans, is structured ...
Syskoo's user avatar
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Multi-group structural equation model (SEM) with compositiona exposure variable

I am comparing (between countries) how housing conditions mediate the relationship between working conditions and health. Variables are: Work (Exposure = E), living conditions (Mediator = M) and ...
Jules's user avatar
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Can we use multiple ordinal endogeneous variables in SEM model using lavaan?

I have three endogenous variables each measured using 5-point likert scale ranging from Strongly Agree to Strongly Disagree. I want to use SEM for my analysis using Lavaan. All the examples I have ...
ros's user avatar
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I'm struggling to find which is the right statistical test to use?

I have two variables: cell death and diet, but on the diet variable I have several groups that I want to compare. I was thinking of doing multiple Mann-Whitney tests, but that would be very time ...
Carolina's user avatar
3 votes
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Do these graphs show normality of model residuals? [closed]

I have a linear mixed-effects model (lme4 R package) and I am trying to work out whether the model residuals meet the assumption of normality. However, by looking at the graphs below (model residuals ...
Darius's user avatar
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Correlation Metric for Investigating Relationship Between two independent variables

I'm working on a study in computer engineering where I'm analyzing the relationship between the dynamic execution count (frequency) of instructions and the corresponding data error rate (SDC) in a ...
husin alhaj ahmade's user avatar
2 votes
1 answer
28 views

Generate samples from multivariate correlated data which have non-parametric cumulative distribution functions

I have 40 samples that contain information about 6 variables (hence a 40x6 data matrix). Each variable (column) has a cumulative distribution function (marginal distribution) based on the 40 values, ...
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How to handle a dependent variable with sub-dimensions and multiple independent variables with sub-dimensions?

The variables X1, X2 and Y consist of several dimensions (based on the corresponding literature), which we asked about in advance using Likert items (1-5). However, I am not quite sure how to analyze ...
Martin's user avatar
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Multivariate sample covariance

I have a set of $X_1,...,X_n$ samples with covariance $\Sigma_1,...,\Sigma_n$. The multivariate sample mean is then $$ \left(\sum_{i=1}^n \Sigma_i^{-1} \right)^{-1} \left(\sum_{i=1}^n \Sigma_i^{-1} ...
ThibautOphelia's user avatar
1 vote
1 answer
64 views

Choosing the right statistical analysis for my data

I have 20 field plots. In each plot, I have taken between 1000–1500 measurements (continuous values) of a given variable using an instrumental device and recorded information qualitatively through ...
Darius's user avatar
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7 votes
2 answers
92 views

Univariate approach to a Bivariate logistic regression

Consider a situation where two independent agents (out of a set of many agents) look at the same problem and attempt to solve it with a yes/no response, obtaining $(Y_{i1},Y_{i2})$ for $i \in \{1,\...
Dylan's user avatar
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2 votes
2 answers
61 views

What analysis to use for one quantitative independent variable and multiple quantitative dependent variables?

My data is based on survey responses. The independent variable is aggregated based on three Likert questions between rated $1$ to $5$ (IV sums these three and divides by $3$). The four dependent ...
Patrick Kielly's user avatar
1 vote
0 answers
130 views

How to reduce number of continuous variables before I make a set of best predictors (for handgrip strength in women)

My assignment question is quoted: "2. Which set of variables best predicts handgrip strength in women? a. Reduce the number of continuous variables before doing the analysis." I do not ...
Nathan Vermaerke's user avatar
4 votes
2 answers
59 views

Copula to ensure one team wins and the other loses (Bernoulli margins)

Team $1$ has a historical win percentage of $p_1$. Team $2$ has a historical win percentage of $p_2$. The upcoming game features team $1$ against team $2$ and cannot end in a tie (one team wins, and ...
Dave's user avatar
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Distribution of covariance parameter resulting from sum of known- and unknown-covariance noise processes

Let's say I have a set $X$ of $N$ random $p$-dimensional vectors generated by $\mathbf{x}_i = \boldsymbol{\mu} + \Psi_i^{1/2} \boldsymbol{\xi}_i + \Sigma^{1/2} \boldsymbol{\zeta}_i$, where $\...
hank's user avatar
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1 vote
1 answer
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How do you count degrees of freedom in multivariate distributions?

When dealing with a multivariate distribution (e.g., a multivariate t-distribution), how does dimensionality play into degrees of freedom? Let's say you have N measurements of a d-dimensional vector, ...
hank's user avatar
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0 answers
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Multiple IVs and DVs with non-normally distributed data

I am performing a research study aiming at answering the research question: How does job design satisfaction differ between employees working in hybrid and remote work arrangements? For that I ...
JoaoFilipeClementeMartins's user avatar
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For relationship between cycling and weather variables: multivariate linear regression? PCA?

Ive been having some trouble determining which analysis to run for a project of mine looking at the relationship between cycling and env variables. I would like to include two different types of ...
user402182's user avatar
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44 views

Identifying states (or clusters) in multivariate mixed-type time series

I have multivariate time series with mixed data types, which includes continuous variables, binary variables, and variables with bimodal distributions. I need to identify distinct states or epochs in ...
graavit's user avatar
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27 views

How to choose the sample size

How do I choose a sample size for a multiple factors irrigation experimental research? Here is what I mean, I want to compare the effect of precision irrigation and conventional irrigation on crop ...
Salami Chakour's user avatar
1 vote
1 answer
30 views

Can I use kmeans on paired data?

I want to see if a treatment brings patients closer to controls using multiple dependent variables. Can I do kmeans and see if the controls are separate from the patients before treatment, but cluster ...
maglorismyspiritanimal's user avatar
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1 answer
49 views

How to interpret DCC GARCH alpha and beta (dcca1 and dccb1 in R)

I have just run a DCC GARCH model in R and am trying to interpret the output. I have run the model with 3 time series. I know that alpha and beta tell about the short- and long-term spillover effect. ...
Nina's user avatar
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1 answer
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Please can someone explain the notation of this multivariate Taylor expansion?

Kamanzi-wa-Binyavanga, 2009, wrote the following paper, Calculating Cumulants of a Taylor Expansion of a Multivariate Function: What I am confused about, is how precise the notation. I understand ...
Nick Green's user avatar
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multivariate analysis for seasonal patterns among rivers

I sampled three different rivers over one year during the four seasons. In addition, in the autumn and winter seasons I sampled both during an event of high (drought period) and low water (flood ...
Rudy Benetti's user avatar
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0 answers
28 views

Species differential abundance across time series samples

Apologies if it is a stupid question or has been asked before or I have phrased it the wrong way, but I have been looking for an answer for days and I could not find anything - so any help will be ...
Panos Sapou's user avatar
3 votes
0 answers
28 views

Are there margins such that, while the "correlation" parameters of a Gaussian copula are positive, the correlations between the margins are negative?

Let there be a multivariate distribution $F$ with margins $F_1,\dots,F_n$ and a Gaussian copula with "correlation" matrix $\Sigma$. Let the off-diagonal elements of $\sigma$ be positive. Let ...
Dave's user avatar
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1 vote
1 answer
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How do I find all the independent variables for a time series regression model?

Suppose I have a single time-dependent variable $y_{t}$ (e.g. stock price) and a few hundred independent variables $X_{it}$ with data available for the same time frame as $y_{t}$ (e.g. company revenue,...
Heiko's user avatar
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Are population principal components scale invariant?

Are population principal components scale invariant? The answer is no. I'm not sure whether my understanding regarding the first two is correct; please, correct me if I'm wrong. Also, I don't ...
reyna's user avatar
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Covariance matrix for data

Assume $n*p$ data matrix $X$, where n is the number of observations and p is the number of features. We are interested in the covariance among features. I have seen notations where covariance matrix ...
Kaiwen Wang's user avatar
4 votes
1 answer
32 views

meta-analysis of prognostic factor for models with different parameters

I am trying to meta-analysis the OR of a variable (troponin) for a dichotomous outcome (mortality). There are several multivariate logistic regressions out there, but none of them share the exact same ...
san festein's user avatar
1 vote
0 answers
9 views

Comparing two set of data and extract the most information

I have a dataset from RNA sequencing of 4 different regions and comparing 2 groups. I would like to be able to compare the average expression of each group for each gene, however, I don't know the ...
Léo Dupuis's user avatar
1 vote
0 answers
71 views

Comparison of IPTW Methods and the Role of Multivariable Regression in Small Sample Sizes

I recently conducted an observational study with a relatively small sample size, comprising three groups (A: 30 patients, B: 500 patients, C: 30 patients) with varying event rates (5-10%). To estimate ...
Ky Choi's user avatar
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Approaches to analyse microbiome of closely related individuals

I am currently analysing the gut microbiome of 36 birds under a controlled living environment and diet. Some of them have a particular disease, therefore I'd like to analyse whether the microbiome ...
Blossom's user avatar
1 vote
0 answers
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Managing Daily Quotas with Complex Equation for Resource Allocation

I have a complex resource allocation problem where I need to manage specific quantities while adhering to a daily quota of 3000 tonnes. The allocation is based on various variables, and I'm looking ...
Abdelhak Chana's user avatar

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