## Spearman’s Rho

Spearman’s Rho Rank Correlation There are generally three types of correlation that a researcher may encounter: Pearson’s r, Kendall’s Tau, and Spearman’s Rho.  They each h

## Generating Random Correlated Data Part 2

Generating Multivariate Random Associated Ordinal Datasets This is a second post on generating multivariate random associated data.  This example will create random data with pre-defined correlati

## Generating Random Correlated Data Part 1

Generating Randomly Correlated Data with Cholesky Decomposition This example shows how to transform randomly generated data continuous data into correlated data with a specified correlation.  This

## Fisher’s Exact Test

Fisher’s Exact Test Fisher’s Exact Test is a useful tool when dealing with smaller sample sizes.  It allows a researcher to use the hypergeometric distribution to calculate a p-value w

## K-Means Cluster Analysis

K-Means Cluster Analysis K-means cluster analysis is a very useful multivariate partitioning tool.  This R example shows how one can perform cluster analysis and provides an example of creating a

## Outlier Detection using Local Outlier Factor

PDF Document of Outlier Detection Outlier detection is an extremely useful tool. There are many ways to identify an outlier. This example will discuss one univariate approach and one multivariate

## Dominance Analysis

Dominance Analysis Raw Data Dominance Analysis Regression provides the ability to create models for prediction and to create models for inference.  Dominance analysis adds to that and provides th

## Latent Class Model

Latent Class Analysis This example is actually less of an example but more to draw attention to a valuable tool.  Latent class analysis is a highly useful categorical data technique that can be us

## The Jackknife

When it comes down to estimating parameters the standard error is often forgotten.   This is a slightly more complex way to estimate the standard error.  However, this is a good approach when dea

## Iterative Proportional Fitting

Iterative Proportional Fitting Once a survey is conducted it is common for the researcher to adjust the survey weights to match known population values.  This process is known as iterative proport