paos function implements profile analysis for one sample using Hotelling's T-square.
A data matrix or data frame; rows represent individuals, columns represent variables.
If TRUE (default), variables are standardized by dividing their standard deviations.
paos function runs profile analysis for one sample based on the Hotelling's T-square test and
tests the two htypothesis. First, the null hypothesis that all the ratios of the variables in the data are
equal to 1. After rejecting the first hypothesis, a secondary null hypothesis that all of the ratios of the
variables in the data equal to one another (not necessarily equal to 1) is tested.
A summary table is returned, listing the following two hypothesis:
Hypothesis 1 - Ratios of the means of the variables over the hypothesized mean are equal to 1.
Hypothesis 2 - All of the ratios are equal to each other.
1 2 3 4 5
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.