malinvaud: Malinvaud's test for significance of the CA dimensions
In trinker/CAinterprTools: Package for graphical aid in Correspondence Analysis interpretation and significance testing
Description
Usage
Arguments
Examples
Description
This function allows you to perform the Malinvaud's test, which assesses the significance of the CA dimensions. The function returns both a table in the R console and a chart. The former lists some values, among which the significance of each CA dimension. The chart is a scatterplot of dimensions against p value. Dimensions whose p value is below the 0.05 threshold (displayed in RED) are significant.
Usage
1
Arguments
data
Name of the dataset.
Examples
1
trinker/CAinterprTools documentation built on May 31, 2019, 7:54 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Examples
Description
This function allows you to perform the Malinvaud's test, which assesses the significance of the CA dimensions. The function returns both a table in the R console and a chart. The former lists some values, among which the significance of each CA dimension. The chart is a scatterplot of dimensions against p value. Dimensions whose p value is below the 0.05 threshold (displayed in RED) are significant.
Usage
1 |
Arguments
data |
Name of the dataset. |
Examples
1 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.