moose_biplot: A Function to describe each feature in a data frame of...
In hughesevoanth/moosefun: Functions by Moose

moose_biplot

R Documentation

A Function to describe each feature in a data frame of metabolite data.

Description

This function estimates the correlation structure among two factors, using a chi-square test and the Crammer's V statsitic

Usage

moose_biplot(
  PCA,
  dataframe_of_phenotypes,
  plot_top_N_phenotypes = 3,
  grouping1 = NA,
  grouping1NAME = NA,
  grouping2 = NA,
  grouping2NAME = NA,
  cir.size = 1.75,
  scalearrows = FALSE
)

Arguments

`PCA`	a prcomp object
`dataframe_of_phenotypes`	a dataframe of phenotypes to correlate against PC1 and PC2 of the prcomp object. The function currently only uses quantitative traits in the analysis. Categorical is not possible, yet.
`plot_top_N_phenotypes`	an integer specifying how many of the top correlated phenotypes should be plotted
`groupfactor`	a vector of class categorical, of the sample length, as the number fo data points in PC1 and PC2. This categorical data will aid in color coding your plotted points.