canCorrPlot: Canonical Correlation Analysis

In s-huebler/rotateS21: Shiny Data Rotation

Description

This function will perform a canonical correlation analysis between the 2 data sets entered as arguments and plot one or all of the observations and the variables in the component space for any of the different pairs of linear combinations.

Usage

canCorrPlot(df1, df2, plotType = "obs", pair = 1, labels)

Arguments

df1	, df1 is a data frame with numerical columns
df2	, df2 is a data frame with numerical columns
plotType,	either "obs" for observation plot or "bi" for plots of the differnt variables from both data sets or "tri" for all scores
pair,	pair tells which pair of linear combinations will make up the axes
labels,	label all names of variables in df1 and df2 in order

Examples

data <- rotateS21::covidWrangled
demographics <- data[,9:15]
severity <- data[,16:19]
lab <- c("Male", "Asian", "Black", "MultiRace", "NativePI", "White", "Ethnicity", "Symptomatic", "Hospital", "ICU", "Death")
canCorrPlot(demographics,severity, labels=lab)

s-huebler/rotateS21 documentation built on Dec. 22, 2021, 8:21 p.m.