factor_cor_plot {klovan}

factor correlation plot

Description

factor correlation plot

Usage

factor_cor_plot(
  data,
  FAC_1,
  FAC_2,
  num_fac = 3,
  text_col = "red",
  line_col = "lightblue"
)

Arguments

data

A dataset of class data.frame. The data should contain 'C_X' and 'C_Y' columns representing the x and y coordinates of the data points and excludes any rank, ID, or column not for analysis, see README for details. It will be that will be converted into a plottable dataframe, see README for details or a plottable data frame created from the factor_analysis() function

FAC_1

the first factor to be compared. A string that can be chosen from FA1:FA3 or FA1:FAnum_fac e.g. "FA1"

FAC_2

the first factor to be compared. A string that can be chosen from FA1:FA3 or FA1:FAnum_fac e.g. "FA2"

num_fac

a numeric value for how many factors to analyze. Recommended to use 3 and default to 3.

text_col

an R color, the color of the text lables, defaults to "red"

line_col

an R color, the color of the lines, defaults to "lightblue"

Value

a ggplot object of the correlation plot

Examples

data("Klovan_Row80")
fa_plot1 <- factor_cor_plot(Klovan_Row80, "FAC1", "FAC2", 2)
fa_plot1

factor_cor_plot(Klovan_Row80, "FAC1", "FAC3")

fa_plot2 <-factor_cor_plot(factor_analysis(Klovan_Row80), "FAC1", "FAC3", 4)
fa_plot2