factor_score_plot {klovan}

Map the Factor Scores

Description

This function creates a faceted plot of each rotated factor score, which could be interpreted as the elements of a "phantom" variable. This function aids in defining the relationship between the phantom variables and the known ore body by producing a contoured map for each variable.

Usage

factor_score_plot(
  Interp_Data,
  overlay,
  data,
  FA_colors = c(FA1 = "black", FA2 = "blue", FA3 = "darkred", FA4 = "green", FA5 =
    "purple", FA6 = "orange", FA7 = "yellow", FA8 = "pink", FA9 = "cyan", FA10 =
    "magenta")
)

Arguments

Interp_Data

A plottable data frame produced by the inv_dis_wt() or kriging() functions.

overlay

A Boolean input. If TRUE, the plot will overlay isolines; if FALSE, it will not.

data

a klovan dataset (transformed, untransformed, outlier, etc), see README for details.

FA_colors

A named vector of colors for different factors. Defaults to a set color palette.

Value

A ggplot object representing the Factor Scores plot.

Examples

data("Klovan_Row80")
factor_plot1 <- factor_score_plot(inv_dis_wt(Klovan_Row80), TRUE, data = Klovan_Row80)
factor_plot1

your_interp_data_IDW <- inv_dis_wt(Klovan_Row80, 3)
factor_score_plot(your_interp_data_IDW, FALSE, data = Klovan_Row80)