residual_plots function

Several types of residual plots

Several types of residual plots

Residual plots for a output model of class performs_ammi, waas, anova_ind, and anova_joint. Seven types of plots are produced: (1) Residuals vs fitted, (2) normal Q-Q plot for the residuals, (3) scale-location plot (standardized residuals vs Fitted Values), (4) standardized residuals vs Factor-levels, (5) Histogram of raw residuals and (6) standardized residuals vs observation order, and (7) 1:1 line plot

residual_plots( x, var = 1, conf = 0.95, labels = FALSE, plot_theme = theme_metan(), band.alpha = 0.2, point.alpha = 0.8, fill.hist = "gray", col.hist = "black", col.point = "black", col.line = "red", col.lab.out = "red", size.lab.out = 2.5, size.tex.lab = 10, size.shape = 1.5, bins = 30, which = c(1:4), ncol = NULL, nrow = NULL, ... )

Arguments

  • x: An object of class performs_ammi, waas, anova_joint, or gafem
  • var: The variable to plot. Defaults to var = 1 the first variable of x.
  • conf: Level of confidence interval to use in the Q-Q plot (0.95 by default).
  • labels: Logical argument. If TRUE labels the points outside confidence interval limits.
  • plot_theme: The graphical theme of the plot. Default is plot_theme = theme_metan(). For more details, see ggplot2::theme().
  • band.alpha, point.alpha: The transparency of confidence band in the Q-Q plot and the points, respectively. Must be a number between 0 (opaque) and 1 (full transparency).
  • fill.hist: The color to fill the histogram. Default is 'gray'.
  • col.hist: The color of the border of the the histogram. Default is 'black'.
  • col.point: The color of the points in the graphic. Default is 'black'.
  • col.line: The color of the lines in the graphic. Default is 'red'.
  • col.lab.out: The color of the labels for the 'outlying' points.
  • size.lab.out: The size of the labels for the 'outlying' points.
  • size.tex.lab: The size of the text in axis text and labels.
  • size.shape: The size of the shape in the plots.
  • bins: The number of bins to use in the histogram. Default is 30.
  • which: Which graphics should be plotted. Default is which = c(1:4) that means that the first four graphics will be plotted.
  • ncol, nrow: The number of columns and rows of the plot pannel. Defaults to NULL
  • ...: Additional arguments passed on to the function patchwork::wrap_plots().

Examples

library(metan) model <- performs_ammi(data_ge, ENV, GEN, REP, GY) # Default plot plot(model) # Normal Q-Q plot # Label possible outliers plot(model, which = 2, labels = TRUE) # Residual vs fitted, # Normal Q-Q plot # Histogram of raw residuals # All in one row plot(model, which = c(1, 2, 5), nrow = 1)

Author(s)

Tiago Olivoto tiagoolivoto@gmail.com