Description Usage Arguments Author(s) Examples
View source: R/residual_plots.R
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 QQ plot for the residuals,
(3) scalelocation plot (standardized residuals vs Fitted Values), (4)
standardized residuals vs Factorlevels, (5) Histogram of raw residuals and
(6) standardized residuals vs observation order, and (7) 1:1 line plot
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22  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,
...
)

x 
An object of class 
var 
The variable to plot. Defaults to 
conf 
Level of confidence interval to use in the QQ plot (0.95 by default). 
labels 
Logical argument. If 
plot_theme 
The graphical theme of the plot. Default is

band.alpha, point.alpha 
The transparency of confidence band in the QQ 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 
ncol, nrow 
The number of columns and rows of the plot pannel. Defaults
to 
... 
Additional arguments passed on to the function

Tiago Olivoto tiagoolivoto@gmail.com
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19  library(metan)
model < performs_ammi(data_ge, ENV, GEN, REP, GY)
# Default plot
plot(model)
# Normal QQ plot
# Label possible outliers
plot(model,
which = 2,
labels = TRUE)
# Residual vs fitted,
# Normal QQ plot
# Histogram of raw residuals
# All in one row
plot(model,
which = c(1, 2, 5),
nrow = 1)

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