View source: R/plot_residuals_diagnostics.R
plot_residuals_diagnostics | R Documentation |
Plots normality and autocorrelation tests of model residuals.
plot_residuals_diagnostics( model, point.color = viridis::viridis(100, option = "F"), line.color = "gray10", fill.color = viridis::viridis(4, option = "F", alpha = 0.95)[2], option = 1, ncol = 1, verbose = TRUE )
model |
A model produced by |
point.color |
Colors of the plotted points. Can be a single color name (e.g. "red4"), a character vector with hexadecimal codes (e.g. "#440154FF" "#21908CFF" "#FDE725FF"), or function generating a palette (e.g. |
line.color |
Character string, color of the line produced by |
fill.color |
Character string, fill color of the bars produced by |
option |
(argument of |
ncol |
(argument of |
verbose |
Logical, if |
A patchwork object.
if(interactive()){ #load example data data(plant_richness_df) data(distance_matrix) #fit a random forest model x <- rf( data = plant_richness_df, dependent.variable.name = "richness_species_vascular", predictor.variable.names = colnames(plant_richness_df)[5:21], distance.matrix = distance_matrix, n.cores = 1 ) #residuals diagnostics plot_residuals_diagnostics(x) }
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