plot_residuals | R Documentation |
Plot the residuals, the black line is 0 line, the red line is the locally estimated scatterplot smoothing, which shows the degree of local compression.
plot_residuals(train_output, col)
train_output |
Training output, can be the output of WA-PLS, WA-PLS with
|
col |
Choose which column of the fitted value to plot, in other words, how many number of components you want to use. |
Plotting status.
TWAPLS.w
and WAPLS.w
## Not run: # Load modern pollen data modern_pollen <- read.csv("/path/to/modern_pollen.csv") # Extract taxa taxaColMin <- which(colnames(modern_pollen) == "taxa0") taxaColMax <- which(colnames(modern_pollen) == "taxaN") taxa <- modern_pollen[, taxaColMin:taxaColMax] fit_tf_Tmin2 <- fxTWAPLS::TWAPLS.w2( taxa, modern_pollen$Tmin, nPLS = 5, usefx = TRUE, fx_method = "bin", bin = 0.02 ) nsig <- 3 # This should be got from the random t-test of the cross validation fxTWAPLS::plot_residuals(fit_tf_Tmin2, nsig) ## End(Not run)
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