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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