plot.mbl: Plot method for an object of class 'mbl'

In resemble: Memory-Based Learning in Spectral Chemometrics

Plot method for an object of class mbl

Description

Plots the content of an object of class mbl

Usage

## S3 method for class 'mbl'
plot(x, g = c("validation", "gh"), param = "rmse", pls_c = c(1,2), ...)

Arguments

x	an object of class mbl (as returned by mbl).
g	a character vector indicating what results shall be plotted. Options are: "validation" (for plotting the validation results) and/or "gh" (for plotting the pls scores used to compute the GH distance. See details).
param	a character string indicating what validation statistics shall be plotted. The following options are available: "rmse", "st_rmse" or "r2". These options only available if the mbl object contains validation results.
pls_c	a numeric vector of length one or two indicating the pls factors to be plotted. Default is c(1, 2). It is only available if "gh" is specified in the g argument.
...	some arguments to be passed to the plot methods.

Details

For plotting the pls scores from the pls score matrix (of more than one column), this matrix is first transformed from the Euclidean space to the Mahalanobis space. This is done by multiplying the score matrix by the root square of its covariance matrix. The root square of this matrix is estimated using a singular value decomposition.

Author(s)

Leonardo Ramirez-Lopez and Antoine Stevens

See Also

mbl

Examples

library(prospectr)

data(NIRsoil)

Xu <- NIRsoil$spc[!as.logical(NIRsoil$train), ]
Yu <- NIRsoil$CEC[!as.logical(NIRsoil$train)]
Yr <- NIRsoil$CEC[as.logical(NIRsoil$train)]
Xr <- NIRsoil$spc[as.logical(NIRsoil$train), ]

Xu <- Xu[!is.na(Yu), ]
Yu <- Yu[!is.na(Yu)]

Xr <- Xr[!is.na(Yr), ]
Yr <- Yr[!is.na(Yr)]

ctrl <- mbl_control(validation_type = "NNv")

ex_1 <- mbl(
  Yr = Yr, Xr = Xr, Xu = Xu,
  diss_method = "cor",
  diss_usage = "none",
  gh = TRUE,
  mblCtrl = ctrl,
  k = seq(50, 250, 30)
)

plot(ex_1)
plot(ex_1, g = "gh", pls_c = c(2, 3))

resemble documentation built on April 21, 2023, 1:13 a.m.