sdapredvars: Preparing explanatory variables data for SDA-based prediction

In SecDim: The Second Dimension of Spatial Association

Preparing explanatory variables data for SDA-based prediction

Description

Function for preparing explanatory variables data for SDA-based prediction or the testing data for cross validation

Usage

sdapredvars(xlist)

Arguments

xlist

A list of the SDA explanatory variables

Value

A data.frame of variables for prediction or validation

Examples

data("obs")
data("sample_vars_sda")
obs$Cr_ppm <- log(obs$Cr_ppm)
krm <- rmvoutlier(obs$Cr_ppm)
y <- obs$Cr_ppm[-krm]
x <- list(sample_vars_sda[[1]][-krm, 1:11])
kvalidate <- sample(length(y), 0.3*length(y), replace = FALSE)
yv <- y[kvalidate]
xv <- lapply(x, function(x) x[kvalidate,])
sdaxv <- sdapredvars(xv)
sdayxv <- cbind(yv, sdaxv)

SecDim documentation built on May 31, 2023, 8:58 p.m.