Nothing
## ---- include = FALSE---------------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
## ----setup--------------------------------------------------------------------
library(groupWQS)
## ---- include=T---------------------------------------------------------------
data(simdata)
head(simdata)
## ---- include=T---------------------------------------------------------------
group_list <- list(c("pcb_118", "pcb_138", "pcb_153", "pcb_180", "pcb_192"),
c("as", "cu", "pb", "sn"),
c("carbaryl", "propoxur", "methoxychlor", "diazinon", "chlorpyrifos"))
X <- make.X(simdata, num.groups = 3, groups = group_list)
head(X)
## ---- include=T---------------------------------------------------------------
x.s <- make.x.s(simdata, num.groups = 3, groups = group_list)
x.s
## ---- include=T---------------------------------------------------------------
Y <- simdata$Y
## ---- include=T---------------------------------------------------------------
Y.train <- Y[1:700]
Y.valid <- Y[701:1000]
X.train <- X[1:700,]
X.valid <- X[701:1000,]
## ---- include=T---------------------------------------------------------------
results <- gwqs.fit(y = Y.valid, y.train = Y.train, x = X.valid, x.train = X.train, x.s = x.s,
B=100, n.quantiles = 5, func = "binary")
## ---- include=T---------------------------------------------------------------
summary(results$fit)$coefficients
## ---- include=T---------------------------------------------------------------
summary(results$fit)$aic
## ---- include=T---------------------------------------------------------------
exp(confint(results$fit))
## ---- include=T, out.height="60%", out.width="60%", fig.cap=c("Figure 1: Importance plot for chemical concentration weights of GWQS1 index", "Figure 2: Importance plot for chemical concentration weights of GWQS2 index", "Figure 3: Importance plot for chemical concentration weights of GWQS3 index")----
chem_groups <- c("PCBs", "Metals", "Insecticides")
weight.plot(results, chem_groups)
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