weight.plot: Generates Plots of weights by group

In groupWQS: Grouped Weighted Quantile Sum Regression

Description

This function takes the object created by the wqs.fit function and a vector of group names and generates a random forest variable importance plot for each group. The weights in each group are listed in descending order.

Usage

weight.plot(fit.object, group.names)

Arguments

fit.object	The object that is returned by the wqs.fit function
group.names	A string vector containing the name of each group included in the GWQS regression. Will be used for plot titles.

Value

A plot for each group of the GWQS regression

Examples

data("WQSdata")
group_list <- list(c("X1", "X2", "X3"), c("X4", "X7"), c("X5", "X6", "X9", "X8"))
chem_groups <- c("PCBs", "Metals", "Insecticides")
x.s <- make.x.s(WQSdata, 3, group_list)
X <- make.X(WQSdata, 3, group_list)
Y <- WQSdata$y
results <- gwqs.fit(y = Y, x = X, x.s = x.s, B=1, func = "continuous")
weight.plot(results, chem_groups)

groupWQS documentation built on July 1, 2020, 10:29 p.m.