funcharts (version 1.7.0)

plot_control_charts: Plot control charts

Description

This function takes as input a data frame produced with functions such as control_charts_pca and control_charts_sof_pc and produces a ggplot with the desired control charts, i.e. it plots a point for each observation in the phase II data set against the corresponding control limits.

Usage

plot_control_charts(cclist, nobsI = 0)

Value

A ggplot with the functional control charts.

Arguments

cclist

A data.frame produced by control_charts_pca, control_charts_sof_pc regr_cc_fof, or regr_cc_sof.

nobsI

An integer indicating the first observations that are plotted in gray. It is useful when one wants to plot the phase I data set together with the phase II data. In that case, one needs to indicate the number of phase I observations included in cclist. Default is zero.

Details

Out-of-control points are signaled by colouring them in red.

Examples

library(funcharts)
data("air")
air <- lapply(air, function(x) x[1:100, , drop = FALSE])
fun_covariates <- c("CO", "temperature")
mfdobj_x <- get_mfd_list(air[fun_covariates],
                         n_basis = 15,
                         lambda = 1e-2)
mfdobj_y <- get_mfd_list(air["NO2"],
                         n_basis = 15,
                         lambda = 1e-2)
mfdobj_y1 <- mfdobj_y[1:60]
mfdobj_y_tuning <- mfdobj_y[61:90]
mfdobj_y2 <- mfdobj_y[91:100]
mfdobj_x1 <- mfdobj_x[1:60]
mfdobj_x_tuning <- mfdobj_x[61:90]
mfdobj_x2 <- mfdobj_x[91:100]
mod_fof <- fof_pc(mfdobj_y1, mfdobj_x1)
cclist <- regr_cc_fof(mod_fof,
                      mfdobj_y_new = mfdobj_y2,
                      mfdobj_x_new = mfdobj_x2,
                      mfdobj_y_tuning = NULL,
                      mfdobj_x_tuning = NULL)
plot_control_charts(cclist)