In ggmtech/ggQC: Quality Control Charts for 'ggplot'

Description

Plot single and multi-facet quality control charts within the ggplot framework using stat_QC and stat_mR. Calculate quality control limits using QC_Lines.

Methods supported:

Individuals Charts : mR, XmR
Attribute Charts : c, np, p, u
Studentized Charts: xBar.rBar, xBar.rMedian, xBar.sBar, xMedian.rBar, xMedian.rMedian
Dispersion Charts: rBar, rMedian, sBar

Example

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "README-"
)

library(ggplot2)
library(ggQC)


set.seed(5555)
Golden_Egg_df <- data.frame(month=1:12,
                 egg_diameter = rnorm(n = 12, mean = 1.5, sd = 0.2)
                 )

XmR_Plot <- ggplot(Golden_Egg_df, aes(x = month, y = egg_diameter)) +
               geom_point() + geom_line() + 
               stat_QC(method = "XmR")

XmR_Plot

Installation

cran: install.package("ggQC")
github: devtools::install_github("kenithgrey/ggQC")

Overview

QC_Lines(): Output quality control chart data in table format
QC_Violations(): Check for QC Violations
stat_QC(): ggplot stat to generate control charts supported methods
stat_mR(): ggplot stat to generate mR chart.
stat_QC_labels(): ggplot stat to write text labels on control chart center line and limits.
stat_qc_violations(): ggplot stat to examine QC Violations.
30 plus functions to calculate specific control chart constants. (recommend using QC_Lines())