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
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())
More Examples
For more Information and Examples using ggQC, visit (rcontrolcharts.com)