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

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

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

• 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())

For more Information and Examples using ggQC, visit (ggQC.r-bar.net)