Generate XMR Control Chart Data from Time-Series Data

XMRs combine X-Bar control charts and Moving Range control charts. These functions also will recalculate the reference lines when significant change has occurred.


Overview

xmrr is a package designed to generate and visualize control charts from time-series data.

Installation

For the development version:

devtools::install_github("zanidean/xmrr")

For the official CRAN version:

install.packages("xmrr")

Usage

XMRS have two key asssumptions:

  • Measurements of value happen over sequential time.

  • Each unit of time has only one measurement of value.

This snippet shows the basic syntax:

Year <- seq(2001, 2009, 1)
Measure <-  runif(length(Year))
 
df <- data.frame(Year, Measure)
 
xmr(df, "Measure", recalc = T)
 

For information about errors and problems, check the [problems and solutions file.](file:///Q:/StrategicResearch/Rules%20and%20Procedures%20Folder/Checklists%20and%20procedures/Procedure%20Manual/Data%20Analysis/Pages/issues.html#xmrr)

News

xmrr 1.0.36

  • Added a NEWS.md file to track changes to the package.

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("xmrr")

1.0.36 by Alex Zanidean, 9 months ago


Report a bug at https://github.com/Zanidean/xmrr/issues


Browse source code at https://github.com/cran/xmrr


Authors: Alex Zanidean [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports dplyr, tidyr, ggplot2

Suggests testthat, knitr, rmarkdown


See at CRAN