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Rspc  

Nelson Rules for Control Charts
View on CRAN: Click here


Download and install Rspc package within the R console
Install from CRAN:
install.packages("Rspc")

Install from Github:
library("remotes")
install_github("cran/Rspc")

Install by package version:
library("remotes")
install_version("Rspc", "1.2.2")



Attach the package and use:
library("Rspc")
Maintained by
Stanislav Matousek (MSD)
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-07-30
Latest Update: 2018-07-30
Description:
Implementation of Nelson rules for control charts in 'R'. The 'Rspc' implements some Statistical Process Control methods, namely Levey-Jennings type of I (individuals) chart, Shewhart C (count) chart and Nelson rules (as described in Montgomery, D. C. (2013) Introduction to statistical quality control. Hoboken, NJ: Wiley.). Typical workflow is taking the time series, specify the control limits, and list of Nelson rules you want to evaluate. There are several options how to modify the rules (one sided limits, numerical parameters of rules, etc.). Package is also capable of calculating the control limits from the data (so far only for i-chart and c-chart are implemented).
How to cite:
Stanislav Matousek (MSD) (2018). Rspc: Nelson Rules for Control Charts. R package version 1.2.2, https://cran.r-project.org/web/packages/Rspc. Accessed 28 Jan. 2025.
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Other R packages that Rspc depends, imports, suggests or enhances
Complete documentation for Rspc
Functions, R codes and Examples using the Rspc R package
Some associated functions: CalculateLimits . CalculateZoneBorders . EvaluateRules . NelsonRules . Rule1 . Rule2 . Rule3 . Rule4 . Rule5 . Rule6 . Rule7 . Rule8 . SetParameters . 
Some associated R codes: SPC.R .  Full Rspc package functions and examples
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