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XRSCC  

Statistical Quality Control Simulation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("XRSCC", "0.1")



Attach the package and use:
library("XRSCC")
Maintained by
Erick Marroquin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-11-12
Latest Update: 2016-11-12
Description:
This is a set of statistical quality control functions,that allows plotting control charts and its iterations, process capability for variable and attribute control, highlighting the xrs_gr() function, like a first iteration for variable chart, meanwhile the we_rules() function detects non random patterns in sample.
How to cite:
Erick Marroquin (2016). XRSCC: Statistical Quality Control Simulation. R package version 0.1, https://cran.r-project.org/web/packages/XRSCC
Previous versions and publish date:
No previous versions
Other packages that cited XRSCC R package
View XRSCC citation profile
Other R packages that XRSCC depends, imports, suggests or enhances
Functions, R codes and Examples using the XRSCC R package
Some associated functions: Beta.X . C_it . Cp_X . NP_it . P_it . R_it . U_it . XRSCC-package . X_it . bottles . c_gr . clothes . clothes2 . dato2 . factor.a . np_gr . p_gr . qqsugar . u_gr . udata2 . vol_sample . we_rules . xrs_gr . 
Some associated R codes: Beta.X.R . C_it.R . Cp_X.R . NP_it.R . P_it.R . R_it.R . U_it.R . X_it.R . c_gr.R . np_gr.R . p_gr.R . u_gr.R . we_rules.R . xrs_gr.R .  Full XRSCC package functions and examples
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