Links[{"label":"shewhartr.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/shewhartr/refman/shewhartr.html"},{"label":"shewhartr.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/shewhartr/shewhartr.pdf"},{"label":"ARL by Monte Carlo simulation","section":"","type":"","url":"https://cran.r-project.org/web/packages/shewhartr/vignettes/arl-simulation.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/shewhartr/vignettes/arl-simulation.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/shewhartr/vignettes/arl-simulation.R"},{"label":"Attributes charts: p, np, c, u","section":"","type":"","url":"https://cran.r-project.org/web/packages/shewhartr/vignettes/attributes-charts.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/shewhartr/vignettes/attributes-charts.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/shewhartr/vignettes/attributes-charts.R"},{"label":"Choosing a transformation: Box-Cox in practice","section":"","type":"","url":"https://cran.r-project.org/web/packages/shewhartr/vignettes/box-cox.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/shewhartr/vignettes/box-cox.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/shewhartr/vignettes/box-cox.R"},{"label":"Case study: epidemiological monitoring (COVID-19, Recife)","section":"","type":"","url":"https://cran.r-project.org/web/packages/shewhartr/vignettes/covid-recife.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/shewhartr/vignettes/covid-recife.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/shewhartr/vignettes/covid-recife.R"},{"label":"Residual diagnostics, Tukey style","section":"","type":"","url":"https://cran.r-project.org/web/packages/shewhartr/vignettes/diagnostics.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/shewhartr/vignettes/diagnostics.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/shewhartr/vignettes/diagnostics.R"},{"label":"Getting started with shewhartr","section":"","type":"","url":"https://cran.r-project.org/web/packages/shewhartr/vignettes/getting-started.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/shewhartr/vignettes/getting-started.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/shewhartr/vignettes/getting-started.R"}]
TextReference manual: shewhartr.html , shewhartr.pdf Vignettes: ARL by Monte Carlo simulation ( source , R code ) Attributes charts: p, np, c, u ( source , R code ) Choosing a transformation: Box-Cox in practice ( source , R code ) Case study: epidemiological monitoring (COVID-19, Recife) ( source , R code ) Residual diagnostics, Tukey style ( source , R code ) Getting started with shewhartr ( source , R code ) Memory-based charts: EWMA and CUSUM ( source , R code ) Multivariate charts: Hotelling T² ( source , R code ) Phase I and Phase II ( source , R code ) Regression-based control charts ( source , R code ) Variables charts: I-MR, Xbar-R, Xbar-S ( source , R code )