A run chart is a simple analytical tool that helps us understand changes in data over time. - NHS Healthcare Improvement Scotland.
A number of R packages exist to automate statistical process control charts. For example:
runchart package is different from the above because it focusses solely on run charts and provides the ability to automatically rephase baselines. The package exports a single easy to use function
By default - shifts and trends are displayed (triggering at 6 and 5 consecutive points respectively) and the baseline is not rephased:
library(runchart) library(ggplot2) df <- data.frame(date = seq.Date(Sys.Date(), by = "day", length.out = 30), value = c(4,3,3,2,2,3,3,4,4,4,4,3,3,2,2,1,2,1,0,3,3,4,5,6,7,9,8,7,6,6)) runchart(df)
Both shifts and trends can be independantly suppressed. The baseline can be rephased (triggering at 9 consecutive points):
runchart(df, shift = FALSE, trend = FALSE, rephase = TRUE)
Access the fields behind these plots by setting the output parameter to
head(runchart(df, output = 'df')) #> date base value shift #> 1 2018-11-03 3 4 NA #> 2 2018-11-04 3 3 NA #> 3 2018-11-05 3 3 NA #> 4 2018-11-06 3 2 NA #> 5 2018-11-07 3 2 NA #> 6 2018-11-08 3 3 NA
This package is available for download from GitHub:
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