Rchart {SSDforR} | R Documentation |
SPC R-chart using mean range
Description
The R-Chart is designed to detect changes in variation over time. This is one of two forms of the R-chart and should be used with small samples. This function uses the mean range of samples to track variation.
Usage
Rchart(behavior, groupX, bandX, ABxlab, ABylab, ABmain)
Arguments
behavior |
behavior variable |
groupX |
grouping variables (e.g., day) |
bandX |
number of standard deviations desired (e.g., 2) |
ABxlab |
x-axis label in quotation marks (e.g., "weeks") |
ABylab |
y-axis label in quotation marks (e.g., "amount") |
ABmain |
main title for graph in quotation marks (e.g., "Problem Range") |
Author(s)
Charles Auerbach, PhD Wurzweiler School of Social Work Wendy Zeitlin, PhD Montclair State University
References
Auerbach, Charles, and Zeitlin Wendy. SSD for R: An R Package for Analyzing Single-Subject Data. Oxford University Press, 2014. p73-74, p136, p106-107, p138-139
Orme, J. & Cox, M.E. (2001). Analyzing single-subject design data using statistical proces control charts. Social Work Research, 25(2), 115-127.
Go to www.ssdanalysis.com for more information.
Examples
admit<-c(85,90,80,84,82,79,75,76,80,84,75,80,79,83,88,78,80,85,83,
82,89,84,89,91,87,84,77,86,80,
89,81,86,88,83,86,90,86,85,85,87,80,89,
NA,86,87,88,89,79,73,75,74,70,75,81,85,75,73,75,
79,70,72,71,69,70,64,60,59,54,53,55,50,54,51,
49,48,50,46,55,51,55,49,50,48,51,33)
day<-c(1,1,1,1,1,1,1,2,2,2,2,2,2,2,3,3,3,3,3,3,3,4,4,4,4,4,4,4,5,
5,5,5,5,5,5,6,6,6,6,6,6,6,NA,7,7,7,7,7,7,7,8,8,8,8,8,8,8,9,
9,9,9,9,9,9,10,10,10,10,10,10,10,11,11,11,11,11,11,
11,12,12,12,12,12,12,12)
padmit<-c("A","A","A","A","A","A","A","A","A",
"A","A","A","A","A","A","A",
"A","A","A","A","A","A","A","A","A","A","A","A","A","A","A","A",
"A","A","A","A","A","A","A","A","A","A",
NA,"B","B","B","B","B","B","B","B",
"B","B","B","B","B","B","B","B","B","B",
"B","B","B","B","B","B",
"B","B","B","B","B","B","B","B","B","B",
"B","B","B","B","B","B","B","B")
Rchart(admit, day, 2, "week", "amount", "Admits to Hospital")