Hello everybody!
I am trying to apply qcc function to time series data.
There is an example from documentation:
###
library(qcc)
data(pistonrings)
attach(pistonrings)
diameter <- qcc.groups(diameter, sample)
qcc(diameter[1:25,], type="xbar")
detach(pistonrings)
###
So, we have 5 iteams at each row -> sample size =5
But what should I do if I have just a one dimensional time series data?
###
out.m <- aggregate(pistonrings$diameter, list(sample = pistonrings$sample),
FUN="mean")
qcc(out.m$x, type="xbar") - Error: group sizes must be larger than one
###
Probably in this case samples are a consecutive subsets of the data but
they are not grouped as in an example.
I would like to apply qcc() like rollapply(....width = sample_size, by =
step) in such a way that 'width' would stands for a samples taken from an
input data.
Thank you in advance !
--
Kind regards, Alexandr
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
