similar to: plotting moving range control chart with qcc. . .

I have been having the same problem as poster Hodgess, below. It appears that her question was never answered, so I would like to share a solution with the community. The problem is the (apparent?) inability to produce moving range process behavior (a.k.a. "control") charts with individuals data in the package "qcc" (v. 2.0). I have also struggled with the same limitation in

On 11 Feb 2010, at 06:53, Vikrant Shimpi wrote: > Dear Luka , > I am using qcc package in R to plot SPC charts. BUt while plotting > R chart I had a error. My question is it necessary while plotting > R Chart the group sample size must be < 25 ?. Because when I took > group sample size as 1000 it gave me error, till I took group sample > size as 26, But as sooon as

Dear R-users, I'm encoutering some problems with the qcc()-function. When there are more than 25 replicates per "sample" the estimate for the standard deviation becomes NA, implying that nothing is plotted (error message: "Error in plot.window(...) : need finite 'ylim' values") On the forum I found a way to work around the error message, but this does not

Hi, I am working with QCC and would like help with the following: a) Change the color of the background. I tried bg="#FFFFFF" in par and also in qcc and it did not work. b) I want to remove the X Axis Text (i.e. 1, 2, 3 ... n) -- but xaxt="n" does not work in qcc. Thanks -- View this message in context:

For some reason, using the qcc package, I'm unable to use the plotmath notation in the title. Can anyone see what I'm doing wrong? library(qcc) a <- rnorm(100) qcc(a,type="xbar.one",title=expression(bar(X)),ylab=expression(CFU/ft^3) ) This seems to not let the expression be evaluated, so I tried:

Hi Gents, I need to get the control limits from qcc function. As follows: qcc(MDI, type = "xbar.one") Call: qcc(data = MDI, type = "xbar.one") xbar.one chart for MDI Summary of group statistics: Min. 1st Qu. Median Mean 3rd Qu. Max. 0.3266 0.4249 0.4371 0.4333 0.4451 0.4858 Group sample size: 1 Number of groups: 383 Center

Hola colegas, por favor si me indican que estoy haciendo mal. Estoy tratando de usar el paquete QCC y colocar mas de gráfico de control en una sola ventana usando función "par" con "qcc" para presentar varios gráficos en la misma ventana. He probado pero no funciona, solo muestra un gráfico miren el código # set unequal sample sizes n <- c(rep(50,5), rep(100,5), rep(25, 5))

Hello R Experts, I started to work with the qcc package and it wprks quite nicely. Heres My Code: n <- c(55,5,94,25,10,15,15,40,44,34,90,114,204,37,30,28,12,68,64,29,24,14,31,16,62,45,55,20,24,14,9,19,76,57,55,42,6, 54,32,117,19,32,9,11,13,31,27,33,44,28) x <- c(6,0,30,5,2,1,4,5,2,9,12,24,64,3,9,21,9,48,15,4,3,0,1,0,6, 7,2,0,3,2,0,5,1,2,6,9,1,6,2,0,1,4,8,0,1,1,3,0,0,0)

Greets, My data looks like: > p3.18 s xbar subgroup 1 0.84 12.2 1 2 1.64 11.2 2 3 2.07 10.6 3 4 2.49 12.2 4 5 0.84 11.2 5 ... Using the command > qcc(p3.18$xbar,type="xbar",sizes=5,center=mean(p3.18$xbar),std.dev=mean(p3.18$s)/0.94,title="X-bar Chart for Paper Sheet Length Data") I get the x-bar chart I expect. However,

Hi All, I installed qcc package and the dependency packages. For the first time I can use the function : process.capability.sixpack(). But later when ran the code again I always got the following error: Error: could not find function "process.capability.sixpack". I tried reinstalling the qcc package but didn't help. Does anyone have this kind of experience? Thank you! Regards, Yan

Dear R Community: I am working on a public health early warning system, and I see that the qcc package allows for CUSUM and other statistical quality tests but I am not sure if my project is a good match for qcc functions as written. Any advice you may have is very much appreciated. I have four years worth of daily counts of emergency room admissions for different conditions (e.g. respiratory,

Hi, I've been searching for a solution to this but have come up empty. I would like to suppress the plot creation when using the ewma function in the qcc package. Normally it's just plot = FALSE, but the ewma function doesn't have this option. Anything I'm missing or a work around? Many thanks, Brian Francis Statistician II Charles River Laboratories

Hi, Is there a way to plot more than one trend surface using the functions contourplot() and wireframe(). I have found an add=T in contour(), but no equivalent argument in contourplot() and wireframe()? I have taken the example 11-2 (pages 441-451) from Design and analysis of experiments (Montgomery 2001, 5th edition) to see if this could be done in R. I have managed to plot individual

Package: xen-utils-common Version: 4.4.1-5 Severity: important Dear Maintainer, I tried to upgrade xen-utils-4.4 depending on xen-utils-common. Here is aptitude answer: ... Param?trage de xen-utils-common (4.4.1-5) ... insserv: Service xenstored has to be enabled to start service xendomains insserv: Service xenconsoled has to be enabled to start service xendomains insserv: exiting now!

Hello all, I've tried to reproduce the contour plot that appears in the book of Venables and Ripley, at page 255. Is a F-statistic surface and a confidence region for the regression parameters of a non-linear model. It uses the stormer data that are in the MASS package. I haven't been able to reproduce the plot either in R ( version 1.5 ) and S. It makes the axes and it puts the

violating.runs I read from the news cran.r-project.org/doc/Rnews/Rnews_2004-1.pdf that the criteria for the violating is 5 but 1)I cannot find "5" in the code of the function. Where is the "5" ? 2)What is the easiest way to change it ? 3)Is there any more criterias made somewhere ? Yours sincerelly, Tommi Viitanen

Hi All, Already searched the net for a solution, but couldn't find one. The piston ring example works fine on my XP laptop and R installation. However, using the dataset enclosed (I've also enclosed the script file used) only type="S" works and both "R" and "xbar" don't. Entering ylim works better but still control limits are not calculated.

Hi all, I have made an overdispersion test for a data set and get the following result Overdispersion test Obs.Var/Theor.Var Statistic p-value poisson data 16.24267 47444.85 0 after deleting the outliers from the data set I get the following result Overdispersion test Obs.Var/Theor.Var Statistic p-value poisson data 16.27106 0 1 The

Estimado Martín, Prueba a usar el parámetro ?restore.par = FALSE? a la hora de imprimir. Ejemplo reproducible en el código de mi libro ?Quality Control with R?: http://qualitycontrolwithr.com/chapters.html <http://qualitycontrolwithr.com/chapters.html> (Descarga el código del capítulo 9) Un saludo, Emilio > > > Asuntos del día: > > 1. qcc con par (Martin Vidalon)

I am developing a package that imports some functions from another package. The imported package (qcc) does not have a namespace and this is causing problems with loading of my package, which has a namespace. Is there a workaround to allow loading the namespace-less package? I searched the archives and found a suggestion that the package should be included in the Depends list, but this has not