similar to: problems with SPC charts in R

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

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

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,

Hello, I have no experience with I-MR charts but a google search found package qcc. Maybe it's what you're looking for. Hope this helps, Rui Barradas Em 08-07-2017 09:07, Tim Smith escreveu: > Hi, > > I've had a quick look through the package list, and unless I've missed > something, I can't seem to find anything that will do I-MR / Xbar-R / > Xbar-S control

Good morning, I have some problem adding ablines in Rstudio. The lines drew by the software doesen?t match with the added values, what can I do? pfaOK<-qcc(D[!trial], sizes=size[!trial], type="p", nsigmas=2, data.name="Polli positivi al Campylobacter") pfaOK1<-qcc(D[!trial], sizes=size[!trial], type="p", data.name="Polli positivi al Campylobacter")

Hi, I've had a quick look through the package list, and unless I've missed something, I can't seem to find anything that will do I-MR / Xbar-R / Xbar-S control charts ? Assuming there is something out there, can anyone point me in the right direction ? Thanks ! TIm

I need to write a C# program to create and display Cusum chart from any of the packages, spc, qcc or strucchange. Issues: 1-The data resides in a MS SQL Database. The C# program will handle obtaining the data for the requisite types of samples. Assistance needed on: 1-How can I call the cusum capabilities of any of the above packages and pass the data to the cusum function and plot? 2-How

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:

This regards an old post that posed the question: Tom Hodgess wrote: "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 package "IQCC" (v. 1.0). The package "qAnalyst" (v. 0.6.0) provides an

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 People: I am using qcc for a quality control class. I have used qcc with type "xbar.one" for individuals but cannot determine how to plot a moving range control chart. Has anyone done that, please? Thanks, Erin -- Erin Hodgess Associate Professor Department of Computer and Mathematical Sciences University of Houston - Downtown mailto: erinm.hodgess at gmail.com

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

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))

Hola a tod@s, estoy viendo la posibilidad de utilizar R en una de mis asignaturas. En particular, estoy viendo las opciones para control de calidad y gestión de proyectos. En el primer caso, la mejor opción creo que es el paquete "qcc" mientras que para proyectos la verdad no veo la forma de solucionarlo, salvo que utilice WinProject Podrías por favor ayudarme? Gracias y saludos Justo

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 new to R. I want to graph group data using a "Traditional Bar Chart with Standard Error Bar", like the kind shown here: http://samiam.colorado.edu/~mcclella/ftep/twoGroups/twoGroupGraphs.html Is there a simple way to do this? So far, I have only figured out how to plot the bars using barplot. testdata <- scan(, list(group=0,xbar=0,se=0)) 400 0.36038 0.02154 200 0.35927

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:

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)

Hola, soy María, Estoy realizando un trabajo de control de calidad usando en R diferentes tipos de "Control charts", desde el tipo xbar.one, u, p, c,...Y al validar el cálculo de los estadísticos media y desviación típica de mis "Control Charts" en Excel, e investigando, me he dado cuenta de que R calcula las desviaciones de distinto modo según sea el tipo de control chart;

Does anyone have a copy of spc.exe they could send me? -------------- next part -------------- An HTML attachment was scrubbed... URL: http://lists.digium.com/pipermail/asterisk-users/attachments/20061117/ac0b6a44/attachment.htm