similar to: CRAN I-MR / Xbar-R / Xbar-S control chart package ?

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

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,

Hi all, I am using SPC techniques of plotting Xbar, R, S, P and C charts in R.For this I am using qcc package in R and also using the following document for reference. http://www.stat.unipg.it/~luca/Rnews_2004-1-pag11-17.pdf But while plotting S chart, R chartchart and also C chart I am getting following errors. I have plotted the Xbar chart successfully using following command obj <-

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

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

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:

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

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;

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")

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

I''m just getting started with GD2 and have successfully made a few dynamic PNGs. I need to make some fairly detailed line graphs on the fly and I know that GD2 is capable of what I want but I strongly suspect I''m reinventing the wheel badly. Are there gems or other projects that help creating complex charts? I''ve used GDChart in the distant past but I

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:

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

Hello everyone, I want to calculate type I error rate for modified F statistic for one way robust anova. I need to find the j group trimmed mean and winsorized sum of squared deviations. Here I attached my code for j=2 to make it simple. Originally I have j=4. Hope you can help. I need to run it for 1000 times My problem is: i) the value of F-test obtain from my simulation below is in negative

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

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 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))

Hi, there I'm trying to plot what is returned from a call to tapply, and can't figure out how to do it. My guess is that it has something to do with the inclusion of row names when you ask for the values you're interested in, but if anyone has any ideas on how to get it to work, that would be stellar. Here's some example code: y1<-rnorm(40, 2) x1<-rep(1:2, each=20)