similar to: suppress plot w/ ewma function from qcc pkg

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,

Hello, I would like to use the Exponential Weighted Moving Average procedure to get the variance. Is there any R function for doing this? Many thanks. -- View this message in context: http://www.nabble.com/EWMA-procedure-to-forecast-variance-tf4018317.html#a11412324 Sent from the R help mailing list archive at Nabble.com.

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-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))

dear R-helper, I tried to find out a package in which i can have penalized maximum likelihood estimator applying on generalized extreme value distribution with beta function) but could not. would you please help me to know the name of the package. thanks for your help. S.Murshed --- r-help-request at stat.math.ethz.ch wrote: > Send R-help mailing list submissions to > r-help at

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)

hi, Could anyone help me in solving the following error: I have 5 stocks returns data (returns) EWMA = matrix(nrow=T,ncol=5) # create a matrix to hold the covariance matrix for each t lambda = 0.94 S<-cov(returns) # initial (t=1) covariance matrix EWMA[1,] = c(S)[c(1,4,2)] ---ERROR # extract the variances and covariancefor (i in 2:T) { # loop

I have the ewma function as shown below. I think I copied it from an oldSplus help page on filter and then modified it with a lot of help from Achim. ewma<-function(x,lambda = 1, init = x[1]) { rval<-filter(lambda*coredata(x),filter=(1-lambda),method="recursive",ini t=init) rval<-zoo(coredata(rval),index(x)) rval } It sort of works but , if there are NA values in the input

Dear R People: Hello again. I'm trying to have 3 graphics windows visible simultaneously. I set up a zoo series. Then I plot the original series. I use the locator function to select 2 values from the original series, which generates a subset of the original series. Next, I plot the subset. The last step is to produce an EWMA chart from the subset series. Fair enough. I've tried

Hello, I would like to use the function EWMA() in the fMultivar Package and I have a series of data x, which is the returns series. Basically, I would like to get the variance estimation using EWMA. I am trying something like EWMA(x, lambda) and I have a couple of questions: Should x be the returns series or price series in my case? When I get the result, there are the same numbers of data

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

To ensure ewma_read() without a lock returns a valid but possibly out of date average, modify ewma_add() by using ACCESS_ONCE to prevent intermediate wrong values from being written to avg->internal. Suggested-by: Eric Dumazet <eric.dumazet at gmail.com> Signed-off-by: Michael Dalton <mwdalton at google.com> --- lib/average.c | 6 ++++-- 1 file changed, 4 insertions(+), 2

I am attempting to run a Poisson EWMA model using Patrick Brandt's source code. I get the following error when I run the code: Error in dimnames(x) <- dn : length of 'dimnames' [1] not equal to array extent Dimnames(x) looks like this: [[1]] NULL [[2]] [1] "mip" "div" "nom" "unity" "mood"

Dear R People: Now I have a function with 3 graphics windows. I'd like for them all to be visible. However, the first window goes blank. Here is the basic setup. The first plot is the entire series. The user selects two points, which in turns generates a subset plot and an EWMA subset plot. Finally, if things worked right, the user should be able to click on "Tile Vertically"