search for: cummulative

...anyone pin point me at any information that would help me accomplish this in R? Packages? Books? Information about categorical data analysis with R seems to be poor in the Internet. Thank you very much on advance JT -- View this message in context: http://r.789695.n4.nabble.com/Repeated-measures-cummulative-logit-mixed-model-tp3746845p3746845.html Sent from the R help mailing list archive at Nabble.com.

Hi all: How can I calculate the cumulative variance (or variance for each component) in correspondence analysis? If were possible in ADE4 package Thank you -- Antonio Punzón Merino O__---- Instituto Español de Oceanografía c/ /'_ --- Centro Oceanográfico de Santander (*) \(*) -- Promontorio de San Martín S/N ~~~~~~~~~~ 39004-Santander; Spain PO BOX: 240 Tlf: +34 942 29 10 60 Fax: +34

Hi, Is the array mstats returned by virDomainMemoryStats call cummulative or snapshot of the counter at that particular time ? I was of the opinion that is cummulative like the /proc counters but this counter seems to go backwards ie next snapshot value is less than the current one which makes me think these are snapshot values . I'm using RHEL 6.3 libvirt version 0...

I have the following list of observations of calendar time: [1] 03-Nov-1997 09-Oct-1991 27-Aug-1992 01-Jul-1994 19-Jan-1990 12-Nov-1993 [7] 08-Oct-1993 10-Nov-1982 08-Dec-1986 23-Dec-1987 02-Aug-1995 20-Oct-1998 [13] 29-Apr-1991 16-Mar-1994 20-May-1991 28-Dec-1987 14-Jul-1999 27-Nov-1998 [19] 09-Sep-1999 26-Aug-1999 20-Jun-1997 05-May-1995 26-Mar-1998 15-Aug-1994 [25] 24-Jun-1996 02-Oct-1996

...ut you get the idea). Thanks! /Johan ** With Dahdi 2.7.0.1, and core timers: 99.998% 99.611% 99.615% 99.997% 99.993% 99.997% 99.996% 99.608% 99.999% 99.612% 99.607% 99.613% 99.999% 99.998% 99.994% 99.609% --- Results after 177 passes --- Best: 100.000% -- Worst: 99.604% -- Average: 99.901099% Cummulative Accuracy (not per pass): 99.998 ** With Dahdi 2.7.0.1, and dahdi_dummy loaded: 99.993% 99.998% 99.998% 99.993% 99.996% 99.998% 99.996% 99.998% 99.998% 99.997% 99.999% 99.998% 99.996% 99.998% 99.999% 99.997% --- Results after 177 passes --- Best: 100.000% -- Worst: 99.993% -- Average: 99.997738%...

...ts i get starting problems and it would be nice get some tips/tricks from experienced tcl/tk user in R ! tt <- tktoplevel() label.widget <- tklabel(tt,text="Decision Tree GUI") button.widget <- tkbutton(tt,text="Select SPSSFile", command=function() read.spss("C:/Cummulative/data/wekaSpecial.sav", use.value.label=T,to.data.frame=T)) tkpack(label.widget,button.widget) tkdestroy(tt)) ....how i have to use command=function() that this works like cat command ( i get no error message but nothing happen),or better how can i replace it with tkgetOpenFile and do than...

OK, so maybe last night was a little too much at one throw, so I have reduced the data to two stations- one that has precipitation and one that does not. This is going to be in the context of a larger data set. I would like to be able to issue a ggplot command and have cum sum just act on the facets (factors) to apply this. library(chron) library(ggplot2) DF <- structure(list(date_time =

If some can help to find under wich package can i find the commando's wich i schould to use to work with the empirical cummulative (ecdf) distribution and also the QQplot. Zmarrou Hicham Univesity of Amsterdam -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscri...

...at it : mdeaths # the ts object has a matrix like "appearance" # The only way of doing it I've found is: mdeaths2<-as.matrix(mdeaths) dim(mdeaths2)<-c(12,6) mdeaths2<-apply(mdeaths2,2,cumsum) mdeaths[]<-mdeaths2 # It is not very efficient to solve the problem of applying a cummulative sum to each year ### Second, for a multivariate ts: data(UKLungDeaths) Multits<-ts.union(mdeaths, fdeaths) # Why does Multits$mdeaths # not work and I have to use: Multits[,"mdeaths"] # Is it the way it works or am I missing something? # Thanks as always, # Angel

I am working with a raster and want to take values assigned to each cell and sort them from largest to smallest, then cummulatively sum them together (in order from largest to smallest). I'll then be coding the individual cells such that the top 10% of the largest cell values can be visualize with one color, the next 10% with another and so on. I have tried a number of schemes but am having trouble figuring out...

Hello, I found a couple bugs concerning my favourite Shade/Unshade function. 1) Sometimes the shaded window gets more space than it should and, of course, nobody takes care about it, so everything drawn on this space remains here. If I move a decorated window along, its shadow cummulates quickly to full black here. Unfortunately, I don't know any reliable way how to reproduce this. (But it

Hello, I am searching for an R-Package that does an exentsion of the Mantel-Haenszel test for ordinal data as described in Liu and Agresti (1996) "A Mantel-Haenszel type inference for cummulative odds ratios". in Biometrics. I see packages such as Epi that perform it for binary data and derives a varaince for it using the Robbins and Breslow variance method. As well as another pacakge that derives it for nominal variables but does not provide a variance or confidence limit. Does a pa...

Hello everybody, does anybody know how the function plot.survfit exactly works? I'd like to plot the log of the cummulative hazard against the log time by using plot.survfit(...fun="cloglog") which does not work correctly. The scales are wrong and there is an error message about infinit numbers. It must have something to do with the censored data, doesn't it? #Example: motorette <- read.table("...

Hello, I am interested in using Morans I for different time intervals to detect disease clusters. Ultimately I would like to use CUSUM - or similar monitoring statistic to monitor the results of Morans I - similar to the work by Rogerson (2005) Spatial Surveillance and Cummulative Sum Methods in Spatial and Syndromic Surveillance for Public Health. Thus far - thanks to the list I have Morans I running in a loop for each day (however I found that on some days no data is recorded, this caused an error to get around this error I included an elseif statement to skip the calcul...

...others. I would like to split the plot somehow so that the bottom part shows ylim=c(0,200) and the top shows ylim=c(450,550). Is this possible? What I have so far is: library(lattice) xyplot(m.dp.area$Area.km2 ~ m.dp.area$DataPoint, m.dp.area, groups = m.dp.area$Manta, main = "Cummulative area of 100% MCP", xlab = "Data Point", ylab = "MCP Area", ylim = c(0,150), scales = list(tck = c(1, 0)), #Removes tics on top and r-axis pch=19,cex=.4, auto.key = list(title = "Mantas", x = .05, y=.95, corner = c(0,...

...else{ #precipitation qplot(as.POSIXct(date_time), precipitation, data=subset(DF, precipitation!="NA"), geom="line")+facet_wrap(~gauge_name, scales="free_y") } } USGS("precip") I would like to have the cumsum based on the facet gauge_name - in other words a cummulative rainfall amount for each gauge_name -- Stephen Sefick Let's not spend our time and resources thinking about things that are so little or so large that all they really do for us is puff us up and make us feel like gods. We are mammals, and have not exhausted the annoying little problems of b...

Hi all I am using asterisk 11.24.1 on a centos 5 machine. kernel 2.6.18 flavor. (x86_64). I have about SIP 150 endpoints on it. when I send a message I'm getting garbled audio. I used to have a single PRI card in the box - but something happened and that connection no longer worked. I removed the card and also removed the system.conf and chan_dahdi entries. I am using ConfBridge in a PA

Dear Friends, I want to know if any one could give me help on this. Suppose you want to simulate the p-value of a test statistic but you do not know how the distribution of the test statistic, how can one simulate the p-value. It will be helpful to get an example code in R on this Respectfully Submitted, Clement

Dear all! I tried to fit Gompertz growth models to describe cummulative germination rates using nls. I used the following code: germ.model<-nls(percent.germ~a*exp(-b*exp(-k*day)),data=tab,start=list(a=100,b=10,k=0.5)) My problem is that I want that the fitted model goes through the origin, since germination cannot start before the experiment was started, and y-max...

Hi, I have two variables ranging both from 0 to 1 (n=500 each). Now I am interested in plotting them both in one plot (using ggplot2). So far I used ecdf() (from an example I found with google) to get values for the cumulatice distribution function which gives a relative curve. I also want to do the same plot but using absolute cumulative values instead of relative. Can that be done with ecdf or