search for: dvs

Hi, Sorry to bother you again. I would like to estimate the effect of several categorical factors (two between subjects and one within subjects) on two continuous dependent variables that probably covary, with subjects as a random effect. *I want to control for the covariance between those two DVs when estimating the effects of the categorical predictors** on those two DVs*. The thing is, i know the predictors have an effect on DV1, and i know DV2 covaries with DV1, so it would be "cheating" to simply estimate the effect of the predictors on DV2 because those effects could be indir...

...I take my DV and create the new, lagged DV by applying the function lag.it (below). It works fine. A <- data.frame(year=rep(c(1980:1984),3), group= factor(sort(rep(1:3,5))), DV=c(rnorm(15))) lag.it <- function(x) { DV <- ts(x$DV, start = x$year[1]) idx <- seq(length = length(DV)) DVs <- cbind(DV, lag(DV, -1))[idx,] out<-cbind(x, DVs[,2]) # wages[,2] names(out)[length(out)]<-"DV.lag" return(out) } A A.lagged <- do.call("rbind", by(A, A$group, lag.it)) A.lagged Now, I am trying to create the oppostive of lag for DV (should I call it &quo...

...mple(arima) fit <- arima(USAccDeaths, order = c(1,1,1),seasonal = list(order=c(1,1,1))) # use the model to generate a prediction dp<-predict(fit, n.ahead = 24) plot(dp$pred) # view the prediction Now I created a combined chart of the original and predicted values. I tried it like this: dvs <- c(as.vector(USAccDeaths),as.vector(dp$pred)) plot(dvs, type="l") Here, of course, the x axis does not display time values any more. So I manually recontructed a time series from the concatenated vector: ds<-ts(dvs, 1973, 1980.91666666667, deltat = 1/12) plot(ds) # this is the...

There is a function in the fCalendar package called xts.dvs but I m unable to see the code inside the function. Is this common with functions in the fCalendar package or maybe there is something else that I have to do first or use the colon colon command in some manner I want to see the function coee because I want to see the detials Of the algorithm used...

...of a BIOS, and will require a rework >> similar to that done in patch 2 for clocks. I would like to make sure this >> approach is approved because applying it to other subdevs. > > I think this should use CCF so we can use pre and post rate change notifiers > to hookup vdd_gpu DVS. Do you mean that we should turn the Nouveau gk20a clock driver into a consumer of this CCF clock? I have nothing against this, but note that Nouveau can also perform DVS on its own, as the pstates can also contain a voltage to be applied to the volt device (not yet implemented in this series)...

This is a simple problem that has stumped me: I'm trying to loop through a few dozen variable names in graphs. I've tried various approaches like this: attach(mydata) ivs <- c("oneiv", "anotheriv", "yetanotheriv") dvs <- c("onedv", "anotherdv", "yetanotherdv") for (iv in ivs) { for (dv in dvs) { graphname <- paste(iv, dv, ".png", sep = "") png(file=graphname, width=300, height=300) plot(dv ~ iv, pch=".") lines(loess.smooth(iv, dv), lty=1) dev.off(...

...data.frame(replicate(10, round(rnorm(100, mean=3.5, sd=1)))) var.list <- c("dv1", "dv2", "dv3", "iv1", "iv2", "iv3", "iv4", "iv5", "intv1", "intv2") names(my.df) <- var.list # I have some are DVs: dvs <- c("dv1", "dv2", "dv3") # some IVs: ivs <- c("iv1", "iv2", "iv3", "iv4", "iv5") # and some binary interaction variables: intvs <- c("intv1", "intv2") library(car) my.df[intvs] <-...

Hello all, Is there an r function that exists that will perform repeated measures MANOVAs? For example, let's say I have 3 DVs, one between-subjects IV, and one within-subjects IV. Based on the documentation for the manova command, a function like that below is not appropriate because it cannot take Error arguments. manova(cbind(DV1,DV2,DV3) ~ BetweenSubjectsIV * WithinSubjectsIV + Error(SubjNum/WithinSubjectsIV), data=da...

Hi All, I would like to be able to mount a SMB NT Share on a NT4.0 network. I am currently trying to run the following command : mount -t smbfs -o username=lloydl,password=Fiver //(Server IPaddress)/(share) /mnt/dvs/ITVSERVER And I get : 2622: session request to 192.168.36.6 failed (called name no present) 2622: session request to 192 failed (called name not present) 2622: session setup failed: ERRDOS - ERRnoaccess (access denied) SMB connection failed Thanks Lloyd -------------- next part -------------- HT...

...ire a rework > >> similar to that done in patch 2 for clocks. I would like to make sure this > >> approach is approved because applying it to other subdevs. > > > > I think this should use CCF so we can use pre and post rate change notifiers > > to hookup vdd_gpu DVS. > > Do you mean that we should turn the Nouveau gk20a clock driver into a > consumer of this CCF clock? I have nothing against this, but note that > Nouveau can also perform DVS on its own, as the pstates can also contain > a voltage to be applied to the volt device (not yet imp...

...way to print out the kernel command line. I am trying to create a bootable Iomega Zip disk using an internal Zip drive. After some experimenting, I managed to boot off the disk but am getting stuck at what is probably the last step. Thanks in advance. CheeChun syslinux.cfg ============ DEFAULT dvs PROMPT 1 LABEL dvs KERNEL vmlinuz APPEND initrd=dvzip1.img root=/dev/ram ramdisk_size=8192 Software version ================ syslinux version 1.66 kernel 2.2-15 (Re...

...effect model and wondering if anyone knows about or works on the linear mixed effect model with ordered logit or probit link. I found that the "lmer" function in R is very flexible and supports various models, but not ordered logit/probit models. I may conduct my analysis by turning my DVs into nested dichotonomies, but just wonder if there is anyway that I can do this without transforming my DVs. Any help or suggestion will be greatly appreciated. Thanks, Byoung-Inn Byoung-Inn Bai Ph.D. Candidate University of Washington Department of Political Science Box 353530 e-mail: bbi6...

I'm trying to fit a model to solve a biological problem. There are multiple independent variables, and also there are multiple responses. Each response is a function of all the independent variables, plus a set of parameters. All the responses depend on the same variables and parameters - just the form of the function changes to define each seperate response. Any ideas how I can fit

...en. I have a two questions: (1) Some sources say robust regression take care of both lack of normal distribution and heteroscedasticity, while others say only of normal distribution. What is true? (2) Are there ways of using robust regressions with ordered data, or is that only possible for metric DVs? Thanks Torvon [[alternative HTML version deleted]]

...When I open the bittorent folder and click on the iso image "CentOS-5.4-x86_64-bin-DVD.iso" then I am prompted to open the image with "CD/DVD Creator". When I do this then I get a new window opened with the image file in the lower portion and an entry at the top labelled: CD/DVS Creator Folder and a button labled "Write to Disc" When I click on write to disc I am prompted to either create from image or create from file. I select image and am propted for the speed. I select maximum possible (the default) and press the write button. I get this error: Insert a...

...twork in my Network Neighborhood. Any suggestions or advice will be appreciated. Cheers! -- Shawn ====================================//====================================== Shawn A. Clifford // Title: Senior Systems Analyst Digital Video Systems // Email: sac@dvs.nuphase.com 2800 Biscayne Blvd., 10th Floor // Web: http://www.dvs.nuphase.com/~sac/ Miami, FL 33137 // Work: 305-576-3103 Fax: 305-576-1445 ===============================//=========================================== PGP public key available by finger --...

...1 10 151.66 116 0 I want to calculate the percentile of each CONC within ID=i and add as a column "Percentile". I got some help from R-tutorial on percentile but I am not able loop the function to calculate percentile/individual. So, I want the calculation to include only the ID=1 DVs to calculate the pecentile of conc=116. I truly appreciate your help. Regards, Ayyappa [[alternative HTML version deleted]]

...a BigMemory y no me quedan claro algunas cosas, le planteo mi problema, tengo un matriz en disco que pesa 2gb con coeficientes float´s, solo numeros, y tengo que hallar la descomposicion en valores singulares de esta matriz, basicamente la pregunta seria: como hacer para leer la matriz, calcular su DVS y como escribirla en disco? muchas gracias. [[alternative HTML version deleted]]

...another. For example: DV1~ DV2 + IV1+IV2+ Controls and DV2~ DV1 + IV1+ IV2+ Controls (where IV stands for independent variable, not instrumental). My current code looks like: glm(DV1~ IV1+ Control1+ Control2+ DV4+ DV5+ DV6, family="binomial", data= data) which I repeat for each of the 6 DVs. I realize that I need to run a series of simultaneous equation models, but I am not having much luck figuring out how to run an SEM with binary data in R. The zelig package used to have a bivariate logit command, but zelig does not work with the most current version of R. Additionally, I would r...

...use the ?coefficient? for the straight line that passes the data ? Example from help: library(multilevel) data(univbct) #a data set already in univariate or stacked form for job satisfaction TEMP<-univbct[3*1:495,c(22,1:17)] #converting it back to multivariate form TEMP2<-make.univ(x=TEMP,dvs=TEMP[,c(10,13,16)]) #transforming it to univariate form again xyplot(MULTDV~TIME|as.factor(SUBNUM),data=TEMP2,type=c("p","r","g"),col="blue",col.line="black",xlab="Time",ylab="SAT") # taken from Bliese Paul ? Multilevel Modelin...