search for: variales

Hi everyone, I am trying to write a title for a plot which has a superscript like D^2 and a value of a variable stored in that variable..... i am not sure if i am clear so i will try an example: Suppose i want my title to be like: Family: Gaussian; D^2 = 0.45 where i have the value 0.45 stored in variable d2 (which comes from some previous calculations, and depending which actual variables

...deal but there are two problems. First of all, I have 10000 variables. So the possible network structure is awfully huge, I don't know how long it will take my PC to find the highest-scoring network..........maybe a month? Secondly, I have some prior knowledge that only 500 out of the 10000 variales are possible parents. In another word, only those arrows startting from the 500 variables and pointing to the remaining 99500 variables are allowed in the network. In deal an assignment to "banlist" should help me rule out the impossible arrows. But in my case the number of "impo...

Hi, I have the following data data1 <- data.frame(count = c(0,1,1,2,4,5,13,16,14), weeks = 1:9,                     treat=c(rep("1mg",3),rep("5mg",3),rep("10mg",3))) and I am using library(splines) to fit glm.m <- glm(count~bs(weeks)+as.factor(treat),family=poisson,data=data1) and I am interested in predicting the count variale for the weeks 10, 11 and

Am I correct in assuming that the output below essentially translates to "Males have a mean time that is significantly lower than Females"? Is this the correct way to interpret the fact that the coefficient is negative? Assume the variale sex is treated as a factor with Female =0 and Male=1. survmodel<-survreg(survobj~sex,data=data1, dist="weibull")

Hi, I encountered a problem when I am trying to write my own function which contains another function. To simplify a problem, I tried the following simplified function, hope someone can idenfity the problem for me. I have a simple data frame called "testdata" as following: >

Hola: Gracias de nuevo por la ayuda! La solución, como no, funciona. Pero yo quería alguna cosa más flexible y universal que le pudiera pasar como parámetro diferentes opciones de incluir i excluir variables. Si estuviera fuera de la función seria: ===================== DATOS <- data.frame(SE = c("M", "H", "M", "M", "H"),

Hi, I tried to use this new -c switch for ssh-add, which makes ssh-agent ask every time particular key is going to be used for user's permission. It seems to fail for me. When I add some key to the agent and logon to remote host, I get this message when ssh tries to authenticate the user: "Agent admitted failure to sign using the key". The key added to agent without the -c switch

...000 variables. So the possible network > >> structure is awfully huge, I don't know how long it will > >take my PC to > >> find the highest-scoring network..........maybe a month? Secondly, I > >> have some prior knowledge that only 500 out of the 10000 > >variales are > >> possible parents. In another word, only those arrows startting from > >> the 500 variables and pointing to the remaining 99500 variables are > >> allowed in the network. In deal an assignment to "banlist" should > >> help me rule out the impos...

Hi Timo, when logging out like a001 logout the imap child dies from signal 11. The back trace looks like this: Program received signal SIGSEGV, Segmentation fault. 0xb7ed4991 in strcasecmp () from /lib/tls/i686/cmov/libc.so.6 (gdb) bt #0 0xb7ed4991 in strcasecmp () from /lib/tls/i686/cmov/libc.so.6 #1 0x0806ab6c in command_unregister (name=0x815b9ab "LOGOUT") at commands.c:83 #2

Hello useRs, I have a problem at hand which I'd think is fairly common amongst groups were R is being adopted for Analytics in place of SAS. Users would like to obtain results for logistic regression in R that they have become accustomed to in SAS. Towards this end, I was able to propose the Design package in R which contains many functions to extract the various metrics that SAS reports.

All, I'm trying to create an augPred plot in the nlme library, similar to the plot on p.43 of Pinheiro & Bates (Mixed Effects Models in S and S-Plus) for their Pixel data. My data structure is the same as the example but I still get the error msg below. > comp.adj.UKV <- groupedData(adj.UKV ~ Time | Patient_no/Lisinopril, data = comp.adj.UKV.frm, order.groups = F) >

Hi, David. I have recently fixed ferret C sources and successfully compile extension with MSVC.Net The problem was that MS compiler is more stricter that GCC and require that all variables were declared before using. There was ~30 such declaration. I have fixed them all. But I am not sure that it works because tests failed with following error both on clean and patched versions. So seems that it

...(lm(y ~ x+factor(x), data)) The F-value of factor(x) is the lack of fit test, and when lineair, the p value should be <0.05 when using 0.95% significance. Bart Wensui Liu wrote: > > in statistics, is there a measure for curvature? how to detect and > quantify the curvature between 2 variales instead of using > visualization? > thank you so much! > > ______________________________________________ > R-help at r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html &...