similar to: Plotting groupedData objects

dear all, can anybody tell me, how to backup my data on samba?do you have a script for backup incremental? i don't understand to user rsync thank you Cyd ____________________________________________________________________________________ Sucker-punch spam with award-winning protection. Try the free Yahoo! Mail Beta. http://advision.webevents.yahoo.com/mailbeta/features_spam.html

I am interested in R functions for the following integrals / sums (expressed best I can in text) - Normal: G_u(k) = Integration_{Lower limit=k}^{Upper limit=infinity} [(u -k) f(u) d(u)], where where u is N(0,1), and f(u) is the density function. Poisson: G(lambda,k) = Sum_{Lower limit=k}^{Upper limit=infinity} [(x-k) p(x, lambda)] where P(x,lambda) is the Poisson prob function with parameter

Hi List; [incoming] include => parkedcalls exten=103,1,Dial(SIP/Bob,,tT) exten=104,1,Dial(SIP/Charlie,,tT) When we use tT and when we use t alone or T alone, I know this for call parking, but I do not know what the tT does? Regards Bilal ____________________________________________________________________________________ Sucker-punch spam with award-winning protection. Try the free

I have a set of character strings like below: > data3[1] [1] "CB01_0171_03-27-2002-(Sample 26609)-(126)" > I am trying to extract the text 03-27-2002 and convert this into a date for the same record. I keep looking at the grep function, however I cannot quite get it to work. grep("\d\d-\d\d-\d\d\d\d",data3[1],perl=TRUE,value=TRUE) Any hints?

Dear listers, I am trying to fit a model using nlsList() using alternately a SSfol() selfstart function or its developped equivalent formulae. This preliminary trial works well mydata<-groupedData(Conc~Tps|Organ,data=mydata) mymod1<-nls(Conc~SSfol(Dose,Tps,lKe,lKa,lCl),data=mydata) as well as a developped form: mymod2<-nls(Conc~Dose * exp(lKe+lKa-lCl) *

As suggested in "max upload size?" http://www.mail-archive.com/mongrel-users at rubyforge.org/msg02325.html I created a plugin that disconnects (raises an error which terminates the socket) if the specified content-length is higher than 200 MB (by default). I don''t know the behaviour if the specified content length is different than the actual uploaded data or if no

Hi all, according to http://sip.fontventa.com/content/view/15/44/ i have compiled the mpeg4ip libries without problem. After copying the app_mp4.c file into de Asterisk apps directory and changing the Makefile like. [...] app_sql_odbc.so: app_sql_odbc.o $(CC) $(SOLINK) -o $@ ${CYGSOLINK} $< ${CYGSOLIB} -lodbc app_mp4.so : app_mp4.o $(CC) $(SOLINK) -o $@ ${CYGSOLINK} $<

Hi, I downloaded the source code for the package zoo (zoo_1.2-2.tgz from CRAN). When I gunzip and untar the file I can't find the R / C / FORTRAN code for the library. In the R directory under zoo, the listing is for 3 files: zoo zoo.rdb zoo.rdx Is the code encoded in one of these files? I've had this problem with other packages too, trying to browse the source. Am I missing something

Hi All, I am trying to cross compile speex-1.1.12 to powerpc-405, i get a error after the make, speexec.lo error, please help me how to get rid of this error. On 2/9/07, speex-dev-request@xiph.org <speex-dev-request@xiph.org> wrote: > Send Speex-dev mailing list submissions to > speex-dev@xiph.org > > To subscribe or unsubscribe via the World Wide Web, visit >

Hi All. I'm trying to run nlsList an getting an error that makes no sense to me. I have accuracy and reaction time data over many trials for each person (id) When I use nlsList code that is virtually identical to the example in the doc file I get the following error. I've tried everything I could think of and can't get around it. Any ideas what I'm doing wrong? **************

I am trying to learn how to use nlme by working on a simple example. I attach the data from a toy example I made up which is similar to my real problem. (My grasp of fixed/random effects is still a bit tenuous) It is a longitudinal study of the effect of two treatments: A and B. The data were created by: A: y<-12/(1+exp((2-time)/.5)),y<-8/(1+exp((2-time)/.5)) B:

Dear R-helpers, I'm using R 2.5.0 under Windows and am trying to use nlsList from nlme 3.1-80 with the selfstart function for the four parametric logistic function. My first test went well, but now I'm trying to do some more sophisticated things and it does not work anymore. I simulate my data from a five parametric logistic function like this:

I am trying to create a plot similar to Figure 3.2 in Bates and Pinheiro. I have repeated measurements on about 80 subjects from 2 treatment groups. I would like to have the panels for the two treatment groups in separate groups and within those groups have the panels ordered on maximum value (as is the default). I am ok with getting plots similar to Figs 3.1 and 3.2, but can't see how to

Hi, I'm trying to plot a grouped data object for modelling maximum branch size by distance from stem apex: >MAXBRD.group <- groupedData(MAXBRD ~ Dtop | Type/Site/Tree, inner=~Status, data=MAXBRD.data). The following code produces a plot of MAXBRD ~ Dtop for each site type: >plot(MAXBRD.group, collapse=1, display=1, aspect=1.2, pch=20, inner=~1, main="MAXBRD with

Dear Experts, May be the problem is still solved, however I tried to find the answer in the archives: I use: > R.version _ platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 1 minor 7.1 year 2003 month 06 day 16

I am encountering difficulty with NextMethod in 0.50-a4. We created a class of groupedData objects which are data.frames with additional attributes. The most important attribute is a formula describing roles of some of the variables in the experimental design. The class of such objects ends in "groupedData", "data.frame". The print method for the groupedData class simply

Dear R-help, I am trying to create groupedData objects using the nlme library. I'm missing something basic, I know: Here is the first example in ch.1 of Pinheiro & Bates (2000): library(nlme) x2=Rail$travel;x1=Rail$Rail;eg1=data.frame(x1,x2);eg1gd=Rail print(eg1gd) x11();print(plot(eg1gd)) femodel=lm(x2~x1-1,data=eg1gd) print(femodel$coefficients) Result: x12 x15 x11

Dear All, I would be grateful if you can tell how can I suppress the legend (automatically created) when I plot a groupedData. suppose that I have data farme df_0 which contains the following columns: ID represents the clusters, t represents time of observation, Y: the variable of interest and X a binary covariate. Then: df_1 <- groupedData(Y ~ t | ID) plot(df_1,

Hi All. I'd like to send some control arguments to the nls function when performing a nlsList analysis. I'm fitting a power model to some grouped data and would like to impose lower bounds on the estimates using the "port" algorithm. Obtaining the lower bound constraint works fine with a direct call to nls for a single level of the grouping variable. ?However, the bounds

Dear R users, I have the following code: ---------------------------------------- require(nlme) myfunc <- function(data, n, m, maxIter = 3){ working <- groupedData(formula = y~x|id, data=data) val <- NULL r <- 0 while(r < maxIter){ new.data <- data.frame(x=rnorm(n),y=rnorm(n),id=rep(1:n,each=m)) working <- update(working, data = new.data) # val <- some