similar to: Function for ddply

Hello, Using this data: http://n4.nabble.com/file/n1676330/US_Final_Values.txt US_Final_Values.txt and the following code i got the image at the end of this message: US.final.values<-read.table("c:/tmp/US_Final_Values.txt",header=T,sep=" ") US.nls.1<-nls(US.final.values$ECe~a*US.final.values$WTD^b+c,data=US.final.values,start=list(a=2.75,b=-0.95,c=0.731),trace=TRUE)

Hello, I probably have a syntax error in trying to generate an expected survival curve from a weighted cox model, but I can't see it. I used the help sample code to generate a weighted model, with the addition of a "weights=albumin" argument (I only chose albumin because it had no missing values, not because of any real relevance). Below are my code with the resulting error

Hi all, This is a very silly question or something escapes me: Let obj a simple gam poisson model. Let >obj<-gam(....,family=poisson) >obj1<-update(obj, family=quasi(link="log", var="mu")) >From summary.glm(obj1) the dispersion parameter is estimated 1.165; In fact it is: > (predict(obj1, se.fit=T)$se.fit[1:5]/predict(obj, se.fit=T)$se.fit[1:5])^2 4

Dear R-users, I don't know if there is a problem in wtd.quantile (from library "Hmisc"): -------------------------------- x <- c(1,2,3,4,5) w <- c(0.5,0.4,0.3,0.2,0.1) wtd.quantile(x,weights=w) ------------------------------- The output is: 0% 25% 50% 75% 100% 3.00 3.25 3.50 3.75 4.00 The version of R I am using is: 2.1.0 Best,Jing

I need the function all.equal which is in Splus but not yet in R. Below is a first cut. Comments would be appreciated. Paul Gilbert _______ all.equal <- function(obj1, obj2, ...) {if(mode(obj1) != mode(obj2) ) return("modes differ.") if(class(obj1) != class(obj2)) return("classes differ.") if(! all(unlist(attributes(obj1)) ==

The function wtd.var(x,w) in Hmisc calculates the weighted variance of x where w are the weights. It appears to me that wtd.var(x,w) = var(x) if all of the weights are equal, but this does not appear to be the case. Can someone point out to me where I am going wrong here? Thanks. Tom La Bone [[alternative HTML version deleted]]

Is there a way that I can change the prompt for within a browser() call. I often use use code like > with(obj1,browser()) Browse[1]> Is there a way that I can set it so that I can get something like > with(obj1,browser(prompt="obj1")) obj1[1]> I know that prompt is not a valid option for browser, but it would be nice if it were. There is an option('prompt")

Is there a way that I can change the prompt for within a browser() call. I often use use code like > with(obj1,browser()) Browse[1]> Is there a way that I can set it so that I can get something like > with(obj1,browser(prompt="obj1")) obj1[1]> I know that prompt is not a valid option for browser, but it would be nice if it were. There is an option('prompt")

Hello everyone, I have tried several ways of doing this and searched the documentation and help lists and I have been unable to find an answer or even whether it is possible to do it. I am pasting together a formula and I need to insert double quotes around the strings. Here's an example: location <- c("AL", "AK", "MA", "PA") v=2 test <-

Buenos días, al final de un loop añado 3 variables que acabo de crear, a una df, y les pongo un nombre. Las variables son Max, Min y Mean. Las añado a BData7085: BData7085$Max<-Max BData7085$Min<-Min BData7085$Meann<-Mean (hasta aquí bien) Para ponerles su nombre final: colnames(BData7085)[ncol-2]<-paste(colnames(Data)[j],"max",sep = "")

Hi, I have a data frame with two columns: dt and tf. The dt column is datetime and the tf column is a temperature. dt tf 1 2009-06-20 00:53:00 73 2 2009-06-20 01:08:00 73 3 2009-06-20 01:44:00 72 4 2009-06-20 01:53:00 71 5 2009-06-20 02:07:00 72 ... I need a subset of the rows where the minutes are 53. The hour is immaterial. I can not find a wildcard

Hi all, I have a problem while subsetting a dataframe that is while I am using *%in%* condition like *stemp<-subset(temp, obj1 %in% obj2,select=c(temp))* this is working and giving results that what ever is there is both *obj1*and *obj2* ** ** but I want to get values which is there in *obj1* but not in *obj2 * can anyone help me how to get those values. i tried with *%o%* but i am not

Hi, is there a way to reference to a data object without copying it? For example I have a huge matrix called dist and I want two objects obj1 and obj2 to have a memeber dist that points to the matrix, but I don't want, for memory reasons, to copy the matrix twice. As far as I understand the following code will generate three copies of my data: dist <- some_code_that_generates_data

hi, say I have consecutively numbered objects obj1, obj2, ... in my R workspace. I want to acces one of them inside a function, with the number given as an argument. Where can I find help on how to do that? Somebody must have been trying to do this before... Some keywords to start a search are appreciated as well. Here's an example, I hope it clarifies what I'm trying to do: obj1 <-

Hi, We have experienced some problems with ActiveRecord::Base class of Ruby-Rails. We are building a web-application based on the Ruby-rails framework and the web-application needs to access to difference databases, so we do not pre-define our database accesses in the database.yml file. In fact, we are using the ActiveRecord::Base.establish_connection() to connect to our database, the function

Hello, I was unable to find clues to my problem in ?optim. Using the data and code below, I get an error ("system is exactly singular") when a particular line of code is left in, but have found that 'optim' works when I comment it out. The line of code in question is after the closeAllConnections() line of code and contains a call to "na.approx" from the zoo package.

I have a generic function test.equal <- function(obj1, obj2, ...) UseMethod("test.equal") however, the only argument that specific methods use is "fuzz" so I would like to change this to test.equal <- function(obj1, obj2, fuzz=???) UseMethod("test.equal") The problem is that some methods use slightly different default values for fuzz than others. How should

Hi, I am doing double for loops to calculate SDs with some weights and wondering if I can get rid of the outer for loop as well. I made a simple examples which is essentially what I am doing. Thanks for your help! -Young #------------------------------------------------------ # wtd.var is Hmisc package # you can replace the 3 lines inside for loop as # sdx[i,] =

Dear All, I am economist and working on poverty / income inequality. I need descriptive statitics like the ratio of education expentitures between different income quintiles where each household has a different weight. After a bit of google search I found 'Hmisc' and 'quantreg' libraries for weighted quantiles. The problem is that these packages give me only weighted quintiles;

I am currently running a generalized linear mixed effect model using glmer and I want to estimate how much of the variance is explained by my random factor. summary(glmer(cbind(female,male)~date+(1|dam),family=binomial,data= liz3")) Generalized linear mixed model fit by the Laplace approximation Formula: cbind(female, male) ~ date + (1 | dam) Data: liz3 AIC BIC logLik deviance 241.3