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Hi folks, I am confused whether the following is a bug or it is fine Here is the explanation a <- zoo(c(NA,1:9),1:10) Now If I do rollapply(a,FUN=mean,width=3,align="right") I get > rollapply(a,FUN=mean,width=3,align="right") 3 4 5 6 7 8 9 10 NA NA NA NA NA NA NA NA But I shouldn't be getting NA right ? i.e for index 10 I should get (1/3)*(9+8+7)

Hey guys, I have a doubt here , It is something simple I guess, what am I missing out here ?? f <- function(y) function() y tmp <- vector("list", 5) for (i in 1:5) tmp[[i]] <- f(i) tmp[[1]]() # returns 5; z <- f(6) tmp[[1]]() # still returns 5; it should return 6 "ideally" right ??? Even if I dont evaluate the function tmp[[1]] before i.e I do rm(list=ls()) f

Hi RUsers, Suppose I want to see the data on the website url <- "http://www.nseindia.com/content/indices/ind_histvalues.htm" for the index "S&P CNX NIFTY" for dates "FromDate"="01-11-2010","ToDate"="02-11-2010" then read the html table from the page using readHTMLtable() I am using this code webpage <-

hello all I am using the R package Zelig for some tobit regression with robust standard errors. I have got R version 2.9.2 (2009-08-24) and Zelig Version: 3.4-5 when i do demo(robust) It ends like this way data(coalition) > # Fit the model with robust standard error > user.prompt() Press <return> to continue: > z.out3 <- zelig(Surv(duration, ciep12) ~ polar + numst2 +

Dear R users, I have a question here library(AER) library(plm) library(sandwich) ## take the following data data("Gasoline", package="plm") Gasoline$f.year=as.factor(Gasoline$year) Now I run the following regression rhs <- "-1 + f.year + lincomep+lrpmg+lcarpcap" m1<- lm(as.formula(paste("lgaspcar ~", rhs)), data=Gasoline) ###Now I want to find the

Hi , you can try using cov2cor(vcov(lm(calorie~height))) to get the correlation matrix of estimated coefficients boltonboy999 wrote: > > Hi everyone, > > This is pretty urgent so if anyone can help that would be great. > > I have a table of information. The categories are weight, height, > calories and skinfold. There are 20 entries. I have had to carry out >

Hi folks, Here is the problem. I am giving an example .I want to find a measure of similarity or dissimilarity among ranking (of students of a same class of size say 50)by two judges. But instead of observing the rank of all the 50 students (Where we could have used rank correlation measures)in each case what I have is 2 list of top 20 students chosen by each judge. The following paper gives out