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gReetings: Is there any way to download a (or a sample of a) crossection of stock market prices? Or is it possible to use get.hist.quote with a *wild card*? Thanks, mihai Mihai Nica 170 East Griffith St. G5 Jackson, MS 39201 601-914-0361 ____________________________________________________________________________________ 8:00? 8:25? 8:40? Find a flick in no time [[alternative HTML

Hi I am fairly new to R and I would appreciate some help to hopefully a trivial problem. I created a function: summary.aggregate <- function(y, ...) { temp.mean <- aggregate(y, FUN=mean, ...) temp.sd <- aggregate(y, FUN=sd, ...) temp.length <- aggregate(y, FUN=length, ...) temp <- data.frame(cbind(mean=temp.mean$x,stdev=temp.sd$x,n=temp.length$x)) } this outputs e.g.:

I can't understand what is happening. This is the code and results: > agoa <- read.table(file = "C:/Users/HTPC/Documents/_Documents/Research/WithDidia/AGOAUSImports.txt", header = T, sep = "\t", dec = ".", na.strings = "NA", stringsAsFactors = T)# > str(agoa); names(agoa) 'data.frame':109 obs. of  19 variables:  $ X    : Factor w/ 39

Dear r-users! I would like to cross two data frame which have the same row number but different in the number of column. Can anybody help me for this case ? Thanks a lot in advance -------------------------------------------------------------------------------- Majid Iravani PhD Student Swiss Federal Research Institute WSL Research Group of Vegetation Ecology Z?rcherstrasse 111

Greetings: I would like to kindly ask for a little help. The rough code is: #________________________________________________________ dat=data.frame(read.delim(file="all.txt", header = TRUE, sep = "\t", quote="\"", dec=".",na.strings = "NA")) nc=read.shape("astae.shp", dbf.data=TRUE, verbose=TRUE) mappolys=Map2poly(nc) submap

I might be sorry for asking this question :-) I have two equations and I tried to estimate them individually with "lm" and "gls", and then in a system (using systemfit) with "OLS", "WLS" and "SUR". Quite surprisingly (for myself at least) the results are identical to the last digit. Could someone (please!) give a hint as to what am I

Greetings: I would like to kindly ask help with obtaining mexval statistics (marginal explanatory value - percentage increase in SEE if the variable were left out of the regression model) for a logit (glm) model with several continuous independent variables. I believe I can do it manually for each variable, but I really hope there might be somebody who has a function already written. Writing one