similar to: OT: ManxPower 2005 European Tour

>>>Those things generally happen in Amsterdam. And in Kristiania in >>>Copenhagen. The usual problem: Smoking too much pot > I have to object to that, as a rule of thumb the Dutch only rob tourists who > are dressed like tourists and act like tourists, that's what we all agreed > to here and live by -- please just dress local and act local, so we can > finally

>>Those things generally happen in Amsterdam. And in Kristiania in >>Copenhagen. The usual problem: Smoking too much pot I have to object to that, as a rule of thumb the Dutch only rob tourists who are dressed like tourists and act like tourists, that's what we all agreed to here and live by -- please just dress local and act local, so we can finally stop smoking pot just to keep

>> Amsterdam!! > I had my laptop and suitcase stolen in Amsterdam the one time I went > there, after hearing someone talk about how safe a city it was over > dinner. Most importantly, also stolen was my (apparently irreplacable) > copyleft shirt (yellow/gold with large blue backwards (C) symbol on front > and GPL preamble on back) which no amount of effort has managed to

Florian, Sorry you haven't heard anything but we've recently decided not to offer this product out side of Holland. If your still interested we have another product called ISDN-Flex that provides SIP/H.323 PSTN access inbound/outbound but you need to be connected on on one of our IP or MetroLan products so we can guarantee the QoS. Rgds, Adam -----Original Message----- From: Florian

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Hi all: Using the example below, is there a way to add Y axis titles to each graphic instead of sharing the same title? library(ggplot2) RT = matrix(c(814, 500, 424, 394, 967, 574, 472, 446),4,2) colnames(RT) = c('repetition','alternation') rownames(RT) = c('7-yrs','11-yrs','15-yrs','21-yrs') rt <- melt(RT) names(rt) <- c("age",

Hi all, This could be naivety/stupidity on my part rather than a problem with model output, but here goes.... I have fitted a fairly simple model m1<-glm(count~siteall+yrs+yrs:district,family=quasipoisson,weights=weight,data=m[x[[i]],]) I want to know if yrs (a continuous variable) has a significant unique effect in the model, so I fit a simplified model with the main effect ommitted...

Hi I am currently recruiting for a number of freelance contracts and permanent internal positions, both junior and senior, for Europe''s largest and most dynamic Ruby on Rails development projects, offering the chance to work alongside some of the industry''s leading figures in the Web 2.0 development community. Selected locations include Germany (eg Berlin, Munich, Hamburg,

Hi, Use offset variables if count occurrences of an event and you want to model the observation time. glm(count ~ predictors + offset(log(observation_time)), family=poisson) If you want to compare durations, look at library(survival), ?coxph If tnoise_sqrt is the square root of tourist noise, your example seems incorrect, because it is a predictor, not the dependent variable tnoise_sqrt ~

Folks, I call the function calcAmorts like so: calcAmorts(prevAm, amort, myDates) Note that I use the package lubridate. The last line where do.call is called to first divide all the rows by the first row and then rbind gives the following error: Error in do.call("rbind", apply(amortsByYears, 1, "/", amortsByYears[, : second argument must be a list By contrast if

Folks, This question is somewhat related to a previous posting of mine. I just can't seem to create a generic solution. Here is a function that I found searching around the internet: splitIt <- function(x, n) {split(x, sort(rank(x) %% n))} I use it like so: > splitIt(1:12, 2) $`0` [1] 1 2 3 4 5 6 $`1` [1] 7 8 9 10 11 12 Or > splitIt(1:12, 4) $`0` [1] 1 2 3 $`1` [1] 4 5 6

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Hello, I am trying to match lat/lon from one dataset with the lat/lon from a second dataset and use that rows data for calculations. I am using match, but this is finding the first match and not comparing the pair, how can I determine if the lat/lon are the same? See example below. Is there a better way to determine to a matching pair of lat/lon values? Example Datasets: > data2

Dear R-helpers, I have a data.frame (bcpe.lat.m) containing 13 countries, ages 0-50yrs per month, and the corresponding mu&sigma (see below). * I would like to limit the age range to include all 12 months for the 1st 5 years and only whole years for all ages thereafter for each of the countries present in the data frame. * I would like to create separate data.frames according

I have the following piece of code that combines lists comprised of components of varying length into a list with components of constant length. I have found 2 ways to do it, and the faster of the two is posted below along with sample results. Do you have any suggestions on how to decrease the calculation time by modifying the code? > ####Function########### >

I have the following error while installing the Benelux map (Garmin) : fixme:keyboard:X11DRV_KEYBOARD_DetectLayout Your keyboard layout was not found! Instead of using closest match (Belgian keyboard layout) for scancode mapping. Please define your layout in windows/x11drv/keyboard.c and submit them to us for inclusion into future Wine releases. See documentation/keyboard for more information.

Dear list, Is there an exact formula / safe rule of thumb that allows one to express the value of --max-ppsize as a function of the value of getOption("expressions") ? ?options tells "If you increase it [the expressions option], you may also want to start R with a larger protection stack". Motivation is to determine stack size of a Java vm used to launch R with a given

Hello, I would like to run a series of regressions on my data (response variable over time): 1) regression from T1 to T2 2) regressions from T1 through T3 3) regression from T1 through T4, etc. I have been struggling to find a way to do this through commands, as opposed to cutting up the data manually (my dataset has over 6000 rows/observations). An illustrative dataset can be created thusly:

Hi R-users, I have the following problem with CrossTable function within ?gmodels? package: the output of the function (format ?spss? and asresid=T) can not be stored within another object. For example: >library(gmodels) >data(infert, package = "datasets") > CrossTable(infert$education, infert$induced)->aa # the function prints everything ok on the screen > aa # works

I have been timing a particular model fit using lmer on several different computers and came up with a peculiar result - the model fit is considerably slower on a dual-core Athlon 64 using Goto's multithreaded BLAS than on a single-core processor. Here is the timing on a single-core Athlon 64 3000+ running under today's R-devel with version 0.995-5 of the Matrix package. >