search for: aone

Hello, I'm struggling with an elementary problem with R. I have a simple data frame such as this one giving the number of accidents subdivided by sex, age and region. sex age region no_of_accidents F young north 10 F young south 12 F old north 5 F old south 7 M young north 24 M

...e '*mtext function*' given below are the output I generated on using the below code which is different from the formula description on r help > par(mfrow=c(2,1),xpd=NA) > y1 <- rnorm(100) > plot(y1,ann=F,axes=F,type="l") > box(col="blue") > mtext("aone",side=1,padj=0) > mtext("aone",side=1,padj=1) > mtext("aone",side=2,padj=1) > mtext("aone",side=2,padj=0) and the output is in the attached jpeg This is different from the r help description padj adjustment for each string perpendicular to the reading di...

I am simulating sickness among a group of families. Part of the task is to randomly draw who in the family will be sick, randomly drawing from family ID's where Dad =1, Mom = 2, Kid1 = 3, Kid2 = 4., etc. My census of Dads is of the form shown below. Dad_ID Spouse (Y=1;N=0) #Kids #People_Becoming_Sick 1 1 0 1 2

Hi all, simple Q: how do I extract the upper and lower CI for predicted probabilities directly for a glm - I'm sure there's a one line to do it but I can't find it. the predicted values I get with the predict (.. "response") Thanks Gerard ********************************************************************************** The information transmitted is intended only for

All - I am evaluating an arima(2,1,3) and arima(3,1,3) and notice the log-likelihood of the restricted model is higher than the log-likelihood of the unrestricted. Since these are nested models, I thought the unrestricted model would have a log-likelihood at least as large as that of the restricted model. Am I interpreting the "loglik" output incorrectly? Regards, Stephen

http://bugs.freedesktop.org/show_bug.cgi?id=25795 Summary: windows not redrawn after resize Product: xorg Version: 7.4 Platform: x86-64 (AMD64) OS/Version: Linux (All) Status: NEW Severity: normal Priority: medium Component: Driver/nouveau AssignedTo: nouveau at lists.freedesktop.org

In the following code, the only difference between the two plots is the order the variables are plotted. In this case, the plot of "cdata.den" in plot #1 is different from its plot in #2. Specifically, "cdata.den" spans the x-axis from -5 to 30 in plot #1 and from 0 to 20 in plot #2. Does anyone understand why these two plots do not yield the same result? #Make density

Hi all, I have a multiple queing situation I'd like to simulate to get some idea of the distributions - waiting times and allocations etc. Does R has a package available for this - many years ago there used to be a language called "simscript" for discrete event simulation and I was wondering if R has an equivalent (or hopefully with graphics, something better!). Apologies if there

Dear all, sorry to bother you all with this but I've been trying to use the loglm in MASS package (v2.8.0) and cannot get any sensible output. I'm wondering am I doing something very foolish or missing something obvious. For example, I tried the documentation help(loglm) example - here's the code # Case 1: frequencies specified as an array. sapply(minn38,

Hi Christian, Chuck (and lists) It seems that the problem may be the strange behaviour of 'unstack' inside a function. See this thread in the R mailing list: http://tolstoy.newcastle.edu.au/R/help/04/03/1160.html Anyway, I got round the problem by using 'aggregate' instead of converting to a list and then tapply to sum values of metric. Probably more efficient as well. Thanks

Dear all, I've replicated the cheese tasting example on p175 of GLM's by McCullagh and Nelder. This is a 4 treatment (rows) by 9 ordinal response (cols) table. Here's my simple code: #### cheese library(MASS) options(contrasts = c("contr.treatment", "contr.poly")) y = c(0,0, 1, 7, 8,8,19, 8,1, 6,9,12,11, 7,6, 1, 0,0, 1,1, 6, 8,23,7,

Hi all, apologies if this is obvious - but I can't see it and would appreciate some quick help! the matrix mhouse is 26x3 and I'm computing odds ratios. The simple code below "should" compute the odds vector for every pair (325) i.e. 26C2 in cols 1 and 2. On the first i=1 outer loop the inner j loop runs from 2 to 26 ok and then I get the error (Error: subscript out of bounds)

Hello, I am trying to embed R-code inside VB for Excel (probably a perverse endeavour anyway) and I am running into difficulties, especially when passing vectors back and forth between the two environments. (1) I am using the RExcel package. (2) An example of error that I often get and that I can't seem to be able to work myself around of is the following VB message: ------ Run-time

Hello, I am a new user of R and found the function dtnorm() in the package msm. My problem now is, that it is not possible for me to get the mean and sd out of a sample when I want a left-truncated normal distribution starting at "0". fitdistr(x,dtnorm, start=list(mean=0, sd=1)) returns the error message "Fehler in "[<-"(`*tmp*`, x >= lower & x <= upper,

http://bugs.freedesktop.org/show_bug.cgi?id=19299 Summary: urxvt does not render fonts with background Product: xorg Version: git Platform: x86-64 (AMD64) OS/Version: Linux (All) Status: NEW Severity: normal Priority: medium Component: Driver/nouveau AssignedTo: nouveau at lists.freedesktop.org

Dear All, 1. Does anyone have experience of running R on a server inside a Citrix shell - I'd like to get R onto the server and would be greatful for any tips or direction on the matter. 2. This may seem like a silly question so forgive my ignornace. Most of the data I currently work with is held on a number of Lotus Notes (LN) Databases (well it's called a DB here but it's really a

dhabby wrote: Last week I run in to a lot a problems triyng to fit an ARIMA model to a time series. The problem is that the internal process of the arima function call function "optim" to estimate the model parameters, so far so good... but my data presents a problem with the default method "BFGS" of the optim function, the output error looks like this:

Dear all, The standard call to ARIMA in the base package such as arima(y,c(5,0,0),include.mean=FALSE) gives a full 5th order lag polynomial model with for example coeffs Coefficients: ar1 ar2 ar3 ar4 ar5 0.4715 0.067 -0.1772 0.0256 -0.2550 s.e. 0.1421 0.158 0.1569 0.1602 0.1469 Is it possible (I doubt it but am

HI, I'd like to perform a weighted linear least squares fit with R on data with varying errors on both vectors. I can do this with one axis using lm, but have no idea where to go from here. I've tried googling, but no idea. Any suggestions? Thanks, James

Hi everyone, newbee query! I've installed R 2.8.0 and tried to run this simple glm - x is no of cars in a given year, y is the number voted in an election that year while n is the population 18+: votes <- data.frame(x = c(0.62,0.77,0.71,0.74,0.77,0.86,1.13,1.44), + y=c(502,542,711,653,771,806,934,1123), n=