similar to: PBSmodelling: Change the "edit" option of a widget

Does anyone know how to pass a list of parameters into a function? for example: somefun=function(x1,x2,x3,x4,x5,x6,x7,x8,x9){ ans=x1+x2+x3+x4+x5+x6+x7+x8+x9 return(ans) } somefun(1,2,3,4,5,6,7,8,9) # I would like this to work: temp=c(x3=3,x4=4,x5=5,x6=6,x7=7,x8=8,x9=9) somefun(x1=1,x2=2,temp) # OR I would like this to work: temp=list(x3=3,x4=4,x5=5,x6=6,x7=7,x8=8,x9=9)

I thought the "apply" functions are faster than for loops, but my most recent test shows that apply actually takes a significantly longer than a for loop. Am I missing something? It doesn't matter much if I do column wise calculations rather than row wise ## Example of how apply is SLOWER than for loop: #rm(list=ls()) ## DEFINE VARIABLES mu=0.05 ; sigma=0.20 ; dt=.25 ; T=50 ;

Windows XP. I have just updated to R 2.11.0 and then run update.packages. In the series of updates, a few will succeed, then I get a failure like package 'mvtnorm' successfully unpacked and MD5 sums checked package 'party' successfully unpacked and MD5 sums checked package 'PBSmodelling' successfully unpacked and MD5 sums checked Error in normalizePath(path) :

Dear R users, I have now managed to fit the curve using the thin plate spline as follows: library(mgcv) b <- gam(y~s(x1,x2,k=100),data =dat) vis.gam(b) What I want now is to get the fitted data for y and copy it so that I use it for further analysis. Many thanks in advance mintewab

hello all, I'm overlaying numerous scatter plots onto a map (done in PBSmodelling). In this case I'm placing each plot by setting par(fig) to the centroid of map polygons. The location/mapping part is not so important. There are cases of small overlaps for some plots (ie figures) so I'm keen to write or find a function that moves my small scatter plots so they don't overlap. A

I have a numerical vector which contains a (poorly) formatted time column, which, in theory, should be HHMM, but was distributed as an integer, so, for 12:15 am, it is saved as "15" (e.g. HHMM = 0015 with the zeroes stripped). I'm trying to use this in conjunction with strptime, but I'm thinking because each time is an integer ranging from 1 to 4 digits, I probably need to

Why doesn't this work? x = zoo(1:5, as.Date('2001-01-01')+1:5) x[as.Date('2001-01-05')] x[as.Date('2001-01-05')] = 0 x I think this is especially bad because it doesn't cause an error. It lets you do something to x, but then you can't see x again to see what it did. [[alternative HTML version deleted]]

On the Mac it's pretty easy to get to a USB drive by name. For example the following command works if you have a USB drive named "MYUSB" setwd('/Volumes/MYUSB') Is there a way to do the same thing in Windows (without knowing the drive letter)? Thanks! [[alternative HTML version deleted]]

** Disclaimer: I'm looking for general suggestions ** I'm sorry, but can't send out the file I'm using, so there is no reproducible example. I'm using read.table and it's taking over 30 seconds to read a tiny file. The strange thing is that it takes roughly the same amount of time if the file is 100 times larger. After re-reviewing the data Import / Export manual I think

So after about 4 hours struggling with Try and TryCatch I am throwing in the towel. I have a more complicated function that used logspline through iterative distributions and at some point the logspline doesnt function correctly for some subsets but is fine with others so I need to be able to identify when the error occurs and stop curtailing the distribution and I think this Try or TryCatch

I don't understand how this function can subset by i when i is missing.... ## My function: myfun = function(vec, i){ ret = vec[i] ret } ## My data: i = 10 vec = 1:100 ## Expected input and behavior: myfun(vec, i) ## Missing an argument, but error is not caught! ## How is subsetting even possible here??? myfun(vec) Is there a way to check for missing function arguments, *and*

I've been wondering what L means in the R computing context, and was wondering if someone could point me to a reference where I could read about it, or tell me what it's called so that I can search for it myself. (L by itself is a little too general for a search term). I encounter it in strange places, most recently in the "save" documentation. save(..., list = character(0L),

# Just when I thought I had the basic stuff mastered.... # This has been quite perplexing, thanks for any help ## Here's the example: db1=data.frame( olditems=c('soup','','','','nuts'), prices=c(4.45, 3.25, 4.42, 2.25, 3.98)) db2=data.frame( newitems=c('stew','crackers','tofu','goatsmilk','peanuts'))

Can someone please tell me what is up with na.action in aggregate? My (somewhat) reproducible example: (I say somewhat because some lines wouldn't run in a separate session, more below) set.seed(100) dat=data.frame( x1=sample(c(NA,'m','f'), 100, replace=TRUE), x2=sample(c(NA, 1:10), 100, replace=TRUE), x3=sample(c(NA,letters[1:5]), 100, replace=TRUE),

Hi all, can anyone please tell me what is the key-word to clear the screen? I am aware of the "cont+L", however I need some R-syntax, that can be typed into the console to clear the screen.   Thanks [[alternative HTML version deleted]]

I am looking to build simple GUIs based on the R codes I have. The main objective is to hide the scary R codes from non-programming people and make it easier for them to try out different inputs. For example, 1. The GUI will have means to upload a csv file which will be read by the R code. 2. A button to preprocess data (carried out by a R function behind) 3. A button to build some models

Does anyone know how to dock graphics windows in Eclipse when using the StatET plug-in for R? Right now every time I make a graph it pops up as a separate window, which takes up too much real estate. By the way, if you have not tried the StatET thing, you should. It's really nice, and I'm sure I'm not even using all the bells and whistles. The "automatic variable

This must be explained somewhere, but I've been searching for a couple of hours and not found it. What happened to ggplot? It appears to be missing on CRAN, except in the archives. http://cran.r-project.org/web/packages/ggplot/index.html Has ggplot2 replaced ggplot? I was trying to run some examples and found that "pscontinuous" and "ggline" are not part of ggplot2.

I think that the "quietly" argument in "require" isn't working > require('JumboShrimp', quietly=TRUE) Warning in library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE, : there is no package called 'JumboShrimp' > By the way, the behavior is the same with options(warn=0) or options(warn=1) I'm using R 2.12

Can anyone illuminate the following for me? How can I get rid of the blue line in the key in the second plot? ## Create a simple data frame df=data.frame(x=1:1000, y=2*1:1000+rnorm(1000,sd=1000), type=sample(letters[1:2],1000, replace=TRUE)) ## Very nice! Almost what I want qplot(x, y, data=df, colour=factor(type)) + geom_smooth() ## Make a nicer plot, with smaller points ## but why