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I know I should probably RTFM for this question, but could someone tell me if R supports the idea of "viewing source" on any particular function you want to use? If I want to "view source" on the rpois() function...

----- Original Message ----- From: "Richard A. O'Keefe" <ok at cs.otago.ac.nz> To: <paul at datavore.com> Sent: Thursday, September 04, 2003 2:56 AM Subject: Re: [R] Overlaying graphs > I do not know how to overlay the curve...

I am wanting to construct a probability distribution for height and then, hopefully, visually and analytically demonstrate that it is normally distributed. These are the commands I have developed so far: fat <- read.table("fat.dat", header=TRUE) mu <- mean...

I am developing a PHP script and want to use R to get the probability of a t-value. This just requires that I issue one R statement and output the result. The problem I am having is that R...

My google search for Plackett's Algorithm didn't return too much except that Plackett's algorithm appears to be useful in Control Theory - it is elaborated as "Plackett's algorithm for on-line recursive least squares estimation". Sounds something...

Can someone give me a pointer to where I should be looking for markov chain resources in R? Longer term, I am also interested in the question of whether explanatory variables can coupled to a probability transition matrix to assist...

>> Is there a way to pass R a one-liner without having to put it into a >> batch file and submit it to R as a batch job. David Firth wrote > > various possibilities for this using unix redirection > e.g...

From: "Damon Wischik" <djw1005 at cam.ac.uk> > Paul Meagher wrote: > > 2. Does R have a suite of "best-fit" tools for finding the best > > fitting-probability distribution for any observed probability distribution? > > I think that the best-fitting probability...

Say I have collected data and used it to construct a linear model. I now have a new observation and want to use it to update my linear model. Is there a more efficient way to update the model than...

> I do think that in an article you should also point out to people that > there is a lot of numerical code available out there, written by people > who know a lot more than we do about what they are...

My apologies for the last email that only contained the message and not my reply. Here is what I meant to send. ----- Original Message ----- From: "Richard A. O'Keefe" <ok at cs.otago.ac.nz> To: <paul at datavore.com...

> You can generate Poisson random numbers from a Poisson process like this: > > rfishy<-function(lambda){ > t <- 0 > i <- -1 > while(t<=lambda){ > t<-t-log(runif(1)) > i<-i+1 > } > return(i) > } This is a nice compact algorithm for generating...

Hi Zitan, Below is the test I ran awhile back on invoking R as a system call. It might be faster if you had a c-extension to R but before I went that route I would want to know...

From: "Spencer Graves" <spencer.graves at PDF.COM> > Your observation that qqnorm "does not appear to be very general" is > rebutted by Venables and Ripley (2002) Modern Applied Statistics with S, > 4th ed. (Springer, p.108): "One of the best...

> Just type the name of the function to see the R code > > rpois > function (n, lambda) > .Internal(rpois(n, lambda)) > > But in this case it tells you that rpois is implemented in C code :( > > By convention, it is likely to...