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Dear R experts, I am trying to analyze data from an article, the data looks like this Patient Age Sex Aura preCSM preFreq preIntensity postFreq postIntensity postOutcome 1 47 F A 4 6 9 2 8 SD 2 40 F A/N 5 8 9 0 0 E 3 49 M N 5 8 9 2 6 SD 4 40 F A 5 3 10 0 0 E 5 42 F N 5 4 9 0 0 E 6 35 F N 5 8 9 12 7 NR 7 38 F A 5 NA 10 2 9 SD 8 44 M A 4 4 10 0 0 E 9 47 M A 4 5 8 2 7 SD 10 53 F A 5 3 10 0 0 E 11

I was wondering how do I actually see what's inside a function, say, density of t distribution, dt()? I know for some, I can type the function name inside R and the code will be displayed. But for dt(), I get > dt function (x, df, ncp, log = FALSE) { if (missing(ncp)) .Internal(dt(x, df, log)) else .Internal(dnt(x, df, ncp, log)) } <environment: namespace:stats> I

Dear List Is there a package for leapfrog plotting (Hamiltonian Monte Carlo estimation) in R? I tried the actual "LEAPFrOG" package which doesn't actually give the plot like this one? http://xianblog.files.wordpress.com/2010/09/hamilton.jpg How doe one plot this in R? So, there semi-circle and dots on that semi-circle. I don't think curve() or plot() would produce such plot.

Hi, First time using the optim(), can someone please tell me what I am doing wrong? The error looks like this Error in .Internal(pnorm(q, mean, sd, lower.tail, log.p)) : 'sd' is missing An example of the error dat = c(20, 19, 9, 8, 7, 4, 3, 2) dat_mu=mean(dat) dat_s=sd(dat) max.func = function(dat, mu, sd) { pnorm(dat, mu, sd) } optim(fn=max.func, dat=dat, par=c(mu=dat_mu,

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hello, I'm testing out dovecot with postfix. I'm running postfix 2.5.2 with dovecot version 1.1.1 with dovecot sieve plugin version 1.1.5. I have everything compiled and working except for the sieve plugin. I'm now trying to test out the sieve plugin and having no luck in getting a simple auto vacation reply to work. Here is my