search for: baxy

hi, i have a problem installing any type of GUI interface on my debian lenny 64x OS, can anybody spare some time to help me?. so i have installed the R by apt-get and then in R used command : baxy:~# update-alternatives --config java There are 3 alternatives which provide `java'. Selection Alternative ----------------------------------------------- 1 /usr/bin/gij-4.3 2 /usr/lib/jvm/java-gcj/jre/bin/java *+ 3 /usr/lib/jvm/java-6-openjdk/jre/bin/...

...06630064 which indicate that my data fits the beta quite well, why the bootstrap rejects the hypothesis that both data sets come from the same population. Or did i misunderstood something??? Please do correct me. Furthermore, should I be worried that other two tests were not computed ? Thank you baxy -- View this message in context: http://r.789695.n4.nabble.com/How-to-interpret-Kolmogorov-Smirnov-stats-tp3703655p3703655.html Sent from the R help mailing list archive at Nabble.com.

Hello Everyone,   Learning about R and its wonderful array of functions. If it's not obvious, I usually try to find out what a function stands for. I think this helps me remember better.   One function that has me stumped is "sink." Can anyone tell me if this stands for something?   Thanks,   Paul         __________________________________________________ [[alternative HTML

hi, is there a way to compile r script , so that it can be run without the R platform, both on unix and windows something to create exe file. thnx -- View this message in context: http://www.nabble.com/R-to-exe-tp17291121p17291121.html Sent from the R help mailing list archive at Nabble.com.

Hi, sorry for repeating the question but this is kind of important to me and i don't know whom should i ask. So as noted before when I do a parameter fit to the beta distr i get: fitdist(vectNorm,"beta"); Fitting of the distribution ' beta ' by maximum likelihood Parameters: estimate Std. Error shape1 2.148779 0.1458042 shape2 810.067515 61.8608126 Warning

Hi, Well, i need some help, practical and theoretical. I am wondering why the fitdistplus (mle function) is returning an error for this code: [code] x1 <- c(100,200,140,98,97,56,42,10,2,2,1,4,3,2,12,3,1,1,1,1,0,0); plotdist(x1); descdist(x1, boot =1000); y<- sum(x1); d= as.vector(length(x1)); for(i in 1:length(x1)){ d[i] = x1[i]/y; } fitdist(d, "beta") [/code] Error: