search for: epimetr

Displaying 5 results from an estimated 5 matches for "epimetr".

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1998 Oct 28
0
ESS
...rking on other aspects of ESS recently, and havn't made the integration yet, sigh... (again, if any one wants to give me a reasonably fast W95/NT box to play with :-).... Comments from others more than welcome! best, -tony -- A.J. Rossini UW Biostatistics & Center for AIDS Research Epimetrics Corporation 206-543-1044 / 206-720-4282 206-652-0604 rossini@biostat.washington.edu rossini@epimetrics.com http://www.biostat.washington.edu/~rossini/ http://www.epimetrics.com/ -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-devel mailing list -- Read http:...
1998 Oct 25
2
EGCS optimizer bug?
The current development version dies in qbeta() when compiled with egcs -O, egcs 1.0.2 and glibc 2.0.7 (RedHat versions). Since this also kill the F and t distributions, it doesn't exactly do wonders for R's usefulness... Anyone else seeing this or has my setup just gone out of whack? It does look pretty much like a clear compiler bug when inlining math functions (storing temporaries
1998 Nov 20
2
installing R packages in Windows?
> Date: Fri, 20 Nov 1998 15:58:07 +0100 > To: r-help at stat.math.ethz.ch > Subject: [R] installing R packages in Windows? > From: 320098218774-0001 at t-online.de (Pablo E. Verde) > > I am a Windows user of R. Could somebody give me a concrete > example of how to install a package in R? I have tried to > follow the Appendix C of "R complements to Modern Applied >
1998 Nov 20
2
installing R packages in Windows?
> Date: Fri, 20 Nov 1998 15:58:07 +0100 > To: r-help at stat.math.ethz.ch > Subject: [R] installing R packages in Windows? > From: 320098218774-0001 at t-online.de (Pablo E. Verde) > > I am a Windows user of R. Could somebody give me a concrete > example of how to install a package in R? I have tried to > follow the Appendix C of "R complements to Modern Applied >
1998 Apr 01
1
line plot with NA
I have the following data: intens<-c(28000,72000,120000,150000,180000,260000,310000) #Td peakcb<-c(1.2,2.5,2.7,3.7,5.6,6.2,6.8) #presses/s peakan<-c(0.5,3.7,5.1,5.8,7.4,NA,8.4) (See why I am using NA? I can work around this problem by using intensityan and intensitycb) Now do a plot of peakan: plot(intensity, peakan, pch=10,type="b") The plot skips the point (260000,NA),