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Hey all, I am just born today in the r language and I discover that it the language that I need for my research. I don't too much yet about this language. I want to know if I can find in this language and install the package data set related to " The Framingham Heart Study", see references here: http://content.nejm.org/cgi/content/full/357/4/370

I?m in the process of upgrading an old server from Fedora 21 to something more modern. Now, Dovecot won?t let any client login to get their email. PAM audit_log_acct_message() failed: Operation not permitted imap-login: Disconnected (AUTH failed, 2 attempts in 10 secs): user=<username>, method=PLAIN, rip=192.168.1.94 lip=192.168.1.94, TLS, session=<sessionid> # 2.3.1 (8e2f634):

Hi, I am trying to runn a age-period-cohort model, but here is what I am having problem with, hope you can help me! This is what I am trying to do: sumzero_a<-((A-min(A))/5+1) - mean((A-min(A))/5+1) where A is my age variable (numeric, the mid-point of a five-year age group), but I got the following error: Error in min(..., na.rm = na.rm) : invalid 'mode' of argument I am pretty

I agree with many the sentiments about the wisdom of computing very small p-values (although the example below may win some kind of a prize: I've seen people talking about p-values of the order of 10^(-2000), but never 10^(-(10^8)) !). That said, there are a several tricks for getting more reasonable sums of very small probabilities. The first is to scale the p-values by dividing the

foreign package does not support dataset saved at stata 13. anyone knows any wayt to make it works? [[alternative HTML version deleted]]

Is this the right mailing list ? I want to compile llvm-2.5 under Fedora 11 with gcc (GCC) 4.4.0 20090506 (Red Hat 4.4.0-4) and get In file included from Signals.cpp:31: Unix/Signals.inc: In function ‘void<unnamed>::PrintStackTrace()’: Unix/Signals.inc:81: error: invalid conversion from ‘const char*’ to ‘char*’ Unix/Signals.inc:96: error: invalid conversion from ‘const char*’ to ‘char*’

On 08/13/2009 07:35 PM, Matt Elder wrote: > From an x86-64 machine, I'm trying to compile llvm and llvm-gcc. I'm > using the LLVM 2.5 release, and the associated llvm-gcc tarball. llvm > compiles fine; ours is compiled to a Debugging version. llvm-gcc, > though, is angry. I get the following error (with path prefixes > shortened for convenience) when compiling llvm-gcc:

Has anyone found a good wayt o do a gate intercom using Asterisk? I am looking at a Xorcom PBX with programmable contact, so I have no issue with opening the gate, but the interface at the gate is a bit tricky. I thought about a weather proof housing containing a phone but it seems a bit tacky. I also looked at a handsfree erather proof phone, but at $600 it is a bit steep. Any solutions that

Hi, I've not got any experience using ANTLR to parse C++, however, you will find that there only exists a C code generator for ANTLR and NOT a C++ one. Over the years numerous people have requested a C++ code generation template but alas there is still only a C one. Just a heads up. Granville 2009/7/11 Vikram S. Adve <vadve at cs.uiuc.edu> > We are looking for an open source C++

You may want to look into using the log option to qnorm e.g., in round figures: > log(1e-300) [1] -690.7755 > qnorm(-691, log=TRUE) [1] -37.05315 > exp(37^2/2) [1] 1.881797e+297 > exp(-37^2/2) [1] 5.314068e-298 Notice that floating point representation cuts out at 1e+/-308 or so. If you want to go outside that range, you may need explicit manipulation of the log values. qnorm()

This is a question about the use of the Cox proportional hazards model to analyze event histories. I am looking at the responses of sympathetic nervous system activity to a stimulus. The activity I observe is a burst that can only occur once per heart beat cycle (e.g., a binary count). Typically bursts occur in 60-80% of the heart cycles * sensory stimuli can modify these burst probabilities.

Hi Peter, Rui, Chrstophe and Gabriel, Thanks for your inputs -- the use of qnorm(., log=TRUE) is a good point in line with pnorm with which we devised log(p) as log(2) + pnorm(-abs(z), lower.tail = TRUE, log.p = TRUE) that could do really really well for large z compared to Rmpfr. Maybe I am asking too much since z <-20000 >

From an x86-64 machine, I'm trying to compile llvm and llvm-gcc. I'm using the LLVM 2.5 release, and the associated llvm-gcc tarball. llvm compiles fine; ours is compiled to a Debugging version. llvm-gcc, though, is angry. I get the following error (with path prefixes shortened for convenience) when compiling llvm-gcc: > In file included from

>>>>> William Dunlap via R-devel >>>>> on Sun, 23 Jun 2019 10:34:47 -0700 writes: >>>>> William Dunlap via R-devel >>>>> on Sun, 23 Jun 2019 10:34:47 -0700 writes: > include/Rmath.h declares a set of 'logspace' functions for use at the C > level. I don't think there are core R functions that call

include/Rmath.h declares a set of 'logspace' functions for use at the C level. I don't think there are core R functions that call them. /* Compute the log of a sum or difference from logs of terms, i.e., * * log (exp (logx) + exp (logy)) * or log (exp (logx) - exp (logy)) * * without causing overflows or throwing away too much accuracy: */ double Rf_logspace_add(double

Hi All, Thanks for all your comments which allows me to appreciate more of these in Python and R. I just came across the matrixStats package, ## EXAMPLE #1 lx <- c(1000.01, 1000.02) y0 <- log(sum(exp(lx))) print(y0) ## Inf y1 <- logSumExp(lx) print(y1) ## 1000.708 and > ly <- lx*100000 > ly [1] 100001000 100002000 > y1 <- logSumExp(ly) > print(y1) [1] 100002000

I would really appreciate it if someone can give suggestions on how to do spectra fitting in R using ordinary least square fitting and non-negativity constraints. The lm() function works well for ordinary least square fitting, but how to specify non-negativity constraints? It wouldn't make sense if the fitting coefficients coming out as negative in absorption spectra deconvolution. Thanks.

Hi ! I have some windows users connected to a Apple Xserve running Mac OS X server 10.4.11 Some users have started complaining that it is taken a considerable time when "saving" data back to the shared SMB drive In my /var/log/samba/log/smbd it is full of the following errors [2012/03/15 14:40:18, 0] darwin_acls.c:map_ntacl_to_darwinacl(1256) map_ntacl_to_darwinacl:

Thanks. Eric Leifer, Ph.D. Office of Biostatistics Research National Heart, Lung, and Blood Institute 6701 Rockledge Drive, MSC 8217 Bethesda, MD 20892-8217 Email: LeiferE@NHLBI.NIH.GOV Phone: 301-435-0436 FAX: 301-480-1862

I need to extract the p value from a ANOVA done with lm model fitting <- lm(var ~ group) Sfitting <- summary(fitting) Sfitting[10][1] gives the F value and the degrees of freedom but I am not able to get the p value. The function df should give a p value given a F but I am not able to make it work. I found only something about aov in the R help and I am not able to make it work Massimo