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The file src/share/replaygain_synthesis/include/private/fast_float_math_hack.h redefines 'tanh' as 'tanhf'. This file is intended for Intel Compiler only, but it includes outdated mathf.h and doesn't work with current versions of ICC. The fixes are trivial though, and I compiled 2 versions of flac.exe: with this 'hack' turned off an on. The difference in decoding speed

a) replaces float literal by double (there's no point to multiply double variable 'sample' by float const) b) replaces ifdef __ICL --> if 0 (even intel compiler doesn't have mathf.h) -------------- next part -------------- A non-text attachment was scrubbed... Name: rg_synth.patch Type: application/octet-stream Size: 1157 bytes Desc: not available Url :

...first part should be readable text, while the remaining parts are likely unreadable without MIME-aware tools. Send mail to mime@docserver.cac.washington.edu for more info. --0-488534781-901753860=:6003 Content-Type: TEXT/PLAIN; CHARSET=US-ASCII Content-ID: <Pine.NEB.4.00.9807291716501.6003@mathfs.math.montana.edu> Attached is R code for an aov function which handles multiple error strata. I took a different approach from that suggested in the model.c code of R&R. Rather than modify model.c, I did all of the functions as interpreted R code. They work on the examples in Chamb...

R developers, 2 things: a bug in model.frame and a question about setup of generic functions. I don't understand the following behavior for generic functions: Suppose I'm working with the cats data in the MASS library and I want to create a formula object to model Hwt on Sex: # This works: > formula(Hwt ~ Sex) Hwt ~ Sex # But the following does not: > formula(Hwt ~ Sex,

I've not benchmarked to know if their is any real benefit, but changing the include in fast_float_math_hack.h to <mathimf.h> is all that is required to use the latest ICC. John On 17/05/2014 10:26, lvqcl wrote: > The file > src/share/replaygain_synthesis/include/private/fast_float_math_hack.h > redefines 'tanh' as 'tanhf'. This file is intended for Intel

Dear R-helpers, I just upgraded from version 62.1 to 62.2 and now am faced with the same problem I've run into before when upgrading: Is there an easy way to take the libraries I have been using in the older version and pull then into the new version. My organization looks like this on Solaris 2.5.2: /opt -- /R -- /R-0.62.1 --/library -- subdirectories for lots of

Just after R-0.63.0 came out I reported a problem to the list. I was unable to get ./configure to complete it's job, because it couldn't find a working fortran. It stopped after trying to test for underscore in subroutine names. This was especially perplexing, since I could still configure the older version (I had 62.2) with no error messages. I tried suggestions of B.D. Ripley and

To R-devel: If anyone is testing the aov() function and it's relatives which I posted to the list, thanks for the effort, but I would ask you to hold off now. Brian Ripley is developing better and more complete versions, so you should save your effort for looking over his functions. His preliminary version is located at: http://www.stats.ox.ac.uk/pub/R/aov.tar.gz Prof. Ripley says

When I run configure for the new release, R-0.63, I get an error: loading cache ./config.cache checking for a BSD compatible install... aux/install-sh -c checking whether ln -s works... yes checking for ranlib... ranlib checking for bison... bison -y checking for ar... ar checking for ratfor... no checking for latex... /psoft/TeX/bin/latex checking for dvips... /psoft/TeX/bin/dvips checking for

When I run configure for the new release, R-0.63, I get an error: loading cache ./config.cache checking for a BSD compatible install... aux/install-sh -c checking whether ln -s works... yes checking for ranlib... ranlib checking for bison... bison -y checking for ar... ar checking for ratfor... no checking for latex... /psoft/TeX/bin/latex checking for dvips... /psoft/TeX/bin/dvips checking for

R-crew, I'm trying to install the R-Snapshot which I downloaded a few hours ago and I'm having a problem I can't trace. My system is Sun SPARC, SunOS 5.3 : 1996 >From running ./configure:*************************************** loading cache ./config.cache checking for a BSD compatible install... /opt/local/R/R-snapshot/etc/install-sh -c checking whether ln -s works... yes

R developers, Last week I asked several questions which I think I can now answer myself in large part. > > Q 1) Is aov supposed to avoid qr decomposition and matrix inversion? > In S it is claimed to be faster than lm() for large datasets. Is > that due to avoidance of qr()? > (My main goal is to get the Error strata working.) My use of matrix

R developers, I have a first attempt to make an aov function. Eventually I want to build in Error() structure, but first I am trying to get this presentable for balanced data with only a single stratum, just using residual error. I am following R. M. Heiberger's Computation for the Analysis of Designed Experiments, Wiley (1989) I a using a wrapper (aov.bal) to call the