search for: inessenti

I'm plotting the following (stripped of inessentials) xyplot(sd ~ distance | wshed,data=sdvar.df,scales=list(x=list (log=TRUE),y=list(log=TRUE))) sdvar.df is a data frame, sd and distance are numeric, wshed is an ordered factor trying to replicate the action of log="xy" in plot() The plot works fine but the axis values at the ti...

...return the corresponding index when applied to no arguments sapply(funcs, function(func) func()) # supposed to return c(1,2,3,4,5) there is absolutely nothing unusual in this code, in the context of functional programming. the following is my best translation to python (modulo indexing, which is inessential), where it does what i wanted: funcs = map(lambda i: lambda: i, range(5)) map(lambda func: func(), funcs) # [0,1,2,3,4] all these functions have distinct environments: (envs = sapply(funcs, function(func) environment(func))) assign("i", 0, environment(envs[[1]])) sapply(funcs, functi...

Dear R-ers, While browsing the R sources, I found the following piece of code in src\main\memory.c: static void reset_pp_stack(void *data) { R_size_t *poldpps = data; R_PPStackSize = *poldpps; } To me, it looks like the poldpps pointer is a nuissance; can't you just cast the data pointer and derefer it at once? Say, static void reset_pp_stack(void *data) { R_PPStackSize = *

...th the functions include more than the usual amount of detail. This version features 1) a full vignette called "rockchalk" that illustrates many of the functions in the package. The vignette includes an explanation of why mean-centering and residual-centering do not help with the "inessential multicollinearity" problem that concerns users of regression models in which there are interactions or squared terms. 2) a function "summarize" that is intended to remedy some of the shortcomings I perceive in R's summary function. The package is not coordinated with any part...

...th the functions include more than the usual amount of detail. This version features 1) a full vignette called "rockchalk" that illustrates many of the functions in the package. The vignette includes an explanation of why mean-centering and residual-centering do not help with the "inessential multicollinearity" problem that concerns users of regression models in which there are interactions or squared terms. 2) a function "summarize" that is intended to remedy some of the shortcomings I perceive in R's summary function. The package is not coordinated with any part...

Hi all, My apologies for the confusion ... but I am re-naming this thread again because the proposal doesn't come from Ambisonia. As the founder of Ambisonia I have only been 'mediating' between some members of the ambisonic community ... so it would be wrong to associate the spec with Ambisonia. To clarify. This is what the spec proposes: - that Mapping = 1 means the contents are

...eir streaming servers and for tuning the FreeBSD kernel heavily for that purpose. > A business is in existence to > make money for its owners not dick around with esoteric computer > theory and practice. I?m not glorifying change for its own sake. I?m just saying it happens, and however inessential it may be to your business? operations is really not on-point. The fact is that it happens everywhere in this industry, so your only choice is in which bag of changes you want to deal with, not whether you get a bag of changes. > The idea that one has to rebuild from scratch entire host syst...

Hello, I have installed cups on a linux server (running with RH 9.0). When executing "cupsaddsmb -a -v", I get an error: NT_STATUS_UNSUCCESSFULL, when attemping to execute adddriver". Can someone help on the meaning of this error, and on its reason (cause) ? Please find hereafter a file with result (and the error) of this commmand "cupsaddsmb", for a printer:

On 15 Jun 2004 at 13:52, Vito Muggeo wrote: > Dear Petr, > Probably I don't understand exactly what you are looking for. > > However your "plot(x,c(y,z))" suggests a broken-line model for the > response "c(y,x)" versus the variables x. Therefore you could estimate > a segmented model to obtain (different) slope (and breakpoint) > estimates. See

On Wed, April 19, 2017 16:22, Chris Murphy wrote: > > Apple has had massively disruptive changes on OS X and iOS. Windows > has had a fairly disruptive set of changes in Windows 10. About the > only things that don't change are industrial OS's. > I have no idea how this reference applies to my earlier post. We do not use Apple or Windows servers and the desktop