similar to: How to convert numbers to words?

http://us4.samba.org/samba/docs/SambaIntro.html Through his E'mail contacts, Andrew discovered that NetBIOS and SMB were actually (though nominally) documented. With this new information at his fingertips he set to work again, but soon ran into another problem. He was contacted by a company claiming trademark on the name that he had chosen for his server software. Rather than cause a fuss,

I'm seeing the following errors on my SAMBA printserver in the winbindd log : [2005/03/03 14:56:53, 3, pid=3736] nsswitch/winbindd_user.c:winbindd_getpwuid(225) [24610]: getpwuid 10140 [2005/03/03 14:56:53, 3, pid=3736] nsswitch/winbindd_user.c:winbindd_getpwuid(225) [29198]: getpwuid 10266 [2005/03/03 14:56:54, 3, pid=3736] nsswitch/winbindd_misc.c:winbindd_ping(238) [ 6364]: ping

grDevices::convertColor has arguments 'from' and 'to' which can take on value 'XYZ'. Can someone confirm that 'XYZ' is the same as the CIE chromaticity coordinates that are also sometimes refered to as 'xyY' in the literature? Or are these the CIE tristimulus values? It looks to me like the first case is true, but I would appreciate hearing from one of

Hi, I would have thought that these two constructions would produce the same result but they do not. Resp <- rbinom(10, 1, 0.5) Stim <- rep(0:1, 5) mm <- model.matrix(~ Stim) Xb <- mm %*% c(0, 1) ifelse(Resp, log(pnorm(Xb)), log(1 - pnorm(Xb))) pnorm(as.vector(Xb), lower.tail = Resp, log.p = TRUE) > ifelse(Resp, log(pnorm(Xb)), log(1 - pnorm(Xb))) [1] -0.6931472 -1.8410216

Has anyone plotted or is it possible to plot CIE *xy* chromaticity diagram http://en.wikipedia.org/wiki/File:CIE1931xy_blank.svg I need this plot in color. ishida [[alternative HTML version deleted]]

All, I am using a sum of squared differences in the objective function of an optimization problem I am doing and I have managed to speed it up using the outer function versus the nested for loops, but my suspicion is that the calculation could be done even quicker. Please see the code below for a simple example. If anyone can point out a faster way I would appreciate it greatly. Thanks, Roger

On Sat, Jan 28, 2023 at 2:49 PM Kenneth Knoblauch <ken.knoblauch at inserm.fr> wrote: > > Hi, > > I'm struggling to find if there is a simple way to make the lines and points overlap in a legend for a lattice plot using auto.key. Here is a toy example of what doesn't work (for me) as the lines and points are adjacent rather than overlapping: > > library(lattice)

Hi, I was taken off guard by the following behavior in a lattice plot. I frequently want to add a predicted curve defined at more points than in the formula expression of xyplot. There have been numerous examples of how to do this on r-help, but I still often struggle to make this work. I just realized that specifying one of the axes on a log scale does not guarantee that the added data for a

Dear R experts, Did someone implemented French Curve yet? Or can anyone point me some papers that I can follow to implement it? thanks in advance for your help. Paul

Hi, I'm struggling to find if there is a simple way to make the lines and points overlap in a legend for a lattice plot using auto.key. ?Here is a toy example of what doesn't work (for me) as the lines and points are adjacent rather than overlapping: library(lattice) d <- data.frame(x = 1:2, y = 1:4, f = factor(letters[1:2])) xyplot(y ~ x, d, groups = f, type = "b",? pch =

Hello all We have two very important workstations dedicated to tasks of development and investigation. At the moment we have installed a dual boot platform with CentOS 4.0 and Windows XP Proffessional SP2. In order to do backups of these machines we need to create an image with Norton Ghost 2003. We have worked with Ghost during several years with different platforms (Red Hat, White Box Linux,

hi,R users, Now I have some scatter figures, is there some method can plot equalprobable error ellipse ? -- TANG Jie Email: totangjie@gmail.com Tel: 0086-2154896104 Shanghai Typhoon Institute,China [[alternative HTML version deleted]]

I've never seen anything written about multiple comparisons, as in the multcomp package or with TukeyHSD, but using a glm. Do such procedures exist? Are they sensible? Are there any packages in R that implement such comparisons? Thank you. -- Ken Knoblauch Inserm U371 Cerveau et Vision 18 avenue du Doyen Lepine 69675 Bron cedex France Tel: +33 (0)4 72 91 34 77 Fax: +33 (0)4 72 91 34 61

Hi! Is it possible to easily cut & paste data from an Excel spreadsheet to an R edit( ) grid or to variable? It seems that R cannot handle the cell delimiters Excel hands over. Regards, Werner

I'm using scan in a script to record a series of responses of the user as a function of some graphs that I put up on the screen. A toy version would be, y <- rep(NA, 3) for (ix in seq( length(y) ) ) { y[ix] <- scan( n = 1 ) } However, if I include any code after this loop, for example, y <- rep(NA, 3) for (ix in seq( length(y) ) ) { y[ix] <- scan( n = 1 ) } y I get an error

Hi folks, I'm experiencing some problems with sound through phpAGI ... What I'm trying to do is a menu, doing some database lookups and so ... But sometimes the sound become too choppy ... just sometimes .. like 1 of 5 calls ... but is a big percentage ... And I have my current menu on the dialplan that I have no problems with it ... I'm using .gsm for both but different

I'm having a problem with dotted lines (lty = 3) in the pdf output in documents generated with Sweave. In the displayed pdf, the dotted line does not show up and in the printed output, it is there but does not seem to respect the lwd argument, for example, it is very faint despite using lwd = 3. The dotted line is correct in a quartz window and if I save the Quartz window to a pdf and

Hi there are some predefined self-start functions, like SSmicmen, SSbiexp, SSasymp, SSasympOff, SSasympOrig, SSgompertz, SSflp, SSlogis, SSweibull, Quadratic, Qubic, SSexp (nlrwr) Btw, do you know graphic examples for this functions? The SSexpDecay (exponential decay) for y = (y0 - plateau)*exp(-k*x) + plateau from

The new strcapture function in R-devel is handy, capturing the matches to the parenthesized subpatterns in a regular expression in the columns of a data.frame, whose column names and classes are given by the 'proto' argument. E.g., > p1 <- data.frame(Name="", Number=0) > str(strcapture("([[:alpha:]]*) +([[:digit:]]*)", c("Three 3", "Twenty

Your response nicely clarifies a question that I've had for a long time, but which I've dealt with by giving each subject a unique label. Unless I'm missing something, both techniques should work as the toy example below gives exactly the same output in all 3 cases below (forgetting about the convergence problem). Would there be a reason to prefer labeling the levels one way or