similar to: Missing tick marks bug on alpha solved

R-help, I'm using the code below to plot a shaded area graph. At the same time I want to plot a second series on the y-axis (from par(new=T) on) but as the two series have different x-axis range (first 1994:2007 and second 1996:2007) the corresponding x's do not match. How can this be sorted out? Thanks in advance ############################################# plot.new()

[Please keep r-help in the cc: list] I don't quite know how to interpret the difference between specifying effort as an offset vs. as weights; I would have to spend more time thinking about it/working through it than I have available at the moment. I don't know that specifying effort as weights is *wrong*, but I don't know that it's right or what it is doing: if I were

Hi all, I've taken preglows ARM versions of qmf_synth and iir_mem16 from rockboxes speex codec, and tweaked them a bit further for some more speed. I attach them here so you can review and take on any changes you want. Please let me know if you have questions etc. Thanks, Robin -- Robin Watts, Email: <mailto:Robin.Watts@wss.co.uk> Warm Silence Software, WWW:

Can someone explain why I am getting the following error: in the r code below? Error in solve.default(diag(2) + ((1/currvar) * (XX1 %*% t(XX1)))) : system is computationally singular: reciprocal condition number = 0 In addition: There were 50 or more warnings (use warnings() to see the first 50) The R code is part of a bigger program. ##sample from full conditional

Hi All, I am trying to convert the following piece of matlab code to R: XX1 = sum(w(:,ones(1,N1)).*X1.*X1,1); #square the elements of X1, weight it and repeat this vector N1 times XX2 = sum(w(:,ones(1,N2)).*X2.*X2,1); #square the elements of X2, weigh and repeat this vector N2 times X1X2 = (w(:,ones(1,N1)).*X1)'*X2; #get the weighted 'covariance'

R-users E-mail: r-help@r-project.org Hi! R-users. http://finzi.psych.upenn.edu/R/library/mvpart/html/xpred.rpart.html says: data(car.test.frame) fit <- rpart(Mileage ~ Weight, car.test.frame) xmat <- xpred.rpart(fit) xerr <- (xmat - car.test.frame$Mileage)^2 apply(xerr, 2, sum) # cross-validated error estimate # approx same result as rel. error from printcp(fit) apply(xerr, 2,

Hi, there are two problems in devX11.c. The one is an undocumented nuisance and the other isn't a bug until you try to embed an X11 device in another window (think tktoplevel() in tcltk package...). Let's take a look at locator() first: Assuming you call locator() with a current X11 device, this call is handled in X11_Locator (src/unix/X11/devX11.c). When you have one window open and

I am using the following script to make .jpg files. jpeg('plotx.jpg') ddat <-read.table("file",header=T) attach(ddat) tdat<-read.table("file1") plot(xx1,yy1,type='p',pch=1,col="blue",cex=0.2,xlim=c(0,3.5),ylim=c(-75,75)) points(tdat,col="green",pch=1,cex=0.2) dev.off() The problem is that I want the points to be very small;

I'm having problems with the iPhone client in the 1.1.1 version of the iPhone software. Things with other clients work fine, and the iPhone worked fine before it was upgraded to 1.1.1. Other phones on 1.1.1 failed. I'm still working on testing against the client with the iPhone 1.0.2 software on it. The problem is that the client simply doesn't connect to dovecot. I can see the

Hi there: I have this configuration: |-----[Server 2] | [Internet]--------[Router]----------[Switch]------------ [Server 1] | |-----[PC1] | |-----[PC2] | |-----[PC3] Server 1 has IP 216.251.XXX.XX1 Server 2 has IP 216.251.XXX.XX2 PC1 has IP 216.251.XXX.XX3 PC2 has IP 192.168.XXX.1 PC3 has IP 192.168.XXX.2 How do I configure shorewall in SERVER 2 to block to/from the Internet Port 22

Dear all, I am stumped at what should be a painfully easy task: predicting from an lm object. A toy example would be this: XX <- matrix(runif(8),ncol=2) yy <- runif(4) model <- lm(yy~XX) XX.pred <- data.frame(matrix(runif(6),ncol=2)) colnames(XX.pred) <- c("XX1","XX2") predict(model,newdata=XX.pred) I would have expected the last line to give me the

- Use MAC16_16 macros instead of (sum += a*b) and unroll a loop by 2. It increase performance when using optimized macros (ex: ARMv5E). A possible side effect of loop unroll is that i don't check for odd length here. - Add NEON version of FIR filter and autocorr -- Aur?lien Zanelli Parrot SA 174, quai de Jemmapes 75010 Paris France -------------- next part -------------- diff --git

Hi, all When I am using mle.cv(wle), I find a interesting problem: I can't do leave-one-out cross-validation with mle.cv(wle). I will illustrate the problem as following: > xx=matrix(rnorm(20*3),ncol=3) > bb=c(1,2,0) > yy=xx%*%bb+rnorm(20,0,0.001)+0 > summary(mle.cv(yy~xx,split=nrow(xx)-1,monte.carlo=2*nrow(xx),verbose=T), num.max=1)[[1]] mle.cv: dimension of the split subsample

Dear Rowland, Please find a dump of smb.conf and resolv.conf of my centos 7 server : # testparm Load smb config files from /etc/samba/smb.conf Loaded services file OK. Server role: ROLE_DOMAIN_MEMBER Press enter to see a dump of your service definitions # Global parameters [global] client min protocol = SMB2 client signing = required disable spoolss = Yes domain

Hi list, I try to connect to a GW which have one domain eg sip.mydomain.com and have few IPs related to this domain. I register * to this domain with host=sip.mydomain.com and type=user. So DNS will decide on which IP of my domain I will register (or redirection on the GW side). If an incoming call arrive, I would guess that, as type=user, it will not try to match the IP from INVITE as I

Hi, In preparation for a migration from maildir to mdbox, I am using dsync backup to do initial mailbox copies (at this point I do not want to risk any changes to the maildir). The initial run of dsync runs fine, but a second run to migrate any changes since the first run produces errors for many users. Here is an example of the type of error produced: > # dsync -u user backup mdbox:~/mdbox

Please ignore my previous mail and patch, there is a new version :). Patch changes are: - Use MAC16_16 macros instead of (sum += a*b) and unroll a loop by 2. It increase performance when using optimized macros (ex: ARMv5E). A possible side effect of loop unroll is that i don't check for odd length here. - Add NEON version of FIR filter and autocorr - Add a section in autoconf in order to

The R-1.2.1 builds have gone fairly smoothly on most of my UNIX architectures, but there were many warnings reported by the picky SGI compiler that could be eliminated in future releases. Generally, I have found the SGI compilers very helpful in ferreting out portability problems, unused and/or obsolete variables, unexpected datatype coercions, etc., and they compile faster than any other

Hi! I hope someone can help me with this one: We're using Macromedia Dreamweaver 3 to publish local files from a NT4 Server to our internet server running Redhat 7.3 / Samba 2.2.3a. Life could be so sweet but we're facing a strange problem: Users can't _overwrite_ files edited by other users. Everytime someone tries to overwrite such a file the message "An error occurred -

Hello, I have a specific problem, I have a large dataframe, and after clustering I want to select certain colums, the elements of a subcluster. My dataframe looks like this : > colnames(data) [1] "101KF4319097339" "102KF4319101170" "103KF4319047549" "104KF4319046389" [5] "105KF4319013260" "106KF4319025582"