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...p 23 17:32:41 mail deliver(some.user): cmusieve: Using sieve path: /home//some.user/sieve/dovecot.sieve Sep 23 17:32:41 mail deliver(some.user): cmusieve: Executing script /home//some.user/sieve/dovecot.sievec Sep 23 17:32:41 mail deliver(some.user): msgid=<72817c95458dbded987b82ec644f7dce at red2.co.uk>: rejectedReturn-Path: <andre.rodier at red2.co.uk> Here the headers of an email received, and supposed to be auto answered. X-Original-To: some.user at red2.co.uk Delivered-To: some.user at localhost Received: from webmail.red2.co.uk (webmail.red2.co.uk [84.45.46.48]) by...

...to logon using any imap client: Mar 31 09:33:07 titan dovecot: imap-login: Login: user=, method=PLAIN, rip=127.0.0.1, lip=127.0.0.1, secured Mar 31 09:33:07 titan dovecot: dovecot: Fatal: chdir(/home/emails/team/arodier/) failed: Permission denied (euid=1003(arodier) egid=1001(red2team) missing +x perm: /home/emails) Mar 31 09:33:07 titan dovecot: dovecot: child 5089 (imap) returned error 89 (Fatal failure) However, if I just login on a console for the user "/arodier/", I see that I have received a ticket, and I can see it with klist: Credentials cach...

...- ts(data.nemr.e3[,3]) z1.n.e3 <- zoo(ts1.n.e3, x.date) plot(z1.n.e3, ylim = c(min(data.nemr.e3[,3]), max(data.nemr.e3[,5])), col="orange", main = "Monthly variations of SST in El-Nino3", xlab = "Year", ylab="SST (deg C)") lines(z2.n.e3, lty = 2, col="red2") lines(z3.n.e3, lty = 3, col="maroon3", lwd=1) legend(-0.1, -0.1, legend=c("min", "mean", "max"), lty=c(1,2,3), col=c("orange", "red2", "maroon3")) attached is my plot!?suggestions are welcome! thanks in advance! -- Regar...

Dear all, Could anyone help me with the following? DATA <- data.frame(rbind(c("Red1", 1, 1, 1), c("Blue1", 1, 1, 1), c("Red2", 1, 1, 1), c("Red3", 1, 1, 1))) colnames(DATA) <- c("A", "B","C", "D") #Option 1 DATA <- DATA[-2, ] #Same result I would like to achieve with Option 2 #Option 2 - I would like to do it in this way. Do you know how it could be done? #DA...

...,16,2)),1),round(abs(rnorm(5,4,2)),1),round(abs(rnorm(5,7,2)),1)), z=c(round(abs(rnorm(5,7,2)),1),round(abs(rnorm(5,12,2)),1), round(abs(rnorm(5,16,1)),1),round(abs(rnorm(5,6,2)),1),round(abs(rnorm(5,17,2)),1)), dotcol=c(rep('red2',5),rep('green2',5),rep('blue2',5),rep('yellow1',5),rep('purple2',5)) ) #this call doesn't show the right colors--why? plot3d(clusset, xlim=c(0,25), ylim=c(0,25), zlim=c(0,25),xlab='',ylab='',zlab='', col=clusse...

...ot;", yaxt="n",type="p", pch=1,lwd=0.95, cex.lab=1.4, cex.axis=1.2, font.axis=2, cex=1.5, las=1, bty="l", col=c("forestgreen", "darkgreen","chocolate1","darkorange2","sienna2", "red2","firebrick3", "saddlebrown","coral4","chocolate4","darkblue","navy","grey38")[obs.group])) op = par(mar = c(5,5,4,2) + 0.1) title(ylab = "Distance between Centers of B and NB Range (1000 km)", cex.lab =...

...Thank you. code package (lattice) dataN <- data.frame(GE_distance=rnorm(260), Diet_B=factor(rep(1:13, each=20))) Diet.colors <- c("forestgreen", "darkgreen","chocolate1","darkorange2", "sienna2","red2","firebrick3","saddlebrown","coral4", "chocolate4","darkblue","navy","grey38") levels(dataN$Diet_B) <- Diet.colors bwplot(GE_distance ~ Diet_B, data=dataN, xlab=list("Diet of Breeding Grou...

....2.1/stdtime' make[1]: *** No rule to make target `/usr/lib/gcc/i386-redhat-linux/3.4.2/include/stddef.h', needed by `localtime.o'. Stop. make[1]: Leaving directory `/usr/src/asterisk-1.2.1/stdtime' make: *** [stdtime/libtime.a] Error 2 and when I try to update from binary: [root@red2 ~]# rpm -Uvh asterisk-1.2.1-15.rhfc3.at.i386.rpm warning: asterisk-1.2.1-15.rhfc3.at.i386.rpm: V3 DSA signature: NOKEY, key ID 66534c2b error: Failed dependencies: libpri.so.1 is needed by asterisk-1.2.1-15.rhfc3.at.i386 libspandsp.so.0 is needed by asterisk-1.2.1-15.rhfc3.at.i386...

...;- seq(1, length(tab), 3) labs <- format(time(tab), fmt) axis(1, at = time(tab)[ix], lab = labs[ix], tcl = -0.7, cex.axis = 0.9) } } plot.zoo(tab, plot.type="single", panel=my.panel, lty=c(1,2,3,4,5,1), lwd=c(8,2,2,2,2,8), col=c("darkorange", "red2","darkblue","darkblue","green","midnightblue"), xlab=" ",ylab = "euro/MWh",xaxt="n") #################################################################### This code produces a graph with a non-decimal x-axis bu...

...have both shared and public folders working, on a NFS share. indexes are stored locally, as well as per user flags. Sive is also working :-) Now, I'd like to restrict sharing by domain, and for this, to use the "%d" variable When I authenticate, for instance using arodier at red2team, the authentication works. However, the "%d" variable is still empty, when I'd like it to contains "red2team" Here my config: -------------------------------------------------------------- # 1.2.15: /etc/dovecot/dovecot.conf # OS: Linux 2.6.32-5-amd64 x86_64 De...

...se numbers as colours on the map so each state had the appropriate colour. This was the code: x<-read.shape("NGADMIN2.SHP") xpolys<-Map2poly(x) coverage<-read.table("coveragemar08.txt",header=T) colour1<-coverage[,2] palette(c("red4","red3","red2","orangered","orange","gold1","yellow","white")) plot(xpolys, axes=F, colour1) I've now come back to using this and discovered that some of these functions are no longer in use. I've figured out how to change most of it and now have th...

...ut dataN <-read.csv("H:/R_data/Mig_bird_586.csv",header=T, row.names=1) dim(dataN) dataN[1,] str(dataN) diet.code <- c("Herbivore", "Omnivore", "Carnivore") Diet.colors <- c("forestgreen", "darkblue","red2") levels(dataN$Diet) <- diet.code # graph par(mai=c(1.03,1.03,0.4,0.4)) par(new=T) xyplot(GE_distance~Diet, data=dataN, xlab=list("Diet of Breeding Ground", cex = 1.4), ylab=list("Migration Distance",cex = 1.4), xaxt="n",...

...could not make the dot in the same group show the same color. Please kindly advise how to modify it. Thank you. code library (lattice) diet.code <- c("Herbivore", "Omnivore", "Carnivore") Diet.colors <- c("forestgreen", "darkblue","red2") levels(dataN$Diet) <- diet.code # graph par(mai=c(1.03,1.03,0.4,0.4)) par(new=T) xyplot(GE_distance~Diet, data=dataN, xlab=list("Diet of Breeding Ground", cex = 1.4), ylab=list("Migration Distance",cex = 1.4), xaxt="n",...

...odes) 6. Check whether the transformation was valid Especially the possibility to analyze the correctness after the transformation was applied could significantly reduce the amount of code needed to verify the correctness. A transformation like loop fusion could look like: void applyFuse(Red1, Red2) { // Assume Red1 and Red2 are consecutive sibling loops // Bail out on untypical things (atomic accesses, exceptions, convergent instructions, ...) if (!Red1->isSimple() || !Red2->isSimple()) return; // Consistency checks (can be less less strict by moving conditions into the...

...para gente que nunca vio R, álgebra ni cálculos con matrices. El siguiente código, muy primitivo, tiene una idea de cómo visualmente sería entendible. M3<-matrix(sample(0:4,25,replace=TRUE),nrow=5) M3 colors<-c("0"="red","1"="red1","2"="red2","3"="red3","4"="red4") image(1:nrow(M3),1:ncol(M3),M3,col=colors) Supongamos que la matríz de este ejemplo M3 es X, en X?X se me deberían formar los colores. ¿Alguien vio un ejemplo o tiene una idea? Gracias.

Hello, I currently have a setup on my system with what I call "magic folders" to enable spam filter training. Here's how it works: 1. If you have a false-negative, put the spam into the Spam.Report folder 2. If you have a false-positive (which has all kinds of ugly spamassassin protective markup in it), put the message into the Spam.NotSpam folder

Hi! I am new to R just 3 days in it and i apologize if my questions seem very trivial and consumed your valuable time. I am coding in perl and i stumbled upon R regarding plotting good statistical graphs. I tried the kmean clustering for a large matrix ,say > 150 * 150 . I tried the example code given in the tutorial to perform 2d plot # i ranges from 2 to 10 cl <- kmeans(x, i, 20)

...ngth, xlab="Skin Color", ylab="Body Lenght", xaxt="n", type="p", pch=1,lwd=2.0, cex.lab=1.4, cex.axis=1.2, font.axis=2, cex=1.5, las=1, bty="l", col=c("gray38","orange","red2")[obs.group]) [[alternative HTML version deleted]]

...ve purpose. Thank you. Elaine Code library(HH) # data input 1 (all data) dataN<-read.csv("H:/body_status.csv",header=T, row.names=1) dataN$sex <-factor(dataN$sex) dim(dataN) dataN[1,] str(dataN) sex.colors <- c("darkblue","red2") sex.code <- c("Boy", "Girl") levels(dataN$sex) <- sex.code # graph par(mai=c(1,1.03,0.4,0.4)) par(new=T) bwplot(body_length~body_weight, data=dataN, xlab=list("Body weight", cex = 1.4), ylab=list("Body length"...

...<option value=""0"">Red 1</option>" if controller.action_name == ''new'' %> <%= options_from_collection_for_select(@teams, "id", "number", @match_teams[0]) %> </select> <select name="Red[]" id="red2"> <%= "<option value=""0"">Red 2</option>" if controller.action_name == ''new'' %> <%= options_from_collection_for_select(@teams, "id", "number", @match_teams[1]) %> </select> <select name=&...