search for: cornsilk

...can't get the greek letter theta to appear in the heading. Is this possible? I can get nontext for the xlab and ylab pretty easily. Thanks, Jason Below is my code. Currently it just writes out "theta." function (theta) { layout(matrix(c(1:4),2,2,byrow=TRUE)) par(bg = "cornsilk") n <- c(1,10,25,50) for(i in 1:4) { xbar <- rep(0, 1000) for (j in 1:1000) xbar[j] <- mean(rexp(n[i], rate = 1/theta)) heading <- paste("Exp w/ theta =", theta, ", n = ", n[i]) hist(xbar, prob = TRUE, breaks = "FD", ma...

...give me an advice? Here is the code: opar <- par(ask = interactive() && (.Device == "X11" || .Device == "windows")) # For source #pictex(file = "graf.tex", bg = "white", fg = "black", width = 4, height = 4, debug = FALSE) par(bg="cornsilk") n <- 2 g <- c(452, 395, 317, 254, 202) x <- c(590, 497, 414, 326, 276) boxplot(g,x,horizontal=T) title(main="Gross weekly earnings", ylab="Pounds", font.main=4, font.lab=1) #dev.off() Thanks __________________________________________________ Everything yo...

Dear ggplot2 users, is there an easy/elegant way to suppress zero count bars in histograms with logarithmic y axis ? One (made up) example would be qplot(exp(rnorm(1000))) + geom_histogram(colour = "cornsilk", fill = "darkblue") + scale_x_sqrt() + scale_y_log10() Thanks! Markus [[alternative HTML version deleted]]

...got: library(ggplot2) p <- qplot(total_bill, tip, data = tips) NewPlot<- p + geom_abline(slope=c(0.1,0.15,0.2), colour=c("red","blue","yellow"),size=c(2,5,2)) NewPlot + geom_smooth(colour="green", size=3,linetype=3) NewPlot$background.fill<-"cornsilk" NewPlot$background.colour <- "blue" NewPlot$axis.colour<-"red" ????? it doesn't do it Thanks Felipe D. Carrillo Fishery Biologist US Fish & Wildlife Service Red Bluff, California 96080 _______________________________________________________...

bgColor="cornsilk"<BR> <BR>width="95%" bgColor="darkgreen" <DIV><FONT style="FONT-SIZE: 2px" size=1>&#xAD;</FONT></DIV><DIV><FONT style="FONT-SIZE: 3px" size=1>&#xAD;</FONT></DIV> bgColor=&quo...

...6, 0.16, 0.04, 0.12) > names(pie.sales) <- c("Blueberry", "Cherry", "Apple", "Boston Cream", "Other", "Vanilla Cream") > piechart(pie.sales, col = c("purple", "violetred1", "green3", "cornsilk", "cyan", "white")) Hit <Return> to see next plot: /usr/lib/R/bin/R.bin: error while loading shared libraries: /usr/lib/R/bin/R.bin: symbol __sysconf, version GLIBC_2.2 not defined in file libc.so.6 with link time reference [dani@PLUTO amopt_sim]$ -.-.-....

Hi, I''m trying to use RailsCron but keeping getting an error when I try to run it. I''m a beginner, so please use small words :) -bash-2.05b$ rake cron_start (in /home/jake/rails_sites/testsite) Syntax error: "&" unexpected The little bit I know about my environment: - RailsCron installed as a plug in (not gem, cause I''m on a shared host) - Debian Linux

...quot;) #for titles such as 'main', 'sub', 'xlab' and 'ylab' Here is the example: bwplot(school.name~score|assessment+course_code, data=temp2.stack, plot.points=FALSE, drop.unused.levels=TRUE, panel=function(..., box.ratio, varwidth) { panel.violin(..., col="cornsilk", varwidth=FALSE, box.ratio=box.ratio) panel.bwplot(..., box.ratio=0.1) }, layout=c(2,3,1), par.strip.text=list(fontfamily="HersheySans"), scales=list(alternating=1, tck=c(1,0), fontfamily="HersheySans", x=list(relation="same", cex=0.7, rot=90), y=list...

...lage of Lake Isabella","Rosebush") # Set plot limits: xmax <- nrow(test) nvec <- ncol(test) ymax <- ceiling(max(test)) yinc <- 1 # Generate Pareto order test <- test[order(test[,1],decreasing=TRUE),] # Set color palette MyCols <- rep(c("lightcyan","cornsilk","lavender"), each = xmax) # Adjust the margins par(mar = c(7, 5, 6, 3)) # Bar graph mp <- barplot(test, beside = TRUE, col = MyCols, axisnames = FALSE, names.arg = rep(names(test),nvec), las = 2, cex.names = 0.75, ylab = "IXYV", ylim = c(0,...

Hello, I have multiple data files. Each file contains a single column and 1.5 million rows. I want to create normalized pdfs (area under curve is 1) and histograms to compare with one another. Could anybody suggest if there exists an easy way or built in function in R. At present I am using Origin and Excel together to do this. A single file needs 10 minutes and I have a total of 929 files! So

...Map of Maunga Whau", font = 4) > title(xlab = "Meters North", ylab = "Meters West", font = 3) > mtext("10 Meter Contour Spacing", side = 3, line = 0.35, outer = FALSE, at = mean(par("usr")[1:2]), cex = 0.7, font = 3) > par(bg = "cornsilk") > coplot(lat ~ long | depth, data = quakes, pch = 21, bg = "green3") press<return>for next graphic: > par(opar)" Thanks to your advice, I can display graphics correctly. And I am waiting for your further advice or suggestion to dealing with my problems. Th...

Hi R newbie here :) I need to plot 3 barplots in the same axis, something like | | _ _ _ | | | _ | | _ | | _ | _ | || | _ | || | _ | || | | | || || | | || || | | || || | -+----------------------------------------- | v1 v2 v3 Is there any documentation describing how to achieve that, and

I'd like to insert always after 3 bars a small mark, so the groups of three can be distinguished easier. Thanks for your help! David --

Hello, I am a new user of R, so I still have some basic difficulties. I'm trying to create a bar graph completely from reading a file. The idea was on the x axis have the columns of the table Married ,Single,Divorced, widower the legend Ages 18-34 35-45 46-64 65-69 70-74 the dataset dataset Ages Married Single Divorced widower 1 18-34 10.5 35.7 8.5 3.2 2 35-45

...;- 10*1:ncol(volcano) l <- pretty(range(volcano), 10) ! par(bg="lightcyan") pin <- par("pin") xdelta <- diff(range(x)) ydelta <- diff(range(y)) *************** mtext("10 Meter Contour Spacing", side=3 *** 141,144 **** --- 142,146 ---- par(bg="cornsilk") data(quakes) coplot(long~lat|depth, data=quakes, pch=21, bg="green3") + par(opar) *** demos/graphics/image.orig Sat Jul 26 10:40:07 1997 --- demos/graphics/image Sat Jul 26 10:41:46 1997 *************** *** 1,4 **** --- 1,7 ---- #### -*- R -*- + + opar <- par(ask = int...

Dear R experts: Can you help me to overlap a histogram and theoretical density curve of poison distribution? for example data like this: The numbers of sanils found in each of 100 sampling quadrats in an area were as follows: number of snails, r 0 1 2 3 4 5 8 15 f=frequency of r 69 18 7 2 1 1 1 1 apparently this is not Poison but near to Poison, How to overlap the theoretical desity curve to

Hello, I get a nice looking barplot using the barplot2 function in the gregmisc package: body2 <- barplot2(hh3, beside = TRUE, col = c("mistyrose", "lightcyan"), .... cex.names = 1.0, plot.ci = TRUE, ci.l = cil, ci.u = ciu, plot.grid = TRUE) box() However, obviously I lose the collors when converting from ps to a pdf (outside of R)

Hello, Does anyone know how to write the files created by the call of "texi2dvi" in another directory ? Thanks, Matthieu

...mes,IQR_stats$stats) png(paste("/export/MACS370_project/Image/SysVUserTime/user_time_box",systems[iter],"by",QUERY_DATE,".png",sep=""),height=1000,width=1000) if(BOXPLOTS==TRUE && PLOTTING==TRUE) { par(bg="cornsilk",new=T) print("Boxplot...") boxplot(split(userTime[,2],as.Date(dates(userTime[,1]))),style="tukey",main=paste("Plot of userTime as a percentage of totalTime\nSystem",systemNum[iter],sep=""),xlim=as.Date(dates(range(userTim...

I'd greatly appreciate your help in making a bar graph with multiple variables plotted on it. All the help sites I've seen so far only plot 1 variable on the y-axis Data set: I have 6 sites, each measured 5 times over the past year. During each sampling time, I counted the occurrences of different benthic components (coral, dead coral, sand, etc.) over 5 transects in each site site