search for: mistyrose

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) but I get a single shaded pattern! Is it my choice of collors? Or the c...

...atrixtype", ylab="Fitness", ylim=c(20,100), subset=(model=="dyn"), col="lightblue", xaxt="n", whisklty=1) boxplot(fitness ~ matrix, data=data, boxwex=boxwex, at = 1:7, add=TRUE, subset=(model=="dl3"), col="mistyrose", xaxt="n", whisklty=1) boxplot(fitness ~ matrix, data=data, boxwex=boxwex, at=(1:7 + 0.2), add=TRUE, subset=(model=="dl4"), col="lightcyan", xaxt="n", whisklty=1) axis(1, 1:8-0.5, labels=FALSE) axis(1, 1:7, tck=FALSE, labels=levels(dat...

...c.uk/~huber/pub > > The code is here: > > > pdf(file=sprintf("test-%s.pdf", version$"svn rev"), width=4, height=4) > par(mai=par("mai")[rep(1:2,2)]) > x = seq(0, 10*pi, length=3000) > plot(x*cbind(sin(x),cos(x)), type="l", col="mistyrose", lwd=3) > > sink(textConnection("s", "w")) > options(width=40) > print(sessionInfo(), width=30) > sink() > > text(-30, 30-4*seq(along=s), s, adj=c(0,0.5), cex=0.7) > dev.off() > > > > and one of the differences between the resultin...

...standard errors bit   std.errors<-sqrt(var.table/n.table)   std.errors[is.na(std.errors)]<-0   biggest.value<-max(mean.table+std.errors) # Barchart plotting bit # COMMENTED OUT CODE bartable<-barplot(mean.table, beside=TRUE, ylim=c(0,biggest.value+1), col=c("lightblue", "mistyrose"))   bartable<-barplot(mean.table, beside=TRUE, ylim=c(0,biggest.value+1), col=c("lightblue", "mistyrose"), legend=rownames(mean.table)) # Error bars   errbar.width<-(max(bartable)-min(bartable))/50   for(i in 1:length(mean.table[,1])){     for(j in 1:length(mean.tabl...

I'm working with a genomic data-set with ~31k end-points and have performed an F-test across 5 groups for each end-point. The QA measurments on the individual micro-arrays all look good. One of the first things I do in my work-flow is take a look at the p-valued distribution. it is my understanding that, if the findings are due to chance alone, the p-value distribution should be uniform. In

...he individual plots within the lattice graph could look like this: # Example with confidence intervals and grid hh <- t(VADeaths)[, 5:1] mybarcol <- "gray20" ci.l <- hh * 0.85 ci.u <- hh * 1.15 mp <- barplot2(hh, beside = TRUE, col = c("lightblue", "mistyrose", "lightcyan", "lavender"), legend = colnames(VADeaths), ylim = c(0, 100), main = "Death Rates in Virginia", font.main = 4, sub = "Faked 95 percent error bars", col.sub = mybarcol, cex.names = 1.5, plo...

...f Structure" ylab="No. of Mutation Mapped to" title="SNPs Structures" barplot(zz,width = 4,names.arg= xx,axes = TRUE, axisnames = TRUE, main=title,xlab=xlab,ylab=ylab,ylim=c(0,1175),xlim=c(0,226),col = c(for (i in zz){if i>70 col= "lightblue" else col= "mistyrose")) i tried to get red of zero then plot it i want to color different result with different colors ? any body can help pleeeeaaaaaaasssseee thanks Nouf _________________________________________________________________ [[alternative HTML version deleted]]

...(y2007)<-vec_a;rownames(y2008)<-vec_a;rownames(y2009)<-vec_a; ysmax<-ceiling(max(colSums(y2007),colSums(y2008),colSums(y2009)))+1 ## Now, let's plot #### the combination of plots desired as a lattice plot col_choice=c("blue", "brown","lightgreen", "mistyrose") par(mfrow=c(1,3),mar=c(5,5,5,2)) barplot(y2007,col = col_choice, ????? beside=F,xlab="fac_b",ylab="y",main="year 2007", ????? font.axis=2,font.lab=2,cex.lab=1.5,cex.axis=1.2,ylim=c(0,ysmax)) legend(x=1,y=ysmax,legend=vec_a,fill = col_choice) barplot(y2008,col =...

Hi, a couple of simple graphics questions: 1. I have a little function that makes bar plots. Now I would like to limit the Y-axis outside this function (that means after calling the barplot() command) depending on the data to be plotted . Does anyone know how to do this ??? 2. When using barplot() and limiting the yAxis, R draws the bars below the x-axis. How can I avoid this problem ??

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

I am printing numbers onto horizontal bars in a bar plots, but I am finding it difficult to make the number always the right size. If there are more bars, the bars get narrower and the font is too big. I also find that if I change the size of the graph, the bars will get wider or narrower and the font stays about the same size. The result depends on whether I view the graph in X11 or in

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

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

...quot;, "#7B68EE", "mediumspringgreen","#00FA9A", "mediumturquoise", "#48D1CC", "mediumvioletred", "#C71585", "midnightblue", "#191970", "mintcream", "#F5FFFA", "mistyrose", "#FFE4E1", "mistyrose1", "#FFE4E1", "mistyrose2", "#EED5D2", "mistyrose3", "#CDB7B5", "mistyrose4", "#8B7D7B", "moccasin", "#FFE4B5", "navajowhite",...

...lo tienes en la función "barplot". >>> >>> ++++++++++++++++++ >>> hh <- t(VADeaths)[, 5:1] >>> mybarcol <- "gray20" >>> mp <- barplot(hh, beside = TRUE, >>> col = c("lightblue", "mistyrose", >>> "lightcyan", "lavender"), >>> legend = colnames(VADeaths), ylim= c(0,100), >>> main = "Death Rates in Virginia", font.main = 4, >>> sub = "Faked upper 2*sigm...