search for: lightcyan

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 conversion software I am...

...atrix, 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(data[,2])) smartlegend(x="left", y="bottom", inset = 0.01, c("dyn","dl3","dl4"), fill = c("lightblue", "mistyros...

...ose color could remind the colour ol the columns it refers to in the plot. I wrote: leg.txt<-c("control people", "radiated ill people", "radiated healthy people", "pesticide exposed people") leg.col<-c("lightblue", "gray", "lightcyan","lavender") grA<-barplot(seqA, type = "h", col = c(colors),legend.text = c(leg.txt),main = " Number of breaks occured on cluster A bands on patients' sample", xlab = "patient ID", ylab = "breaks number") but I don't know how to a...

...data.frame(c(0.05,0.10,0.9),c(0.06,0.15,0.76)) rownames(ratios) <- c("T1","T2","T3") colnames(ratios) <- c("A1","A2") ratios <- as.matrix(ratios) myplot <- barplot2(ratios, beside = TRUE,col = c("blue", "green","lightcyan"),ylim = c(1,0.0001),log="y",plot.grid = TRUE, legend=rownames(ratios)) I would like the y axis to range from 1 to 0.0001 (decreasing and not written in scientific notation), and be on a log10 scale. In addition, how can I control the position of the legend. Thanks for your time!...

...llustrates some of the differences between # R and S graphics capabilities. Note that colors are generally specified *************** data("volcano") *** 115,121 **** x <- 10*1:nrow(volcano) y <- 10*1:ncol(volcano) l <- pretty(range(volcano), 10) ! opar <- par(bg="lightcyan") pin <- par("pin") xdelta <- diff(range(x)) ydelta <- diff(range(y)) --- 116,122 ---- x <- 10*1:nrow(volcano) y <- 10*1:ncol(volcano) l <- pretty(range(volcano), 10) ! par(bg="lightcyan") pin <- par("pin") xdelta <- diff(ra...

...raph 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, plot.ci = TRUE, ci.l = ci.l, ci.u = ci.u,...

...Valley","Village 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&q...

Is there anyway to make the lines in the dispersion command come forward in a plot and allow the fill in the dispersion parameter be transparent so all of the lines I am using to note confidence intervals are shown? ------------------------------------------- Joe King, M.A. Ph.D. Student University of Washington - Seattle 206-913-2912 jp@joepking.com

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 ??

...ose color could remind the colour ol the columns it refers to in the plot. I wrote: leg.txt<-c("control people", "radiated ill people", "radiated healthy people", "pesticide exposed people") leg.col<-c("lightblue", "gray", "lightcyan","lavender") grA<-barplot(seqA, type = "h", col = c(colors),legend.text = c(leg.txt),main = " Number of breaks occured on cluster A bands on patients' sample", xlab = "patient ID", ylab = "breaks number") but I don't know how to a...

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

Hello. I am an R newbie struggling to learn and use R . I have read many portions of the R Reference Manual, as well as the FAQs. Given that I learn something new each time, I know I might be missing something obvious. But I appeal to your good nature to help me through this initial problem. I have attached a pdf file to demonstrate what I desire and have listed what my data looks like in

..."lightblue", "#ADD8E6", "lightblue1", "#BFEFFF", "lightblue2", "#B2DFEE", "lightblue3", "#9AC0CD", "lightblue4", "#68838B", "lightcoral", "#F08080", "lightcyan", "#E0FFFF", "lightcyan1", "#E0FFFF", "lightcyan2", "#D1EEEE", "lightcyan3", "#B4CDCD", "lightcyan4", "#7A8B8B", "lightgoldenrod", "#EEDD82", "lightgoldenr...

...>>> ++++++++++++++++++ >>> 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*sigma error bars", col.sub = mybarcol, >>>...

..."turquoise", "orange", "lightpink", "lavender", "yellow", "lightgreen", "lightgrey", "lightblue", "darkkhaki", "darkmagenta", "darkolivegreen", "lightcyan", "darkorange", "darkorchid", "darkred", "darksalmon", "darkseagreen", "darkslateblue", "darkslategray", "darkslategrey", "darkturquoise", "darkviolet", &q...