similar to: ggplot2: positioning legend on top of plot

Hi, I want to remove minor-horizontal and minor-vertical lines from a plot generated with ggplot2. I can do this after the plot has been drawn using grid.gremove. However, I would like to do it before drawing my plot. The ggplot2 book refers to a ggplotGrob function which creates a grob from a plot but this function doesn't seem to exist in ggplot2 0.6. Is there another way to do it?

Hi, Is there a way of annotating a ggplot plot with mathematical formulae? I can do geom_text(aes(label="some text", ... but I can't do geom_text(aes(label=expression(x^{n-1}), ... It gives the error Error: geom_text requires the following missing aesthetics: label Is there a convenient equivalent? Cheers, Paul

Searching the mail archives I found that using legend.position as in p.ring.3 + opts(legend.position="top") is a known bug. I tried doing p.ring.3 + opts(legend.position=c(0.8, 0.2)) which works, but the legend background is transparent, i.e. I see the plot background through the legend. Adding additional option opts(legend.background=theme_rect(fill=TRUE,colour="white"))

Hi Hadley and everyone, here's a patch for ggplot2 that fixes the behavior of opts(legend.position={left,top,bottom}). If you try the following code in an unmodified ggplot2 options(warn = -1) suppressPackageStartupMessages(library("ggplot2")) data <- data.frame( x = c(1, 2, 3, 4, 5, 6), y = c(2, 3, 4, 3, 4, 5), colour = c(TRUE, TRUE, TRUE, FALSE, FALSE, FALSE))

  Thanks again for the hints about adding the vertical line to the hist plot and in ggplot.  That worked great.    Based on that advice I've been flipping through the ggplot2 doc and ggplot-static\index.html webpage more looking for the answer to the next question.    Unfortunately, I haven't stumbled on a description of how to move around the location of the legend.    Here is what I

I'm trying to overlay two histograms using transparency to enable viewing of multiple distributions on a single scale. So far ggplot2 seems to do what I want. However I'm having a problem generating the legend coloring appropriate to each distribution in the plot. Here is a test case to show my best (failed) effort so far: library(ggplot2) x <- data.frame(X=rnorm(1000, mean=0)) y

How do I reverse the order of the legend in a bar plot to match order of the x-axis? In other words, I want the stacked colors of the legend to match the stacked colors of the bar plot. I tried this, but it didn't work. colors <- c("5" = "red","4" = "blue","3" = "darkgreen") p <- qplot(factor(cyl), data=mtcars,

Dear useRs, I'm struggling with the new version of ggplot2. In the previous version I did something like this. But now this yield an error (object "fill" not found). library(ggplot2) dummy <- data.frame(x = rep(1:10, 4), group = gl(4, 10)) dummy$y <- dummy$x * rnorm(4)[dummy$group] + 5 * rnorm(4)[dummy$group] dummy$min <- dummy$y - 5 dummy$max <- dummy$y + 5 ggplot(data

I am trying to specify a legend title to be other than the variable name, but I find that the legend splits because scale_shape() takes effect but scale_colour() does not. Can someone spot my error? Here's some toy code that produces the problem on my system (R2.8.1, windows, today's CRAN package updates): library(ggplot2) a <- sample(letters[1:5],100,replace=T) b <-

Hi all, I am trying to do a barplot in ggplot2 and want to make sure that the legend order is consistent with the bar order, that is the legend order is orig and match; and the bars are ordered in the same way. It seems to me that I can only control one of them. Any idea? library(ggplot2) df <- data.frame(value = rnorm(20), name = factor(rep(letters[1:10], 2), levels =

In ggplot2 how do you justify the legend text ? In the example below the opts(legend.text = theme_text(size = 9,hjust=0)) changes the size of the text OK but it remains right justified. > mydata=data.frame(RowID=c("A","B","C"),Name=c("long long long long long name","short name ","medium medium name"),Speed=c(100,140,120)) >

Dear all, The following example code produces a graph with ggplot2, to which I add several vertical lines of arbitrary colors. I am not satisfied with the legend: it automatically adds some vertical lines which I'd rather not see (they confuse the reader rather than add information in this case). > library(ggplot2) > dfr <- data.frame(values = sin(1:50/10), > fact =

When I am using geom_bar I get these white slashes through the legend keys. I cannot figure out how to remove them. ggplot(diamonds, aes(clarity, fill=cut)) + geom_bar() I have tried using opts(legend.key = theme_blank()) but with no luck. Any suggestions would be much appreciated. I am using R vers. 2.15.0 and ggplot 0.9.1, win xp Best wishes Jonas Hal

I just found out that this message got scrambled with other threads, so I trying to re-send... Dear R'ers, I am trying to build a composite plot (with several plots in one figure). I have tried, but I cannot use facetting, as I need to customize each plot using grid. Since all the plots are the same (with different data, but same layout and categories), I would like to have only one legend,

Hello, I have just ordered the "ggplot2: Elegant Graphics for Data Analysis (Use R)" but while it arrives :) can anyone please show me how to setup and add a simple legend to a ggplot? This is my use case, I need a legend showing CI "Classic", "Own bootstrap", "R bootstrap": library(ggplot2) e <- 1 p <- 1 x <- 1:S y <- rep(betas[p],S) data

I just glanced at the problem but I think you would have to create a new variable to replace the hline. What about adding some text annotation in the graph instead? On Tuesday, September 26, 2017, 3:51:46 PM EDT, David Doyle <kydaviddoyle at gmail.com> wrote: Hello everyone, I have a plot showing chloride concentrations for various point over time. I also have a dotted line that

Hello everyone, I have a plot showing chloride concentrations for various point over time. I also have a dotted line that show the Secondary Maximum Contaminant Level (my screening limit) on the graphs at 250 mg/L. But I can not figure out how to include the dotted line / Secondary Maximum Contaminant Level in the legend. Any thoughts? My code is as following and is linked to my data on the

Hello fellow R's, I?ve been learning to use the ggplot2 library, and after a full day of work I still have a couple of basic questions. Here is an example: mydata=data.frame(x=runif(20),y=runif(20),n=runif(20)) mydata2=data.frame(x=c(0.4,0.6,0.5),y=c(0.4,0.4,0.6)) ggplot(mydata, aes(x, y)) + geom_point(aes(size = n)) + geom_polygon(data=mydata2,aes(x,y,alpha=0.5)) In this plot, the

Dear list (probably Hadley), I'm trying to do a plot like the following, composed of bars and error bars: df <- data.frame(factor1=gl(2,5), factor2=gl(5,1), y=rnorm(10), err=0.1) ggplot(df, aes(x=factor1, y=y, fill=factor2)) + geom_bar(position="dodge", stat="identity") + geom_errorbar(aes(min=y-err, max=y+err), position="dodge", width=0.1) The

Hello, I am trying to add a less than equal to symbol in a ggplot2 legend text. See sample code below. I have tried using the expression function and \u2264. I also tried adding labels to legend.text under theme. Neither of these 3 options work. Please help, Mahesh ++++++++++++++ Extra.column=ifelse(data[,covariate]>cutpoint,1,0) Grp1 <- "\u2264 1.5" Grp2 <-