similar to: ggplot2: coord_polar

I was wondering if anyone could help me with this, simple problem. I am essentially following the example on Hadley's webpage (http://had.co.nz/ggplot2/geom_errorbar.html), but it still doesn't make any sense to me. df <- data.frame(trt = factor(c("intact", "intact", "removed", "removed")), coon = c(0.093, 0.06, 0.057, 0.09), group =

I have observed the following differences in the use of min/max functions between R and Splus (4.5) R (0.64.1): min(c(NA,NA,NA),na.rm=T) returns the following Warning in min(..., na.rm = na.rm) : no finite arguments to min/max; returning extreme. [1] 2147483647 S-Plus 4.5( Win32 edition) min(c(NA,NA,NA),na.rm=T) returns [1] NA The S-PLUS behaviour seems to be the right one Thanks,

Hi, i'm using this lines of code: dodge <-position_dodge(width=0.9) ggplot(dfm,aes(x = X,y = value)) + geom_bar(aes(fill = variable), position=dodge, stat="identity") + geom_errorbar(aes(ymin=value-er, ymax=value+er),width=0.25, position=dodge,stat="identity") to plot this data frame X variable value er 1 A X4 58.74 9.44 2 B X4

Hi, I would like tranform a data.frame which has a structure similar to the: Col1 Col2 Col3 B1 1 0.3 B1 2 0.4 B1 3 0.3 B2 1 0.2 B2 2 0.2 B2 5 0.4 B2 6 0.1 B3 1 0.2 B3 2 0.1 B3 5 0.2 [Data Frame 1] Into the following structure (pivoting or transpose is being used sometimes to

Hi, I wonder whether the mechanism of parsing parameters to functions has changed between 0.63.1 and 0.63.3? The following code yeils different results in R 0.63.1 (Version 0.63.1 (Dec 5, 1998)) and R 0.63.3. cave<-function(x,a,b) { return(c(mean(x[a],na.rm=T),mean(x[b],na.rm=T))) } datx <- data.frame(rbind(c(1,2,3,4),c(4,5,6,7)))

Hi, I wonder whether the mechanism of parsing parameters to functions has changed between 0.63.1 and 0.63.3? The following code yeils different results in R 0.63.1 (Version 0.63.1 (Dec 5, 1998)) and R 0.63.3. cave<-function(x,a,b) { return(c(mean(x[a],na.rm=T),mean(x[b],na.rm=T))) } datx <- data.frame(rbind(c(1,2,3,4),c(4,5,6,7)))

Hi, # For publications, I am not allowed to repeat the axes. I have tried to remove the axes using: # yaxt="n", but it did not work. I have not understood how to do this in ggplot2. Can you help me? # I also do not want loads of space between the graphs (see below script with Dummy Data). # If I could make it look like the examples on the (nice) examples page: #

Dear HelpeRs, I would be grateful for anybody who might help to produce the following plot (the code for matlab is below) using the "rgl" package of R? [t,r] = meshgrid(linspace(0,2*pi,361),linspace(-4,4,101)); [x,y] = pol2cart(t,r); P = peaks(x,y); figure('color','white'); polarplot3d(P,'colordata',gradient(P)); view([-18 72]); You may see the code and plot

Dear R-users, i encountered some problems when trying to adjust the line width of the axes and stripes in a plot created with ggplot2. I use the "barley" dataset of the lattice package to illustrate my problem: library(ggplot2) library(lattice) barley[["SD"]] <- 5 limits <- aes(ymax=barley$yield + barley$SD,ymin=barley$yield - barley$SD) p1 <-

Hello, I am trying to plot means and standard errors conditioned by a factor, using qplot. I am successful at getting the bar graph I want with a error bar, however I have tried many things and cannot get the bars to change colors. Currently showing as red and blue, but need it to be black and white for publication. Any suggestions please? Using a data set June, which is str:

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'm attempting to plot error bars side by side rather than stacked on top of each other with ggplot2. Here is the sample code I am using: #Code #Data spd<-c("s","f","f","s","f","s","s","s","f","f","s","f") r<-c(4.9,3.2,2.1,.2,3.8,6.4,7.5,1.7,3.4,4.1,2.2,5)

Hello again, everytime I think I got something to work, the next issue comes up... I have the following data.frame, I want to visualize: > data_rb tld spam1 spam2 share 1 ca 826436 73452 0.0889 2 org 470550 25740 0.0547 3 de 156042 15531 0.0995 4 com 140753 7527 0.0535 5 edu 34845 2507 0.0719 6 net 12781 382 0.0299 7 ru 7648 18 0.0024

Dear all, I want to get a series of boxplots (grouped by two factors) and I want to overlay the original observations and the following code does almost what I want: library(ggplot) ddf <- data.frame(x=factor(rep(LETTERS[1:4], each=30)), y = runif(120,0,10), grp = factor(rep(rep(1:3, 10), 4))) ggplot(ddf, aes(x, y, colour=grp)) + geom_boxplot() + geom_point() Yet the position of the points

I'm looking at ggplot-static\position_dodge.html   For ggplot(diamonds, aes(x=price, fill=cut)) + geom_bar(position="dodge") , is it possible to specify the spacing between the dodge'd bin groupings?    That is, I would like for there to be a small separation (horizontal space) between the "Ideal" and the "Fair" bars on the plot.  That way the reader can get

hi there.. i got a problem with ggplot2. here my example: library (ggplot2) v1 <- c(1,2,3,3,4) v2 <- c(4,3,1,1,9) v3 <- c(3,5,7,2,9) gender <- c("m","f","m","f","f") d.data <- data.frame (v1, v2, v3, gender) d.data x <- names (d.data[1:3]) y <- mean (d.data[1:3]) pl <- ggplot (data=d.data, aes (x=x,y=y)) pl

Dear R users, First just want to say thank you to all for developing such a wonderful software and packages. I need to produce a wind rose plot. Tried with packages circular and plotrix and couldn't quite get what I want. Moved to package ggplot2 and it's going great. However stuck in how to move axis labels. I am using the wind rose from the help to learn how to do what I need (code

ggplot2 ------------------------------------------------------------ ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce

ggplot2 ------------------------------------------------------------ ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce

Dear R gurus - consider this plot: library(ggplot2) dat <- sample(1:8,100,replace=TRUE) smp <- ggplot(data.frame(dat), aes(x=factor(dat),fill=factor(dat))) + geom_bar(width=1) smp + coord_polar() Q1. How do I change the font size and weight of bar labels (1,2,3...)? I've been wallowing in the 'Themes' structure and I just can't figure out the correct place to change