similar to: ggplot2 errorbarh

Hi all, quick question: is the optional command "width" effective in the geom_errorbarh() layer of ggplot? Cause I can't get it works on this graph http://www.4shared.com/file/116919103/93488d88/iso_2PrsH.html pdf(file = "iso_2PrsH.pdf", width = 7, height = 7) NC60.iso.graph<-ggplot( NC60.DATA ,aes(Ce,Qe)) + geom_point(col=MaCouleur1, size=4) +

Hello! I need to make a plot with whispers that does the following. Reads in 50 files, each file containing 200 data points. A file looks like this: base100.log Send Receive 10.5 100.3 15.0 102.4 ... There are 100 lines, each with two data points. I need to read in the 50 files, and plot three lines The first line is the mean of the send column with whiskers indicating standard deviation

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 =

Dear R-list I'm working with with geom_errorbar; specifically I'm trying to reproduce the example Hadley Wickham have on http://had.co.nz/ggplot2/geom_errorbar.html (all in the button of the page) where he makes an nice plot with errorbars and then draw lines between the points. What confuses me is the 'limits' he defines for the errorbars from the se variable. First he creates

Hello, i use ggplot to plot some measures including CIs as horizontal errorbars. I get an error when the scale limits are narrower than the boundaries of the error bar and hence the CIs are not plotted. library(ggplot2) df <- data.frame(resp=c(1,2), k=c(1,2), se=c(1,2)) ggplot(df, aes(resp,y=k)) + geom_point() + geom_errorbarh(aes(xmax = resp + se, xmin = resp - se)) +

Here is my code, which plots three lines with errorbar. How could I add an extra line without errorbar to the plot? Thank you very much. beta.data <- data.frame ( method = rep(c("Wrong", "Correct", "Full Bayes"), each = T_obs), mean.beta = c(mean.beta1, mean.beta2, mean.beta3), t = rep(points, 3), std.beta = c(std.beta1, std.beta2, std.beta3) ) limits =

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

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

Hi there,? I've been battling with an extension of this in my own data: getting appropriate error bars once data is stacked in a bar graph.? (original question: http://r.789695.n4.nabble.com/ggplot2-se-variable-in-geom-errorbar-s-limits- td3311176.html). It wouldn't let me reply to that thread. A modification of the earlier answer:? data(diamonds)? ?diamonds_df <- ddply(diamonds,

Dear All, I have this script: dat <- data.frame(Month = hstat$Date,C_avg = hstat$C.avg,C_stdev = hstat$C.stdev) ggplot(data = dat, aes(x = Month, y = C_avg, ymin = C_avg - C_stdev, ymax = C_avg + C_stdev)) + geom_point() + geom_line() + geom_errorbar() dat <- data.frame(Month = hstat$Date,K_avg = hstat$K.avg,K_stdev = hstat$K.stdev) ggplot(data = dat, aes(x = Month, y = K_avg,

Dear R users, I have question concerning box plot and it's whiskers. As I understood from the description of the boxplot() function, if the range value is positive the plot whiskers extend out from the box to the most extreme data points defined by the values of the IQR times range (default 1.5). It suggests that the upper and lower plot whiskers should be more less the same length. What

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)

In a Box and Whisker plot, I thought that when there are outliers both abov= e and below the whiskers, then the whiskers should both be the same length = (plus or minus 1.5 times the inter-quartile range). If you look at the plot for SilwoodWeather on p.155 of The R Book you will = see that for November (month =3D 11) the upper whisker is shorter than the = lower, while for other months with

dear R-help, i have looked carefully through the R-help archives for information on how to suppress whiskers in a bwplot. someone asked this question a while ago, but the answer he received is not available in the archives. but i did manage to get my hands on a panel function (called "my.panel") that is supposed to do this (the function is reproduced at the end of the email, below).

Hi all, This seems like a basic problem, but no amount of playing with the code has solved it. I have a time-series data set like that shown below (only longer) and am seeking to plot the data with filled, circular points and error bars. I would like the error bars to be behind the points otherwise they tend to obscure the points (especially when I have a lot of points in the actual data set).

Hi All- I have 24 boxplots on one graph. I do not have the whiskers extending to the outliers, but I would like to label the maximum value of each outlier above the whiskers. I have the stats but am having trouble figuring out how to label the whiskers. Any suggestions would be great! sherri

Hi all, I have run into what appears to be a bug in ggplot2; however, I am new to the ggplot syntax, so I might be missing a key element. The main issue is that I cannot get geom_abline to plot when colour is used to identify "group" in the main plot. When I remove colour, geom_abline works but the error bars have an undesirable line drawn between the left edges of the caps. Does

My box plot below is drawing its upper whisker all the way to the last point, instead of showing the point as an outlier. Am I misunderstanding, or is it a bug? Help(boxplot) states for the parameter ?range? that ?this determines how far the plot whiskers extend out from the box. If range is positive, the whiskers extend to the most extreme data point which is no more than range times the

Dear all, I am comparing: > summary(boxplot(c(1,2,3,4,5,6,7,8,50),range=1.5)) Length Class Mode stats 5 -none- numeric n 1 -none- numeric conf 2 -none- numeric out 1 -none- numeric ^^^^^ group 1 -none- numeric names 1 -none- character with: > summary(boxplot(c(1,2,3,4,5,6,7,8,50),range=0)) Length Class Mode stats 5 -none- numeric n

How are the lower/upper whiskers defined in the default version of boxplot {graphics}? I tried help(boxplot) and searching www.rseek.org, but I was unable to determine an absolute answer. I checked out the definition of boxplot according to Wikipedia (http://en.wikipedia.org/wiki/Box_plot), but it also had several approaches listed for how the whiskers could be determined, so I'm just