I would recommend not representing means by bars at all.
Bars are for counts, stacking from zero. Means are point estimates.
ggplot has a lot of routines for displaying means with errors bars:
geom_linerange, geom_pointrange. To hone your ggplot skills I
recommend looking into these geoms.
On Sep 11, 2009, at 4:32 PM, Felipe Carrillo wrote:
Like this?
# example using qplot
library(ggplot2)
meanprice <- tapply(diamonds$price, diamonds$cut, mean);meanprice
cut <- factor(levels(diamonds$cut), levels = levels(diamonds$cut))
qplot(cut, meanprice, geom="bar", stat="identity", fill = I("grey50"))
dev.new() # create a new graph to compare with qplot
# Example using ggplot
ggdata <- data.frame(meanprice,cut);ggdata
ggplot(ggdata,aes(y=meanprice,x=cut)) +
geom_bar(fill="grey50",stat='identity')
Felipe D. Carrillo
Supervisory Fishery Biologist
Department of the Interior
US Fish & Wildlife Service
California, USA
--- On Fri, 9/11/09, Andreas Christoffersen
<achristoffer...@gmail.com> wrote:
From: Andreas Christoffersen <achristoffer...@gmail.com>
Subject: bar chart with means - using ggplot
To: "ggplot2" <ggpl...@googlegroups.com>
Date: Friday, September 11, 2009, 1:50 PM
In the help pages hadley provides the following example
showing how to
achieve bar charts with y being means of a variable instead
of counts.
The example uses qplot however - and not ggplot. Since i
would like to
understand ggplot better I would really like to see how
this could be
done in ggplot.
# example using qplot
library(ggplot2)
meanprice <- tapply(diamonds$price, diamonds$cut, mean)
cut <- factor(levels(diamonds$cut), levels =
levels(diamonds$cut))
qplot(cut, meanprice, geom="bar", stat="identity", fill =
I("grey50"))
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