On Wed, May 18, 2011 at 2:38 PM, Peter Ehlers <ehl...@ucalgary.ca> wrote: > On 2011-05-18 11:13, jctoll wrote: >> >> Hi, >> >> I am trying to produce a grouped bar plot from a data.frame and I'm >> having difficulties figuring out how to do so. My data is 500 rows by >> 4 columns and basically looks like so: >> >>> head(x) >> >> V1 V2 V3 V4 >> 1 XOM 0.2317915 0.1610068 1.6941637 >> 2 AAPL 0.6735488 0.7433611 0.1594102 >> 3 GE 1.2554160 0.9237384 1.6767711 >> 4 IBM 1.6296938 0.3730387 0.5858115 >> 5 CVX 0.9194169 0.4785705 0.1803601 >> 6 PG 0.7768241 1.7622060 0.7640163 >> . . . >> >> I would like to produce something similar to what is found at: >> http://www.statmethods.net/graphs/bar.html # the grouped >> barplot example >> or >> http://had.co.nz/ggplot2/geom_bar.html # the Dodged bar >> charts example >> >> Across the X-axis, for each set(row) of 3 data points(V2, V3, V4) >> associated with a symbol(V1), I would like to create a group of 3 bars >> reflecting their values. So the Y-axis will represent the magnitude >> of values in the columns (V2, V3, V4), and X-axis will have 500 groups >> of 3 bars, for a total of 1500 bars. I would like the color of each >> bar to reflect the column of data it represents, and to label each >> group of 3 with the corresponding symbol in column V1. >> >> I was trying to get this to work using ggplot but the y-axis in the >> example is the count, which is not what I'm after. Any suggestions, >> to get me started down the right path would be appreciated. Thank >> you. > > Using base barplot() and calling your 6 lines of data 'd': > > barplot(t(d[-1]), names.arg=d[,1], beside=TRUE) > > Give a careful reading to the definition of the 'height' argument on > the help page. > > Peter Ehlers
Thank you, that's what I was looking for and it gets me started in the right direction. I can now work on refining the layout. Thanks again. James ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.