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


James

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