I think information can be enhanced by using different scaled graphs next to
each other. mfrow() created too much space, there may be no need to again draw
the x-axis. It can be very useful to have different scales of the same data
presented next to each other, in addition to the main graph. So I
Look at oma= and mar= parameters to par for controlling the
space when using mfrow=. e.g.
opar - par(oma = c(6, 0, 5, 0), mar = c(0, 5.1, 0, 2.1), mfrow = c(2,2))
for(i in 1:4) plot(1:10)
par(opar)
On 8/20/06, Anupam Tyagi [EMAIL PROTECTED] wrote:
I think information can be enhanced by using
Johannes Hüsing hannes at ruhrau.de writes:
The pro's and con's of using scale breaks were discussed by
Cleveland (1985) The Elements of Graphing Data (Wadsworth, pp. 85-91,
149). I don't know what Cleveland said about this is the second edition
Spencer Graves:
but I believe
This is an interesting visual interpretation issue: it may be possible to
shade
the y-axis (which his thick like the top bars in Lattice plots), or shade the
main graphing area from dark to light (or two shades, for two scales) to give
a
visual idea about the density or stretch of the
Spencer Graves:
but I believe there are times when scale breaks are
appropriate, but the display should make this nonstandard transition
very clear;
... in which case you are close to having two graphs
sharing an x-axis and therefore saving on ink (yay!).
If your main concern is saving
The pro's and con's of using scale breaks were discussed by
Cleveland (1985) The Elements of Graphing Data (Wadsworth, pp. 85-91,
149). I don't know what Cleveland said about this is the second edition
Spencer Graves:
but I believe there are times when scale breaks are
appropriate,
Rashmi Mathur wrote:
Hello,
How do I split a y-axis to plot data on different scales?
Eg:
x - 1:10
y - c(-0.01,0.79,0.74,0.55,-0.67,0.32,-0.47,-0.05,723,759)
plot(x,y)
I'd like to show these data on the same plot, but the way it's written, all
contrast in the first 8 data points is
The pro's and con's of using scale breaks were discussed by
Cleveland (1985) The Elements of Graphing Data (Wadsworth, pp. 85-91,
149). I don't know what Cleveland said about this is the second edition
of this book, but I believe there are times when scale breaks are
appropriate,
Hello,
How do I split a y-axis to plot data on different scales?
Eg:
x - 1:10
y - c(-0.01,0.79,0.74,0.55,-0.67,0.32,-0.47,-0.05,723,759)
plot(x,y)
I'd like to show these data on the same plot, but the way it's written, all
contrast in the first 8 data points is lost. Can R split a y-axis for
How do I split a y-axis to plot data on different scales?
The short answer: you shouldn't. The whole point of plotting the data
is so that you can compare them visually on the same scale. As soon
as you split the scales you can no longer do this, and you effectively
have two separate graphs.
--- Rashmi Mathur [EMAIL PROTECTED] wrote:
Hello,
How do I split a y-axis to plot data on different
scales?
Eg:
x - 1:10
y -
c(-0.01,0.79,0.74,0.55,-0.67,0.32,-0.47,-0.05,723,759)
plot(x,y)
I'd like to show these data on the same plot, but
the way it's written, all
contrast in
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