On Dec 23, 2010, at 6:41 PM, David Winsemius wrote:


On Dec 23, 2010, at 5:55 PM, Eric Hu wrote:

Thanks David. I am reposting the data here.

Jorge has already responded masterfully. He's apparently less lazy that I and did all the editing. A log transformation as he illustrated can be very useful with bivariate skewed distributions. The only variation I would have suggested would be to record the default par settings and restore them at the end.

You could also repeat the plot an use abline to look at the predicted values

plot(x,y, log="xy")
lines( log(x), fit$predicted)

It's complementary to the residual plot and the QQ plot in the plot.lm display for consideration of the possibility that this may not be a truly log-log-linear relationship.



--
David

Eric


Hi,

I would like to plot a linear relationship between variable x and y.
Can anyone help me with scaled plotting and axes so that all data
points can be visualized somehow evenly? Plaint plot(x,y) will
generate condensed points near (0,0) due to several large data
points. Thank you.

Eric


dput(x)
c(0.349763, 3.39489, 1.52249, 0.269066, 0.107872, 0.0451689,
0.590268, 0.275755, 0.751845, 1.00599, 0.652409, 2.80664, 0.0269933,
0.137307, 0.282939, 1.23008, 0.436429, 0.0555626, 1.10624, 53,
1.30411, 1.29749, 53, 3.2552, 1.189, 2.23616, 1.13259, 0.505039,
1.05812, 1.18238, 0.500926, 1.0314, 0.733468, 3.13292, 1.26685,
3.10882, 1.01719, 0.13096, 0.0529692, 0.418408, 0.213299, 0.536631,
1.82336, 1.15287, 0.192519, 0.961295, 51, 0.470511, 4.05688,
1.78098, 0.364686, 1.24533)
dput(y)
c(0.423279, 0.473681, 0.629478, 1.09712, 0.396239, 0.273577,
0.303214, 0.628386, 0.465841, 0.687251, 0.544569, 0.635805, 0.358983,
0.16519, 0.366217, 1.08421, 0.668939, 0.181861, 0.782656, 13.3816,
1.15256, 0.965943, 20, 2.86051, 0.304939, 1.94654, 0.967576,
0.647599, 0.520811, 1.27434, 0.363666, 0.93621, 0.544573, 0.696733,
1.0031, 3.78895, 0.694053, 0.289111, 0.178439, 0.746576, 0.391725,
0.363901, 1.20297, 0.461934, 0.364011, 0.691368, 20, 0.81947,
1.69594, 1.56381, 0.900398, 0.960948)

David Winsemius, MD
West Hartford, CT

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David Winsemius, MD
West Hartford, CT

______________________________________________
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and provide commented, minimal, self-contained, reproducible code.

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