Another feature of the corrplot package is the possibility to print the significance test results directly in the correlation plot.
Also the possibility to control the name of series, font size and orientation could solve any problems arising from large datasets.
Regarding the problem of black and white the example from https://cran.r-project.org/web/packages/corrplot/vignettes/corrplot-intro.html shows that using circles (or squares with values) would generate a nice ready to publish image.
Mihai
On Sat, Jan 7, 2017 at 7:00 PM, <gretl-users-request@lists.wfu.edu> wrote:
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Today's Topics:
1. Re: Correlation heatplot (Allin Cottrell)
------------------------------------------------------------ ----------
Message: 1
Date: Fri, 6 Jan 2017 12:07:37 -0500 (EST)
From: Allin Cottrell <cottrell@wfu.edu>
To: Gretl list <gretl-users@lists.wfu.edu>
Subject: Re: [Gretl-users] Correlation heatplot
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<alpine.LNX.2.20.16.1701061147330.11151@localhost. localdomain>
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On Thu, 5 Jan 2017, Allin Cottrell wrote:
> On Wed, 4 Jan 2017, Artur Tarassow wrote:
>
>> Btw, do you think this could become a public package similar to the (of
>> course) much more sophisticated R-package corrplot (URL:
>> https://cran.r-project.org/web/packages/corrplot/ )vignettes/corrplot-intro.html ?
>
> I agree this is a nice thing to have, and in fact I'm considering adding it
> as built-in functionality.
I've made a first stab at this (in git and snapshots). I'll briefly
describe what's there, and pose a few questions for consideration.
Command line: the "corr" command now has a --plot=whatever option
(along the same lines as the "freq" command). You can use --plot=none
to suppress a heatmap plot in interactive mode, --plot=display to
show it on-screen, or --plot=somename.pdf, and so on.
GUI: when you call for a correlation matrix (for more than 2 series)
in the GUI, the correlation window toolbar now has a heatmap icon that
calls up a plot.
For now I'm showing positive correlations in red, of varying
intensity, and negative correlations in blue, with white in the middle
(around zero). To cut down on visual clutter I've extended the white
range to cover correlations that are not significantly different from
zero at the 20% significance level.
When the heatmap is shown in the GUI, moving the mouse over the matrix
displays the correlation coefficients in the status bar.
By default, the whole matrix is shown but there's a --triangle option
to show just the lower triangle.
Some questions:
* Full matrix vs triangle: which should be the default? Is the choice
worth having or should we just fix on one or the other?
* Right now there's a minimum dimension of 3 for doing the heatmap:
should the minimum be bigger than that? (3 x 3 looks kinda silly, but
maybe it should be available anyway?)
* The plot works reasonably well for up to about 30 series, but is
going to get quite messy for more than that. Should we set a max?
And/or, should we make a special effort to get the plot working
acceptably for bigger dimensions? (Smaller font, not sure what else
could be done.)
Allin
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