If your purpose is simply to represent a correlation matrix it in a more
compact way see ?symnum, the corrgram package and an example in the
book Multivariate Data Visualization (regarding which gives a lattice
implementation).
On Fri, Mar 7, 2008 at 2:15 PM, Martin Kaffanke
On the topic of visualizing correlation, see also
Murdoch, D.J. and Chow, E.D. (1996). A graphical display of large
correlation matrices.
The American Statistician 50, 178-180.
with examples here:
# install.packages('ellipse')
example(plotcorr, package='ellipse')
On Sat, Mar 8, 2008 at 3:01
Am Mittwoch, den 05.03.2008, 14:38 -0300 schrieb Henrique Dallazuanna:
Try this:
On 05/03/2008, Martin Kaffanke [EMAIL PROTECTED] wrote:
Hi there!
In my case,
cor(d[1:20])
makes me a good correlation matrix.
Now I'd like to have it one sided, means only the left bottom
Please provide a example of what you want
On 06/03/2008, Martin Kaffanke [EMAIL PROTECTED] wrote:
Am Mittwoch, den 05.03.2008, 14:38 -0300 schrieb Henrique Dallazuanna:
Try this:
On 05/03/2008, Martin Kaffanke [EMAIL PROTECTED] wrote:
Hi there!
In my case,
On 3/6/2008 2:07 PM, Martin Kaffanke wrote:
Am Mittwoch, den 05.03.2008, 14:38 -0300 schrieb Henrique Dallazuanna:
Try this:
On 05/03/2008, Martin Kaffanke [EMAIL PROTECTED] wrote:
Hi there!
In my case,
cor(d[1:20])
makes me a good correlation matrix.
Now I'd like to have it one
Hi there!
In my case,
cor(d[1:20])
makes me a good correlation matrix.
Now I'd like to have it one sided, means only the left bottom side to be
printed (the others are the same) and I'd like to have * where the
p-value is lower than 0.05 and ** lower than 0.01.
How can I do this?
And
Try this:
On 05/03/2008, Martin Kaffanke [EMAIL PROTECTED] wrote:
Hi there!
In my case,
cor(d[1:20])
makes me a good correlation matrix.
Now I'd like to have it one sided, means only the left bottom side to be
printed (the others are the same) and I'd like to have * where the
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