You could also try
RSiteSearch("correlation circle")
Kjetil
On Thu, Aug 19, 2010 at 11:31 AM, weijian21cn wrote:
>
> Thank you all a lot for all the suggestion!
> --
> View this message in context:
> http://r.789695.n4.nabble.com/How-to-measure-correlations-in-terms-of-distance-and-draw-them-on
Thank you all a lot for all the suggestion!
--
View this message in context:
http://r.789695.n4.nabble.com/How-to-measure-correlations-in-terms-of-distance-and-draw-them-on-a-2-dimmentional-plot-tp2330413p2331408.html
Sent from the R help mailing list archive at Nabble.com.
Weijian,
Look at multidimensional scaling functions such as cmdscale or
isoMDS (in MASS) or factor analysis (e.g., factanal in core R or fa
in the psych package) or item cluster analysis (ICLUST, also in
psych).
What you will need to think about is how many dimensions best
represent the 10
ginal Message-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
> project.org] On Behalf Of weijian21cn
> Sent: Wednesday, August 18, 2010 3:47 PM
> To: r-help@r-project.org
> Subject: Re: [R] How to measure correlations in terms of distance and
> dra
Probably I put it too complicated.
I just try to draw 10 points on a plot. Each point stand for one variable.
If two variables are highly correlated, the corresponding dots are to be
drawn closer. Say, variable X1, X2, X3, are highly correlated among them, so
they will be clustered; variables X4,
On Aug 18, 2010, at 5:11 PM, weijian21cn wrote:
Hi,
Suppose I have n variables, X1, X2, ..., Xn and want to visualize the
pairwise correlations on a 2-dimmensional plot. In particular, I
plan to
mark down n dots on a piece of paper and dot i represents Xi, in a
way such
that the highly c
Hi,
Suppose I have n variables, X1, X2, ..., Xn and want to visualize the
pairwise correlations on a 2-dimmensional plot. In particular, I plan to
mark down n dots on a piece of paper and dot i represents Xi, in a way such
that the highly correlated variables are placed closer; that is, shorter
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