OK, my last question didn't get any replies so I am going to try and ask a
different way.
When I generate contrasts with contr.sum() for a 3 level categorical variable I
get the 2 orthogonal contrasts:
contr.sum( c(1,2,3) )
[,1] [,2]
110
201
3 -1 -1
This provides the
G'day Michael,
On Fri, 15 Oct 2010 12:09:07 +0100
Michael Hopkins hopk...@upstreamsystems.com wrote:
OK, my last question didn't get any replies so I am going to try and
ask a different way.
When I generate contrasts with contr.sum() for a 3 level categorical
variable I get the 2
On 15 Oct 2010, at 13:55, Berwin A Turlach wrote:
G'day Michael,
Hi Berwin
Thanks for the reply
On Fri, 15 Oct 2010 12:09:07 +0100
Michael Hopkins hopk...@upstreamsystems.com wrote:
OK, my last question didn't get any replies so I am going to try and
ask a different way.
When I
Michael,
Let c_1 and c_2 be vectors representing contrasts. Then c_1 and c_2
are orthogonal if and only if the inner product is 0. In your example,
you have vectors (1,0,-1) and (0,1,-1). The inner product is 1, so
they are not orthogonal. It's impossible to have more orthogonal
contrasts than
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