On Jan 2, 2013, at 10:09 PM, Bert Gunter wrote:
Below ...
-- Bert
On Wed, Jan 2, 2013 at 9:54 PM, David Winsemius > wrote:
...
Search on "orthogonal polynomials".
Yes, but this does not explain what these have to do with ordered
factors and contrasts in a linear model.
That information i
Below ...
-- Bert
On Wed, Jan 2, 2013 at 9:54 PM, David Winsemius wrote:
...
> Search on "orthogonal polynomials".
>
Yes, but this does not explain what these have to do with ordered factors
and contrasts in a linear model.
That information is contained in "An Introduction to R," the tutorial
On Jan 2, 2013, at 9:22 PM, Ranjan Maitra wrote:
Dear friends,
Being very new to this, I was wondering if I could get some pointers
and guidance to interpreting the results of performing a linear
regression with ordinal predictors in R.
Here is a simple, toy example:
y <- c(-0.11, -0.49, -1.
Dear friends,
Being very new to this, I was wondering if I could get some pointers
and guidance to interpreting the results of performing a linear
regression with ordinal predictors in R.
Here is a simple, toy example:
y <- c(-0.11, -0.49, -1.10, 0.08, 0.31, -1.21, -0.05, -0.40, -0.01,
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