Displaying 4 results from an estimated 4 matches for "nonparallelism".
2012 Oct 23
1
Testing proportional odds assumption in R
I want to test whether the proportional odds assumption for an ordered
regression is met.
The UCLA website points out that there is no mathematical way to test the
proportional odds assumption (http://www.ats.ucla.edu/stat//R/dae/ologit.htm),
and use graphical inspection ("We were unable to locate a facility in R to
perform any of the tests commonly used to test the parallel slopes
2020 Jul 01
2
[RFC] Compiled regression tests.
On 7/1/20 11:13 AM, Michael Kruse wrote:
> Am Mi., 1. Juli 2020 um 09:33 Uhr schrieb Hal Finkel <hfinkel at anl.gov
> <mailto:hfinkel at anl.gov>>:
>
> I definitely agree that we should not be trying to do this kind of
> checking using textual metadata-node matching in FileCheck. The
> alternative already available is to add an analysis pass with some
2020 Jul 01
6
[RFC] Compiled regression tests.
On 7/1/20 12:40 AM, Michael Kruse via llvm-dev wrote:
> To illustrate some difficulties with FileCheck, lets make a
> non-semantic change in LLVM:
>
> --- a/llvm/lib/Analysis/VectorUtils.cpp
> +++ b/llvm/lib/Analysis/VectorUtils.cpp
> @@ -642,8 +642,8 @@ MDNode *llvm::uniteAccessGroups(MDNode
> *AccGroups1, MDNode *AccGroups2) {
> return AccGroups1;
2011 Mar 08
4
minimum distance between line segments
Dear R helpers,
I think that this may be a bit of a math question as the more I
consider it, the harder it seems. I am trying to come up with a way to
work out the minimum distance between line segments. For instance,
consider 20 random line segments:
x1 <- runif(20)
y1 <- runif(20)
x2 <- runif(20)
y2 <- runif(20)
plot(x1, y1, type = "n")
segments(x1, y1, x2, y2)