If you are looking for robust multivariate or multivariable methods,
then review the Robust Methods Task View:
https://cran.r-project.org/view=Robust
--
David.
On 3/13/19 4:06 AM, Jackson, Daniel wrote:
Hi Frank and Dennis
I am in a similar situation but I would prefer to use a
Thanks I am now in personal communication with Frank anyway!
Dan
-Original Message-
From: peter dalgaard
Sent: 14 March 2019 10:37
To: Jackson, Daniel
Cc: r-help@r-project.org
Subject: Re: [R] Rank ANCOVA
1. This is the R-help mailing list, not "Frank and Dennis"
2
1. This is the R-help mailing list, not "Frank and Dennis"
2. You seem to be referring to two posts from July 2010 by Frank Harrell and
Dennis Fisher.
-pd
> On 13 Mar 2019, at 12:06 , Jackson, Daniel
> wrote:
>
> Hi Frank and Dennis
>
> I am in a similar situation but I would prefer to use
Hi Frank and Dennis
I am in a similar situation but I would prefer to use a proportional odds
model. 2 questions.
1. Has rank ancova been implemented in R now, despite its short comings?
2. Where has it been shown to yield unreliable analyses? I would like this
evidence (which I believe
Colleagues
I am trying to replicate some analyses performing in SAS using a rank ANCOVA
model. I assume that this is a non-parametric ANOVA with covariates but I
have not been able to get confirmation from the people who did the original
analyses. Can anyone direct me to the comparable
This has been shown to yield unreliable analyses. Use the more formal
proportional odds ordinal logistic model. This is a generalization of
the Wiloxon-Mann-Whitney-Kruskal-Wallis statistic. This is
implemented in the rms package and elsewhere.
Frank E Harrell Jr Professor and Chairman
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