Skip to content
Back to formatted view

Raw Message

Message-ID: <CA+8X3fWHfcVtTT3m40yHKDnsE2gADmjaju3KNjfkSrCqdoL9og@mail.gmail.com>
Date: 2016-04-04T22:08:24Z
From: Jim Lemon
Subject: Fligner-Killeen test on binary data
In-Reply-To: <009301d18e57$1b08b730$511a2590$@uzh.ch>

Hi emeline,
I think there may be a minor language problem. If you mean the
"variation" rather than the "variance" in survival, you may simply
want a test of proportions.

Jim

On Mon, Apr 4, 2016 at 7:48 PM, emeline mourocq <emeline.mourocq at uzh.ch> wrote:
> Hello,
>
>
>
> I investigate survival until the following year (0,1) and I wish to test if
> the variance in survival for two or more groups are significantly different
> from each other.
>
>
>
> I read that the Fligner-Killeen test is a non-parametric test which is very
> robust against departures from normality but is it correct (valuable
> technique for publication) to use it on binary data?
>
>
>
> In other words, can I use
> fligner.test(survival~categorical_predictor,data=mydata) when survival is
> binary (0,1)?
>
>
>
> Best regards
>
> Emeline
>
>
>
>
>
> ---
> This email has been checked for viruses by Avast antivirus software.
> https://www.avast.com/antivirus
>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.