Many thanks - this was very helpful!
Regards, Kay
Am 28.01.2013 13:19 schrieb "Achim Zeileis" :
> On Sun, 27 Jan 2013, Kay Cichini wrote:
>
> That said,
>>
>> wilcox_test(x ~ factor(y), distribution = "exact")
>>>
>>
>> or the same with oneway_test, i.e would be ok?
>>
>
> Yep, exactly.
>
> And
On Sun, 27 Jan 2013, Kay Cichini wrote:
That said,
wilcox_test(x ~ factor(y), distribution = "exact")
or the same with oneway_test, i.e would be ok?
Yep, exactly.
And you could also look at chisq_test(factor(x > 0) ~ factor(y),
distribtuion = approximate()) or something like that. Or
That said,
> wilcox_test(x ~ factor(y), distribution = "exact")
or the same with oneway_test, i.e would be ok?
2013/1/27 Achim Zeileis
> On Sun, 27 Jan 2013, Kay Cichini wrote:
>
> Thanks for the reply!
>>
>> Still, aren't there issues with 2-sample test vs y and excess zeroes
>> (->many tie
On Sun, 27 Jan 2013, Kay Cichini wrote:
Thanks for the reply!
Still, aren't there issues with 2-sample test vs y and excess zeroes
(->many ties), like for Mann-Whitney-U tests?
If you use the (approximate) exact distribution, that is no problem.
The problem with the Wilcoxon/Mann-Whitney tes
Thanks for the reply!
Still, aren't there issues with 2-sample test vs y and excess zeroes
(->many ties), like for Mann-Whitney-U tests?
Kind regards,
Kay
2013/1/26 Achim Zeileis
> On Fri, 25 Jan 2013, Kay Cichini wrote:
>
> Hello,
>>
>> I'm searching for a test that applies to a dataset (N=
On Fri, 25 Jan 2013, Kay Cichini wrote:
Hello,
I'm searching for a test that applies to a dataset (N=36) with a
continuous zero-inflated dependent variable
In a regression setup, one can use a regression model with a response
censored at zero. survreg() in survival fits such models, tobit()
Hello,
I'm searching for a test that applies to a dataset (N=36) with a continuous
zero-inflated dependent variable and only one nominal grouping variable
with 2 levels (balanced).
In fact there are 4 response variables of this kind which I plan to test
seperately - the amount of zeroes ranges fr
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