Hi.
You could try call pareto.chart with las=2 option.
See ?par.
But I am not sure if it will work as I do not have experience with this.
Cheers
Petr
> -Original Message-
> From: R-help On Behalf Of Paul Bernal
> Sent: Friday, September 11, 2020 4:38 PM
> To: R
> Subject: [R] Adjusti
Dear friends,
Hope you are doing well. I am currently using R version 3.6.2. I installed
and loaded package qcc by Mr. Luca Scrucca.
I generated the pareto chart using qcc´s pareto.chart function, but when
the graph gets generated, the x-axis labels aren´t fully shown, and so the
text can´t be vi
Thank you for the clarification.
On Fri, Sep 11, 2020 at 2:36 PM Karl Schilling
wrote:
>
> Dear Luigi:
>
> no, µ1µ2 is not "missing"
>
> First, it should actually be "µ1 - µ2".
>
> And as your usual null-hypothesis when comparing h1 and h2 is that they
> are not different (i.e. µ1 = µ2), the latt
Dear Luigi:
no, µ1µ2 is not "missing"
First, it should actually be "µ1 - µ2".
And as your usual null-hypothesis when comparing h1 and h2 is that they
are not different (i.e. µ1 = µ2), the latter term adds up to 0 and may
be omitted.
Karl Schilling
__
Actually,
in the working example, Hutcheson himself did not report the term
µ1µ2: `t0 = h1-h2/(var1-var2)^1/2`. so I think we can live without it.
Case closed.
Thank you
On Fri, Sep 11, 2020 at 11:11 AM Luigi Marongiu
wrote:
>
> Hello,
> I have just realized in the original paper, the t test is d
Hello,
I have just realized in the original paper, the t test is defined as:
`t = h1-h2 -(µ1µ2)/(var1-var2)^1/2`. is the term -(µ1µ2) missing in
your formula? How to calculate µ1µ2?
Thank you
On Thu, Sep 10, 2020 at 2:41 PM Luigi Marongiu wrote:
>
> Update:
> I also added the confidence interval
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