Dear Sir,
Many thanks and Best Regards,
Ashim.
On Sun, Jan 14, 2018 at 9:05 PM, Fox, John wrote:
> Dear Ashim,
>
> I’ll address your questions briefly but they’re really not appropriate for
> this list, which is for questions about using R, not general statistical
>
Dear Ashim,
I’ll address your questions briefly but they’re really not appropriate for
this list, which is for questions about using R, not general statistical
questions.
(1) The relevant distribution is within cells of the wool x tension
cross-classification because it’s the deviations from
Dear Sir,
Many thanks for your reply.
I have a query.
I have a whole set of distributions which should be made normal /
homoscedastic. Take for instance the warpbreaks data set.
We have the following boxplots for the warpbreaks dataset:
a. boxplot(breaks ~ wool)
b. boxplot(breaks ~ tension)
Dear Ashim,
Try spreadLevelPlot(breaks ~ interaction(tension, wool), data=warpbreaks) .
I hope this helps,
John
-
John Fox, Professor Emeritus
McMaster University
Hamilton, Ontario, Canada
Web: socialsciences.mcmaster.ca/jfox/
> -Original Message-
> From:
Dear All,
I did this :
> v = wool:tension
> spreadLevelPlot(breaks ~ v)
LowerHinge Median UpperHinge Hinge-Spread
B:H 15 17 216
A:M 18 21 30 12
A:H 18 24 28 10
B:M 21 28 39
Dear All,
we need to do :
library(car) for the spreadLevelPlot function
I forgot to say that.
Apologies,
Ashim
On Sun, Jan 7, 2018 at 10:37 AM, Ashim Kapoor wrote:
> Dear All,
>
> I want a transformation which will make the spread of the response at all
>
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