int 9 3 31 11 31 6 0 31 44 11 ...
>> > $ Frequency : int 5 15 1 8 2 2 2 1 1 2 ...
>> > $ Monetary : num 10 16.31 18.44 13.51 7.99 ...
>> >
>> > ... but the following criticism seems, well, _critical_ (as in
>> essential for one to address if a reasonable pro
t; What is „ideal interval“ can you define it? Should it be such to
> provide eqal number of observations?
> >
> > That is the crucial question for you to answer, Hemant. Read the
> ?quartile help page if your answer is "yes" or even "maybe".
> >>
&g
help page if your answer is "yes" or even "maybe".
>>
>> Or maybe you could normalise your values and use quartile method.
>
> Well, maybe not so much on that last one, Petr. Normalization should not
> affect the classification based on quartiles. It doesn
not so much on that last one, Petr. Normalization should not affect
the classification based on quartiles. It doesn't change the ordering of
variables.
--
David.
>
> Cheers
> Petr
>
> From: Hemant Sain [mailto:hemantsai...@gmail.com]
> Sent: Friday, October 13, 2017 8:
IKAL Petr
Cc: r-help mailing list
Subject: Re: [R] How to define proper breaks in RFM analysis
Hey,
i want to define 3 ideal breaks (bin) for each variable one of those variables
is attached in the previous email,
i don't want to consider quartile method because quartile is not working
idea
Hey,
i want to define 3 ideal breaks (bin) for each variable one of those
variables is attached in the previous email,
i don't want to consider quartile method because quartile is not working
ideally for that data set because data distribution is non normal.
so i want you to suggest another method
Hi
Your statement about attaching data is problematic. We cannot do much with it.
Instead use output from dput(yourdata) to show us what exactly your data look
like.
We also do not know how do you want to split your data. It would be nice if you
can show also what should be the bins with respe
> On Oct 12, 2017, at 1:17 AM, Hemant Sain wrote:
>
> Hello,
> I'm working on RFM analysis and i wanted to define my own breaks but my
> frequency distribution is not normally distributed so when I'm using
> quartile its not giving the optimal results.
> so I'm looking for a better approach wher
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