Well I first thought of using the MFA by considering my data as categorical
but indeed the correspondence analysis methods are better suitable for my
data structure,
Thanks again,
P
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On Feb 22, 2014, at 4:28 AM, PQuery wrote:
> Many thanks David,
>
> I will have a look on logistic regression for my case.
> Do you know about a good example regarding logistic regression ?
> I was thinking also of using Multiple Factor Analysis too (MFA - like in
> FactoMineR). However I am not
Many thanks David,
I will have a look on logistic regression for my case.
Do you know about a good example regarding logistic regression ?
I was thinking also of using Multiple Factor Analysis too (MFA - like in
FactoMineR). However I am not sure how successful this is going to be.
Best,
P.
-
On Feb 19, 2014, at 11:19 AM, PQuery wrote:
> Dear all,
>
> I have a data frame with a status column and some condition columns. (a dput
> of part of it is listed below).
> I would like to know if:
>
> 1) There are more chances to have a "status" of "1" when more than one
> conditions have the
Hi,
Thanks for the reply, I will wait a couple of days and eventually post
elsewhere unless I find the solution myself.
Best.
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Sent from the R help mailing list archive at Nabb
ry
> Sent: Wednesday, February 19, 2014 8:20 PM
> To: r-help@r-project.org
> Subject: [R] dependent column(s) in data frame
>
> Dear all,
>
> I have a data frame with a status column and some condition columns. (a
> dput
> of part of it is listed below).
> I would like to kn
Dear all,
I have a data frame with a status column and some condition columns. (a dput
of part of it is listed below).
I would like to know if:
1) There are more chances to have a "status" of "1" when more than one
conditions have the value of "1" ?
2) The "status" column is depending on any
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