855,
-9.074999, -3.45946428571426, -4.99214285714284,
-5.278748, -1.31928571428569, -0.5562479,
1.24714285714287)), .Names = c("City", "year", "week", "tmax",
"tmin", "tmean"), row.names = c(NA, 10L), class = "
r...@auckland.ac.nz
> > Sent: Fri, 11 Sep 2015 12:22:38 +1200
> > To: dwinsem...@comcast.net
> > Subject: Re: [R] [FORGED] Re: Help with Binning Data
> >
> > On 11/09/15 11:57, David Winsemius wrote:
> >
> >
> >
> >> The urge to imitate othe
"that rely on profusion of dummies" :)
+1
John Kane
Kingston ON Canada
> -Original Message-
> From: r.tur...@auckland.ac.nz
> Sent: Fri, 11 Sep 2015 12:22:38 +1200
> To: dwinsem...@comcast.net
> Subject: Re: [R] [FORGED] Re: Help with Binning Data
>
On 11/09/15 12:25, Achim Zeileis wrote:
On Fri, 11 Sep 2015, Rolf Turner wrote:
On 11/09/15 11:57, David Winsemius wrote:
The urge to imitate other statistical package that rely on profusion
of dummies should be resisted. R repression functions can handle
factor variables
Fortune?
On Fri, 11 Sep 2015, Rolf Turner wrote:
On 11/09/15 11:57, David Winsemius wrote:
The urge to imitate other statistical package that rely on profusion
of dummies should be resisted. R repression functions can handle
factor variables
Fortune? :-)
Nice! Should I include the "repress
On 11/09/15 11:57, David Winsemius wrote:
The urge to imitate other statistical package that rely on profusion
of dummies should be resisted. R repression functions can handle
factor variables
Fortune? :-)
cheers,
Rolf
--
Technical Editor ANZJS
Department of Statistics
University o
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