0
>
> $`8`
>X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12
> 57 0 0 1 0 0 1 0 1 0 0 1 1
>
> ---
> David
>
>> -Original Message-
>> From: Bob Green [mailto:bgr...@dyson.brisnet.org.au]
>> Sent: Sunday, November 18, 2012 3:22 PM
>> To
gt; >4 1. 0. 0.000
> >5 0. 1. 0.000
> >6 0. 0. 1.000
> >7 0. 0. 0.000
> >8 0. 0. 0.000
> > >
> >------------------
> >David L Carlson
> >Associate Professor of Anthropology
&g
-
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of Bob Green
> Sent: Sunday, November 18, 2012 5:00 AM
>
ge-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of Bob Green
> Sent: Sunday, November 18, 2012 5:00 AM
> To: r-help@r-project.org
> Subject: [R] Examining how cases are similar by cluster, in
> cluster analysis
>
> Hello,
>
>
Hello,
I used the following code to perform a cluster analysis on a
dataframe consisting of 12 variables (coded as 1,0) and 63 cases.
FS1 <- read.csv("D://Arsontest2.csv",header=T,row.names=1)
str(FS1)
dmat <- dist(FS1, method="binary")
cl.test <- hclust (dist(FS1, method ="binary"), "av
5 matches
Mail list logo
