Dear Martin,
Thank you for your answer. I got the dist.binary() function in the ade4
package. It gives several distances for binary data. I agree with you, some
individuals probably share the same profile in my data.
Regards,
Hugo
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> Hugo Varet
> on Tue, 11 Jun 2013 15:15:36 +0200 writes:
> Dear Martin,
> Thank you for your answer. Here is the exact call to agnes():
> setwd("E:/Hugo")
> library(cluster)
> load("mydata.rda")
> tableauTani<-dist.binary(mydata, method = 4, diag = FALSE, uppe
Dear Martin,
Thank you for your answer. Here is the exact call to agnes():
setwd("E:/Hugo")
library(cluster)
load("mydata.rda")
tableauTani<-dist.binary(mydata, method = 4, diag = FALSE, upper = FALSE)
resAgnes.Tani<-agnes(tableauTani, diss = inherits(tableauTani,
"dist"),method = "ward")
classe.a
> Hugo Varet
> on Sun, 9 Jun 2013 11:43:32 +0200 writes:
> Dear R users,
> I discovered something strange using the function agnes() of the cluster
> package on R 3.0.1 and on R 2.14.1. Indeed, the clusterings obtained are
> different whereas I ran exactly the same cod
Dear R users,
I discovered something strange using the function agnes() of the cluster
package on R 3.0.1 and on R 2.14.1. Indeed, the clusterings obtained are
different whereas I ran exactly the same code.
I quickly looked at the source code of the function and I discovered that
there was an imp
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