Hi,
Here is an example
of the question I posted yesterday. Suppose there are 10 data sets, each
contains 100 values. In data set #3, #5, #9, there are different subgroups.
Is there a way to identify these kind of data set?
data=matrix(runif(1000),
10, 100);data[3,61:90]=runif(30)+1;
data[5,1:40]=runif(40)+3;
data[5,81:100]=runif(20)+5;
data[9,1:20]=runif(20)+2;
data[9,31:60]=runif(30)+4;
data[9,71:90]=runif(20)+6;
Many
thanks!
/Mike
On Fri, May 16, 2008 at 4:52 PM, mike Ad. wrote:
> Dear group,
>
> I have hundreds
> of independent data sets, each data sets contains >100 values. In some
> data
> sets, all the values can be classified into several groups with clear
> difference between groups; while in some other data sets, all the
> values are
> randomly distributed. I would like to find a statistics method to
> automatically
> pick out the data sets which have group pattern, or specifically found
> data
> sets have certain number of groups, e.g. 2, 3, 4.
> Are there
> any functions or packages that could solve this issue, or any other
> suggestions?
> Many Thanks!
>
> /Mike
>
>
>
_________________________________________________________________
Give to a good cause with every e-mail. Join the im Initiative from Microsoft.
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
