i m using a package NbClust for cluster analysis. in the following algorithm
->NbClust(m, diss="NULL", distance = "euclidean",
min.nc=2, max.nc=15, method = "ward", index = "all",
alphaBeale = 0.1)
i want to define my own dissimilarity matrix of dimension 38*38. my original
data "m" is a matrix of 365*38. whenever i define my own dissimilarity
matrix the window shows the following error
(Error in if (is.na(n) || n > 65536L) stop("size cannot be NA nor exceed
65536") :
missing value where TRUE/FALSE needed)
any help in this regards will be deeply appreciated as it is getting extremely
fustrating.
kind regards
eliza botto
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Hi,
I have big .csv file. I would like to filter that file into a new table.
For example, I have .csv file as below:
f1 f2 f3 f4 f5 f6 f7 f9 f10 f11
t1 1 0 1 0 1 0 0 0 0 1
t2 1 0 0 0 0 1 1 1 1 1
t3 0 0 0 0 0 0 0 0 0 0
t4 1 0 0 0 1 0 0 0 0 0
t5 0 0 0 0 0 0 0 0 0 0
t6 0 0 0 0 0 0 0 0 0 0
I want to filter the table above to another table as below. It will only
show an information which have a dependency.
As you can see below, t1 has a dependency with t2 and t4, because f1 has a
same value (value 1) with t2 and t4.
Also, f5 has a same value with f5 in t4.
Also, f10 has a same value with f10 in t2.
f1 f2 f3 f4 f5 f6 f7 f9 f10 f11
t1 1 0 1 0 1 0 0 0 0 1
t2 1 0 0 0 0 1 1 1 1 1
t4 1 0 0 0 1 0 0 0 0 0
New table (with row and column header) should be then saved in a new .csvfile.
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