_1 > 75944 & test_1 <= 94885] = "KE3873"
test_1[test_1 > 56951 & test_1 <= 75944] = "KE3870"
test_1[test_1 > 37991 & test_1 <= 56951] = "Cyprus1"
test_1[test_1 > 18954 & test_1 <= 37991] = "ref"
write.table(test_1, file
Thank you everybody!
Eventually the Peter's trick did it!
Thanks!
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Hello Everybody,
I'm making a contigency table with a dataset which looks like:
ClassSizeMember1 Members2 Members3 etc.
1 2 A B 0
2 3 C D A
3
Hello R-users,
I've got a huge table with about 20.00 rows and 50 columns. The table now
has headers as Members1, Members2 etc. My data are 8 different individuals.
And I've got a column with clusters. So each individual belongs to different
clusters and can occurs multiple times within a cluster
Hello R-users,
I've got a file with individuals as colums and the clusters where they occur
in as rows. And I wanted a table which tells me how many times each
individual occurs with another. I don't really know how such a table is
called...it is not a frequency tableMy eventual goal is to mak
Thank you very much! works perfectly!
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https://stat.eth
Hello R-users,
I've got a file with individuals as colums and the clusters where they occur
in as rows. And I wanted a similarity matrix which tells me how many times
each individual occurs with another. My eventual goal is to make
Venn-diagrams from the occurence of my individuals.
So I've this:
I'm sorry, I made a mistake in my example. you're right. I don't really know
how a similarity alogrithm worksbut I'm willing to try that...are there
any good examples available?
Thank you
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S
eq(0,1,by=.05)
#These return numeric(0), but others in the set return the correct value
A[A==.3]
A[A==.6]
A[A==.7]
A[A==.15]
A[A==.35]
A[A==.85]
A[A==.95] #A[20]
# This works fine
B<-seq(0,1,by=.05)
A[A==B]
# This also works fine
A<-c(0,.05,.1,.15,.2,.25,.30,.35,.40,.45,
.50,.55,.6,.65,.7,.75
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