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Hi all, i have a data set cintaining 14 columns and 11 rows. Rows represent single point and columns represent the parameter measured. I wiuld like to compare the data to see which are more alike. I used the cluster analysis, but now i ma wondering if there are some other methods, since the cluster analysis did not give me the result i like. I tried to use factanal() for factor analysis

...brary(vcd) library(grid) .test<-as.table(matrix(c(1, 2, 3, 4, 5, 6), nrow=3, ncol=2, byrow=TRUE)) .test<-prop.table(.test, 1) .test1<-as.table(matrix(c(1, 2, 3, 4), nrow=2, ncol=2, byrow=TRUE)) .test1<-prop.table(.test1, 1) dimnames(.test)<-list("Fluoride Cluster"=c('Beneficial\nand Safe', 'Mixed Opinion', 'Harmful With No Benefits'), "Governments Should Not Impose Treatment"=c('Agree', 'Disagree')) dimnames(.test1)<-list("Vaccines Are Too Much To Handle"= c('Agree' , 'D...

...library(vcd) library(grid) .test<-as.table(matrix(c(1, 2, 3, 4, 5, 6), nrow=3, ncol=2, byrow=TRUE)) .test<-prop.table(.test, 1) .test1<-as.table(matrix(c(1, 2, 3, 4), nrow=2, ncol=2, byrow=TRUE)) .test1<-prop.table(.test1, 1) dimnames(.test)<-list("Fluoride Cluster"=c('Beneficial\nand Safe', 'Mixed Opinion', 'Harmful With No Benefits'), "Governments Should Not Impose Treatment"=c('Agree', 'Disagree')) dimnames(.test1)<-list("Vaccines Are Too Much To Handle"= c('Agree' , 'D...