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Dear All, It is my first time using this mail list to post a question. And I sincerely hope that this will not bother any subscribers. So far as I know, there are functions like union( ), which can help to combine two sets of discrete data. But what if the data sets are with continuous data. For instance, I got three sets like [2, 4], [5, 6], [3.4, 5.5]. I wonder if there is a quick solution to

Hi, You may try: set.seed(49) m1 = matrix(rnorm(30), nrow = 3) m2 = matrix(rnorm(30), nrow = 3) ?corsP<-vector() ? for(i in 1:3) corsP[i] =? cor(m1[i,], m2[i,]) ?corsP #[1]? 0.58411274 -0.02382329? 0.03760757 diag(cor(t(m1),t(m2))) #[1]? 0.58411274 -0.02382329? 0.03760757 #or mNew<- rbind(m1,m2) ?indx<-rep(seq(nrow(mNew)/2),2) ?sapply(split(seq_len(nrow(mNew)),indx),function(x) cor(t(mNew[x,]),t(mNew[x,]))[2]) ?#???????? 1?????????? 2?????????? 3 ?#0.58411274 -0.02382329? 0.03760757 #or tapply(seq_along(indx),list(indx),FUN=function(x) cor(t(mNew[x,]),t(mNew[x,]))[2]...

...e new y, y=Mx This is done iteratively until the difference between the old x and new x is less than the tolerance level. The normalised x, i.e. (1/sqrt(sum(x^2)))*x , call this v, is the first prinicipal component and the last value of beta is the associated eigenvalue. A new M is calculated as Mnew = M-beta*v*transpose(v) And, the whole procedure is repeated for Mnew to get the second prinicipal component and associated eigenvalue. The is done m times. I want to output all the eigenvectors (prinicipal components) and eigenvalues to some location in the spreadsheet. I would be extremely gr...

Hi, I am trying to format some data (example matrix "m" below) for which each data point has 2 associated values separated by a comma. I want to replace values <3 with "0" to give the example output below. I have got as far as: out<-lapply(strsplit(m,","),as.numeric) Failed to identify anything along the lines of "[out<3]<-0" that works... Thank