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Hi all, I am attempting to use latin hypercube sampling to sample different variable functions in a series of simultaneous differential equations. There is very little code online about lhs or clhs, so from different other help threads I have seen, it seems I need to create a probability density function for each variable function, and then use latin hypercube sampling on this pdf. So far, I

i am new to the quantmod package . so if the answer is trivial please excuse me. i want to study stock values within a day. i get current stock updates using getQuotes and then want to produce usual quantmod graphs with that values. also the graph should be able of adding technical indicators. please help. in addition it will be helpful if anyone suggests how to run that code continuously to get

Hello, I am a very new R user and not a statistician so please excuse any over explanation, I'm just trying to be as clear as possible. I have performed a cross correlation of two time series (my columns) in a single data setusing: ccf(ts(A[rows,columnX]),(A[rows,columnY]), lag=NULL, type="correlation",plot=F) I?am able to get the results (for example): Autocorrelations of