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Dear All, Apologies if my questions are too basic for this list. I am given a set of data corresponding to list of detection times (real, non-integer numbers in general) for some events, let us say nuclear decays to fix the ideas. It is a small dataset, corresponding to about 400 nuclear decay times. I would like to test the hypothesis that these decay times are Poissonian-distributed. What is

I would like to import only datas of my table where DATE>today-7days. But my datas in Oracle are 'dates' and in R are 'characters'. now_7<-format(Sys.time()-(7*60*60*24), "%Y-%m-%d 00:00:00") How to do? -- View this message in context: http://r.789695.n4.nabble.com/Compare-date-Oracle-with-Sys-time-tp4635624.html Sent from the R help mailing list archive at

Inspired by the exchange between Rolf Turner and Wacek Kusnierczyk, I thought I'd clear up for myself the exact relationship among the various sequence concepts in R, including not only generic vectors (lists) and atomic vectors, but also pairlists, factor sequences, date/time sequences, and difftime sequences. I tabulated type of sequence vs. property to see if I could make sense of all this. The properties I looked at were the predicates is.{vector,list,pairlist}; whether various sequence operations (c, rev, unique, sort, rle) can be used on objects of the various types, and if relevant,...

Inspired by the exchange between Rolf Turner and Wacek Kusnierczyk, I thought I'd clear up for myself the exact relationship among the various sequence concepts in R, including not only generic vectors (lists) and atomic vectors, but also pairlists, factor sequences, date/time sequences, and difftime sequences. I tabulated type of sequence vs. property to see if I could make sense of all this. The properties I looked at were the predicates is.{vector,list,pairlist}; whether various sequence operations (c, rev, unique, sort, rle) can be used on objects of the various types, and if relevant,...

...t model vt.for <- vt.forest(forest.type = "one", vt.data = vt.obj, interactions = TRUE, ntree = 500) # Second step : find rules in data vt.trees <- vt.tree(tree.type = "class", vt.difft = vt.for, threshold = quantile(vt.for$difft, seq(.5,.8,.1)), maxdepth = 2) # Print results vt.sbgrps <- vt.subgroups(vt.trees) knitr::kable(vt.sbgrps) ``` Subgroup Subgroup size Treatement event rate Control event rate...

...t model vt.for <- vt.forest(forest.type = "one", vt.data = vt.obj, interactions = TRUE, ntree = 500) # Second step : find rules in data vt.trees <- vt.tree(tree.type = "class", vt.difft = vt.for, threshold = quantile(vt.for$difft, seq(.5,.8,.1)), maxdepth = 2) # Print results vt.sbgrps <- vt.subgroups(vt.trees) knitr::kable(vt.sbgrps) ``` Subgroup Subgroup size Treatement event rate Control event rate...

I am virtualizating Samba 4.1.14 with vmware free. Any of you already virtualized and had used vmconverter server to copy a PDC already working with a domain ? Can I copy the hole machine with VMCONVERTER without any problem. I had done already this procedure with a laptop to another place and worked very well. This is pratical and easy, but is this procedure recommended? I would like any advise

Hi A.K Regarding my question on comparing normal/ obese/overweight with blood pressure change, I did finally as per the first suggestion of stacking the data and creating a normal category . This only gives me a obese not obese 14, but when I did with the wide format hoping to get a obese14,normal14,overweight 14 Vs hibp 21, i could not complete any of the models. This time I classified obese=1