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Hello, I have a simple question: I want to list numbers 1:k, but if k <1, I hope nothing listed. how should we do? k=2 for (i in 1:k)  print(i) [1] 1    # <-correct [1] 2 k=0 for (i in 1:k) print(i) [1] 1      #<---- wrong [1] 0   thanks jian [[alternative HTML version deleted]]

Hi all, I have made an overdispersion test for a data set and get the following result Overdispersion test Obs.Var/Theor.Var Statistic p-value poisson data 16.24267 47444.85 0 after deleting the outliers from the data set I get the following result Overdispersion test Obs.Var/Theor.Var Statistic p-value poisson data 16.27106 0 1 The

Given: data(AirPassengers) I get a ts data structure AirPassengers in the workspace. How can I generate the code that can create that structure? That is, given an example of a data structure, is there a way to generate the code that can greate that structure? Alternatively, is there a reference that provides a list of dta structures together with a full list of theor respective attributes?

Dear R helpers, For an allometric analysis (allometric equation y = a*x^b) I would like to apply a non-linear regression instead of using log-log transformations of the measured parameters x and y and a Model II linear regression. Since both of the variables x and y are random, I would like to apply a Model II non-linear analog of either Reduced Major Axis or Major Axis Regression. The

Sorry about re-posting this, it never went out to the mailing list when I posted this to r-help forum on Nabble and was pending for a few days, now that I am subscribe to the mailing list I hope that this goes out: I've been a viewer of this forum for a while and it has helped out a lot, but this is my first time posting something. I am running glm models for richness and abundances. For

summary(result) Call: svyglm(Injury ~ seat, sD, family = quasibinomial(link = "logit")) Survey design: svydesign(~1, prob = NULL, strata = Data[, 1], weights = Data[, 4], data = Data, fpc = ~fPc) Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -4.256875 0.001421 -2996.7 <2e-16 *** seatbad 0.681504 0.001689 403.4 <2e-16 *** ---

4) Subtract 1 from the keyframe, then repeat step 3). 5) Begin reading from the frame discovered in step 4. Drop any packets which are output on the first page. Count down until we reach the keyframe, dropping packets until then. 6) Continue counting down until we reach the target frame, we are now decoding each frame/packet. At the target frame produce the YUV output. You can see this in code

4) Subtract 1 from the keyframe, then repeat step 3). 5) Begin reading from the frame discovered in step 4. Drop any packets which are output on the first page. Count down until we reach the keyframe, dropping packets until then. 6) Continue counting down until we reach the target frame, we are now decoding each frame/packet. At the target frame produce the YUV output. You can see this in code

On Wednesday 26 January 2005 02:20 pm, Andrey wrote: > > I've seen pretty good quality theora format video at less than 1 Mbps. > > What was the resolution/frame/rate/type of the movie. A sample video can be downloaded, using BitTorrent, from www.theora.org. It's in the Contents section on the left side of the page, and labeled "CC spots." What you actually get