similar to: applying random functions to multisets

I have searched for info on how to apply the Western Electric rules for process control, to data and plots I have in R, but I have not been able to learn how. Any help would be greatly appreciated. Thank you, sjcrauhut at agere.com 05/20/02 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Hi all, When we create a custom chain in iptables, should we specifically create a rule to 'jump back' to the previous chain? For example: iptables -A INPUT -j CUSTOMCHAIN iptables -A CUSTOMCHAIN rule1 iptables -A CUSTOMCHAIN rule2 Should we add: iptables -A CUSTOMCHAIN -j INPUT ? Or, it will automatically go back to CHAIN when there's no more rule? Thank you very much, -- Fajar

Dear R users, I want to perform an exact permutation of multisets. I have looked at the coin package, but it doesn't seem to offer what I am looking for. I want to perform permutations (exact - without duplications) on multisets of scalars (e.g., the multiset 0,0,1,2,2). I want to output all the possible permutations into a data frame so that each multiset permutation occupies a row (or

Hi, This has been asked before but not sufficiently answered from what I could find. How do you create combinations with repetitions (multisets) in R? If I have > set <- array(1:3) And I want to choose all combinations of picking 2 numbers, I want to get a print out like [,1] [,2] [1,] 1 1 [2,] 1 2 [3,] 1 3 [4,] 2 2 [5,] 2 3 [6,] 3 3 subsets(set,

Dear useRs, The new 'sets' package made it to CRAN, supporting: o data structures for sets, fuzzy sets, multisets, and fuzzy multisets o the use of (most) R objects as elements o standard set operations (union, intersection, complement, Cartesian product, power set, ...) o support for several fuzzy logic systems An introductory vignette is also available. David and Kurt.

Dear useRs, The new 'sets' package made it to CRAN, supporting: o data structures for sets, fuzzy sets, multisets, and fuzzy multisets o the use of (most) R objects as elements o standard set operations (union, intersection, complement, Cartesian product, power set, ...) o support for several fuzzy logic systems An introductory vignette is also available. David and Kurt.

Hi, we've implemented an indirect call promotion llvm pass. The design notes including examples are shown below. This pass complements the indirect call profile infrastructure http://lists.cs.uiuc.edu/pipermail/llvmdev/2015-April/084271.html Your feedback and comments will be highly appreciated. Thanks, Ivan ============================================================================RFC:

Hi Folks, A while ago (September 2007) I set up an experimental Debian 4.0 Etch installation, and installed R on it, along with several packages -- including e1071 and the "Bundle" VR -- by means of the Debian package manager. Most of the time, R works fine. But not always. Just now, I wanted to try the code suggested by Johannes H?sing for "Stroparia"'s Multiset

Hello! I am trying to impute missing data and output the results of the imputation. My data set is called: MyData. I have a bunch of variables all of which start with Q20_ - and some of them have missing values. Here is what I've been doing: imputationmodel<-mice( MyData[ c (grep("Q20_", names(MyData)) ) ] ) multipledataset<-complete(imputationmodel,action="long")

I am a teacher of computing programming in Madrid (Spain).Reciently I had presented for to be examined new library in Boost.( http://dl.dropbox.com/u/8437476/works/countertree/index.html ). I am writting you because I think a part of this library, the suballocator, can be useful to you. The suballocator works with the allocator for to improve the allocation speed of fixed size elements, like in

Over the last couple of years I have written quite a few R programs for various "psychometric" techniques, and I am regularly updating and expanding what is there. I now have (wholly or partially), or have planned -- gifi package (update to homals on CRAN). Code for multiple correspondence analysis, nonlinear principal component analysis, nonlinear multiset canonical

I am having following problem: I?m constructing model for calculation of area of triangle. I know sides a, b, and gamma angle. I wish to calculate the area using heron?s formula: S <- sqrt(s*(s-a)*(s-b)*(s-c)) where s <- (a+b+c)/2 and c is calculated using law of cosines: c <- sqrt(a^2 + b^2 -2*a*b*cos(gamma)) since i am calculating a regression model, i need derivation of this

I am having problem using output of lm() function for further analysing using systemfit package. Basicaly, the problem s following - I generate several formulas using lm() > fo1 <- lm(r98[,2] ~ f98[,1] + f98[,2] + ... + f98[,43]) > fo2 <- lm(r98[,1] ~ f98[,1] + f98[,2] + ... + f98[,43]) and than I want to estimate a general model using package systemfit. > fitsur <-

I've got the graphic with this: a=c(120,40,75,85,55,75,55,90,90,55,155) plot(ecdf(a)) How can I draw lines to show the lower quatile and upper quartil? I only know there is the argument lines(), but I don't know how to use it -- View this message in context: http://r.789695.n4.nabble.com/How-can-I-draw-a-line-in-empirical-distribution-function-tp3090675p3090675.html Sent from the R

I have found following problem: I have a vector: > a <- c(1.04,1.04,1.05,1.04,1.04) I want a mean of this vector: > mean(a) [1] 1.042 which is correct, but: > mean(1.04,1.04,1.05,1.04,1.04) [1] 1.04 gives an incorrect value. how is this possible? thanks, zbynek -- View this message in context: http://r.789695.n4.nabble.com/Incorrectness-of-mean-tp3327701p3327701.html Sent from the R

Hello, I would like to get mailbox quota by doveadm unix socket (/var/run/dovecor/doveadm-server). I get from strace syntax of comunication: write(9, "VERSION\t1\t0\nUSER\t1\tpiotr.rotter at active24.pl\tservice=doveadm\n", 60) = 60 read(9, "VERSION\t1\t1\nSPID\t20805\n", 8192) = 23 read(9, "USER\t1\tpiotr.rotter at active24.pl\temail=piotr.rotter at

Hi, I have a dataset and I want to fit a function to it. The function is variogram model (http://en.wikipedia.org/wiki/Variogram) The variogram model is defined by three parameters and I want them to be automatically optimized for real time data. I tried to use gafit {gafit} for this, but there are some data configuration, where optimal results given by gafit() are negative, which is not correct

First, let me apologize in advance if this is the wrong place to submit a suggestion for a change to functions in the base-R package. It never really occurred to me that I'd have an idea worthy of such a change. My idea is to provide an upgrade to all the "sets" tools (intersect, union, setdiff, setequal) that allows the user to apply them in a strictly algebraic style. The

Ok, this is a hard one and I just thought I''d see if people on the list had any suggestions on how they would approach this, I''ve not started to implement the rails to handle this yet as I''m still at the paper planning phase. I''m building an app that has to handle availability for travel packages. The complexity comes in that a person can choose a start

Hi all, I try to generate sets of strategies that contain probability distributions for a defined number of elements, e.g. imagine an animal that can produce 5 different types of offspring and I want to figure out which percentage of each type it should produce in order to maximize its fitness. In order to do so, I need to calculate the fitness for all potential strategies. As an example, if I