search for: calculus

...tic parameters and I'm performing some EOF analysis on them. The problem is that for one of the datasets, the continents are labelled as NA's (since the data was gathered over the oceans). I don't know to which extent the dropping of those NA's from the matrix will affect the future calculus, and how to maintain the geographic entity of the EOF's Thanks in advance Antonio Rodriguez ---

I am trying to know exactly the formulas used to calculate aic for glm models. In glm.fit, the calculus of aic is: aic.model <- aic(y, n,mu, weights, dev) + 2 * fit$rank where 2 * fit$rank is (may be am i wrong?) twice the numbers of parameters p and aic(y, n, mu, weights, dev) refers to the function defined in the family function (which is for Gamma family, for instance) aic <- fun...

...his list, please don't laugh.) As an undergrad he majored in philosophy, so this will be his first foray into computer programming and statistics. I'm thinking of having him use "Introductory Statistics with R" by Peter Dalgaard, but I'm unable to tell if the book requires calculus. I don't think this student knows calculus, so this would be a deal breaker. Can someone tell me if my student can get through this book starting out with just knowledge of algebra? Also, do you have other suggestions for texts, manuals, web sites, etc. that would introduce statistics and...

Dear All, using R is noticed that I would benefit by going back to the books and "refresh" my linear algebra and calculus. Has anybody suggestions on which books are better as reference on the two these two topics? I was thinking to get Lang's "A First Course in Calculus", but I I have no idea what could be a good one for linear algebra. Something detailed and clear would be better, I do not have the...

Christian Sayer wrote: > Hi, > my target architecture has a kind of "16bit addressing mode", i.e. one address does not address 8 bit but a 16bit chunk. Consequently, every constant used to calculate effective addresses must be divided by two. > So far this is not such a problem for stack objects since FrameIndexes, function arguments etc. have a lot of custom lowering code where

> > At first I thought this could be handled when lowering > loads and stores, but I realize that I can only catch the > targeted addresses of loads/stores here - however address > calculation nodes may occur anywhere in a DAG. > > > > So my first impulse would be to adjust the constants when > the GEP instructions are transformed to ADDs. Afaics his > would mean

Hi, my target architecture has a kind of "16bit addressing mode", i.e. one address does not address 8 bit but a 16bit chunk. Consequently, every constant used to calculate effective addresses must be divided by two. So far this is not such a problem for stack objects since FrameIndexes, function arguments etc. have a lot of custom lowering code where this can be done. But when it comes

R people, I need to know if is possible to make data mining with R. If so, is there any manual or somewhere/one to consult about that. Thank you very much Adri?n

An amusing afterthought : What is a rival software (ahem!) was planting this, hoping for a divide between S and R communities.or at the very minimum hoping for some amusement. an assumption or even a pretense of stealing credit is one of the easiest ways of sparking intellectual discord Most users of softwares don't really care about who gets credit ( Who wrote Windows Vista ,or Mac OS or

...ons "xpnd" and "vech". Basically for a symmetric n by n matrix A, the duplication matrix D_n is a matrix of dimension n^2 by n(n+1)/2 such that D_n vech(A)= c(A), where c(A) just vectorizes A. The duplication matrix is defined on page 49 of the book "Matrix differential calculus with applications in statistics and econometrics" by Magnus and Neudecker (1988 ) Thanks a lot! --------------------------------- ÑÅ»¢Ãâ·ÑÓÊÏä-3.5GÈÝÁ¿£¬20M¸½¼þ [[alternative HTML version deleted]]

Hi, I have a function of the second grade, with 2 parameters: y~A^2 + A + B^2 + B The response y is a measurement for the precision of the analytical method, where A en B are method parameters. As its neccesary to keep the precision of the analytical methad as good as possible, its usefull to optimize A en B to keep y as low as possible. But how can I do this with R? I have searched the

Good morning guys, I've compiled and installed rsync 2.5.5 on 2 AIX 4.3 systems. When I try to run this command rsync --stats --progress --delete --partial --timeout=60 -aRntvz patrick@aix1::test /test I get this message and I don't know why. On both systems I run the command as root, what could be the cause ? Oh I was getting the same message with rsync 2.4.X and I still get it with the

hi. i'm hitting a wall each time i try to format a 3 terabyte partition. i'm able to create the partition using parted but whenever i try to create a 3 terabyte xfs or jfs or ext3 filesystem, the mounted filesystem created is only 1 terabyte. i tried centos x86 and x86_64 4.0 but i always hit a 1 terabyte limit. please help.

...in working on LLVM. I am really interested in two projects listed, the first one is the extending the clang AST with template information and the second is finding smart null pointer dereferences. I am passionate about compilers and interpreters, I have written a few small language based on lambda calculus. I am currently writing a lazy functional language and visualizing its execution to explain laziness for my undergraduate dissertation. I have also played with some industry-level interpreters in the past namely V8 and CPython. I believe I have good C++ experience, I have used it for my past two i...

...or longitudinal data (or trajectories). This algorithm is able to deal with missing value and provides an easy way to re roll the algorithm several times, varying the starting conditions and/or the number of clusters looked for. KmL 1.1.1 addition: - 7 imputations methods for longitudinal data - Calculus of three qualities criterion (Calinski&Harabatz, Ray&Turi, Davies&Bouldin) - Implementation of the Frechet distance between two trajectories - Calculus of the Frechet path - Optimization of the function 'dist' for trajectories - Possibility to use three different ways to define...

...ter. However, reading ?svm help it says "parameter needed for 'nu-classification' and 'one-classification'". Does not say anything about nu-regression. It is an omission in the ?svm help page? Or am I notundestanding something? I believe it has something to do with the calculus of the eigenvalues. Anyway how can I overpass this problem? Increasing the training data (is around 900 records)? Thanks for any help Joao

Hello, I use extensively m[i0:i1,j0:j1] = ... to update matrices parts. This writing is very convenient, but, since I'm doing this calculus many many times, I would like to know if there is a way (a hope ?) to do the same operation faster ? Thanks for any advice or pointer. Vincent

On a real data set, running the lme function, I get parameters estimation and a log-likelihood value. Nevertheless, the variance-covariance matrix in this case had a determinant close to zero. So, I could not calculate the log-likelihood myself with the classical expression. What is the calculus made in lme? Thanks for all suggestions. Tessa P-J (student)

Hi One of the most important calculation in applied finance is the number of days between dates. That kind of calculus become annoying when a specific calendar must be used. That is the case for the business days calculus. The package timeDate has a function isBizday to perform that kind of thing. The problem is that using this function to calculate the number of business days between dates has taken a very long t...

...or longitudinal data (or trajectories). This algorithm is able to deal with missing value and provides an easy way to re roll the algorithm several times, varying the starting conditions and/or the number of clusters looked for. KmL 1.1.1 addition: - 7 imputations methods for longitudinal data - Calculus of three qualities criterion (Calinski&Harabatz, Ray&Turi, Davies&Bouldin) - Implementation of the Frechet distance between two trajectories - Calculus of the Frechet path - Optimization of the function 'dist' for trajectories - Possibility to use three different ways to define...