similar to: package with roc, sensitivity, specificity, kappa etc

Hallo, does a package for Matlab exist in R? If yes, where can I find it and how can I install it under R? Thanks, Corinna

Dear R help list members, I am experiencing difficulty in trying to generate a subscript '2' in an axis label. Although I can get the '2' into a subscript using expression(), R then forces me to leave at least one space between the '2' and the following character. My label is supposed to read 'N2O concentration (ppm)', and the space between the '2' and

Dear list, Is there an exact formula / safe rule of thumb that allows one to express the value of --max-ppsize as a function of the value of getOption("expressions") ? ?options tells "If you increase it [the expressions option], you may also want to start R with a larger protection stack". Motivation is to determine stack size of a Java vm used to launch R with a given

Hi friends, does anyone know how we can 'control' R from Visual Studio .NET? e.g. start R, send a set of commands, save the results and open the results using Visual Studio. Thanks Jason Dr. Iasonas Lamprianou Department of Education The University of Manchester Oxford Road, Manchester M13 9PL, UK Tel. 0044 161 275 3485 iasonas.lamprianou at manchester.ac.uk

I have a data frame with three columns, one coded as a factor. I would like to separate my data out into separate data frames according to the factor level. Below is a simple example to illustrate. I can get R to return the data in the correct format but cannot work out how to get separate data frames. I am a newcommer to programming in R so am not sure what I am missing! Thanks, Emily

Hi, I have a series of return data, a and b are factors. I would like to build a matrix which contains each vector of "returns". I am thinking about something as following, but I guess there should be a sensible way of doing this. returns <- split(return, list(regimef, assetf)) cbind(returns[[1]], returns[[2]],...,returns[[n]]) Could anyone give me some advice? Many thanks. --

Can someone direct me to an R function that properly computes standard errors of data obtained from a complex survery design, i.e. perform alnalyses similiar to those that can be performed with SUDAAN, particularly for a non-parametric one-way ANOVA, e.g. signed rank test? Thanks, John John Sorkin M.D., Ph.D. Chief, Biostatistics and Informatics Baltimore VA Medical Center GRECC, University of

Good afternoon! I'm trying to use the survey package to get a better point of view for my data, but i need some piece of advice: i have some data from a survey which has been stratified using 2 criteria: region(7 values), size of locality(5 values) Using the survey pakage how can i define in a correct way this design (taking into account all 4 strata not just one as in the Survey

Good morning, Does anyone know of a package or function to do a beta regression? Thanks, Walt Paczkowski _________________________________ Walter R. Paczkowski, Ph.D. Data Analytics Corp. 44 Hamilton Lane Plainsboro, NJ 08536 (V) 609-936-8999 (F) 609-936-3733

What's really the problem with: > regexpr( '\.odt$', "xxxxYodt", perl=TRUE ) Warning: '\.' is an unrecognized escape in a character string Warning: unrecognized escape removed from "\.odt$" [1] 5 attr(,"match.length") [1] 4 I know that I could use: > regexpr( '[.]odt$', "xxxxYodt", perl=TRUE ) But it seems to me that

I have a column of words, for example "DOG" "DOOG" "GOD" "GOOD" "DOOR" ... and I am interested in creating a matrix that contains the string edit distances between each pair of words. I am this close -> ' ' <- to writing the algorithm myself (which will allow for different variations on the string edit rules, indels,

Dear R-list members, I have been a user of SPSS for a few years and quite new to R. I read the documentation and tried samples but I have some problems to obtain results for a logistic regression under R. The following SPSS script LOGISTIC REGRESSION vir /METHOD = FSTEP(LR) d007 d008 d009 d010 d011 d012 d013 d014 d015 d016 d017 d018 d069 d072 d073 /SAVE = PRED COOK SRESID

Dear HelpeRs, I'm very fond of Sweave and I use it as often as possible. It'a a pity I can't use it for larger projects or can I? For instance suppose I have three files file1.rnw, file2.rnw and file3.rnw with Sweave code. Working on file2.rnw I whould like to exclude file1.rnw and file3.rnw temporarily and joining all of them later. This amounts to a mechanism similar to using

Hi, My questions concerns the ROCR package and I hope somebody here on the list can help - or point me to some better place. When evaluating a model's performane, like this: pred1 <- predict(model, ..., type="response") pred2 <- prediction(pred1, binary_classifier_vector) perf <- performance(pred, "sens", "spec") (Where "prediction" and

I reproduce from memory my exhaustive look into this issue. RODBC uses the Microsoft ODBC DLL's developed by Microsoft. These DLL's perform an automatic determination of column type based on the contents of the first N rows of cells in each column, where N [0,16]. N may be set in the Windows system registry, and there are a few other things that may be set in the system registry which

Dear list, I have some help file for S-Plus 2000 in .d and .sgml format. Is there a way to translate these files to .Rd files to use in an R package? Thanks Fredrik Lundgren

Dear list, How should missing values be expressed in Excel before extraction to R via RODBC. I'm bewildered. Sometimes the representation with NA in Excel appears to work and shows up in R as <NA> but sometimes the use of NA in Excel changes the whole vector to NA's. Blank or nothing or NA as representation for missing values in Excel with dateformat gives NA's of the whole

Hola! Tengo que hacer una curva ROC com unos datos que obtuve de hacer una macro de excel y aplicar unas reglas, y basicamente tengo que a partir de la variacion del tiempo y la velocidad del barco obtengo diferentes porcentajes de true positives (TP) y false positives (FP) y con eso deberia de construir una curva ROC. Dada mi ignorância en este tema, no se muy bien por donde empezar , estuve

Dear R-helpers, I am planning a course on Statistical Computing and Computational Statistics for the Fall semester, aimed at first year Masters students in Statistics. Among the topics that I would like to cover are linear algebra related to least squares calculations, optimization and root-finding, numerical integration, Monte Carlo methods (possibly including MCMC), bootstrap, smoothing and

Dear R-gurus, Where can I find a simple logistic regression model which can handle random effects as well among all the R-packages? With thansk in advance Fredrik Lundgren Norrk??ping, Sweden