similar to: fBasics package: dnig

Dear R Help Please forgive my lack of knowledge,.I would be very thankful for some help. Here is my problem: I was using optim to estimate parameters of a model and I get this error message "Error in optim(x0, fn = riskll, method = "L-BFGS-B", lower = lbs, upper = ubs, : L-BFGS-B needs finite values of 'fn'" Below is the R code I have written.

Hi, If I try to read the codes of functions in e1071 package, it gives me following error message. >library(e1071) > svm function (x, ...) UseMethod("svm") <environment: namespace:e1071> > predict.svm Error: Object "predict.svm" not found > Can someone help me on this how to read the codes of the functions in the e1071 package? Thanks. Raj

Hello, I want to do feature selection for classification purpose (using lda). Can someone point me to any R package or S-plus package for this? Something like SFS or SFFS method would be useful for me. Thanks. Raj [[alternative HTML version deleted]]

Hi All, In package e1071 for SVM based classification, one can get a probability measure for each prediction. I like to know what is method that is used for calculating this probability. Is it calculated using logistic link function? Thanks for your help. Regards, Raj

Dear Colleagues, I would like to do classification using logistic regression. Which R package can I use? Also is there any package for feature selection for logistic regression based method? Thanks a lot in advance. Happy holidays. Regards, Raj [[alternative HTML version deleted]]

Dear Colleagues, I am doing two class classification using logistic regression. I realized that I can either use "glm" function or "multinom" function. I know "multinom" is used for multiclass classification. But if I was it for binary classification, I was wondering if there is an difference in the results compared to "glm" results. Thanks in advance.

Hi All, Sorry for this is a very naive question. I am trying to do binary classification (male vs female) using glm using following data: X1 X2 X3 Class 2.3 4.5 2.1 Male 0.9 3.2 1.6 Male 1.7 1.8 2.6 Feamle I am trying to use predict.glm for prediction with type="respose" which gives the predicted probabilities as per documentation. My

Hi, I am running a program in --vanilla mode. I would like to know how to load saved functions in the program that it calls. EVerytime I call those objects it returns error and complains that it cannot find the function object I am calling. Please let me know. Thanks in advance. Regards, Raj

Dear R People: There is a function from the fBasics library to get the probability and quantiles for the hyperbolic probability function. Is there one that will estimate parms of the hyperbolic probability function from a data set, please? Thanks in advance! Sincerely, Erin Hodgess mailto: hodgess at gator.uhd.edu R Version 2.0.1 windows

fBasics question: Get maximum dates Hello, This two series data set has been created with the timeSeries() function from fBasics >str(total) Formal class 'timeSeries' [package "fBasics"] with 7 slots ..@ Data : num [1:262, 1:2] 8703 8603 8573 8680 8668 ... .. ..- attr(*, "dimnames")=List of 2 .. .. ..$ : chr [1:262] "2004-04-19 01:00:00"

Dear R users, I'm trying to fit stable distribution and hyperbolic distribution to my data using stableFit(), and hypFit() of fBasics. However, there are some problems This is the result ====================================== > stableFit(lm, alpha = 1, beta = 0, gamma = 1, delta = 0, doplot = TRUE, trace = FALSE, title = NULL, description = NULL) Title: Stable Parameter Estimation

hi, I have installed the fbasics package. And when I wrote "?stablefit", it says 'No documentation for 'stablefit' in specified packages and libraries'. When I tried "??stablefit", it showed that the stablefit is in fBasics::Distributionfit. However, I have installed the fbasics package. I don't know how to solve this problem. Could anyone help me? Thank

Can anyone explain such different output: > stableFit(s,alpha = 1.75, beta = 0, gamma = 1, delta = 0, + type = c("q", "mle"), doplot = TRUE, trace = FALSE, title = NULL, + description = NULL) Title: Stable Parameter Estimation Call: .qStableFit(x = x, doplot = doplot, title = title, description = description) Model: Student-t Distribution Estimated

Hello, I've been trying to install the fBasics package on an openSuSe 11.3 64bit machine. It gives an error saying: WARNING: *R* *include* *directory* *is* *empty* -- *perhaps* *need* *to* *install* *R*-*devel*.*rpm* *or* similar Yet, R-devel is installed. Other packages work fine. I also tried different ways to install...install.packages() and R CMD INSTALL... The complete message is

Hello I do not know very much about statistics (and English language too :-( ), then I come in search of a clarification (explanation): I found two distinct results on KURTOSIS and I do not know which of them is the correct one. Any aid will be welcome! klebyn ################ CODE rnorm(1000) -> x library(moments) kurtosis(x) skewness(x) detach("package:moments")

Hi everyone, when I use the two sample Kolmogorov¨CSmirnov ks2Test like this: x=read.table("e:/x.txt") y=rstable(1000,alpha,beta,gamma,delta) I alway get results as follows: Warning messages: 1: In ks.test(x = x, y = y, alternative = "two.sided") : cannot compute correct p-values with ties 2: In ks.test(x = x, y = y, exact = TRUE, alternative = "two.sided")

I have a problem wirh R: After loding fBasics packages log funtion doesn't work like as fallow: Cenap ERDEMIR Hacettepe University Turkey > log(20) [1] 2.995732 > local({pkg <- select.list(sort(.packages(all.available = TRUE))) + if(nchar(pkg)) library(pkg, character.only=TRUE)}) Loading required package: fImport Loading required package: fSeries Loading required package: robustbase

When I try to load "fBasics" package, I get following error/warning : > library(fBasics) Loading required package: fImport Loading required package: fSeries Loading required package: fBasics Loading required package: fImport Loading required package: fSeries Loading required package: fBasics Loading required package: fImport Loading required package: fSeries Loading required package:

Dear R users, The function lmacfPlot( ) in fBasics, returns a list including the Hurst Exponent. I get sometimes a value for Hurst Exponent using lmacfPlot bigger than 1 which is theoretically incorrect. What could be reason ? From the related documents, I could not find how the Hurst Exponent in lmacfPlot is estimated. Could you please say how it is estimated here? Thank you so

Hi, I am using SVM from e1071 package. I can get decision values very easily. But whenever, I try to get the probability measure, it returns NULL. I use the following codes to generate decision.values and probability. Is there anything wrong in it? predictor<-svm(train[,c(x1, x2, x3)], train[,x4], probability=TRUE) pred<-predict(predictor, test[,c(x1, x2, x3)], probability=TRUE,