similar to: Trouble understanding the behaviour of stableFit(fBasics)

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

I'm using stableFit from the package fBasics to estimate the parameters of a truncated normal distribution (I'm interested in the parameters of the underlying normal distribution). It is correct to generalize this truncated normal distribution as a stable distribution ? Thanks David -- View this message in context:

I have a number of files containing anywhere from a few dozen to a few thousand integers, one per record. The statement "refdata18 = read.csv("K:\\MerchantData\\RiskModel\\Capture.Week.18.csv", header = TRUE,na.strings="")" works fine, and if I type refdata18, I get the integers displayed, one value per record (along with a record number). However, when I try "

Warranty on Accuracy, Precision, Legality, ... of R in Research (These questions may well have been raised.) What is the implied warranty of using R for research & publications, consulting, etc.? Alternately, how does one obtain such a warranty? Your answers will be much appreciated. Perhaps you can point me to some websites which discussed this subject in the past. Thanks & regards

###Dear R users ###I have been using SensoMineR package from CRAN for most of my work in sensory data analysis and from my usage experience, I encountered some areas for improvement and considered ###modifying the function in SensoMineR package for my personal use. I felt that it could be useful to share this to the community for enabling adoption by other users where they might require a

I am trying something I haven't attempted before and the available documentation doesn't quite answer my questions (at least in a way I can understand). My usual course of action would be to extract my data from my DB, do whatever manipulation is necessary, either manually or using a C++ program, and then import the data into R. Now I need to try to do it all within R+RMySQL+MySQL. I

> On Jan 26, 2018, at 9:51 AM, MacQueen, Don <macqueen1 at llnl.gov> wrote: > > What Dave said, plus here's a hint. Try this example (which uses base graphics): > > plot(1:5) > plot(1:5, cex.lab=2) > > Then look at the help page for par > help('par') > or > ?par > to search for other graphics parameters (base graphics) you can use to

Concerning the Rmetrics packages, (1) There is a _much_ better thing to do than >simply ... to remove the stuff related to MS Win from zzz.R; > in partricular the lines after if( .... ) to clear your message. > As you can see, the info relates to the WinMenu under MS Win. as Janusz Kawczak suggests, and that is to *wrap* the troublesome code in if

Hello All, A simple question. I get some return from the R in my C++ program (via Rcpp package). The result come, as SEXP and it should be a simple numeric variable. How to convert it to double? The code, what i use: stringstream ss; ss << "p <- predict(fit_ar11, n.ahead = 2, doplot=FALSE);" << "p$pred[1]"; SEXP ans; int iRet =

Hello, I am new to R and for some of my research work I am using 'fArma' package to estimate the Hurst parameter of a time series. When I am ding the following command : rsFit(data, doplot = TRUE) I am getting the R/S plot for that time series with default plot title, font size. However, I want to change the axis size, font size etc of

The documentation say that additional arguments will be passed. I suspect this will be a base graphics plot. You should look at the code of plot.rsfit to determine which arguments get processed. Sent from my iPhone > On Jan 25, 2018, at 10:30 AM, Moyukh Laha <laha.moyukh at gmail.com> wrote: > > Hello, > I am new to R and for some of my research work I am using

What Dave said, plus here's a hint. Try this example (which uses base graphics): plot(1:5) plot(1:5, cex.lab=2) Then look at the help page for par help('par') or ?par to search for other graphics parameters (base graphics) you can use to change various things. Success will depend, as Dave indicated, on how the package author handled the plotting options in rsFit(). -Don --

Hello R-list, I am plotting a weighted linear regression in R. The points on my chart are also scaled to sample size, so some points are large, some are small. I have figured out everything I need using the plot() function: how to plot the points, scale them by sample size, weight the linear regression by sample size, plot that line, and plot the labels for the points. However, although the

this is not a problem with R but a request for related advice. i am trying to run a lengthy batch job from my home. the OS is ... Linux jedi.bwh.harvard.edu 2.4.22-openmosix1smp #1 SMP Fri Sep 5 01:05:37 CEST 2003 i686 athlon i386 GNU/Linux i start the job and put it in the background. while i am connected, all is well. eventually my ISP shuts down the connection if i do not do any input.

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"

Hi, I am trying to calculate probability density of normal inverse gaussian distribution. I am using dnig function of fBasics package. However, I am getting following result. The density at x = 0.003042866 is: > dnig(x= 0.003042866, alpha=5.184868, beta= 0.11841, delta= 0.06038513, mu= -0.0003520626) [1] 6.550251 I am not sure why it is 6.550251. Can anyone tell me why density is more than

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")