similar to: Questions regarding to JohnSonFit() in the R package Johnson {SuppDists}

Hi all; I'm working with the library SuppDists trying to fit a Johnson's Sb distribution to a dataset. It works fine, but I need to set one of the location parameters (epsilon) to zero. How can I do this using the function JohnsonFit() or any other similar? ...and Is it possible to define the type (SN,SL,SB,SU) or the library assumes the type automatically depending on the data? Thanks

cor.test and SuppDists give me different P-values for the same Spearman's rho. Which is correct, or am I doing something wrong? > x <- c(44.4, 45.9, 41.9, 53.3, 44.7, 44.1, 50.7, 45.2, 60.1) > y <- c( 2.6, 3.1, 2.5, 5.0, 3.6, 4.0, 5.2, 2.8, 3.8) > cor.test(x,y,method="spearman") Spearman's rank correlation rho data: x and y S = 48, p-value =

Dear R users, I hope to explain the concepts of skewness and kurtosis by generating series of distributions with same skewness and different kurtosis or with same kurtosis and different skewness, but it seems that i cannot find the right functions. I have searched the mailing list, but no answers were found. Is it possible to do that in R? Which function could be used? Thanks a lot. --

Hello, I'm Carla, an italian student, I'm looking for a package to transform non normal data to normality. I tried to use Box Cox, but it's not ok. There is a package to use Johnson families' transormation? Can you give me any suggestions to find free software as R that use this trasform? Thank yuo very much Carla ____________________________________________________________ 6X

I want only to ignore the arp request for alias ip ,at the same time I don't want disable the arp function of the interface ? How do ? thanks! --------------------------------- DO YOU YAHOO!? ÑÅ»¢Ãâ·ÑGÓÊÏ䣭ÖйúµÚÒ»¾øÎÞÀ¬»øÓʼþɧÈų¬´óÓÊÏä From vova at fbsd.ru Fri Jul 1 13:12:10 2005 From: vova at fbsd.ru (Vladimir Grebenschikov) Date: Fri Jul 1 13:12:12 2005 Subject: how to ignore

The Nonclinical Statistics & Computing group at Johnson & Johnson is searching for individuals to help in the mission of discovering, developing, manufacturing, and delivering beneficial medicines for patients. The group resides within the Janssen R&D organization in Johnson & Johnson's pharmaceutical segment. Realistically we need individuals with skills and motivation to

The Statistics & Decision Sciences community at Johnson & Johnson is searching for individuals to help in the mission of discovering, developing, manufacturing, and delivering beneficial medicines for patients. The group resides within the Janssen R&D organization in Johnson & Johnson's pharmaceutical segment. We need individuals with skills and motivation to consistently and

Hello, I was wondering if anyone could please help me with some simple questions regarding ANCOVA and the assumption of homogeneity of slopes. The standard design of ANCOVA assumes the homogeneity of regression coefficients of the different groups. This assumption can be tested using the factor ?? covariate interaction, which should subsequently be removed. However if this assumption is not

Has anyone ever used J-edit from Johnson Amplifiers with wine? It is a utility for managing effects presets on Johnson's J-station guitar effects processor. I found one entry in the app database that contained no useful info for me. This program seems to install fine, but when I attempt to run it, it pops up a message box that reads 'Bad SysEx data received' and the program freezes.

I am about to try this out on a j-station I just picked up. Glad to see someone has done some work on it for Linux. hoping it does what I need.

Todd, I experienced a similar problem. I know it sounds trivial... I used the version of Samba that came with the install CD of RHLinux 7.3, and got it running well. Then I read about the bugs and so I upgraded to Samba 2.2.8a. Afterwards, whenever I would make any changes to /etc/samba/smb.conf, I would not see any difference in Samba's behavior. Then I ran testparm and I noticed

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Dear R-helpers, I am trying to fit my data to a 4-parameter lognormal distribution (aka Johnson Sb dist) with fitdist function from the library(fitdistrplus). So far, I have learnt that with "mle" method it's not always possible to estimate the gamma and delta parameters even if the bounding estimates are "known"/"guessed". Therefore, I tried to fit it with the

Hi, I am trying to fit a Johnson SB distribution using fitdist function in fitdistrplus Library. I have defined the Johnson SB distribution from ( http://www.ntrand.com/johnson-sb-distribution/) . But it gives me the follwing errors. Any help would be appreciated #xi = xi #lambda =l #delta =d #gamma = g djohn = function(x,xi,l,d,g) (d/(l*sqrt(2*pi)*((x-xi)/l)*(1-((x-xi)/l))))*exp[-0.5*(g +

Hey, I'm trying to implement a GARCH model with Johnson-Su innovations in order to simulate returns of financial asset. The model should look like this: r_t = alpha + lambda*sqrt(h_t) + sqrt(h_t)*epsilon_t h_t = alpha0 + alpha1*epsilon_(t-1)^2 + beta1 * h_(t-1). Alpha refers to a risk-free return, lambda to the risk-premium. I've implemented it like this: #specification of the model

SuppDists is orphaned on CRAN (and has been since 2013). https://cran.r-project.org/web/checks/check_results_.html Oddly, the simulate method for the inverse.gaussian family [inverse.gaussian()$simulate] depends (in a loose sense) on SuppDists (it fails if the SuppDists namespace is not available: if (!requireNamespace("SuppDists", quietly = TRUE)) stop("need CRAN

On 2019-09-25 3:26 a.m., Martin Maechler wrote: >>>>>> Ben Bolker >>>>>> on Tue, 24 Sep 2019 20:09:55 -0400 writes: > > > SuppDists is orphaned on CRAN (and has been since 2013). > > https://cran.r-project.org/web/checks/check_results_.html > > > Oddly, the simulate method for the inverse.gaussian family > >

Ah, I spoke too soon. I started putting the demo code into a test suite and ran one check with valgrind and ? sure enough ? there's def more issues (a cpl functions) than the overt/easy ones (and, I went back to the check results page and, also sure enough, they're there, too). They look to be fairly straightforward to resolve but it's going to take a bit longer than "this

Or, a crazy person (me) cld volunteer to keep this running and get it back on CRAN. I fixed the severe warning and also added C-side registration code. The pkg is monolithic but the C code is super straightforward (a is the R code). Unless someone can think of a reason not to, I can submit this to CRAN this week and get the source up on social coding sites. It looks like Jerome Braun did this

>>>>> Ben Bolker >>>>> on Tue, 24 Sep 2019 20:09:55 -0400 writes: > SuppDists is orphaned on CRAN (and has been since 2013). > https://cran.r-project.org/web/checks/check_results_.html > Oddly, the simulate method for the inverse.gaussian family > [inverse.gaussian()$simulate] depends (in a loose sense) on SuppDists > (it