similar to: Installing required packages with an R package

R-package-devel is the better venue, as r-packages is only for announcements. On May 7, 2018 12:17:34 PM PDT, Bert Gunter <bgunter.4567 at gmail.com> wrote: >This is better posted on the R-packages mailing list, not here. > >Cheers, >Bert > >Bert Gunter > >"The trouble with having an open mind is that people keep coming along >and >sticking things into

Thanks, Jeff. I stand corrected. -- Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Mon, May 7, 2018 at 12:22 PM, Jeff Newmiller <jdnewmil at dcn.davis.ca.us> wrote: > R-package-devel is the better venue, as r-packages is

This is better posted on the R-packages mailing list, not here. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Mon, May 7, 2018 at 11:06 AM, Polychronis Kostoulas < polychronis.kostoulas at gmail.com> wrote: > Dear

> On Apr 26, 2018, at 6:46 AM, Polychronis Kostoulas <polychronis.kostoulas at gmail.com> wrote: > > Dear All, > apologies if this is basic: I am writing a function: > > fb<-function(mean, median, mode, a, b=0.95, lower=F) > {....} > > The arguments mean, median and mode are mutually exclusive (i.e. the user > should define only one of these). How do I

Dear All, apologies if this is basic: I am writing a function: fb<-function(mean, median, mode, a, b=0.95, lower=F) {....} The arguments mean, median and mode are mutually exclusive (i.e. the user should define only one of these). How do I code this within the function? Thanks, Pol [[alternative HTML version deleted]]

Workshop on Bayesian methods and WinBUGS *************************************** A two-day workshop on Bayesian methods is being held on Friday 3 - Saturday 4 February 2012 at the University of Sydney. This course is suitable for graduate students, academics, researchers and professionals who wish to introduce themselves in the application of Bayesian methods and the use of WinBUGS software.

I created this package, https://github.com/lucasmation/microdadosBrasil which we are preparing for Cran submission. The package facilitates downloading and reading most of the microdatasets (household surveys, Census, etc). For each dataset it: (a) downloads the data from the data providers (b) "unzip" the necessary files (c) imports the data into R. For (b), some of the datasets

Always cc the list unless there is good reason to keep your reply private. There is no LSmeans() function in the lsmeans package. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Tue, Feb 13, 2018 at 3:20 PM, Pius Mwansa

... and if you need to convert back: ?as.hexmode -- Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Sat, Apr 16, 2016 at 8:20 AM, Bert Gunter <bgunter.4567 at gmail.com> wrote: > ?strtoi > > You'll have to remove

A cursory reading indicates that they are identical; but others more knowledgeable than I need to confirm or deny this. -- Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Tue, Feb 13, 2018 at 3:38 PM, Pius Mwansa <pmwansa at

... and I'm getting another cup of coffee... -- Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Tue, Apr 19, 2016 at 10:30 AM, Bert Gunter <bgunter.4567 at gmail.com> wrote: > NO NO -- I am wrong! The paste() expression is

It is in the doBy package. Thanks From: Bert Gunter [mailto:bgunter.4567 at gmail.com] Sent: Tuesday, February 13, 2018 4:32 PM To: Pius Mwansa <pmwansa at shaw.ca> Cc: R-help <r-help at r-project.org> Subject: Re: [R] LSmeans and lsmeans Always cc the list unless there is good reason to keep your reply private. There is no LSmeans() function in the lsmeans package.

If you show us, not just tell us about, a self-contained example someone might show you a non-hacky way of getting the job done. (I don't see an argument to plyr::ddply called 'transform'.) Bill Dunlap TIBCO Software wdunlap tibco.com On Tue, Apr 19, 2016 at 12:18 PM, Michael Artz <michaeleartz at gmail.com> wrote: > Oh thanks for that clarification Bert! Hope you enjoyed

r-package-devel is the right mailing list for your query, not here. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Thu, Mar 29, 2018 at 6:56 AM, Lucas Ferreira Mation <lucasmation at gmail.com> wrote: > I created

Again, IQR returns two both a .25 and a .75 value and it failed, which is why I didn't use it before. Also, the first function just returns tha same value repeating. Since they are the same, before the second call, using the mode function is just a way to grab one value. I could have used average, min, max, they all would have returned the same thing. Mike On Tue, Apr 19, 2016 at 7:24 PM,

Ok is there a way to do it with decision tree? I just need to make the decision rules. Perhaps I can pick one of the trees used with Random Forrest. I am somewhat familiar already with Random Forrest with respective to bagging and feature sampling and getting the mode from the leaf nodes and it being an ensemble technique of many trees. I am just working from the perspective that I need

Good morning, Is there a package that replaces the sgd package to explore the Gradient Descent (SGD) t echnique ? Best regards, *~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~ Tony *~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~* [[alternative HTML version deleted]]

Well, instead of your functions try: Mode <- function(x) { tabx <- table(x) tabx[which.max(tabx)] } and use R's IQR function instead of yours. ... so I still don't get why you want to return a character string instead of a value for the IQR; and the mode of a sample defined as above is generally a bad estimator of the mode of the distribution. To say more than that would

Dear Bert, thank you for suggestion. I am aware of R-help function. I must apologize, my earlier question could lead to assumptions otherwise. As you can see below, I only get Std. error but not lower and Upper CIs. I was wondering if there is another argument or method, could give CIs which I cannot find anywhere. Thanks Adrian > Nsurv <-

"Does that help?" No. I am not your private consultant. You need to reply to the list, which I have cc'ed here, not just me. I am still somewhat confused by your specifications, but others may not be. Part of my confusion stems from your failure to provide a reproducible example (see e.g. the posting guide linked below). For example, I cannot tell from your text whether the Abc