similar to: Need help in R code of the functional data .

Good morning dear administrators, Please help me to code this code in R. I use in this file the redescription function ? which by making a scalar product gives a . You can also choose instead of the redescription function ? a kernel k(x,x). Sincerely [[alternative HTML version deleted]]

Hm. Google tells me that kernel function is in stats package which comes with base installation and is invoked when you start R. search() [1] ".GlobalEnv" "package:stats" "package:graphics" [4] "package:grDevices" "package:utils" "package:datasets" [7] "package:methods" "Autoloads"

What do you *mean* "when you want to use the kernels". WHICH kernels? Use to do WHAT? In your browser, visit cran.r-project.org then select "Packages" from the list on the left. Then pick the alphabetic list. Now search for 'kernel'. You will find dozens of matches. On Wed, 14 Oct 2020 at 05:15, PIKAL Petr <petr.pikal at precheza.cz> wrote: > Hm. Google tells

Hello, I need to generate the functional data in R programming but I can't do it. Please, an example of R code that generates the functional data can help me. Thank you and have a nice day [[alternative HTML version deleted]]

Hi Dr. Snow, & R-helpers, Thank you for your reply! I hadn't heard of the {microbenchmark} package & was excited to try it! Thank you for the suggestion! I did check the reference source for which() beforehand, which included the statement to remove NAa, and I didn't have any missing values or NAs: sum(is.na(dat$gender2)) sum(is.na(dat$gender)) sum(is.na(dat$y)) [1] 0 [1] 0 [1]

Hi Albrecht, I am forwarding your reply to the full group. It's been a while since I did this and I don't remember the details. Maybe someone else can comment. (I am a bit busy at the moment.) If no one supplies the information in a few days I will try to take a look. In the meantime you can start your reading on-line. :-) Regards, Eric Dear Eric, I downloaded the material from

On Tue, 13 Mar 2018, Mark Leeds wrote: > See Hadley's advanced R +1 A very well writte, highly useful book. Recommended. Rich

Hello. Here is my R code. I used the functional data . Now I need to use the functional data by applying the kernels instead of the xi, yi functions. Bonjour. Voici mon code en R . J'ai utiliser les donn?es fonctionnelles . Maintenant j'ai besoin d'utiliser les donn?es fonctionnelles en appliquant les noyaux ? la place des fontions xi, yi library(MASS)

I recommend reading it directly via the website, or buying the book. If you are trying to build a PDF, then the "obvious" question is whether you have LaTeX installed, which is an operating-system-dependent procedure handled outside of R. -- Sent from my phone. Please excuse my brevity. On March 14, 2018 9:39:53 AM PDT, Eric Berger <ericjberger at gmail.com> wrote: >Hi

Hello: Could you please suggest the best way to become an "advanced" R programmer. I went through "R for dummies" by de Vries and Meys and I can see two ways to proceed: 1) Get a more advanced textbook. E.g. could you recommend Gentleman, "R for Bioinformatics"? 2) Because textbooks are limited and become obsolete fast, I can focus on learning state-of-the-art

Good evening dear administrators, It is with pleasure that I am writing to you to ask for help to finalize my R programming algorithm. Indeed, I attach this note to my code which deals with a case of independence test statistic . My request is to introduce the kernels using the functional data for this same code that I am sending you. So I list the lines for which we need to introduce the

See Hadley's advanced R along Thomas Mailund's books. I haven't gone through them carefully but they both seem (from what I've looked at ) to be the best ones for that. Mentions of others are appreciated. On Tue, Mar 13, 2018 at 5:26 PM, Nik Tuzov <ntuzov at beacon.partek.com> wrote: > > Hello: > > Could you please suggest the best way to become an

Buenas, Alguien puede recomendarme un manual avanzzado de R, que me enseñe por ejemplo como aplicar tapply con sacar la pendiente de una recta, y cosas así. Gracias Jesús [[alternative HTML version deleted]]

Good Morning, I am doing some research to develop a new course where I teach. I am looking for a book to use in the course content to teach accomplishing SQL in R. Does anyone know of a book on this topic to recommend for consideration? Thank You, -- *Stephen Dawson, DSL* /Executive Strategy Consultant/ Business & Technology +1 (865) 804-3454 http://www.shdawson.com

I think a simple reproducible example ("reprex") may be necessary for you to get a useful reply. Questions with vague specifications such as yours often result in going round and round with attempts to clarify what you mean without a satisfactory answer. Clarification at the outset with a reprex may save you and others a lot of frustration. Cheers, Bert On Sat, Nov 4, 2023 at 1:41?AM

I found there's a very good functional set of operations in R, such as apply family, Hadley Wickham's lovely plyr, etc. There's even a Reduce (a.k.a. fold). Now I wonder how can we do pattern-matching? E.g., now I split dimensions like this: m <- dim(V)[1] # R n <- dim(V)[2] # still R While even Matlab allows for [m,n] = size(V) % MATLAB! Ideally I'd be able to

Depending on your application, I'm not sure there's much point in being an "advanced R programmer" these days. Become an adequate R programmer, and learn C++ and Rcpp. Do basic data mashing in R, then do all your intensive stuff in C++ with Rcpp. Eventually you'll probably get to the point where you can express yourself in C++ as fast as you can in interpreted R, with the

Dear Jeff, Latex is also required for the R-manuals in the base R installation, and for this it works fine on my PC. Best, Albrecht -- Albrecht Kauffmann alkauffm at fastmail.fm Am Mi, 14. M?r 2018, um 17:50, schrieb Jeff Newmiller: > I recommend reading it directly via the website, or buying the book. > > If you are trying to build a PDF, then the "obvious"

Hi guys, I am working on some code for automatically translating recursive functions into looping functions to implemented tail-recursion optimisations. See https://github.com/mailund/tailr As a toy-example, consider the factorial function factorial <- function(n, acc = 1) { if (n <= 1) acc else factorial(n - 1, acc * n) } I can automatically translate this into the loop-version

Interestingly, the <<- operator is also a lot faster than using a namespace explicitly, and only slightly slower than using <- with local variables, see below. But, surely, both must at some point insert values in a given environment ? either the local one, for <-, or an enclosing one, for <<- ? so I guess I am asking if there is a more low-level assignment operation I can get my