Re: [R] Arrange data

Hello, And here is another way, with aggregate. Make up test data. set.seed(2020) df1 <- expand.grid(Year = 2000:2018, Month = 1:12) df1 <- df1[order(df1$Year),] df1$Value <- sample(20:30, nrow(df1), TRUE) head(df1) #Use subset to keep only the relevant months aggregate(Value ~ Year, data =

Re: [R] hist from a list

Hello, Thanks for the data in dput format. If you run str(bwchist) you will see that what you have is a data.frame, yes, but, with columns of class "list", not vectors. So the first step is to make them vectors, to unlist the lists. I will do it applying function unlist() to each of the

Re: [R] [FORGED] Dependent Variable in Logistic Regression

All: Kindly take this offline please. 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, Aug 3, 2020 at 12:39 PM Abby Spurdle wrote: > > Sorry, Abby, I do

Re: [R] [FORGED] Dependent Variable in Logistic Regression

> Sorry, Abby, I do disagree here ((strongly enough as to warrant > this reply) : Which part are you disagreeing with? That unambiquous names/references should be used, or that there are many R functions for GLMs. The wording of your post, suggests (kind of), that there is only one R function for

Re: [R-es] State-of-the-art NLP models from R

Diego, Existe una razón (de peso) para no hacer este análisis directamente con Python? Saludos, Jorge.- El El lun, 3 de ago. de 2020 a la(s) 11:58 a. m., Diego Martín < ako.siste...@gmail.com> escribió: > Estimado Carlos: > > Hago lo que me dices y creo que poniéndote el

Re: [R-es] State-of-the-art NLP models from R

Estimado Carlos: Hago lo que me dices y creo que poniéndote el resultado seré más expresivo y claro, que tratando de explicarlo. (r-reticulate) MacBook-Pro-de-Diego:~ Diego$ python Could not find platform independent libraries Could not find platform dependent libraries

[R] [R-pkgs] faq v0.1.0 on CRAN

R Users, I’m writing to introduce a new package, faq. This package offers a fast tool to create an interactive and toggle styling Frequently Asked Questions page by using R data. Hopefully you find this useful. Please feel free to reach out with feedback or questions. CRAN:

Re: [R] Double MAD with R

Hello, No, there isn't a built-in that I know of. Here is one: double.mad <- function(x, include.right = FALSE, na.rm = FALSE){   if(na.rm) x <- x[!is.na(x)]   m <- median(x)   odd <- (length(x) %% 2L) == 1L   out <- if(odd){     if(include.right) {   c(lo = mad(x[x < m]), hi = mad(x[x >=

[R] Double MAD with R

Dear R-Experts, Is there an all-ready function to calculate the Double MAD (Median absolute deviation) as there is an easy function to calculate the MAD "mad function". Or I have to write my own function for Double MAD ? To calculate the double MAD, the idea is the following : for the obtained

Re: [R-es] State-of-the-art NLP models from R

Hola Diego, Prueba a hacer otra cosa. - Abre una consola y activa ese environment que has creado (r-reticulate) - Y una vez activado escribe "python". Entrarás a la consola de "python". - Ahí, escribe "import transformers" - Si no te devuelve error, es que en el entorno está bien

Re: [R-es] State-of-the-art NLP models from R

Estimados compañeros: Muchísimas gracias a todos por responderme. Especialmente a Carlos Ortega que, como siempre, me ha vuelto a enseñar el camino. El asunto era exactamente como decía Carlos; habiendo yo aplicado la

Re: [R] Arrange data

On 2020-08-03 21:11 +1000, Jim Lemon wrote: > On Mon, Aug 3, 2020 at 8:52 PM Md. Moyazzem Hossain > wrote: > > > > Hi, > > > > I have a dataset having monthly > > observations (from January to > > December) over a period of time like > > (2000 to 2018). Now, I am trying to > > take an

Re: [R] Arrange data

Hi Md, One way is to form a subset of your data, then calculate the means by year: # assume your data is named mddat mddat2<-mddat[mddat$month < 7,] jan2jun<-by(mddat2$value,mddat2$year,mean) Jim On Mon, Aug 3, 2020 at 8:52 PM Md. Moyazzem Hossain wrote: > > Hi, > > I have a dataset having

[R] tidyquant package

Dear all, I am trying to follow along/ recreate this page ( but I do not get the same results) :- https://bookdown.org/sstoeckl/Tidy_Portfoliomanagement_in_R/s-2Data.html Here is a reprex / what I have done till now / my queries ( 3 in number ) are as comments :- > library(tidyquant) Loading

[R] Arrange data

Hi, I have a dataset having monthly observations (from January to December) over a period of time like (2000 to 2018). Now, I am trying to take an average the value from January to July of each year. The data looks like YearMonth Value 20001 25 20002 28 20003

[R] useR! 2020 survey

Dear All, We hope you have been able to watch/attend some of the breakout sessions, keynotes, R core panel, contributed tutorials, or online tutorials that were part of the useR! 2020 program. We'd appreciate it you took 5 minutes to let us know a bit more about yourself and what you thought

Re: [R] Parsing a Date

Hello, I'm reposting, I sent the previous in HTML format. My apologies, I'm not at my computers. And another solution, taking advantage of Rasmus' one: simplify2array(parallel::mclapply(c(  "%Y",  "%m",  "%d",  "%H"), function(fmt, x) {  as.integer(format(as.POSIXct(x), format = fmt)) }, x =

Re: [R] [FORGED] Dependent Variable in Logistic Regression

> Abby Spurdle > on Sun, 2 Aug 2020 15:13:51 +1200 writes: > That's a bit harsh. Isn't the best advice here, to post a > reproducible example... Which I believe has been > mentioned. > Also, I'd strongly encourage people to use > package+function name, for this