Re: [R-es] desviacion estandard

La desviación típica no depende de la escala. Si incluyes valores que se repiten o que tienen poca variabilidad sería de esperar que pase eso, aunque sea en uno de los extremos... Un saludo, Rubén. El 7/11/2015 9:43, "Albert Montolio" escribió: > Hola chic@s, > >

Re: [R] Help scatterplot3d

Hi Julian, As I don't have access to "datos", I had to make it up. The following does what I expected. library(scatterplot3d) #datos<-read.csv("C:\\prueba.csv",sep=",",header=TRUE) #str(datos) datos<-data.frame(Bx=runif(40),e=runif(40),t=runif(40)) scatterplot3d(datos) s3d<- scatterplot3d(datos,

Re: [R-es] datos dependientes o independientes

Hola, ¿qué tal? No, no son independientes y estrictamente, no podrías usar el test de Student. Aunque nunca he visto que hayan despedido a nadie por usarlo sin que se cumplan las hipótesis de partida. Una vez vi un pequeño artículo que trataba exactamente tu problema, pero no lo he ubicado.

[R] LDA select number of topics

Hi all, I've seen recently this great post by Nikita Murzintcev http://rpubs.com/nikita-moor/107657. If I understood correctly, according to Griffiths (2004) I should select 11 topics? But, it seems that other metrics suggest quite different number of topics? I mean, 11 topics is about the right

Re: [R] Prefix

> On Nov 8, 2015, at 4:05 PM, Val wrote: > > HI all, > > DF <- read.table(textConnection(" X1 X2 X3 TIME > Alex1 0 0 1960 > Alexa 0 01920 > Abbot 0 0 0 > Smith Alex1 Alexa2012 > Carla Alex1

Re: [R] Alternatives for explicit for() loops

You need to take a close look at the function incomb that you are creating. I see what appears to be a constant value ("*( gamma((1/beta)+1))*((alpha)^(-(1/beta)))") being computed that you might only have to compute once before the function. You are also referencing many variables (m, LED, j,

[R] Prefix

HI all, DF <- read.table(textConnection(" X1 X2 X3 TIME Alex1 0 0 1960 Alexa 0 01920 Abbot 0 0 0 Smith Alex1 Alexa2012 Carla Alex1 01996 JackySmith Abbot2013 Jack 0 Jacky2014

Re: [R] Alternatives for explicit for() loops

While I fully agree with Jim's comments, you may also need to understand the notion of time complexity in algorithm analysis. All the mentioned speed-ups are basically linear, in the sense that they accelerate a single step of your algorithm. However if your algorithm has combinatorial

Re: [R] ggplot2 different Y axis scales

Thank you to Dennis and Jeff, The scales = "free_y" did exactly what I needed. Just in case some one else has the same problem, the code is below. Take Care David p <- ggplot(data = SS, aes(x=Year, y=Sulfate, col=Detections)) + geom_point(aes(shape=Detections)) + ##sets the colors

[R] NULL dev.lis()

All, I have previous built R from source many times, generally, without problems. However on my new Ubuntu 15.04 Linux system with R 3.2.2 when I run the command dev.list() I get: > dev.list() NULL At the completion of running ./configure, I have R is now configured for x86_64-pc-linux-gnu

Re: [R] Alternatives for explicit for() loops

Thanks all for replying. In fact I've used the the Rprof() function and found out that the incomb() function (in my code above) takes about 80% of the time, but I didn't figure out which part of the function is causing the delay. So I thought that this may be due to the for() loops. I MUST run

[R-es] datos dependientes o independientes

Hola chic@s, tengo una del volumen de negocio en internt en espanha desde enero 1996 hasta diciembre 2008. Quiero saber si la media del periode 1996-2000 y la media del periodo 2001-2008 son iguales. Para ello quiero realizar un contraste de hipotesis con R. Mi pregunta es, son datos

Re: [R-es] desviacion estandard

Hola, ¿qué tal? Lo que te pasa no es tan raro: set.seed(1234) muestra <- abs(rnorm(100)) sd(muestra) #[1] 0.5811866 muestra.ceros <- c(muestra, rep(0, 10)) sd(muestra.ceros) #[1] 0.03196273 En una muestra de números positivos, añadir un cero (sobre todo si está lejos de la media) sube la

Re: [R] NULL dev.lis()

Dear Tom, Running R 3.2.2 on Ubuntu 15.04, if I run dev.list(), I get NULL. And I guess it is the expected behavior, as per the help page, it "returns the numbers of all open devices, except device 1, the null device". So, if I run x11() dev.list() I get X11cairo 2 HTH, Pascal On Mon,