[R] 3-day moving average for block maxima

Dear r-users, I would like to construct 3-day moving average for block maxima series. I tried this: bmthree <- lapply(split(dt, dt$Year), function(x) max(sapply(1:(nrow(x)-2), function(i) with(x, mean(Amount[i:(i+2)],na.rm=TRUE) bmthree and got the following output.

Re: [R-es] impute TS y resultados en consola.

Hola. Yo no he usado el paquete antes y es altamente probable que esté entendiendo mal la pregunta pero intentaré responder. Me parece que el argumento principal de las funciones del paquete son un vector o una serie de tiempo. Dependiendo de cuál función te estés refiriendo pudiera haber un

Re: [R] a difficult situation, how to do this using base function.

1. Please always reply to the list, especially here so that others can see your clarification. 2. What happens if your match.start value exceeds all the cumulative sums?? -- you seem to imply that this cannot happen. Your minimal example, while a little confusing (to me) and in html -- this can

Re: [R] a difficult situation, how to do this using base function.

This is a plain text email list. Please learn how to explain this to your email client because what YOU saw before you sent it is not what WE saw after it bounced through the mailing list, and that can lead to misunderstandings. If at all possible you should try to augment your table with an

[R] a difficult situation, how to do this using base function.

Hello, I have a following dataframe with many rows. data.frame(match.start=c(5,10,100,200),range.coordinates=c("1000-1050","1500-1555","5000-5050,6000-6180","100-150,200-260,600-900")) match.start range.coordinates 5 1000-1050 10 1500-1555

Re: [R] Installing rpy2 on Red Hat 6

On Thu, Jul 20, 2017 at 10:53 AM, Marc Schwartz wrote: > >> On Jul 20, 2017, at 7:53 AM, Larry Martell wrote: >> >> I need to install rpy2 on RHEL6. The version of R in the 6 repos is >> 3.0, and rpy2 does not work with that version. I installed R

[R] Problem with mclapply in package parallel

Dear fellow R users, I am experiencing some problem using function mclapply from recommended R package parallel. This problem is a bit "deep in source code" (maybe r-devel list would be more appropriate ?). Actually, I have noticed on a specific Linux HPC system that the various readChild()

[R-es] impute TS y resultados en consola.

Hola estimados. Alguien ha utilizado alguna vez el paquete IMPUTE_TS? La verdad es que es bastante recomendable, sin embargo hay un tema que no he podido resolver. El programa te entrega los resultados en la consola...sin embargo, la idea es rellenar los (N.A) del dataset ORIGINAL. La

[R] axis() after image.plot() does not work except if points() is inserted between

It is known (several discussions on internet) that axis() cannot be used after fields:::image.plot() (axis() shows nothing). However, if points(1.5, 1.5, type="p") is inserted before the axis() finctions, it works. I have investigated what points(1.5, 1.5, type="p") is doing to allow axis

Re: [R] dynamically create columns using a function

Hi Elie, Thanks for your time and efforts. I plugged in the calculation I wanted to do in the code you provided and got I wanted perfectly. Below is the solution to my original problem. # dataset dem<- structure(list(id = c("L1", "L2", "L3", "M1", "M2", "M3"), TEST_SET_NAME = c("A", "A",

Re: [R] dynamically create columns using a function

Hi, I don't know about the lazyeval package or what you are trying to do but to answer the main question "How to create columns dynamically using a function?" I would do something like that: # dataset dem <- structure(list(id = c("L1", "L2", "L3", "M1", "M2", "M3"), TEST_SET_NAME = c("A", "A",