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Hi everyone,I have a data daily data (x) for 10 years starting from 04-01-1995 to 03-31-2005. I was able to get the yearly sum for the ten years using aggregate(x, years, sum). But this gave me the yearly sum for 1995 (Apr- Dec); 1996 (Jan-Dec) ---------2005 (Jan-Mar). But I want to get the aggregates for Apr-1995 to Mar 1996, Apr 1996- mar 1997 and so on. your help will be higly appreciated.

Hello everyone, I am trying to use while loop to iterate a function until convergence. But I am having problem when I try to use a fixed number of iterations. Say I want to use maximum iteration of 150. If the value don't converge within maximum iteration, show warning of no convergence. Currently I don't have non- convergence problem so I think my code works fine. But in future I may

Hello Everyone,I think this is a very simple problem, I have been struggling with it for a few days now. I have a 10-year daily data in the following format. Date A B C D E 1978-10-22 18 20.64 0.0 0.176 -1.76 1978-10-23 15 17.06 0.4 0.147 2.52 1978-10-24 3 7.588 0.0 0.068 -6.86 1978-10-25 9 11.491 0.0 0.102

Hello everybody, I have two datasets, observed and predicted. Since my observed dataset is not in regular intervals, I need to filter my predicted dataset based on the measurement date of my observed data. Here, is an example similar to what I have library(chron);library(zoo) DATE<- seq(as.Date("2009-01-01"), as.Date("2009-05-01"), by = 1) mydat<- rnorm(length(DATE),

Hello everyone, I have a data generated in a way similar to the following library(chron);library(zoo) date<- seq(as.Date("1990-01-01"),, as.Date("2000-12-31"), by = 1) obs<- zoo(rnorm(length(date), mean = 10, sd = 2.5), order.by = date) monthly<- function(date) as.Date(as.yearmon(Date)) result<- data.frame ( Date = obs = aggregate(obs, monthly, sum)) Now, I want

Dear List,I am trying to use rep function in the following conditions A = c( 5, 6, 7, 11, 9, 12, 10, 15) B = c(12,15, 21, 31, 25, 27,32, *34*,13,12, 34, 33, 24, 29, 26, *28*,22,14,27,22,21,12,32, 16) I need to repeat each element of A, as many times as each element of B, for the entire length of B. for example, repeat 5, for 12 times, 6 for 15 times,........, 15 for 34 times, and then, again, 5

Hi everyone, This might be a very petty thing but Its not working for me. I want to export an output to a txt file but without indexing. Here is what I have tried to do outfile<- function(Time, var.names, output) { var.names = c(names(para)) for(i in 1: ncol(output)){ cat(length(var.names), '\n') cat("A", "S", "C", "I", '\n')

Hello, I have a question regarding a way to control the appreance of output exported by R when I use capture.output( x, file = "Directory/file.txt") , I get a text file which when I paste to a word file looks like the first table below. The following table has its clumns spaced closely so when I paste it to a word file it looks continuous. Is there any option in R to make the outputs

Hello everyone, I am trying to solve 2D differential equations using finite difference scheme in R. I have been able to work with the equations with only one spatial dimensions but I want to extend it to the two dimensional problem. For example i can simulate one dimensional diffusion using a code like the following. But I want to write a similar code for,say, a two dimensional diffusion