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December 17, 2015 04:29
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test
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| ln2i <-function(num_iters) { ## Iterative version | |
| i <- 2 | |
| s <- 1 | |
| while (i < num_iters) { | |
| ifelse(i%%2==0, s <- s - 1/i, s <- s + 1/i) | |
| i <- i + 1 | |
| } | |
| return(s) | |
| } | |
| ln2r <- function(num_iters) { # Recursive version | |
| if (num_iters==1) | |
| return(1) | |
| if (num_iters%%2==0) | |
| return(ln2(num_iters-1) - 1/num_iters) | |
| return(ln2(num_iters-1) + 1/num_iters) | |
| } | |
| ln2(10) |
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| library(zoo) | |
| #pdf("meanandmedian.pdf", paper="a4") | |
| #setwd('c:/Users/mwl/Dropbox/R') | |
| x<-c(1:200) | |
| y<-40-0.1*x+rlnorm(x,0,2) | |
| plot(x,y, main="40-0.1*x+rlnorm(x,0,2)\nRAW") | |
| abline(40,-.1) | |
| ymean<-rollmean(y,21, na.pad=TRUE) | |
| ymedian<-rollmedian(y,21, na.pad=TRUE) | |
| plot(x,ymean,main="40-0.1*x+rlnorm(x,0,2)\nRolling mean, 21 observations") | |
| abline(40,-.1) | |
| plot(x,ymedian,main="40-0.1*x+rlnorm(x,0,2)\nRolling median, 21 observations") | |
| abline(40,-.1) | |
| #dev.off() |
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