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2013 Feb 02
1
repeating autocovariate functions
...9671 (and 150 more) To calculate the autocovariate terms my code is as follows: library(spdep) Taranga <- read.csv(file.choose()) #contains xy coordinates xy <- cbind(Taranga$x, Taranga$y) acinvb <- autocov_dist(Taranga$burrows.pa, xy, nbs=1,zero.policy = TRUE, type="inverse") datfrm <- data.frame(autocov=acinvb, nbs=1) write.table(dfrm, file = 'results.csv',sep=",",row.names = FALSE) acinva <- autocov_dist(Taranga$burrows.pa, xy, nbs=100,zero.policy = TRUE, type="inverse") dfrm <-data.frame(autocov=acinva, nbs=100) names(datfrm) <-...
2012 Sep 28
2
Converting array to matrix
Hi, I have a 3d array as below, I want to make this array to a matrix of p=50(rows) and n=20(columns) with the coverage values . The code before the array is: library(binom) Loading required package: lattice pi.seq<-seq(from = 0.01, to = 0.5, by = 0.01) no.seq<-seq(from = 5, to = 100, by = 5) cp.all = binom.coverage( p = pi.seq, n = no.seq , conf.level = 0.95, method = "exact")