## The function is currently defined as
function(iterations=100,countdata,dimention){
## Randobly arrange the counts;
GSpermprev<-array();
for (i in 1:iterations){
perm<-matrix(sample(as.vector(countdata),size=2^(dimention*2),replace=FALSE),nrow=2^dimention,byrow=TRUE);
GSperm<-iterate(perm,dimention);
GSpermprev<-cbind(GSpermprev,GSperm[,3])
}
ret.val<-cbind(apply(GSpermprev[,-1],1,quantile,probs=c(.05)),apply(GSpermprev[,-1],1,quantile,probs=c(.95)))
}
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(GriegSmith)
Loading required package: spatstat
Loading required package: nlme
Loading required package: rpart
spatstat 1.45-2 (nickname: 'Caretaker Mode')
For an introduction to spatstat, type 'beginner'
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/GriegSmith/envelopes.Rd_%03d_medium.png", width=480, height=480)
> ### Name: envelopes
> ### Title: envelopes
> ### Aliases: envelopes
> ### Keywords: ~kwd1 ~kwd2
>
> ### ** Examples
>
>
> ## The function is currently defined as
> function(iterations=100,countdata,dimention){
+
+
+
+ ## Randobly arrange the counts;
+
+
+
+ GSpermprev<-array();
+
+ for (i in 1:iterations){
+
+ perm<-matrix(sample(as.vector(countdata),size=2^(dimention*2),replace=FALSE),nrow=2^dimention,byrow=TRUE);
+ GSperm<-iterate(perm,dimention);
+
+
+ GSpermprev<-cbind(GSpermprev,GSperm[,3])
+
+
+
+ }
+
+
+ ret.val<-cbind(apply(GSpermprev[,-1],1,quantile,probs=c(.05)),apply(GSpermprev[,-1],1,quantile,probs=c(.95)))
+
+
+ }
function (iterations = 100, countdata, dimention)
{
GSpermprev <- array()
for (i in 1:iterations) {
perm <- matrix(sample(as.vector(countdata), size = 2^(dimention *
2), replace = FALSE), nrow = 2^dimention, byrow = TRUE)
GSperm <- iterate(perm, dimention)
GSpermprev <- cbind(GSpermprev, GSperm[, 3])
}
ret.val <- cbind(apply(GSpermprev[, -1], 1, quantile, probs = c(0.05)),
apply(GSpermprev[, -1], 1, quantile, probs = c(0.95)))
}
>
>
>
>
>
> dev.off()
null device
1
>