Hello,
First of all, when I tried to use function mic I got an error.
mic(cbind(C, D))
Error in mic(cbind(C, D)) : could not find function "mic"
So I've changed your function myCor and all went well, with a warning
relative to BCa intervals.
myCor <- function(data, index){
mine(data[index, ])$MIC
}
results=boot(data = cbind(C,D), statistic = myCor, R = 2000)
boot.ci(results,type="all")
Hope this helps,
Rui Barradas
On 12/10/2017 3:19 PM, varin sacha via R-help wrote:
Dear R-Experts,
Here below is my R code (reproducible example) to calculate the confidence
intervals around the spearman coefficient.
##########
C=c(2,4,5,6,3,4,5,7,8,7,6,5,6,7,7,8,5,4,3,2)
D=c(3,5,4,6,7,2,3,1,2,4,5,4,6,4,5,4,3,2,8,9)
cor(C,D,method= "spearman")
library(boot)
myCor=function(data,index){
cor(data[index, ])[1,2]
}
results=boot(data=cbind(C,D),statistic=myCor, R=2000)
boot.ci(results,type="all")
##########
Now, I would like to calculate the CIs around the MIC (Maximal information
coefficient). The MIC can be calculated thanks to the library(minerva). I don’t
get the CIs for the MIC, I don’t know how to change my R codes to get the CIs
around the MIC. Any help would be highly appreciated :
##########
library(minerva)
mine(C,D)
library(boot)
myCor=function(data,index){
mic(data[index, ])[1,2]
}
results=boot(data=cbind(C,D),statistic=myCor, R=2000)
boot.ci(results,type="all")
##########
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______________________________________________
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and provide commented, minimal, self-contained, reproducible code.
