Re: [R] file creating

You could loop over the file names, read each excel file and store the individual data frames in a list using lapply. I prefer to read excel files with the package readxl. The code could be along the lines of library(readxl) my_files <- c("file1", "file2") lapply(my_files, read_excel) HTH

[R] file creating

I am using R(3.4.3), Win 7(extreme edition) 32 bit, I have 10 excel files data1,xls, data2.xls .. till data10.xls. I want to create 10 dataframes . How to do ? regards Parth [[alternative HTML version deleted]] __ R-help@r-project.org mailing

Re: [R] Confidence intervals around the MIC (Maximal information coefficient)

Hi David, Rui, Thanks for your precious responses. It works ! Best, De : David L Carlson .pt> Cc : "r-help@r-project.org" Envoyé le : Dimanche 10 décembre 2017 19h05 Objet : RE: [R] Confidence intervals around the

Re: [R] MSVAR model

> On Dec 9, 2017, at 8:51 PM, ah a via R-help wrote: > > Hello, > > As I'm interested to search about the monetary transmission channel in our > country by MSVAR model,Could you do me favor and tell me How I can run > different types of MSVAR model (such as

Re: [R] Confidence intervals around the MIC (Maximal information coefficient)

You need: myCor <- function(data, index){ mine(data[index, ])$MIC[1, 2] } results=boot(data = cbind(C,D), statistic = myCor, R = 2000) boot.ci(results,type="all") Look at the differences between: mine(C, D) and mine(cbind(C, D)) The first returns a value, the second returns a symmetric

Re: [R] Confidence intervals around the MIC (Maximal information coefficient)

Hi Rui, Many thanks. The R code works BUT the results I get are quite weird I guess ! MIC = 0.2650 Normal 95% CI = (0.9614, 1.0398) The MIC is not inside the confidence intervals ! Is there something wrong in the R code ? Here is the reproducible example : ##

Re: [R] Confidence intervals around the MIC (Maximal information coefficient)

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){

[R] Confidence intervals around the MIC (Maximal information coefficient)

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)