Mario,

I am certain there are more elegant solutions. This is an effort to make the 
process clear by dividing out each transformation used into separate lines.

## Start of code
library(stringi) # This is written in C and C++ (ICU library), is fast, and is 
well documented.
filenames <- c("Q_Read_prist#[email protected]", "Q_Read_prist#[email protected]", 
           "Q_Read_prist#[email protected]", "Q_Read_prist#[email protected]", 
           "Q_Read_prist#[email protected]", "Q_Read_prist#[email protected]", 
           "Q_Read_prist#[email protected]", "Q_Read_prist#[email protected]", 
           "Q_Read_prist#[email protected]", "Q_Read_prist#[email protected]", 
           "Q_Read_prist#[email protected]", "Q_Read_prist#[email protected]", 
           "Q_Read_prist#[email protected]", "Q_Read_prist#[email protected]", 
           "Q_Read_prist#[email protected]", "Q_Read_prist#[email protected]", 
           "Q_Read_prist#[email protected]", "Q_Read_prist#[email protected]", 
           "Q_Read_prist#[email protected]")
indx_list <- stri_split_regex(filenames, pattern = "[@.]")
indx <- sapply(indx_list, function(x) {x[[2]]})
filenames_df <- data.frame(file_name = filenames, indx = indx, 
                            stringsAsFactors = FALSE)
filenames_ordered <- filenames_df[order(as.numeric(filenames_df$indx)), 
                                    "file_name"]
filenames_ordered
## end of code
Mark


R. Mark Sharp, Ph.D.
Director of Primate Records Database
Southwest National Primate Research Center
Texas Biomedical Research Institute
P.O. Box 760549
San Antonio, TX 78245-0549
Telephone: (210)258-9476
e-mail: [email protected]







> On Dec 4, 2015, at 4:51 AM, BARLAS Marios 247554 <[email protected]> wrote:
> 
> Hello everyone,
> 
> I am an R rookie and I'm learning as I program.
> 
> I am working on a script to process a large amount of data: I read a pattern 
> of filenames in the folder I want and import their data
> 
> filenames = list.files(path, pattern="*Q_Read_prist*")
> 
> myfiles = lapply(filenames, function(x) read.xlsx2(file=x, sheetName="Data", 
> header=TRUE, FILENAMEVAR=x))
> 
> The problem is that R recognizes the files in a 'non human' order.
> 
> Q_Read_prist#[email protected]   Q_Read_prist#[email protected]
> Q_Read_prist#[email protected] Q_Read_prist#[email protected]
> Q_Read_prist#[email protected] Q_Read_prist#[email protected]
> Q_Read_prist#[email protected] Q_Read_prist#[email protected]
> Q_Read_prist#[email protected] Q_Read_prist#[email protected]
> Q_Read_prist#[email protected] Q_Read_prist#[email protected]
> Q_Read_prist#[email protected] Q_Read_prist#[email protected]
> Q_Read_prist#[email protected] Q_Read_prist#[email protected]
> Q_Read_prist#[email protected] Q_Read_prist#[email protected]
> Q_Read_prist#[email protected] Q_Read_prist#[email protected]
> Q_Read_prist#[email protected] Q_Read_prist#[email protected]
> Q_Read_prist#[email protected]   Q_Read_prist#[email protected]
> Q_Read_prist#[email protected]   Q_Read_prist#[email protected]
> Q_Read_prist#[email protected]   Q_Read_prist#[email protected]
> Q_Read_prist#[email protected]   Q_Read_prist#[email protected]
> Q_Read_prist#[email protected]   Q_Read_prist#[email protected]
> Q_Read_prist#[email protected]   Q_Read_prist#[email protected]
> Q_Read_prist#[email protected]   Q_Read_prist#[email protected]
> Q_Read_prist#[email protected]   Q_Read_prist#[email protected]
> 
> I tried to order them using order or sort but it doesn' seem to work. I have 
> had the same issue in matlab but there I have a function to re-define the 
> order in a "correct" way.
> 
> Anyone knows of a smart way to sort these guys from 1 to 19 ascending or 
> descending?
> 
> Thanks in advance,
> Mario
> 
>       [[alternative HTML version deleted]]
> 
> ______________________________________________
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