work on draft R package

diff --git a/code/draft_R_pkg/R/main.R b/code/draft_R_pkg/R/main.R
index 4120b39..3411720 100644 (file)
--- a/code/draft_R_pkg/R/main.R
+++ b/code/draft_R_pkg/R/main.R
@@ -1,26 +1,39 @@
-epclust = function(data=NULL, con=NULL, raw=FALSE, K, nbPerChunk, ...)
+#TODO: setRefClass... to avoid copy data !!
+#http://stackoverflow.com/questions/2603184/r-pass-by-reference
+
+#fields: data (can be NULL or provided by user), coeffs (will be computed
+#con can be a character string naming a file; see readLines()
+#data can be in DB format, on one column : TODO: guess (from header, or col. length...)
+epclust = function(data=NULL, con=NULL, raw=FALSE, K, nbPerChunk, ..., where_to_store_tmp_data, and how ?)
+#options for tmp files: in RAM, on disk, on DB (can be distributed)
 {
 
 
-#TODO: just a wrapper which calls ppam.exe (system("...")) and reads output (binary) file to retrieve medoids + IDs
        #on input: can be data or con; data handled by writing it to file (ascii or bin ?!),
-       #con handled 
-
-
-       #options for tmp files: in RAM, on disk, on DB (can be distributed)
-
 
 
        if (!is.null(data))
        {
                #full data matrix
-               
+               index = 1
+               n = nrow(data)
+               while (index < n)
+               {
+                       getCoeffs(data
+                       index = index + nbSeriesPerChunk
+               }
        } else if (!is.null(con))
        {
                #incremental connection
                #read it one by one and get coeffs until nbSeriesPerChunk
                #then launch a clustering task............
+               readLines()
        } else
                stop("at least 'data' or 'con' argument must be present")
 
 }
+
+getCoeffs = function(series)
+{
+       #... return wavelets coeffs : compute in parallel !
+}