function [Samples1,Labels,testS1,testL]=createset(value1,standdata)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%value1是對應的全體類別號，要求從1開始；
%%standdata是對應value1的樣本數據，不包含類別號；
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%按value1的類別號進行排序%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
[row column]=size(standdata);
[value,order]=sort(value1);
for i=1:column
    datai=standdata(:,i);
    orderi=datai(order);
    standdata(:,i)=orderi;
end
%%%%找到最大類別號，并按2/3和1/3進行測試集和訓練集的分割%%%%%%%%%%%%%%%%%
catenu=max(value);
classnu=[];
trainnu=[];
beginloc=[1];
overnu=0;
overnut=0;
overloc=[];
overloct=[];
Samples1=[];
Labels=[];
testS1=[];
testL=[];
for i=1:catenu
  number=length(find(value==i));
  classnu=[classnu,number];
  trainnu=[trainnu,round(number*1/3)];
  overnut=overnut+number;
  beginloc=[beginloc,overnut+1];
  overnu=beginloc(i)+round(number*1/3)-1;
  overloc=[overloc,overnu];
  overloct=[overloct,overnut];
 
  Samples1=[Samples1;standdata(beginloc(i):overloc(i),:)];
  Labels=[Labels;value(beginloc(i):overloc(i))];
  testS1=[testS1;standdata(overloc(i)+1:overloct(i),:)];
  testL=[testL;value(overloc(i)+1:overloct(i))];
end