Deleting some columns of matrix and obtain the original column index.
3 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
Wan-Yi Chiu
am 24 Okt. 2018
Bearbeitet: Wan-Yi Chiu
am 24 Okt. 2018
Dear friends
I need really some help/advice. My problem is stated as follows.
The original data is a X=100*50 matrix. The dependent variable is a y=100*1 vector.
Step 1: I regress y on X and get the regression coefficient "b". (The statistic toolbox)
Step 2: Sorting the coefficient "b" and get the index "I".
Step 3: Delete the first column denoted by "I" and get the new matrix X.
Step 4: Repeat the procedures Step 1 -Step 3 20 times until the new matrix X contains only 100*30.
Step 5: How can use the for loop to get the original index of the new matrix X?
For example, let X be a 9*5 matrix and y=ones(9,1). My codes for "2 runs" are as follows:
X=[4 8 11 10 14; 12 9 8 12 13; 10 5 7 10 13;
25 16 5 7 7 ; 12 7 8 17 12; 18 15 13 18 31;
7 5 4 35 16; 6 14 10 15 4 ; 8 11 8 11 10]
Step 1:
[b,bint,r] = regress(y,X); %regress y on X, where b is the regression coefficient (Statistic Toolbox)
Step 2:
[B, I]=sortrows(b) %I is the original column index, in this case, I=[2 5 4 1 3]
Step 3:
X(:,2)=[] %Delete the column 2 of old X after sorting b
Step 4:
[b,bint,r] = regress(y,X); %regress y on X again
Step 5:
[B, I]=sortrows(b) %I is the new column index, in this case, I=[4 3 1 2]
Step 6:
X(:,4)=[] % Delete the column 4 of new X
Step 7: Thus, the new matrix contains only the columns 1,3,4 of the original matrix.
How can I get original index of X after deleting? In this case, just output [1 3 4]
What I need the code to do is the following:
0 Kommentare
Akzeptierte Antwort
KSSV
am 24 Okt. 2018
A = rand(100,50) ; % some random data
N = 20 ;
C = zeros(N,1) ;
for i = 1:N
[m,n] = size(A) ;
b = rand(n,1) ; % some random coefficients
[B,idx] = sort(b) ;
% remove the column
A(:,idx(1)) = [] ;
% save thew removed column
C(i) = idx(1) ;
end
% get the remained columns indics
iwant = setdiff(1:size(A,2),C) ;
0 Kommentare
Weitere Antworten (1)
Siehe auch
Kategorien
Mehr zu Matrix Indexing finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!