start_id=[{'p1'};{'p2'};{'p1'};{'p1'};{'p3'}]; %cell
finish_id=[{'p2'};{'p3'};{'p3'};{'p4'};{'p4'}]; %cell
points_id=[{'p1'};{'p2'};{'p3'};{'p4'}]; %cell
m=numel(points_id);
for i=1:m
IndexC_minus(:,i) = strfind(start_id, points_id{i});
IndexC_positive(:,i) = strfind(finish_id, points_id{i});
end
I need to create IndexC_minus_double and IndexC_positive_double matrix as follows;
IndexC_minus_double=[-1 0 0 0;0 -1 0 0;-1 0 0 0;-1 0 0 0;0 0 -1 0]; %for each [1] cell, write -1 numeric and for each [] cell write 0 numeric.
IndexC_positive_double=[0 1 0 0;0 0 1 0;0 0 1 0;0 0 0 1;0 0 0 1]; %for each [1] cell, write 1 numeric and for each [] cell write 0 numeric.
Finally, I need to merge these 2 matrix as below;
merged_matrix=[-1 1 0 0;0 -1 1 0;-1 0 1 0;-1 0 0 1;0 0 -1 1]; % overlapped 0 produces 0 in the merged_matrix. The location of 1 and -1 in the IndexC_minus_double and IndexC_positive_double matrix are the same in the merged_matrix.

댓글 수: 1

Did you really mean to use strfind (which will find p1 in abcp1d) and not just compare the strings for equality with strcmp?
You have an odd way of constructing cell arrays. This is simpler:
start_id = {'p1'; 'p2'; 'p1'; 'p1'; 'p3'};

댓글을 달려면 로그인하십시오.

 채택된 답변

Andrei Bobrov
Andrei Bobrov 2016년 4월 21일
편집: Andrei Bobrov 2016년 4월 21일

1 개 추천

merged_matrix = bsxfun(@strcmp,finish_id,points_id')...
- bsxfun(@strcmp,start_id,points_id');
ADD
[~,~,c] = unique([start_id;finish_id;points_id]);
ii = zeros(numel(c),1);
n = cellfun(@numel,{start_id;finish_id;points_id});
ii(cumsum(n) - n + 1) = 1;
ii = cumsum(ii);
c3 = c(ii == 3)';
merged_matrix = bsxfun(@eq,c(ii==2),c3) - bsxfun(@eq,c(ii==1),c3)
in your case
v = {start_id;finish_id;points_id};
for ii = 1:3
a = regexp(v{ii},'\d','match');
v{ii} = str2double(cat(1,a{:}));
end
merged_matrix = bsxfun(@eq,v{2},v{3}') - bsxfun(@eq,v{1},v{3}');
other variant
n = numel(points_id);
s = repmat(start_id,1,n);
f = repmat(finish_id,1,n);
nn = repmat(points_id',numel(finish_id),1);
merged_matrix = strcmp(f,nn) - strcmp(s,nn);

댓글 수: 5

sermet
sermet 2016년 4월 21일
편집: sermet 2016년 4월 21일
Andrei, it gives this error;
Error using bsxfun
Operands must be numeric arrays.
IndexC_minus_double and IndexC_positive_double matrix should be created before bsxfun, I suppose.
Andrei Bobrov
Andrei Bobrov 2016년 4월 21일
편집: Andrei Bobrov 2016년 4월 21일
Hm! Octave is has of solution. See ADD part
sermet
sermet 2016년 4월 21일
could you modify it for matlab?
sermet
sermet 2016년 4월 21일
편집: sermet 2016년 4월 21일
Andrei, it gives,
Error using -
Matrix dimensions must agree
merged_matrix = bsxfun(@eq,c(ii==2),c3) - bsxfun(@eq,c(ii==1),c3)
from codes,
bsxfun(@eq,c(ii==2),c3)= []
bsxfun(@eq,c(ii==1),c3)=Empty matrix: 3-by-0
sermet
sermet 2016년 4월 21일
thank you very much, Andrei.

댓글을 달려면 로그인하십시오.

추가 답변 (1개)

Guillaume
Guillaume 2016년 4월 21일

3 개 추천

This is probably much simpler than Andrei's answer. I assume you meant to use strcmp in your original example:
IndexC_minus_double = cell2mat(cellfun(@(s) -strcmp(s, points_id)', start_id, 'UniformOutput', 0))
IndexC_positive = cell2mat(cellfun(@(s) +strcmp(s, points_id)', finish_id, 'UniformOutput', 0))
merged_matrix = IndexC_minus_double + IndexC_positive
Note that I assume that -1 and +1 don't overlap for the merge matrix since you haven't said what happens if this is the case

카테고리

도움말 센터File Exchange에서 Data Types에 대해 자세히 알아보기

질문:

2016년 4월 21일

댓글:

2016년 4월 21일

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by