Splitting a large vector into smaller ones of random size
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I have "larger" vector made of indexes of an another array so all its component are in order and whole numbers. These numbers forms smallers continous sequences that depends on the signal I'm working on, and therefore can be considered more or less random. My goal is to isolate these smaller sequences. I'm pretty sure there's an easy way to do that but I can't figure it out :/
ex: index = [1 13 14 15 16 17 36 37 38 41 42 43 44 46 47 51 52 53 ...]
I would like to get:
index_1 = [1]
index_2 = [13 14 15 16 17]
index_3 = [36 37 38] . . .
What i have for now only works if these sequences are of equal size :/
count=0; cl=1;
A=zeros(16,5);
for i= 2:length(index);
h1=index(i-1);
h2=index(i);
if(h2-h1)>1;
count=(count+1);
A(:,count)=index(cl:i-1);
cl=i;
end
end
2 Kommentare
John D'Errico
am 1 Mär. 2017
It is a BAD idea to set up multiple numbered variables. Your code will be slow, inefficient, buggy, difficult to work with if you do.
Instead, learn to use tools like cell arrays, so that you can store vectors and arrays of any shape and size in each cell. Then you simply use curly braces {} for indexing. ONE variable, instead of dozens of numbered variables.
@paco: creating lots of variable names dynamically is not a good way to write code:
As everyone here has already said, you should use a cell array.
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Andrei Bobrov
am 2 Mär. 2017
out = mat2cell(index(:)',1,diff([find([true;diff(index(:)) > 1]);numel(index)+1])');
2 Kommentare
Jan
am 2 Mär. 2017
@Andrei: +1. I like your solution, because it looks like C code: as if somebody had rolled an angry armadillo over the keyboard :-)
Andrei Bobrov
am 3 Mär. 2017
Wow! Jan you are a poet! I like your comment.
John BG
am 1 Mär. 2017
Bearbeitet: John Kelly
am 2 Mär. 2017
Hola Paco
tal y como se indica en el HELP del MATLAB, si sigues las recomendaciones indicadas, 'evalin' es un comando muy popular y muy potente para generar código 'on the loop', un tema avanzado que los expertos no acostumbran a largar si no es pagando por sus servicios.
mira si las siguientes líneas te son de utilidad:
1. generación de la respuesta numérica
index = [1 13 14 15 16 17 36 37 38 41 42 43 44 46 47 51 52 53];
dindex=[1 logical(diff(index)-1) 1]
[n,v]=find(dindex>0)
s=diff(v)
for k=1:1:numel(s) % generating the n umerical answer
L{k}=(index(v(k))-1)+[1:1:s(k)]
end
verificando
L{:}
ans =
1
ans =
13 14 15 16 17
ans =
36 37 38
ans =
41 42 43 44
ans =
46 47
ans =
51 52 53
2. generación dinámica de las variables
str1=repmat('index_',numel(L),1) % generating variable name headers
N0=num2str(100+[1:1:numel(L)]');N0(:,1)=[] % generating numerals in variable names
N1=repmat('=[',numel(L),1)
N2=repmat(']',numel(L),1)
str2=[str1 N0 N1]
for k=1:1:numel(L)
L2=[str2(k,:) num2str(L{k})]
evalin('base',[L2 ']'])
end
Comentario: he generado los nombres de variables con 2 dígitos, con '0' hasta llegar a la decena, porque habiendo requerido algo similar, encontré de utilidad poder disponer de las variables por orden alfabético. Si las nombras 'index_1' 'index_2' .. 'index_10' 'index_11' .. si las necesitas ordenadas alfabéticamente las primeras 9 variables quedarían relegadas por tener nombres más cortos. Si quieres los nombres de las primeras 9 variables sin '0' no es problema, puedo variar el script.
atentamente, a la espera de respuesta
John BG
3 Kommentare
John BG
am 2 Mär. 2017
vale, de nada, otra vez será
Walter Roberson
am 3 Mär. 2017
The experts do not usually refer to evalin() because using it is expensive in terms of the time spent debugging, the insecurity, the high likelihood of hidden bugs, and the extra time cost it often imposes.
Sometimes you need to use evalin('caller') to extend MATLAB syntax, such as the way the "syms" command is implemented, but it has many of the same dangers as eval() does.
Avoiding evalin() is a way of making projects less expensive, as the cost of fixing bugs later typically far exceeds the cost of writing code correctly early.
The Systems Sciences Institute at IBM has reported that “the cost to fix an error found after product release was four to five times as much as one uncovered during design, and up to 100 times more than one identified in the maintenance phase.”
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