I'm nearly finished with my RA job for my professor; however, I have a programming question that is stumping me. The last step in the implementation that my professor asked me to do is that I need to run all the functions that I wrote for a matrix. What is going to happen is that for each column of that matrix, I will call a function that I wrote, which for example, looks like this:
function [xpeaks, xtroughs]=peaktrough(x,cutoff)
% This function is a modified version of the algorithm used to identify
% peaks and troughs in a series of prices. This will be used to identify
% the head and shoulders algorithm. The function gives you two vectors:
% PEAKS - an indicator vector that identifies the peaks in the function,
% and TROUGHS - an indicator vector that identifies the troughs of the
% function, and a MATRIX - ptdata, which is a matrix of the location and
% the value of the peak/trough.
% The input is the vector of exchange rate series, and the cutoff
% used for the selection of the final peaks and troughs.
% Finding all possible peaks and troughs of our vector.
[posspeak,possploc]=findpeaks(x);
[posstrough,posstloc]=findpeaks(-x);
posspeak=posspeak';
posstrough=posstrough';
% Initialize vector of peaks and troughs.
numobs=length(x);
prelimpeaks=zeros(numobs,1);
prelimtroughs=zeros(numobs,1);
numpeaks=numel(possploc);
numtroughs=numel(posstloc);
% Indicator for possible peaks and troughs.
for i=1:numobs
for j=1:numpeaks
if i==possploc(j);
prelimpeaks(i)=1;
end
end
end
for i=1:numobs
for j=1:numtroughs
if i==posstloc(j);
prelimtroughs(i)=1;
end
end
end
% Vector that gives location.
location=1:1:numobs;
location=location';
% From the list of possible peaks and troughs, find the peaks and troughs
% that fit Chang and Osler [1999] definition.
% "A peak is a local minimum at least x percent higher than the preceding
% trough, and a trough is a local minimum at least x percent lower than the
% preceding peak." [Chang and Osler, p.640]
peakcutoff=1.0+cutoff; % cutoff for peaks
troughcutoff=1.0-cutoff; % cutoff for troughs
% First peak and first trough are initialized as previous peaks/troughs.
prevpeakloc=possploc(1);
prevtroughloc=posstloc(1);
% Initialize vectors of final peaks and troughs.
vectpeak=zeros(numobs,1);
vecttrough=zeros(numobs,1);
% We first check whether we start looking for peaks and troughs.
for i=1:numobs
if prelimpeaks(i)==1;
if i>prevtroughloc;
ratio=x(i)/x(prevtroughloc);
if ratio>peakcutoff;
vectpeak(i)=1;
prevpeakloc=location(i);
else vectpeak(i)=0;
end
end
elseif prelimtroughs(i)==1;
if i>prevpeakloc;
ratio=x(i)/x(prevpeakloc);
if ratio<troughcutoff;
vecttrough(i)=1;
prevtroughloc=location(i);
else vecttrough(i)=0;
end
end
else
vectpeak(i)=0;
vecttrough(i)=0;
end
end
% Now from the final peaks and troughs, we now write the matrix of the
% peaks and troughs of the exchange rate series.
xpeaks=find(vectpeak);
xtroughs=find(vecttrough);
end
Now, the thing is, however, for different columns, I will end up with vectors of different sizes. What I want to know is, how do I go about it? I have 20 user-created functions, and for each function, I need to run each of the columns in the 5000 x 10000 matrix.
A friend of mine suggested that I write a function that gets the nth column of my matrix, and then returns it as a vector, then run each of the functions of my matrix for that resulting vector. Any other ideas? Actually, to be honest, I do not know how to write that function that he suggested. Thanks!