view m-toolbox/test/test_ao_lincom.m @ 17:7afc99ec5f04 database-connection-manager

Update ao_model_retrieve_in_timespan
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 16:20:06 +0100
parents f0afece42f48
children
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% Test script for ao/lincom
%
% $Id: test_ao_lincom.m,v 1.5 2010/03/19 16:56:24 ingo Exp $
%

%% Make some data
ple = plist('Exceptions', {'created', 'proctime', 'UUID', 'methodInvars', 'plistUsed', 'ao/name'});

fs    = 10;
nsecs = 10;
x1 = ao(plist('tsfcn', 'randn(size(t))', 'fs', fs, 'nsecs', nsecs, 'yunits', 'T'));
x2 = ao(plist('tsfcn', 'randn(size(t))', 'fs', fs, 'nsecs', nsecs, 'yunits', 'm'));
x3 = ao(plist('tsfcn', 'randn(size(t))', 'fs', fs, 'nsecs', nsecs, 'yunits', 'C'));
n  = ao(plist('tsfcn', 'randn(size(t))', 'fs', fs, 'nsecs', nsecs, 'yunits', 'm'));
c = [ao(1,plist('yunits','m/T')) ao(2,plist('yunits','m/m')) ao(3,plist('yunits','m C^-1'))];
y = c(1)*x1 + c(2)*x2 + c(3)*x3 + n;
y.simplifyYunits;
% Get a fit for c
p_m = lscov(x1, x2, x3, y);

% do linear combination: list + plist with pest
yfit_01 = lincom(x1, x2, x3, plist('coeffs', p_m));
r01 = yfit_01.rebuild();
eq(yfit_01, r01, ple)


% do linear combination: list + plist with vector of cdata aos
yfit_02 = lincom(x1, x2, x3, plist('coeffs', p_m.find));
r02 = yfit_02.rebuild();
eq(yfit_02, r02, ple)

% do linear combination: vector + plist with pest
yfit_03 = lincom([x1, x2, x3], plist('coeffs', p_m));
r03 = yfit_03.rebuild();
eq(yfit_03, r03, ple)

% do linear combination: vector + plist with vector of cdata aos
yfit_04 = lincom([x1, x2, x3], plist('coeffs', p_m.find));
r04 = yfit_04.rebuild();
eq(yfit_04, r04, ple)

% do linear combination: list + pest
yfit_05 = lincom(x1, x2, x3, p_m);
r05 = yfit_05.rebuild();
eq(yfit_05, r05, ple)

% do linear combination: list + vector of cdata aos
yfit_06 = lincom(x1, x2, x3, p_m.find);
r06 = yfit_06.rebuild();
eq(yfit_06, r06, ple)

% do linear combination: vector pest
yfit_07 = lincom([x1, x2, x3], p_m);
r07 = yfit_07.rebuild();
eq(yfit_07, r07, ple)

% % do linear combination: vector + vector of cdata aos
yfit_08 = lincom([x1, x2, x3], p_m.find);
r08 = yfit_08.rebuild();
eq(yfit_08, r08, ple)

%% Make some data
fs    = 10;
nsecs = 10;
B1 = ao(plist('tsfcn', 'randn(size(t))', 'fs', fs, 'nsecs', nsecs, 'yunits', 'T'));
B2 = ao(plist('tsfcn', 'randn(size(t))', 'fs', fs, 'nsecs', nsecs, 'yunits', 'T'));
B3 = ao(plist('tsfcn', 'randn(size(t))', 'fs', fs, 'nsecs', nsecs, 'yunits', 'T'));
n  = ao(plist('tsfcn', 'randn(size(t))', 'fs', fs, 'nsecs', nsecs, 'yunits', 'm'));
c = ao([1 2 3], plist('yunits','m/T')); 

% do linear combination: list + cdata ao with coefficients
yfit_11 = lincom(B1, B2, B3, c);
r11 = yfit_11.rebuild();
eq(yfit_11, r11, ple)

% do linear combination: vector + cdata ao with coefficients
yfit_12 = lincom([B1, B2, B3], c);
r12 = yfit_12.rebuild();
eq(yfit_12, r12, ple)

% do linear combination: list + plist with vector of double
yfit_13 = lincom(B1, B2, B3, plist('coeffs', p_m.y));
r13 = yfit_13.rebuild();
eq(yfit_13, r13, ple)

% do linear combination: vector + plist with vector of double
yfit_14 = lincom([B1, B2, B3], plist('coeffs', p_m.y));
r14 = yfit_14.rebuild();
eq(yfit_14, r14, ple)