Error: Subscripting a table using linear indexing (one subscript) or multidimensional indexing (three or more subscripts) is not supported
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I have two weekly time series y1 and y1 with 1199 observations, and I want to estimate the correlation between between the two series using semblance analysis form this program, I used the command below to run the program
semblance(t,y1,y2,100);
where t is dates, y1 and y2 are my variables and 100 is number of scales
This is the code of the program
function s=semblance(t,y1,y2,nscales)
% SEMBLANCE(t,y1,y2,nscales)
% Produces a cross-correlation plot between two timeseries as a function of
% both time and wavelength
% *** Requires Matlab wavelet toolbox
% Type semblance; for demo with synthetic data
% Inputs;
% t Time axis
% y1,y2 Datasets to be compared
% nscales No. of scales/wavelengths to use - not more than length(t)...
% Outputs;
% s : Semblance; a matrix of values between -1 (anticorrelated),
% zero (uncorrelated), and +1 correlated
% *******************************************************
% *** Wavelet-Based semblance analysis
% *** GRJ Cooper 2005
% *** School of Geosciences, University of the Witwatersrand
% *** Johannesburg, South Africa
% *** cooperg@geosciences.wits.ac.za, grcooper@iafrica.com
% *** www.wits.ac.za/science/geophysics/gc.htm
% *******************************************************
% If you use this program please reference this paper;
% Cooper, G.R.J., and Cowan, D.R., 2008.
% Comparing Time Series using Wavelet Based Semblance Analysis
% Computers & Geosciences v.34(2) p.95-102.
%
% E-mail me for the pdf if you're interested
% ******************************************************
if nargin==0; % demo analysis
t=1:512;
y1=sin(t*0.05)+sin(t*0.15);
y2(1:170)=-sin(t(1:170)*0.05)+sin(t(1:170)*0.15);
y2(171:340)=sin(t(171:340)*0.05)+cos(t(171:340)*0.15);
y2(341:512)=cos(t(341:512)*0.05)-sin(t(341:512)*0.15);
nscales=100;
end;
y1(isnan(y1))=0; y2(isnan(y2))=0;
m1=mean(y1(:)); m2=mean(y2(:)); y1=y1-m1; y2=y2-m2;
nscales=round(abs(nscales));
c1=cwt(y1,1:nscales,'cmor1-1');
c2=cwt(y2,1:nscales,'cmor1-1');
ctc=c1.*conj(c2); % Cross wavelet transform amplitude
spt=atan2(imag(ctc),real(ctc));
s=cos(spt); % Semblance
% Display results
figure(1); clf;
currfig=get(0,'CurrentFigure'); set(currfig,'numbertitle','off');
set(currfig,'name','Wavelet Semblance Analysis');
y1=y1+m1; y2=y2+m2;
subplot(5,1,1); plot(t,y1); axis tight; title('Data 1');
subplot(5,1,2); imagesc(real(c1)); axis xy; axis tight; title('CWT'); ylabel('Wavelength');
subplot(5,1,3); plot(t,y2); axis tight; title('Data 2');
subplot(5,1,4); imagesc(real(c2)); axis xy; axis tight; title('CWT'); ylabel('Wavelength');
subplot(5,1,5); imagesc(s,[-1 1]); axis xy; axis tight; title('Semblance'); ylabel('Wavelength');
colormap(jet(256));
First I got this error
Undefined function 'isnan' for input arguments of type 'table'.
Error in semblance (line 41)
y1(isnan(y1))=0; y2(isnan(y2))=0;
However, this function is for detecting the NaN values in the arrays, and since there are no NaNs in my data, I removed this line from the code, then I ran it again
I got another error and I couldn't solve it
Error using semblance (line 42)
Subscripting a table using linear indexing (one subscript) or multidimensional indexing (three or more
subscripts) is not supported. Use a row subscript and a variable subscript.
No metter what I do, I keep getting this error,
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Accepted Answer
Matt J
on 24 Oct 2019
Convert your y1 and y2 to arrays before doing anything else:
function s=semblance(t,y1,y2,nscales)
if istable(y1), y1=table2array(y1); end
if istable(y2), y2=table2array(y2); end
...
end
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