function [datafit,Amps,freqs,Fval,sig]=fitlinesc(data,params,p,plt,f0)
% fits significant sine waves to data (continuous data).
%
% Usage: [datafit,Amps,freqs,Fval,sig]=fitlinesc(data,params,p,plt,f0)
%
% Inputs:
% Note that units of Fs, fpass have to be consistent.
% data (data in [N,C] i.e. time x channels/trials or a single
% vector) - required.
% params structure containing parameters - params has the
% following fields: tapers, Fs, fpass, pad
% tapers : precalculated tapers from dpss or in the one of the following
% forms:
% (1) A numeric vector [TW K] where TW is the
% time-bandwidth product and K is the number of
% tapers to be used (less than or equal to
% 2TW-1).
% (2) A numeric vector [W T p] where W is the
% bandwidth, T is the duration of the data and p
% is an integer such that 2TW-p tapers are used. In
% this form there is no default i.e. to specify
% the bandwidth, you have to specify T and p as
% well. Note that the units of W and T have to be
% consistent: if W is in Hz, T must be in seconds
% and vice versa. Note that these units must also
% be consistent with the units of params.Fs: W can
% be in Hz if and only if params.Fs is in Hz.
% The default is to use form 1 with TW=3 and K=5
%
% Fs (sampling frequency) -- optional. Defaults to 1.
% fpass (frequency band to be used in the calculation in the form
% [fmin fmax])- optional.
% Default all frequencies between 0 and Fs/2
% pad (padding factor for the FFT) - optional (can take values -1,0,1,2...).
% -1 corresponds to no padding, 0 corresponds to padding
% to the next highest power of 2 etc.
% e.g. For N = 500, if PAD = -1, we do not pad; if PAD = 0, we pad the FFT
% to 512 points, if pad=1, we pad to 1024 points etc.
% Defaults to 0.
% p (P-value to calculate error bars for) - optional.
% Defaults to 0.05/N where N is data length.
% plt (y/n for plot and no plot respectively) - plots the
% Fratio at all frequencies if y
% f0 frequencies at which you want to remove the
% lines - if unspecified the program
% will compute the significant lines
%
%
% Outputs:
% datafit (linear superposition of fitted sine waves)
% Amps (amplitudes at significant frequencies)
% freqs (significant frequencies)
% Fval (Fstatistic at all frequencies)
% sig (significance level for F distribution p value of p)
data=change_row_to_column(data);
[N,C]=size(data);
if nargin < 2 || isempty(params); params=[]; end;
[tapers,pad,Fs,fpass,err,trialave,params]=getparams(params);
clear pad fpass err trialave;
if nargin < 3 || isempty(p);p=0.05/N;end;
if nargin < 4 || isempty(plt); plt='n'; end;
if nargin < 5; f0=[]; end;
params.tapers=dpsschk(tapers,N,Fs); % calculate the tapers
[Fval,A,f,sig] = ftestc(data,params,p,plt);
if isempty(f0);
fmax=FindPeaks(Fval,sig);
freqs=cell(1,C);
Amps=cell(1,C);
datafit=data;
for ch=1:C;
fsig=f(fmax(ch).loc);
freqs{ch}=fsig;
Amps{ch}=A(fmax(ch).loc,ch);
Nf=length(fsig);
% fprintf('The significant lines for channel %d and the amplitudes are \n',ch);
% for nf=1:Nf;
% fprintf('%12.8f\n',fsig(nf));
% fprintf('%12.8f\n',real(A(fmax(ch).loc(nf),ch)));
% fprintf('%12.8f\n',imag(A(fmax(ch).loc(nf),ch)));
% fprintf('\n');
% end;
datafit(:,ch)=exp(i*2*pi*(0:N-1)'*fsig/Fs)*A(fmax(ch).loc,ch)+exp(-i*2*pi*(0:N-1)'*fsig/Fs)*conj(A(fmax(ch).loc,ch));
end;
else
indx = zeros( length(f0) );
for n=1:length(f0);
[fsig,indx(n)]=min(abs(f-f0(n)));
end;
fsig=f(indx);
for ch=1:C;
freqs{ch}=fsig;
Amps{ch}=A(indx,ch);
Nf=length(fsig);
% fprintf('For channel %d the amplitudes and the Fstatistic at f=%f are \n',ch,f0);
% fprintf('Fstatistic = %12.8f Fthreshold = %12.8f\n',Fval(indx),sig);
% fprintf('Real part of amplitude = %12.8f\n',real(A(indx,ch)));
% fprintf('Imaginary part of amplitude = %12.8f\n',imag(A(indx,ch)));
datafit(:,ch)=exp(i*2*pi*(0:N-1)'*fsig/Fs)*A(indx,ch)+exp(-i*2*pi*(0:N-1)'*fsig/Fs)*conj(A(indx,ch));
end;
end;