Home > NoiseTools > nt_bsplot_diff.m

# nt_bsplot_diff

## PURPOSE

nt_bsplot_diff(x,y,sds,style,abscissa,zeroflag,rmsflag) - plot average difference with bootstrap standard deviation

## SYNOPSIS

function nt_bsplot_diff(x,y,band,style,abscissa,zeroflag)

## DESCRIPTION

    nt_bsplot_diff(x,y,sds,style,abscissa,zeroflag,rmsflag) - plot average difference with bootstrap standard deviation

      x, y: data (time * trials, or time * 1 * trials)
      band: width of band to plot in standard deviations (default: 2)
      style: 'zerobased' (default) or 'meanbased'
      abscissa: use this vector as plot's abscissa (as in 'plot(abscissa,x)' )
      zeroflag: if 1 draw zero line (default: 1)

      Bootstrap uses N=1000 iterations.

      Example:
        nt_bsplot_diff(x,y)
      where x and y are time*trials will plot the average of x - y over trials, together
      with +/- 2SDs of the bootstrap resampling.

     NoiseTools.

## CROSS-REFERENCE INFORMATION

This function calls:

- nt_bsmean_diff [mn,sd]=nt_bsmean_diff(x1,x2,N) - calculate mean, estimate sd using bootstrap

This function is called by:

## SOURCE CODE

    0001 function nt_bsplot_diff(x,y,band,style,abscissa,zeroflag)
    0002 %nt_bsplot_diff(x,y,sds,style,abscissa,zeroflag,rmsflag) - plot average difference with bootstrap standard deviation
    0003 %
    0004 %  x, y: data (time * trials, or time * 1 * trials)
    0005 %  band: width of band to plot in standard deviations (default: 2)
    0006 %  style: 'zerobased' (default) or 'meanbased'
    0007 %  abscissa: use this vector as plot's abscissa (as in 'plot(abscissa,x)' )
    0008 %  zeroflag: if 1 draw zero line (default: 1)
    0009 %
    0010 %  Bootstrap uses N=1000 iterations.
    0011 %
    0012 %  Example:
    0013 %    nt_bsplot_diff(x,y)
    0014 %  where x and y are time*trials will plot the average of x - y over trials, together
    0015 %  with +/- 2SDs of the bootstrap resampling.
    0016 %
    0017 % NoiseTools.
    0018
    0019 if nargin<6 || isempty(zeroflag) ; zeroflag=1; end
    0020 if nargin<5; abscissa=[]; end
    0021 if nargin<4 || isempty(style); style='zerobased'; end
    0022 if nargin<3 || isempty(band); band=2; end
    0023 if nargin<2; error('!'); end
    0024
    0025 x=squeeze(x);
    0026 if ndims(x)>2; error('X should have at most 2 non-singleton dimensions'); end
    0027 [m,n]=size(x);
    0028 if n<2; error('bootstrap resampling requires more than 1 column'); end
    0029 y=squeeze(y);
    0030 if ndims(y)>2; error('Y should have at most 2 non-singleton dimensions'); end
    0031 [m2,n2]=size(y);
    0032 if n2<2; error('bootstrap resampling requires more than 1 column'); end
    0033
    0034 if m ~= m2; error('X and Y should have same number of rows'); end
    0035
    0036 if isempty(abscissa); abscissa=1:m; end
    0037 if numel(abscissa) ~= size(x,1); error('abscissa should be same size as first dim of x and y'); end
    0038
    0039 N=1000;
    0040 [a,b]=nt_bsmean_diff(x,y,N);
    0041
    0042
    0043 if strcmp(style,'zerobased');
    0044     Y=[b;-flipud(b)]';
    0045 elseif strcmp(style,'meanbased');
    0046     Y=[b+a;flipud(-b+a)]';
    0047 else
    0048     error('!');
    0049 end
    0050 abscissa=abscissa(:);
    0051 X=[abscissa;flipud(abscissa)];
    0052 C=0.7*[1 1 1];
    0053 fill(X,Y,C,'edgecolor','none');
    0054 hold on;
    0055 plot(abscissa,a*0,'k');
    0056 plot(abscissa,a);
    0057 hold off
    0058
    0059 % return
    0060 %
    0061 % abscissa2=linspace(min(abscissa),max(abscissa),m*2);
    0062 % plot(abscissa2,b,'g');
    0063 % c=get(gca,'children'); set(c(1),'color',[.7 .7 .7])
    0064 % hold on;
    0065 % plot(abscissa,a,'b');
    0066 % if zeroflag;
    0067 %     plot(abscissa,0*a,'k');
    0068 %     c=get(gca,'children'); set(c(1),'color',[.5 .5 .5])
    0069 % end
    0070 % %set(gca,'xlim',[1 m])
    0071 % hold off