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spm_DesRep.m
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spm_DesRep.m
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function varargout = spm_DesRep(varargin)
% Design reporting utilities
% FORMAT varargout = spm_DesRep(action,varargin)
%
% spm_DesRep (design reporting) is a suite of utility functions for various
% graphical reports on a given experimental design, embodied in the design
% matrix structure and other associated data structures.
% For detailed programmers comments, see format specifications in main body
% of code.
%
% ----------------
%
% By default, spm_DesRep prompts for selection of a SPM.mat file.
%
% Given details of a design spm_DesRep sets up a "Design" menu in the
% SPM 'Interactive' window. The menu options launch various graphical
% summaries of the current SPM design in the SPM 'Graphics' window.
%
% * Design Matrix - Displays graphical summary of the design matrix
%
% The design is labelled with the corresponding parameter and
% file names, and is displayed as an image scaled (using
% spm_DesMtx('sca',...) such that zero is mid-grey, -1 is black, and +1
% is white. Covariates exceeding this randge are scaled to fit.
%
% The design matrix is "surfable": Clicking (and holding or dragging)
% around the design matrix image reports the corresponding value of the
% design matrix ('normal' click - "left" mouse button usually), the
% image filename ('extend' mouse click - "middle" mouse), or parameter
% name ('alt' click - "right" mouse). Double clicking the design matrix
% image extracts the design matrix into the base MATLAB workspace.
%
% Under the design matrix the parameter estimability is displayed as a
% 1xp matrix of grey and white squares. Parameters that are not
% uniquely specified by the model are shown with a grey patch. Surfing
% the estimability image reports the parameter names and their
% estimability. Double clicking extracts the estimability vector into
% the base MATLAB workspace.
%
% * Design orthogonality - Displays orthogonality matrix for this design
%
% The design matrix is displayed as in "Design Matrix" view above,
% labelled with the parameter names.
%
% Under the design matrix the design orthogonality matrix is
% displayed. For each pair of columns of the design matrix, the
% orthogonality matrix depicts the magnitude of the cosine of the
% angle between them, with the range 0 to 1 mapped to white to
% black. Orthogonal vectors (shown in white), have cosine of zero.
% Colinear vectors (shown in black), have cosine of 1 or -1.
%
% The cosine of the angle between two vectors a & b is obtained by
% dividing the dot product of the two vectors by the product of
% their lengths:
%
% a'*b
% ------------------------
% sqrt(sum(a.^2)*sum(b.^2)
%
% If (and only if) both vectors have zero mean, i.e.
% sum(a)==sum(b)==0, then the cosine of the angle between the
% vectors is the same as the correlation between the two variates.
%
% The design orthogonality matrix is "surfable": Clicking (and
% holding or dragging) the cursor around the design orthogonality
% image reports the orthogonality of the correponding pair of
% columns. Double clicking on the orthogonality matrix extracts
% the contrast orthogonality matrix into the base MATLAB
% workspace.
%
% * Explore design - Sub-menu's for detailed design exploration.
%
% If this is an fMRI design, then the session & trial/condition
% structure of the design is reflected in the sub-menu structure.
% Selecting a given session, and then trial/condition within the
% session, launches a comprehensive display of the parameters of
% that design.
%
% If not an fMRI design, then the Explore sub-menu has two options:
% "Files and factors" & "Covariates".
%
% * Explore: Files and factors - Multi-page listing of filenames,
% factor indicies and covariates.
%
% The covariates printed are the raw covariates as entered into
% SPM, with the exception of the global value, which is printed
% after any grand mean scaling.
%
% * Explore: Covariates - Plots of the covariates, showing how they are
% included into the model.
%
% Covariates are plotted, one per page, overlaid on the design
% matrix. The description strings in the xC covariate structure
% array are displayed. The corresponding design matrix column(s)
% is(are) highlighted.
%
% * Clear - clears Graphics window, re-instating Results section MIP
% & design matrix graphics (if in the results section).
% * Help - displays this text!
%
% ----------------
%
% spm_DesRep also handles "surfing" of contrast depictions, which are
% bar-graphs for T-contrasts and images for F-contrasts. Clicking
% ('normal' click - "left" mouse button usually) with the on the bars
% of the bar-graphs, or anywhere in an image, and dragging, dynamically
% reports the contrast weight depicted under the cursor. The format of
% the report string is:
% #{T/F}: <name> (ij) = <weight>
% ...where # is the contrast number, T/F indicates the type of contrast,
% <name> the name given to the contrast, ij the index into the contrast
% vector/matrix weight under the cursor, and <weight> the corresponding
% contrast weight.
%
% Double clicking on a contrast depiction extracts the contrast weights
% into the base workspace.
%__________________________________________________________________________
% Copyright (C) 1999-2015 Wellcome Trust Centre for Neuroimaging
% Andrew Holmes
% $Id: spm_DesRep.m 6351 2015-02-26 16:37:18Z guillaume $
%==========================================================================
% - FORMAT specifications for embedded functions
%==========================================================================
%( This is a multi function function, the first argument is an action )
%( string, specifying the particular action function to take. )
%
% FORMAT h = spm_DesRep('DesRepUI',SPM)
% Setup "design" menu for design reporting.
% SPM - structure containing design details. Required fields are:
%
% .xX - design matrix structure
% (See spm_fmri_spm_ui.m & spm_spm.m for formats)
% .xY.P - (char or cellstr) array of filenames
% .xY.VY - array of file handles (from spm_fmri_spm_ui.m)
% .xM - Masking structure
% .xC - Covariate definition structure (not fMRI)
% (see spm_spm_ui.m for format)
% .Sess - fMRI session structure (not needed if not fMRI)
% (see spm_fmri_spm_ui.m for format)
% .xsDes - Design description structure
% (see spm_fmri_spm_ui.m for details)
% .swd - SPM working directory - directory where configuration file resides
% [defaults to empty]
% .SPMid - (recommended) ID string of creator program.
% h - handle of menu created ('Tag'ged as 'DesRepUI')
%
%
% FORMAT spm_DesRep('Files&Factors',P,I,xC,sF,xs)
% Produces multi-page listing of files, factor indices, and covariates.
% P - nxv CellStr of filenames (i.e. reshape(cellstr(SPM.xY.P),size(V)))
% I - nx4 matrix of factor indices
% xC - Covariate structure array (see spm_spm_ui.m for definitions)
% ('rc' & 'cname' fields used)
% sF - 1x4 CellStr of factor names (i.e. D.sF of spm_spm_ui)
% xs - [optional] structure of extra strings containing descriptive
% information which is printed out after the files & variables listing.
% The field names are used as sub-headings, the field values (which
% must be strings or CellStr) printed alongside.
%
% FORMAT spm_DesRep('DesMtx',xX,fnames,xs)
% Produces a one-page graphical summary of the design matrix
% FORMAT spm_DesRep('DesOrth',xX)
% Produces a one-page graphical summary of the design orthogonality
% xX - Structure containing design matrix information
% - the first of {xX.nX, xX.xKXs.X, xX.X} is used for display
% .nX - Desgin matrix already scaled for display
% .xKXs.X - temporally filtered design matrix (within space structure)
% .X - "raw" design matrix (as setup by spm_fmri_spm_ui)
% .name - [optional] px1 CellStr of parameter names
% fnames - [optional] nxv CellStr of filenames (i.e. reshape(cellstr(SPM.xY.P),size(V)))
% xs - [optional] structure of extra strings containing descriptive
% information which is printed at the foot of the page ('DesMtx' usage)
% The field names are used as sub-headings, the field values
% (which must be strings or CellStr) printed alongside.
%
% FORMAT spm_DesRep('fMRIDesMtx',SPM,s,i)
% Interactive review of fMRI design matrix.
% Sess(s).U(i) - see spm_fMRI_design for session s, trial i
%
% FORMAT spm_DesRep('Covs',xC,X,Xnames)
% Plots the covariates and describes how they are included into the model.
% xC - Covariate structure array (see spm_spm_ui.m for details)
% ('rcname','rc','descrip','cname' & 'cols' fields used)
% X - nxp Design matrix
% Xnames - px1 CellStr of parameter names
%
% =========================================================================
% Utility functions and CallBack handlers:
%
% FORMAT s = spm_DesRep('ScanTick',nScan,lim)
% Pares down 1:nScan to at most lim items, showing every 2nd/3rd/... as
% necessary to pair down to <lim items. Always ends with nScan so
% #images is indicated.
% nScan - number of scans
% lim - limit to number of elements of s
% s - 1:nScan pared down accordingly
%
% FORMAT spm_DesRep('SurfDesMtx_CB')
% 'ButtonDownFcn' CallBack for surfing clickable design matrix images
% FORMAT spm_DesRep('SurfDesMtxMo_CB')
% 'WindowButtonMotionFcn' CallBack for surfing clickable design matrix images
% FORMAT spm_DesRep('SurfDesMtxUp_CB')
% 'ButtonUpFcn' CallBack for ending surfing of design matrix images
%
% The design matrix, parameter names and image file names should be
% saved in the UserData of the image object as a structure with fields
% 'X','Xnames' & 'fnames' respectively. The code is robust to any of
% these being empty or mis-specified - surfing simply reports "no
% cached data".
%
% FORMAT spm_DesRep('SurfEstIm_CB')
% 'ButtonDownFcn' CallBack for surfing clickable parameter estimability images
% FORMAT spm_DesRep('SurfEstImMo_CB')
% 'WindowButtonMotionFcn' CallBack for surfing parameter estimability images
% FORMAT spm_DesRep('SurfEstImUp_CB')
% 'ButtonUpFcn' CallBack for ending surfing of parameter estimability images
%
% The binary parameter estimability matrix and parameter names should
% be saved in the UserData of the image object as a structure with
% fields 'est' & 'Xnames' respectively. The code is robust to any of
% these being empty or mis-specified - surfing simply reports "no
% cached data".
%
% FORMAT spm_DesRep('SurfDesO_CB')
% 'ButtonDownFcn' CallBack for surfing clickable design orthogonality images
% FORMAT spm_DesRep('SurfDesOMo_CB')
% 'WindowButtonMotionFcn' CallBack for surfing design orthogonality images
% FORMAT spm_DesRep('SurfDesOUp_CB')
% 'ButtonUpFcn' CallBack for ending surfing of design orthogonality images
%
% The design orthogonality matrix (cosine of angle between vectors),
% correlation index matrix (1 when both columns have zero mean, when
% cos(\theta) equals the correlation), and parameter names should be
% saved in the UserData of the image object as a structure with fields
% 'O', 'bC' & 'Xnames' respectively.
%
% FORMAT spm_DesRep('SurfCon_CB')
% 'ButtonDownFcn' CallBack for surfing clickable contrast depictions
% FORMAT spm_DesRep('SurfConOMo_CB')
% 'WindowButtonMotionFcn' CallBack for surfing contrast depictions
% FORMAT spm_DesRep('SurfConOUp_CB')
% 'ButtonUpFcn' CallBack for ending surfing of contrast depictions
%
% The contrast number, handle of text object to use for reporting and
% contrast structure (for this contrast) should be saved in the UserData
% of the image object as a structure with fields 'i', 'h' & 'xCon'
% respectively.
%__________________________________________________________________________
SVNid = '$Rev: 6351 $';
%-Format arguments
%--------------------------------------------------------------------------
if ~nargin
SPMid = spm('FnBanner',mfilename,SVNid);
hC = spm_DesRep('DesRepUI');
SPM = get(hC,'UserData');
if ~isempty(SPM)
cb_menu([],[],'DesMtx',SPM);
drawnow;
end
return;
end
switch lower(varargin{1})
%==========================================================================
case 'desrepui' %-Design reporting UI
%==========================================================================
% h = spm_DesRep('DesRepUI')
% h = spm_DesRep('DesRepUI',SPM)
%-Load design data from file if not passed as argument
%--------------------------------------------------------------------------
if nargin < 2
[spmmatfile, sts] = spm_select(1,'^SPM\.mat$','Select SPM.mat');
if ~sts, varargout = {[]}; return; end
swd = spm_file(spmmatfile,'fpath');
try
load(fullfile(swd,'SPM.mat'));
catch
error(['Cannot read ' fullfile(swd,'SPM.mat')]);
end
SPM.swd = swd;
else
SPM = varargin{2};
end
%-Canonicalise data
%--------------------------------------------------------------------------
%-Work out where design configuration has come from
if ~isfield(SPM,'cfg')
if isfield(SPM.xX,'V'), cfg = 'SPMest';
elseif isfield(SPM.xY,'VY'), cfg = 'SPMdata';
elseif isfield(SPM,'Sess'), cfg = 'SPMcfg';
else error('Can''t fathom origin!')
end
SPM.cfg = cfg;
end
%-Work out what modality this is
%--------------------------------------------------------------------------
try
SPM.Sess(1);
SPM.modality = 'fMRI';
catch
try
SPM.xC;
catch
SPM.xC = {};
end
SPM.modality = 'PET';
end
%-Add a scaled design matrix to the design data structure
%--------------------------------------------------------------------------
if ~isfield(SPM.xX,'nKX')
SPM.xX.nKX = spm_DesMtx('Sca',SPM.xX.X,SPM.xX.name);
end
%-Draw menu
%==========================================================================
%-Get Interactive window and delete any previous DesRepUI menu
%--------------------------------------------------------------------------
Finter = spm_figure('GetWin','Interactive');
delete(findobj(get(Finter,'Children'),'flat','Tag','DesRepUI'))
%-Draw top level menu
%--------------------------------------------------------------------------
hC = uimenu(Finter,'Label','Design',...
'Separator','on',...
'Tag','DesRepUI',...
'UserData',SPM,...
'HandleVisibility','on');
%-DesMtx
%--------------------------------------------------------------------------
hDesMtx = uimenu(hC,'Label','Design Matrix','Accelerator','D',...
'CallBack',{@cb_menu,'DesMtx',SPM},...
'UserData',hC,...
'HandleVisibility','off');
%-Design matrix orthogonality
%--------------------------------------------------------------------------
h = uimenu(hC,'Label','Design orthogonality','Accelerator','O',...
'CallBack',{@cb_menu,'DesOrth',SPM},...
'UserData',hC,...
'HandleVisibility','off');
%-Explore design
%--------------------------------------------------------------------------
hExplore = uimenu(hC,'Label','Explore','HandleVisibility','off');
switch SPM.modality
case 'PET'
hFnF = uimenu(hExplore,'Label','Files and factors','Accelerator','F',...
'CallBack',{@cb_menu,'Files&Factors',SPM},...
'UserData',hC,...
'HandleVisibility','off');
hCovs = uimenu(hExplore,'Label','Covariates','Accelerator','C',...
'CallBack',{@cb_menu,'Covs',SPM},...
'UserData',hC,...
'HandleVisibility','off');
if isempty(SPM.xC), set(hCovs,'Enable','off'), end
case 'fMRI'
for j = 1:length(SPM.Sess)
h = uimenu(hExplore,'Label',sprintf('Session %.0f ',j),...
'HandleVisibility','off');
for k = 1:length(SPM.Sess(j).Fc)
uimenu(h,'Label',SPM.Sess(j).Fc(k).name,...
'CallBack',{@cb_menu,'fMRIDesMtx',SPM,j,k},...
'UserData',hC,...
'HandleVisibility','off')
end
end
end
hxvi = uimenu(hExplore, 'Label','Covariance structure', ...
'Callback',{@cb_menu,'xVi',SPM},...
'UserData',hC, 'HandleVisibility','off');
if ~isfield(SPM,'xVi') || (isfield(SPM.xVi,'iid') && SPM.xVi.iid) || ...
~(isfield(SPM.xVi,'V') || isfield(SPM.xVi,'Vi'))
set(hxvi,'Enable','off');
end
%-Clear, Quit
%--------------------------------------------------------------------------
uimenu(hC,'Label','Clear','Accelerator','L','Separator','on',...
'CallBack','spm_results_ui(''Clear'')',...
'HandleVisibility','off');
uimenu(hC,'Label','Quit','Accelerator','Q','Separator','on',...
'CallBack','spm_results_ui(''Close'');',...
'HandleVisibility','off');
%-Pop open 'Interactive' window
%--------------------------------------------------------------------------
figure(Finter)
%-Return handle of menu
%--------------------------------------------------------------------------
varargout = {hC};
%==========================================================================
case 'files&factors' %-Summarise files & factors
%==========================================================================
% spm_DesRep('Files&Factors',fnames,I,xC,sF,xs)
if nargin<4, error('insufficient arguments'), end
fnames = varargin{2};
I = varargin{3};
xC = varargin{4};
sF = varargin{5};
if nargin<6, xs=[]; else xs = varargin{6}; end %-Structure of strings
[fnames,CPath] = spm_str_manip(fnames,'c'); %-extract common path component
nScan = size(I,1); %-#images
bL = any(diff(I,1),1); %-Multiple factor levels?
for i=(numel(sF)+1):size(I,2)
sF{i} = sprintf('sF%d',i); %-If more factors than expected
end
%-Get Graphics window & window scaling
Fgraph = spm_figure('GetWin','Graphics');
spm_results_ui('Clear',Fgraph,0)
FS = spm('FontSizes');
%-Display header information
%--------------------------------------------------------------------------
hTax = axes('Position',[0.03,0.85,0.94,0.1],...
'DefaultTextFontSize',FS(9),...
'XLim',[0,1],'YLim',[0,1],...
'Visible','off');
text(0.5,1,'Statistical analysis: Image files & covariates...',...
'Fontsize',FS(14),'Fontweight','Bold',...
'HorizontalAlignment','center');
dx1 = 0.05;
dx2 = 0.08;
x = 0; text(x+.02,.1,'image #','Rotation',90);
for i=numel(bL):-1:1
if bL(i), x=x+dx1; text(x+.01,.1,sF{i},'Rotation',90); end
end
for j = 1:length(xC)
n = size(xC(j).rc,2);
if n>1, tmp=xC(j).cname; else tmp={xC(j).rcname}; end
for k=1:n
x=x+dx2;
text(x,.1,tmp{k},'Rotation',90,'Interpreter','TeX');
end
end
x = x + dx2;
text(x,0.65,'Base directory:','FontWeight','Bold');
text(x,0.5,CPath,'FontSize',FS(8));
text(x,0.2,'filename tails...');
line('XData',[0 1],'YData',[0 0],'LineWidth',3,'Color','r');
%-Tabulate file & covariate information
%--------------------------------------------------------------------------
hAx = axes('Position',[0.03,0.05,0.94,0.8],...
'DefaultTextFontSize',FS(8),...
'Units','points',...
'Visible','off');
AxPos = get(hAx,'Position'); set(hAx,'YLim',[0,AxPos(4)])
dy = FS(9); y0 = floor(AxPos(4)) -dy; y = y0;
for i = 1:nScan
%-Scan indices
x = 0; text(x,y,sprintf('%03d',i));
for j=numel(bL):-1:1
if bL(j), x=x+dx1; text(x,y,sprintf('%02d',I(i,j))); end
end
%-Covariates
for j = 1:length(xC)
for k=1:size(xC(j).rc,2)
x=x+dx2;
text(x,y,sprintf('%6g',xC(j).rc(i,k)),...
'HorizontalAlignment','Center');
end
end
%-Filename tail(s) - could be multivariate
x=x+dx2;
text(x,y,fnames{i});
y=y-dy;
%-Paginate if necessary
if y<dy
text(0.5,0,sprintf('Page %d',spm_figure('#page')),...
'FontSize',FS(8),'FontAngle','italic');
spm_figure('NewPage',[hAx;get(hAx,'Children')])
hAx = axes('Units','points','Position',AxPos,...
'DefaultTextFontSize',FS(8),'YLim',[0,AxPos(4)],...
'Visible','off');
y = y0;
text(y,0,'continued...','FontAngle','Italic');
end
end
line('XData',[0 1],'YData',[y y],'LineWidth',3,'Color','r');
%-Display description strings at bottom of current page
%--------------------------------------------------------------------------
if ~isempty(xs)
y = y - 2*dy;
for sf = fieldnames(xs)'
text(0.3,y,[strrep(sf{1},'_',' '),' :'],...
'HorizontalAlignment','Right','FontWeight','Bold',...
'FontSize',FS(9));
s = xs.(sf{1});
if ~iscellstr(s), s={s}; end
for i=1:numel(s)
text(0.31,y,s{i},'FontSize',FS(9));
y = y - dy;
end
end
end
%-Register last page if paginated
if spm_figure('#page')>1
text(0.5,0,sprintf('Page %d/%d',spm_figure('#page')*[1,1]),...
'FontSize',FS(8),'FontAngle','italic');
spm_figure('NewPage',[hAx;get(hAx,'Children')]);
end
%-Pop up the Graphics window
%--------------------------------------------------------------------------
figure(Fgraph)
%==========================================================================
case 'xvi'
%==========================================================================
% spm_DesRep('xVi',xVi)
if nargin<2, error('insufficient arguments'), end
if ~isstruct(varargin{2}), error('covariance matrix structure required'), end
%-Display
%==========================================================================
%-Get graphics window & FontSizes
%--------------------------------------------------------------------------
Fgraph = spm_figure('GetWin','Graphics');
spm_results_ui('Clear',Fgraph,0)
FS = spm('FontSizes');
%-Title
%--------------------------------------------------------------------------
hTax = axes('Position',[0.03,0,0.94,1],...
'DefaultTextFontSize',FS(9),...
'XLim',[0,1],'YLim',[0,1],...
'Visible','off');
str = 'Statistical analysis: Covariance structure';
text(0.5,0.95,str,'Fontsize',FS(14),'Fontweight','Bold',...
'HorizontalAlignment','center');
line('Parent',hTax,...
'XData',[0.3 0.7],'YData',[0.92 0.92],'LineWidth',3,'Color','r');
%-Display covariance matrix
%--------------------------------------------------------------------------
hCovMtx(1) = axes('Position',[.07 .4 .6 .4]);
hCovMtxSc = [];
if isfield(varargin{2},'V')
clim = full([-max(varargin{2}.V(:))/2 max(varargin{2}.V(:))]); % scale 0 to gray
hCovMtxIm(1) = imagesc(varargin{2}.V, clim);
hCovMtxSc = colorbar;
set(hCovMtxSc,'Ylim',[0 clim(2)]); % cut colorbar at 0
%-Setup callbacks to allow interrogation of covariance matrix
%------------------------------------------------------------------------
set(hCovMtxIm(1),'UserData',...
varargin{2})
set(hCovMtxIm(1),'ButtonDownFcn','spm_DesRep(''SurfxVi_CB'')')
if isfield(varargin{2},'form')
str = sprintf('Covariance structure V: %s',varargin{2}.form);
else
str = 'Covariance structure V';
end
if isfield(varargin{2},'var') && isfield(varargin{2},'dep') && ...
isfield(varargin{2},'sF') && isfield(varargin{2},'I')
r = find((max(varargin{2}.I) > 1) & ~varargin{2}.var & ~varargin{2}.dep);
if any(varargin{2}.dep)
cmstr = 'yes';
else
cmstr = 'no';
end
str = sprintf(['Covariance structure V - replications over ''%s''\n'...
'Correlated repeated measures: %s'], ...
varargin{2}.sF{r},cmstr);
end
xlabel(str);
else
text(.5,.5, 'Covariance not (yet) estimated.', 'HorizontalAlignment','center');
end
if isfield(varargin{2},'h')
hPEstAx = axes('Position',[.07 .315 .6 .025],...
'DefaultTextInterpreter','TeX');
hParEstIm = imagesc(varargin{2}.h',clim);
set(hPEstAx,...
'XLim',[0,length(varargin{2}.h)]+.5,'XTick',[1:length(varargin{2}.h)-1]+.5,...
'XTickLabel','',...
'YLim',[0,1]+.5,'YDir','reverse','YTick',[],...
'Box','on','TickDir','in','XGrid','on','GridLineStyle','-');
xlabel('hyperparameter estimates')
set(hParEstIm,'UserData',varargin{2}.h)
set(hParEstIm,'ButtonDownFcn','spm_DesRep(''SurfHPEstIm_CB'')')
else
hPEstAx = [];
end
spm_figure('NewPage',[hCovMtx;get(hCovMtx,'Children');hPEstAx;get(hPEstAx,'Children');hCovMtxSc])
%-Show components of covariance matrix
%--------------------------------------------------------------------------
if isfield(varargin{2},'Vi')
for k = 1:length(varargin{2}.Vi)
%-Display covariance component xVi.Vi{k}
%------------------------------------------------------------------
hCovMtx(k+1) = axes('Position',[.07 .4 .6 .4]);
hCovMtxIm(k+1) = imagesc(varargin{2}.Vi{k});
xlabel(sprintf('Covariance component Vi{%d}', k));
if k<length(varargin{2}.Vi)
spm_figure('NewPage',[hCovMtx(k+1);get(hCovMtx(k+1),'Children')])
end
end
if spm_figure('#page')>1
spm_figure('NewPage',[hCovMtx(k+1);get(hCovMtx(k+1),'Children')])
end
end
%==========================================================================
case {'desmtx','desorth'} %-Display design matrix / design orthogonality
%==========================================================================
% spm_DesRep('DesMtx',xX,fnames,xs)
% spm_DesRep('DesOrth',xX)
if nargin<2, error('insufficient arguments'), end
if ~isstruct(varargin{2}), error('design matrix structure required'), end
if nargin<3, fnames={}; else fnames=varargin{3}; end
if nargin<4, xs=[]; else xs=varargin{4}; end
desmtx = strcmpi(varargin{1},'desmtx');
%-Locate DesMtx (X), scaled DesMtx (nX) & get parameter names (Xnames)
%--------------------------------------------------------------------------
if isfield(varargin{2},'xKXs') && ...
~isempty(varargin{2}.xKXs) && isstruct(varargin{2}.xKXs)
iX = 1;
[nScan,nPar] = size(varargin{2}.xKXs.X);
elseif isfield(varargin{2},'X') && ~isempty(varargin{2}.X)
iX = 0;
[nScan,nPar] = size(varargin{2}.X);
else
error('Can''t find DesMtx in this structure!')
end
if isfield(varargin{2},'nKX') && ~isempty(varargin{2}.nKX)
inX = 1; else inX = 0; end
if isfield(varargin{2},'name') && ~isempty(varargin{2}.name)
Xnames = varargin{2}.name; else Xnames = {}; end
%-Compute design orthogonality matrix if DesOrth
%--------------------------------------------------------------------------
if ~desmtx
if iX
tmp = sqrt(sum(varargin{2}.xKXs.X.^2));
O = varargin{2}.xKXs.X'*varargin{2}.xKXs.X./kron(tmp',tmp);
tmp = sum(varargin{2}.xKXs.X);
else
tmp = sqrt(sum(varargin{2}.X.^2));
O = varargin{2}.X'*varargin{2}.X./kron(tmp',tmp);
tmp = sum(varargin{2}.X);
end
tmp = abs(tmp)<eps*1e5;
bC = kron(tmp',tmp);
end
%-Display
%==========================================================================
%-Get graphics window & FontSizes
%--------------------------------------------------------------------------
Fgraph = spm_figure('GetWin','Graphics');
spm_results_ui('Clear',Fgraph,0)
FS = spm('FontSizes');
%-Title
%--------------------------------------------------------------------------
hTax = axes('Position',[0.03,0,0.94,1],...
'DefaultTextFontSize',FS(9),...
'XLim',[0,1],'YLim',[0,1],...
'Visible','off');
str='Statistical analysis: Design'; if ~desmtx, str=[str,' orthogonality']; end
text(0.5,0.95,str,'Fontsize',FS(14),'Fontweight','Bold',...
'HorizontalAlignment','center');
line('Parent',hTax,...
'XData',[0.3 0.7],'YData',[0.92 0.92],'LineWidth',3,'Color','r');
%-Display design matrix
%--------------------------------------------------------------------------
hDesMtx = axes('Position',[.07 .4 .6 .4]);
if inX %-Got a scaled DesMtx
hDesMtxIm = image((varargin{2}.nKX + 1)*32);
elseif iX %-No scaled DesMtx, DesMtx in .xKXs structure
hDesMtxIm = image((spm_DesMtx('sca',varargin{2}.xKXs.X,Xnames) + 1)*32);
else %-No scaled DesMtx, no .xKXs, DesMtx in .X
hDesMtxIm = image((spm_DesMtx('sca',varargin{2}.X, Xnames) + 1)*32);
end
STick = spm_DesRep('ScanTick',nScan,32);
PTick = spm_DesRep('ScanTick',nPar,32);
set(hDesMtx,'TickDir','out',...
'XTick',PTick,'XTickLabel','',...
'YTick',STick,'YTickLabel','')
if desmtx
xlabel('parameters'), ylabel('images')
else
ylabel('design matrix')
end
%-Parameter names
if ~isempty(Xnames)
axes('Position',[.07 .8 .6 .1],'Visible','off',...
'DefaultTextFontSize',FS(8),'DefaultTextInterpreter','TeX',...
'XLim',[0,nPar]+0.5)
for i=PTick, text(i,.05,Xnames{i},'Rotation',90), end
end
%-Filenames
% ( Show at most 32, showing every 2nd/3rd/4th/... as necessary to pair )
% ( down to <32 items. Always show last item so #images is indicated. )
if desmtx && ~isempty(fnames)
axes('Position',[.68 .4 .3 .4],'Visible','off',...
'DefaultTextFontSize',FS(8),...
'YLim',[0,nScan]+0.5,'YDir','Reverse')
for i = STick
try
str = strrep(fnames(i,:),'\','/');
catch
str = strrep(fnames{i},'\','/');
end
text(0,i,spm_file(str,'short35'));
end
end
%-Setup callbacks to allow interrogation of design matrix
%--------------------------------------------------------------------------
if iX, set(hDesMtxIm,'UserData',...
struct('X',varargin{2}.xKXs.X,'Xnames',{Xnames},'fnames',{fnames}))
else set(hDesMtxIm,'UserData',...
struct('X',varargin{2}.X, 'Xnames',{Xnames},'fnames',{fnames}))
end
set(hDesMtxIm,'ButtonDownFcn','spm_DesRep(''SurfDesMtx_CB'')')
if desmtx
%-Parameter estimability/uniqueness
%----------------------------------------------------------------------
hPEstAx = axes('Position',[.07 .315 .6 .025],...
'DefaultTextInterpreter','TeX');
if iX, est = spm_SpUtil('IsCon',varargin{2}.xKXs);
else est = spm_SpUtil('IsCon',varargin{2}.X); end
hParEstIm = image((est+1)*32);
set(hPEstAx,...
'XLim',[0,nPar]+.5,'XTick',[1:nPar-1]+.5,'XTickLabel','',...
'YLim',[0,1]+.5,'YDir','reverse','YTick',[],...
'Box','on','TickDir','in','XGrid','on','GridLineStyle','-');
xlabel('parameter estimability')
text((nPar+0.5 + nPar/30),1,...
'(gray \rightarrow \beta not uniquely specified)',...
'Interpreter','TeX','FontSize',FS(8))
set(hParEstIm,'UserData',struct('est',est,'Xnames',{Xnames}))
set(hParEstIm,'ButtonDownFcn','spm_DesRep(''SurfEstIm_CB'')')
else
%-Design orthogonality
%----------------------------------------------------------------------
hDesO = axes('Position',[.07 .18 .6 .2]);
tmp = 1-abs(O); tmp(logical(tril(ones(nPar),-1))) = 1;
hDesOIm = image(tmp*64);
set(hDesO,'Box','off','TickDir','out',...
'XaxisLocation','top','XTick',PTick,'XTickLabel','',...
'YaxisLocation','right','YTick',PTick,'YTickLabel','',...
'YDir','reverse')
tmp = [1,1]'*[[0:nPar]+0.5];
line('Xdata',tmp(1:end-1)','Ydata',tmp(2:end)')
xlabel('design orthogonality')
set(get(hDesO,'Xlabel'),'Position',[0.5,nPar,0],...
'HorizontalAlignment','left',...
'VerticalAlignment','top')
set(hDesOIm,...
'UserData',struct('O',O,'bC',bC,'Xnames',{Xnames}),...
'ButtonDownFcn','spm_DesRep(''SurfDesO_CB'')')
if ~isempty(Xnames)
axes('Position',[.69 .18 0.01 .2],'Visible','off',...
'DefaultTextFontSize',FS(10),...
'DefaultTextInterpreter','TeX',...
'YDir','reverse','YLim',[0,nPar]+0.5)
for i=PTick
text(0,i,Xnames{i},'HorizontalAlignment','left')
end
end
end
%-Design descriptions
%--------------------------------------------------------------------------
if desmtx
str = 'Design description...';
line('Parent',hTax,...
'XData',[0.3 0.7],'YData',[0.28 0.28],'LineWidth',3,'Color','r')
hAx = axes('Position',[0.03,0.05,0.94,0.22],'Visible','off');
else
str = '';
line('Parent',hTax,...
'XData',[0.3 0.7],'YData',[0.14 0.14],'LineWidth',3,'Color','r')
hAx = axes('Position',[0.03,0.05,0.94,0.08],'Visible','off');
xs = struct('Measure', ['abs. value of cosine of angle between ',...
'columns of design matrix'],...
'Scale', {{ 'black - colinear (cos=+1/-1)';...
'white - orthogonal (cos=0)';...
'gray - not orthogonal or colinear'}});
end
if ~isempty(xs)
set(hAx,'Units','points');
AxPos = get(hAx,'Position');
set(hAx,'YLim',[0,AxPos(4)])
dy = FS(9); y0 = floor(AxPos(4)) -dy; y = y0;
text(0.3,y,str,...
'HorizontalAlignment','Center',...
'FontWeight','Bold','FontSize',FS(11))
y=y-2*dy;
for sf = fieldnames(xs)'
text(0.3,y,[strrep(sf{1},'_',' '),' :'],...
'HorizontalAlignment','Right','FontWeight','Bold',...
'FontSize',FS(9))
s = xs.(sf{1});
if ~iscellstr(s), s={s}; end
for i=1:numel(s)
text(0.31,y,s{i},'FontSize',FS(9))
y=y-dy;
end
end
end
%-Pop up the Graphics window
%--------------------------------------------------------------------------
figure(Fgraph)
%==========================================================================
case 'fmridesmtx' %-Interactive review of fMRI design matrix
%==========================================================================
%spm_DesRep('fMRIDesMtx',SPM,s,i)
SPM = varargin{2};
Sess = SPM.Sess;
if nargin < 4, i = 1; else i = varargin{4}; end
if nargin < 3, s = 1; else s = varargin{3}; end
%-Get Graphics window
%--------------------------------------------------------------------------
Fgraph = spm_figure('GetWin','Graphics');
spm_results_ui('Clear',Fgraph,0)
%-Trial-specific regressors - time domain
%--------------------------------------------------------------------------
sX = SPM.xX.X(Sess(s).row,Sess(s).col);
rX = sX(:,Sess(s).Fc(i).i);
subplot(2,2,1)
plot(Sess(s).row,rX)
xlabel('scan')
ylabel('regressor[s]')
title({'Time domain',['Regressors for ' Sess(s).Fc(i).name]})
grid on
axis tight
%-Trial-specific regressors - frequency domain
%--------------------------------------------------------------------------
subplot(2,2,2)
gX = abs(fft(rX)).^2;
gX = gX*diag(1./sum(gX));
q = size(gX,1);
Hz = [0:(q - 1)]/(q*SPM.xY.RT);
q = 2:fix(q/2);
plot(Hz(q),gX(q,:))
HPF = SPM.xX.K(s).HParam;
patch([0 1 1 0]/HPF,[0 0 1 1]*max(max(gX)),[1 1 1]*.9,'facealpha',.5);
xlabel('Frequency (Hz)')
ylabel('relative spectral density')
h=title(['Frequency domain',sprintf('\n'), ' {\bf',num2str(HPF),'}', ...
' second High-pass filter'],'Interpreter','Tex');
grid on
axis tight
% if trial (as opposed to trial x trial interaction)
%--------------------------------------------------------------------------
if length(Sess(s).U) >= i
% Basis set and peristimulus sampling
%----------------------------------------------------------------------
subplot(2,2,3)
dt = Sess(s).U(i).dt;
RT = SPM.xY.RT;
t = [1:size(SPM.xBF.bf,1)]*dt;
pst = Sess(s).U(i).pst;
plot(t,SPM.xBF.bf,pst,0*pst,'.','MarkerSize',16)
str = sprintf('TR = %0.2fs',RT);
xlabel({'time {secs}' str sprintf('%0.0fms time bins',1000*dt)})
title({'Basis set and peristimulus sampling' SPM.xBF.name})
axis tight
grid on
% if a paramteric variate is specified
%----------------------------------------------------------------------
for p = 1:length(Sess(s).U(i).P)
if Sess(s).U(i).P(p).h
% onsets and parametric modulation
%------------------------------------------------------------------
subplot(2,2,4)
ons = Sess(s).U(i).ons;
plot(ons,Sess(s).U(i).P(p).P,'.','MarkerSize',8)
xlabel('time {secs}')
title('Parameters')
grid on
hold on
end
end
end
%-Pop up Graphics figure window
%--------------------------------------------------------------------------
figure(Fgraph);
%==========================================================================
case 'covs' %-Plot and describe covariates (one per page)
%==========================================================================
% spm_DesRep('Covs',xX,xC)
if nargin<3, error('insufficient arguments'), end
xC = varargin{3}; %-Struct array of covariate information
if ~isstruct(varargin{2}), error('design matrix structure required'), end
if isempty(xC), spm('alert!','No covariates!',mfilename), return, end
%-Get graphics window & window scaling
Fgraph = spm_figure('GetWin','Graphics');
spm_results_ui('Clear',Fgraph,0)
FS = spm('FontSizes');
%-Title
%--------------------------------------------------------------------------
hTax = axes('Position',[0.03,0,0.94,1],...
'DefaultTextFontSize',FS(9),...
'XLim',[0,1],'YLim',[0,1],...
'Visible','off');
text(0.5,0.95,'Statistical analysis: Covariates',...
'Fontsize',FS(14),'Fontweight','Bold',...
'HorizontalAlignment','center')
text(0.5,0.82,'(covariates plotted over transposed design matrix)',...
'FontSize',FS(8),'HorizontalAlignment','center')
line('XData',[0.3 0.7],'YData',[0.92 0.92],'LineWidth',3,'Color','r')
line('XData',[0.3 0.7],'YData',[0.44 0.44],'LineWidth',3,'Color','r')
%-Design matrix (as underlay for plots) and parameter names