nicholst

---
title: "Quarto Proto Doc"
author:
  - name:  Y.R. Name
    orcid: XXXX-XXXX-XXXX-XXXX
    email: yr.name@yr.inst.edu
    affiliation: 
      - name: University of Universities
date: last-modified
bibliography: Proto_wRefs.bib

nicholst

@article{spearmanProofMeasurementAssociation1904,
  title = {The {{Proof}} and {{Measurement}} of {{Association}} between {{Two Things}}},
  author = {Spearman, C.},
  year = {1904},
  month = jan,
  journal = {The American Journal of Psychology},
  volume = {15},
  number = {1},
  eprint = {1412159},
  eprinttype = {jstor},

nicholst

---
title: "Quarto Proto Doc"
author:
  - name:  Y.R. Name
    orcid: XXXX-XXXX-XXXX-XXXX
    email: yr.name@yr.inst.edu
    affiliation: 
      - name: University of Universities
date: last-modified
toc: true

nicholst

#!/bin/bash


#
# 1st level, subject-space, FSL-stlye naming
#
AnatImg=highres2example_func
EffectImg=cope1
StatImg=zstat1

nicholst

library(lme4)
N=100
K=10
rho=0.8

Yiid = rnorm(N*K)
Subj = factor(rep(1:N,each=K))
Ycs  = Yiid;
Y0   = rnorm(N)
for (i in 1:N)

nicholst

function varargout=snpm(Action)
% SnPM: nonParametric statistical analysis toolbox for SPM
%_______________________________________________________________________
%  ___       ____  __  __ 
% / __) ___ (  _ \(  \/  )  Statistical nonParametric Mapping toolbox
% \__ \( _ ) )___/ )    (   The Wellcome Department of Cognitive Neurology
% (___/(_)_)(__)  (_/\/\_)  SnPM8
%_______________________________________________________________________
%
% This is SnPM8, the beta release of the nonParametric toolbox for SPM

nicholst

mySizeX=100;
mySizeY=100;
myNumOfRealizations=500;

mySmoothRandomFields = zeros(mySizeX,mySizeY,myNumOfRealizations);
%%% Sam: Insert your smoothing RF sim code here... return a 3D image,
%%% each 2D slice smoothed according to desired FWHM, slices independent,
%%% for different realisations
mySmoothRandomFields = %<BLAH>%

nicholst

/**************************************************************************************
 *                                                                                    *
 **************************************************************************************/
bool 
EulerCharacteristics2D::computeFieldDerivatives ()
{
	try
	{
		// NULL conditions
		if (myRandomFields == NULL || myNumOfRealizations <= 0 || myRealizationSize <= 0) throw "myRandomFields not allocated";