var fDesc=new Array();
fDesc[0] = "- Load your data. The program can read excel, ascii, and matlab files. Column headers can be included in the files. Use &quot;load X=Y&quot; if both X-data (design) and Y-data (responses) are on the same file.<br /> - Choose &quot;Columns&quot; for X and Y.<br /> - Use &quot;Covariates&quot; to specify continuous design variables.<br /> - Choose &quot;Model&quot;.<br /> <br /> - Choose an ANOVA/regression model (similar to the univariate modelling). <br /> <br /> - Press &quot;Run&quot;.<br /> <br /> - The output is similar to an ANOVA table.<br /> - exVarSS = explained variances based on sums of squares.<br /> - p-values = the results from 50-50 MANOVA testing. <br /> <br /> - Press &quot;Graphs&quot; to see various plots.<br /> - Press &quot;Rotation Tests&quot; to calculate adjusted p-values.<br /> <br /> - pRaw = ordinary univariate p-values from t-tests or F-tests.<br /> - pAdjFDR = adjusted p-values according to false discovery rates.<br /> - p99999 = adjusted p-values according to the familywise error rate (FWE).";

function tShowHide(id, show)
{
	var s = document.getElementById("desc");

	if ((s.innerHTML.length<=212 || show==1) && show!=2)
	{
		s.innerHTML = fDesc[id];
		if (document.getElementById('m1'))
			document.getElementById('m1').style.display='none';
		if (document.getElementById('m2'))
			document.getElementById('m2').style.display='none';
		if (document.getElementById('more_txt'))
			document.getElementById('more_txt').style.display='inline';
	}
	else
	{
		s.innerHTML = '';
	}
}