function alfabetAnalyse($codtxt, $alfa) { global $AP, $ks_hilf; $alfahier = @hauf($codtxt); for ($t = 0; $t < sizeof($alfahier); $t++) { $p[] = 100 * prob($alfahier[$t], strlen($codtxt)); } $alfahier = $p; $VX = varianz($AP[de]); $SX = sqrt(varianz($AP[de])); $VY = varianz($alfahier); $SY = sqrt(varianz($alfahier)); $cov = covarianz($AP[de], $alfahier); $r = @abs($cov / sqrt($VX * $VY)); for ($t = 0; $t < sizeof($alfa); $t++) { $ba1 .= "<img src={$ks_hilf['pfad']}/image/letter" . $t . ".gif border=0><img src={$ks_hilf['pfad']}/image/bar0.jpg width=3 border=0>"; $ba2 .= "<img src={$ks_hilf['pfad']}/image/letter" . ($t + $rotv) % sizeof($alfa) . ".gif border=0><img src={$ks_hilf['pfad']}/image/bar0.jpg width=3 border=0>"; } $lang_normalalphabet = JTEXT::_('NORMALALPHABET'); $lang_STATISTICALDATA = JTEXT::_('STATISTICALDATA'); $lang_VARIANCE = JTEXT::_('VARIANCE'); $lang_DEFAULTABWEICHUNG = JTEXT::_('DEFAULTABWEICHUNG'); $lang_CURRENTALPHABET = JTEXT::_('CURRENTALPHABET'); $lang_SIGNS = JTEXT::_('SIGNS'); $lang_ENTROPY = JTEXT::_('ENTROPY'); $out .= '<table border=0><tr><td> <b>' . $lang_normalalphabet . '</b><br>' . $lang_STATISTICALDATA . ':<br>' . '<br>' . $lang_VARIANCE . ': ' . round($VX, 5) . '<br>' . $lang_DEFAULTABWEICHUNG . ': ' . round($SX, 5) . '</td><td valign=middle>' . showakt($AP[de], 50, 1, 5, 3, 0) . '<center><div class=text7 >' . $ba1 . '</div></center>' . '</td></tr>' . '<tr><td>' . '<br><b>' . $lang_CURRENTALPHABET . '</b><br>' . $lang_STATISTICALDATA . ':<br>' . '<br>' . $lang_VARIANCE . ': ' . round($VY, 5) . '<br>' . $lang_DEFAULTABWEICHUNG . ': ' . round($SY, 5) . '<br>' . '</td><td valign=middle><br>' . showakt($alfahier, 50, 1, 5, 3, 0) . '<center><div class=text7 >' . $ba2 . '</div></center>' . '</td></tr><tr><td>' . '<br>' . $lang_SIGNS . ': ' . strlen($codtxt) . '<br>' . $lang_ENTROPY . ': ' . round(entropie($codtxt), 5) . '</td></tr></table>'; return $out; }
function alfabetAnalyse($codtxt, $alfa) { global $AP, $ks_hilf; $alfahier = @hauf($codtxt); for ($t = 0; $t < sizeof($alfahier); $t++) { $p[] = 100 * prob($alfahier[$t], strlen($codtxt)); } $alfahier = $p; $VX = varianz($AP[de]); $SX = sqrt(varianz($AP[de])); $VY = varianz($alfahier); $SY = sqrt(varianz($alfahier)); $cov = covarianz($AP[de], $alfahier); $r = @abs($cov / sqrt($VX * $VY)); for ($t = 0; $t < sizeof($alfa); $t++) { $ba1 .= "<img src={$ks_hilf['pfad']}/image/letter" . $t . ".gif border=0><img src={$ks_hilf['pfad']}/image/bar0.jpg width=3 border=0>"; $ba2 .= "<img src={$ks_hilf['pfad']}/image/letter" . ($t + $rotv) % sizeof($alfa) . ".gif border=0><img src={$ks_hilf['pfad']}/image/bar0.jpg width=3 border=0>"; } $out .= '<table border=0><tr><td> <b>Normales Alfabet</b><br>Statistische Daten:<br>' . '<br>Varianz: ' . round($VX, 5) . '<br>StdAbw: ' . round($SX, 5) . '</td><td valign=middle>' . showakt($AP[de], 50, 1, 5, 3, 0) . '<center><div class=text7 >' . $ba1 . '</div></center>' . '</td></tr>' . '<tr><td>' . '<br><b>vorliegendes Alfabet</b><br>Statistische Daten:<br>' . '<br>Varianz: ' . round($VY, 5) . '<br>StdAbw: ' . round($SY, 5) . '<br>' . '</td><td valign=middle><br>' . showakt($alfahier, 50, 1, 5, 3, 0) . '<center><div class=text7 >' . $ba2 . '</div></center>' . '</td></tr><tr><td>' . '<br>Zeichen: ' . strlen($codtxt) . '<br>Entropie: ' . round(entropie($codtxt), 5) . '<br>KI-Index: ' . round(koinzidenzIndex($codtxt), 5) . '</td><td>' . '<br>GV-Maß1: ' . round(gvmass($codtxt, $alfahier), 5) . '<br>GV-Maß2: ' . round(gvmass2($codtxt, $alfahier), 5) . '</td></tr></table><div class=text10><br>Kovarianz: ' . round($cov, 5) . '<br>KorrKoeff: ' . round($r, 5) . '</div>'; return $out; }
function findmul($text) { # Alfabetmultiplikator finden global $AP; global $alfa; $mulzahl = teilerfremde(sizeof($alfa)); $VX = varianz($AP[de]); $SX = sqrt(varianz($AP[de])); $sp = hauf($text); $sps = array_sum($sp); for ($t = 0; $t < sizeof($sp); $t++) { $sp[$t] = @round($sp[$t] / $sps * 100, 2); } for ($t = 0; $t < sizeof($mulzahl); $t++) { for ($u = 0; $u < sizeof($sp); $u++) { $sp2[$u] = $sp[$mulzahl[$t] * $u % sizeof($sp)]; } $VY = varianz($sp2); $SY = sqrt(varianz($sp2)); $cov = covarianz($AP[de], $sp2); $r[$t] = @abs($cov / sqrt($VX * $VY)); } $b = array_search(max($r), $r); return $mulzahl[$b]; }