Commit 828a1896 authored by adrian.canosa's avatar adrian.canosa

Traducciones inglés.

parent e68ae6a7
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......@@ -124,7 +124,7 @@
<li><b>Independence:</b> Samples or data obtained by the algorithms do not depend on each other (assumed by users).</li>
<br>
<li>
<b>Homoscedasticity:</b> It is the condition which says that the populations of input or data obtained by the algorithms come from populations with equal variances. The opposite would heteroscedasticity.
<b>Homoscedasticity:</b> It is the condition which says that the input populations or data obtained by the algorithms come from populations with equal variances. The opposite would be heteroscedasticity.
<br><br>
<img src="imagenes/homocedasticidad.png" class="img-responsive" alt="Heterocedasticidad y Homocedasticidad" width="300px;" height="225px;">
</li>
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......@@ -141,7 +141,7 @@
<br>
<p><u>General information:</u></p>
<ul type = square>
<li>Null hypothesis (H<sub>0</sub>): All populations of input come from populations with equal variances.
<li>Null hypothesis (H<sub>0</sub>): All the input populations come from populations with equal variances.
</ul>
</div>
<div id="ver_resultados_homocedasticidad" class="tab-pane fade">
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......@@ -655,7 +655,7 @@ function generar_tabla_wilcoxon(data) {
salida = salida + "<a href=\"#\" onclick=\"exportTableToCSV.apply(this, [$('table'), 'wilcoxon_test.csv'])\"><button class=\"btn btn-default\">Exporta to csv</button></a>&nbsp;&nbsp;<a href=\"#\" onclick=\"exportTableToLaTeX.apply(this, [$('table'), 'wilcoxon_test.tex'])\"><button class=\"btn btn-default\">Export to LaTeX</button></a>";
salida = salida + "<br><br><table class=\"table table-hover\"><thead>";
salida = salida + "<tr><th>Statistic</th><th>Critical point</th><th>Positive Sum Ranges</th><th>Negative Sum Ranges</th><th>Resultado</th></tr></thead>";
salida = salida + "<tr><th>Statistic</th><th>Critical point</th><th>Sum of positive ranks</th><th>Sum of negative ranks</th><th>Result</th></tr></thead>";
salida = salida + "<tbody><tr><td>" +data.estadistico+ "</td><td>" +data["punto critico"]+ "</td><td>" +data["suma rangos pos"]+ "</td><td>" +data["suma rangos neg"]+ "</td>";
if(data.resultado == true)
salida = salida + "<td>H0 is rejected</td></tr></tbody></table>";
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......@@ -62,7 +62,7 @@
</div>
<div class="modal-body">
<form class="form" id="formfichero" enctype="multipart/form-data">
<p class="text-warning"><small>The file must be in csv format &nbsp;&nbsp;<label><a href="ayuda.html#collapseOne" id="ayuda_fichero" target="_blank">[More info]</a></label></small></p>
<p class="text-warning"><small>The file must be csv format &nbsp;&nbsp;<label><a href="ayuda.html#collapseOne" id="ayuda_fichero" target="_blank">[More info]</a></label></small></p>
<div class="input-group">
<span class="input-group-btn">
<span class="btn btn-primary btn-file">
......@@ -152,12 +152,12 @@
<p><strong>Shapiro-Wilk:</strong></p>
<ul type = square>
<li>Null hypothesis (H<sub>0</sub>): The samples follow a normal distribution.
<li>Power: The best of the three methods, especially for samples with less than 30 elements.
<li>Power: The best of the three methods, especially for samples of less than 30 elements.
</ul>
<p><strong>D'Agostino-Pearson:</strong></p>
<ul type = square>
<li>Null hypothesis (H<sub>0</sub>): The samples come from a normally distributed population.
<li>Power: Less than the Shapiro-Wilk test.
<li>Power: It's less powerful than Shapiro-Wilk.
</ul>
<p><strong>Kolmogorov-Smirnov:</strong></p>
<ul type = square>
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......@@ -158,7 +158,7 @@
<script>
function obtener_nombre(){
var nombre_test = $('label[name="nombre_test"].active').text();
$('#texto_tests').html("<h3>Select the Post-Hoc test to apply after "+nombre_test+" test:<h3>");
$('#texto_tests').html("<h3>Select the POST-HOC test to apply after "+nombre_test+" test:<h3>");
}
</script>
<div class="col-xs-offset-4 col-xs-8 col-sm-offset-3 col-sm-9 col-md-offset-2 col-md-10 col-lg-offset-2 col-lg-10">
......@@ -172,8 +172,8 @@
<p><strong>Comments:</strong></p>
<ul type = square>
<li>Friedman: Between-group comparisons.
<li>Iman-davenport: Less conservative behavior that Friedman.
<li>Friedman Aligned Ranks: Comparisons between data sets. When the number of algorithms to be compared is small.
<li>Iman-davenport: Its behavior is less conservative than that of Friedman's test.
<li>Friedman's aligned ranks: Comparisons between data sets. When the number of algorithms to be compared is small.
<li>Quade: The rankings are scaled depending on the differences in the performance of the algorithms.
</ul>
</div>
......@@ -182,7 +182,7 @@
<div id="texto_tests"></div>
<form class="form-horizontal" role="form">
<div class="form-group">
<label class="col-xs-4 col-sm-3 col-md-2 col-lg-2 control-label">Post-Hoc test: <br><a href="ayuda.html#collapseSix" id="ayuda_fichero" target="_blank">[More info]</a></label>
<label class="col-xs-4 col-sm-3 col-md-2 col-lg-2 control-label">POST-HOC test: <br><a href="ayuda.html#collapseSix" id="ayuda_fichero" target="_blank">[More info]</a></label>
<div class="col-xs-8 col-sm-9 col-md-10 col-lg-10">
<div class="btn-group-vertical" data-toggle="buttons">
<label name="nombre_post" class="btn btn-primary active"><input type="radio" name="post_hoc" value="bonferroni_dunn_test" checked>Bonferroni-Dunn</label>
......@@ -209,8 +209,8 @@
<p><strong>Null hypothesis (H<sub>0</sub>):</strong> There is no difference between "Algorithm A" and "Algorithm B".</p>
<p><strong>Comments:</strong></p>
<ul type = square>
<li>For Post-Hoc tests normal, best ranking algorithm is compared with others.
<li>For Post-Hoc tests multitests, all the algorithms are compared each other, so there will be more hypothesis to be tested.
<li>For POST-HOC simple, the first algorithm returned from the ranking test is compared with the others.
<li>For POST-HOC multitests, all the algorithms are compared each other, so there will be more hypothesis to be tested.
<li>The tests are ordered from low to high power (both normal and multitests).
</ul>
</form>
......
......@@ -140,7 +140,7 @@
</form>
<br>
<p><u>General information:</u></p>
<p><strong>Null hypothesis (H<sub>0</sub>):</strong> Two related samples or repeated have identical mean values ​​(expected).</p>
<p><strong>Null hypothesis (H<sub>0</sub>):</strong> Two related or repeated samples have identical mean values ​​(expected).</p>
<p><strong>It should comply:</strong></p>
<ul type = square>
<li>Normality
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......@@ -141,10 +141,11 @@
</form>
<br>
<p><u>General information:</u></p>
<p><strong>Null hypothesis (H<sub>0</sub>):</strong> The medians of the differences in two samples (results of two algorithms) related are equal.</p>
<p><strong>Null hypothesis (H<sub>0</sub>):</strong> The medians of the differences between two related samples (results from two algorithms) are equal.</p>
<p><strong>Restrictions:</strong></p>
<ul type = square>
<li>Algorithms number >= 2
<li>Number of algorithms >= 2</li>
<li>There must be at least 5 data sets with discrepancies not equal to 0.</li>
</ul>
</div>
<!--Mostrar resultados Wilcoxon-->
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