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_downloads/9911a4d807ac9f1a695f0aa2cf687076/coverage.xml

@@ -1,5 +1,5 @@
 <?xml version="1.0" ?>
-<coverage version="7.6.4" timestamp="1731440137660" lines-valid="823" lines-covered="418" line-rate="0.5079" branches-covered="0" branches-valid="0" branch-rate="0" complexity="0">
+<coverage version="7.6.4" timestamp="1731441335716" lines-valid="823" lines-covered="418" line-rate="0.5079" branches-covered="0" branches-valid="0" branch-rate="0" complexity="0">
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 	<sources>

_sources/statlab_kappa3.rst.txt

@@ -47,7 +47,7 @@ See table-1_.
 .. list-table:: Counts for 3 or more categories
    :widths: 10 10 10 10 10 10
    :header-rows: 1
-   :name: table-1
+   :label: table-1
 
    * - 
      - Rater 2: :math:`v_1`
@@ -96,7 +96,7 @@ The SE of :math:`\kappa` is calculated as :math:`\sqrt{\frac{p_O(1-p_O)}{n(1-p_E
 Bias, Prevalence and Adjusted Kappas
 *************
 
-All discussions in this section are based on Byrt, T., Bishop, J., & Carlin, J. B. (1993) [1]_ [2]_ [3]_.
+All discussion in this section are based on Byrt, T., Bishop, J., & Carlin, J. B. (1993) [1]_ [2]_ [3]_.
 
 Bias Index (BI) 
 =============
@@ -225,7 +225,7 @@ and
   p_O^{(BAPA)} = \frac{1}{n} \left( N_{11}^{(PA)} + N_{22}^{(PA)} \right) = \frac{1}{n} \left( N_{11} + N_{22} \right) = p_O.
 
 
-Therefore, the :math:`kappa` value based on table-2_ can be calculated as:
+Therefore, the :math:`\kappa` value based on table-2_ can be calculated as:
 
 .. math::
   \kappa^{(BAPA)} = \frac{p_O - 0.5}{1 - 0.5} = 2p_O - 1,

_static/reports/coverage/coverage.xml

@@ -1,5 +1,5 @@
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+<coverage version="7.6.4" timestamp="1731441335716" lines-valid="823" lines-covered="418" line-rate="0.5079" branches-covered="0" branches-valid="0" branch-rate="0" complexity="0">
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 	<!-- Based on https://raw.githubusercontent.com/cobertura/web/master/htdocs/xml/coverage-04.dtd -->
 	<sources>

_static/reports/junit/junit.xml

@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8"?><testsuites><testsuite name="pytest" errors="0" failures="0" skipped="0" tests="23" time="8.294" timestamp="2024-11-12T19:35:23.248005+00:00" hostname="fv-az1198-562"><testcase classname="tests.test_statlab_corr.TestCorrCalculator" name="test_calculate_kendall_tau_with_dataframe" time="0.003" /><testcase classname="tests.test_statlab_corr.TestCorrCalculator" name="test_calculate_kendall_tau_with_list" time="0.002" /><testcase classname="tests.test_statlab_corr.TestCorrCalculator" name="test_plot_y_list" time="0.017" /><testcase classname="tests.test_statlab_kappa.TestKappaCalculator" name="test_bootstrap_cohen_ci" time="0.233" /><testcase classname="tests.test_statlab_kappa.TestKappaCalculator" name="test_cohen" time="0.069" /><testcase classname="tests.test_statlab_kappa.TestKappaCalculator" name="test_fleiss_kappa" time="0.068" /><testcase classname="tests.test_util_cdt.TestCdt" name="test_diff_2cols_in_1df_invalid_input" time="0.001" /><testcase classname="tests.test_util_cdt.TestCdt" name="test_diff_2cols_in_1df_missing_column" time="0.001" /><testcase classname="tests.test_util_cdt.TestCdt" name="test_diff_2cols_in_1df_with_difference" time="0.004" /><testcase classname="tests.test_util_cdt.TestCdt" name="test_diff_2cols_in_1df_without_difference" time="0.002" /><testcase classname="tests.test_util_cdt.TestCdt" name="test_diff_2cols_in_2df_with_existing_column" time="0.009" /><testcase classname="tests.test_util_cdt.TestCdt" name="test_diff_2cols_in_2df_with_non_existing_column" time="0.001" /><testcase classname="tests.test_util_cdt.TestCdt" name="test_diff_2cols_in_2df_with_non_existing_group" time="0.001" /><testcase classname="tests.test_util_cdt.TestCdt" name="test_diff_2cols_in_2df_with_same_group_and_column" time="0.001" /><testcase classname="tests.test_util_cdtg.TestCatPlotter" name="test_boxplot" time="0.404" /><testcase classname="tests.test_util_cdtg.TestCatPlotter" name="test_lineplot" time="0.350" /><testcase classname="tests.test_util_cdtg.TestCatPlotter" name="test_update_parameters" time="0.001" /><testcase classname="tests.test_util_lsr.TestLsrTree" name="test_list_files_dataframe" time="0.001" /><testcase classname="tests.test_util_lsr.TestLsrTree" name="test_list_files_json" time="0.001" /><testcase classname="tests.test_util_lsr.TestLsrTree" name="test_list_files_list" time="0.001" /><testcase classname="tests.test_util_lsr.TestLsrTree" name="test_list_files_string" time="0.000" /><testcase classname="tests.test_util_lsr.TestLsrTree" name="test_list_files_tree" time="0.014" /><testcase classname="tests.test_util_lsr.TestLsrTree" name="test_list_files_tree2" time="0.009" /></testsuite></testsuites>
+<?xml version="1.0" encoding="utf-8"?><testsuites><testsuite name="pytest" errors="0" failures="0" skipped="0" tests="23" time="11.111" timestamp="2024-11-12T19:55:19.002383+00:00" hostname="fv-az1487-971"><testcase classname="tests.test_statlab_corr.TestCorrCalculator" name="test_calculate_kendall_tau_with_dataframe" time="0.003" /><testcase classname="tests.test_statlab_corr.TestCorrCalculator" name="test_calculate_kendall_tau_with_list" time="0.002" /><testcase classname="tests.test_statlab_corr.TestCorrCalculator" name="test_plot_y_list" time="0.016" /><testcase classname="tests.test_statlab_kappa.TestKappaCalculator" name="test_bootstrap_cohen_ci" time="0.228" /><testcase classname="tests.test_statlab_kappa.TestKappaCalculator" name="test_cohen" time="0.068" /><testcase classname="tests.test_statlab_kappa.TestKappaCalculator" name="test_fleiss_kappa" time="0.066" /><testcase classname="tests.test_util_cdt.TestCdt" name="test_diff_2cols_in_1df_invalid_input" time="0.001" /><testcase classname="tests.test_util_cdt.TestCdt" name="test_diff_2cols_in_1df_missing_column" time="0.001" /><testcase classname="tests.test_util_cdt.TestCdt" name="test_diff_2cols_in_1df_with_difference" time="0.004" /><testcase classname="tests.test_util_cdt.TestCdt" name="test_diff_2cols_in_1df_without_difference" time="0.002" /><testcase classname="tests.test_util_cdt.TestCdt" name="test_diff_2cols_in_2df_with_existing_column" time="0.009" /><testcase classname="tests.test_util_cdt.TestCdt" name="test_diff_2cols_in_2df_with_non_existing_column" time="0.001" /><testcase classname="tests.test_util_cdt.TestCdt" name="test_diff_2cols_in_2df_with_non_existing_group" time="0.001" /><testcase classname="tests.test_util_cdt.TestCdt" name="test_diff_2cols_in_2df_with_same_group_and_column" time="0.001" /><testcase classname="tests.test_util_cdtg.TestCatPlotter" name="test_boxplot" time="0.384" /><testcase classname="tests.test_util_cdtg.TestCatPlotter" name="test_lineplot" time="0.332" /><testcase classname="tests.test_util_cdtg.TestCatPlotter" name="test_update_parameters" time="0.001" /><testcase classname="tests.test_util_lsr.TestLsrTree" name="test_list_files_dataframe" time="0.001" /><testcase classname="tests.test_util_lsr.TestLsrTree" name="test_list_files_json" time="0.001" /><testcase classname="tests.test_util_lsr.TestLsrTree" name="test_list_files_list" time="0.001" /><testcase classname="tests.test_util_lsr.TestLsrTree" name="test_list_files_string" time="0.000" /><testcase classname="tests.test_util_lsr.TestLsrTree" name="test_list_files_tree" time="0.014" /><testcase classname="tests.test_util_lsr.TestLsrTree" name="test_list_files_tree2" time="0.008" /></testsuite></testsuites>

statlab_corr_spearman_rho.html

@@ -102,7 +102,7 @@ <h2>Background<a class="headerlink" href="#background" title="Link to this headi
 <h2>Notation<a class="headerlink" href="#notation" title="Link to this heading"></a></h2>
 <p>Let <span class="math notranslate nohighlight">\((Y_{i1}, Y_{i2})\)</span> be a pair of random variables corresponding to the <span class="math notranslate nohighlight">\(i\)</span> th sample where <span class="math notranslate nohighlight">\(i = 1, \ldots, n\)</span>.</p>
 <table class="docutils align-default" id="tbl-count1">
-<caption><span class="caption-number">Table 20 </span><span class="caption-text">Observed Value</span><a class="headerlink" href="#tbl-count1" title="Link to this table"></a></caption>
+<caption><span class="caption-number">Table 19 </span><span class="caption-text">Observed Value</span><a class="headerlink" href="#tbl-count1" title="Link to this table"></a></caption>
 <colgroup>
 <col style="width: 33.3%" />
 <col style="width: 33.3%" />
@@ -154,7 +154,7 @@ <h2>Notation<a class="headerlink" href="#notation" title="Link to this heading">
 <section id="example-group-1">
 <h2>Example - Group-1<a class="headerlink" href="#example-group-1" title="Link to this heading"></a></h2>
 <table class="docutils align-default" id="tbl-ex1">
-<caption><span class="caption-number">Table 21 </span><span class="caption-text">Spearman’s <span class="math notranslate nohighlight">\(\rho = 1.0\)</span></span><a class="headerlink" href="#tbl-ex1" title="Link to this table"></a></caption>
+<caption><span class="caption-number">Table 20 </span><span class="caption-text">Spearman’s <span class="math notranslate nohighlight">\(\rho = 1.0\)</span></span><a class="headerlink" href="#tbl-ex1" title="Link to this table"></a></caption>
 <colgroup>
 <col style="width: 33.3%" />
 <col style="width: 33.3%" />
@@ -182,7 +182,7 @@ <h2>Example - Group-1<a class="headerlink" href="#example-group-1" title="Link t
 </tbody>
 </table>
 <table class="docutils align-default" id="id3">
-<caption><span class="caption-number">Table 22 </span><span class="caption-text">Spearman’s <span class="math notranslate nohighlight">\(\rho = -1.0\)</span></span><a class="headerlink" href="#id3" title="Link to this table"></a></caption>
+<caption><span class="caption-number">Table 21 </span><span class="caption-text">Spearman’s <span class="math notranslate nohighlight">\(\rho = -1.0\)</span></span><a class="headerlink" href="#id3" title="Link to this table"></a></caption>
 <colgroup>
 <col style="width: 33.3%" />
 <col style="width: 33.3%" />

statlab_corr_tau.html

@@ -106,7 +106,7 @@ <h2>Background<a class="headerlink" href="#background" title="Link to this headi
 <h2>Notation<a class="headerlink" href="#notation" title="Link to this heading"></a></h2>
 <p>Let <span class="math notranslate nohighlight">\((Y_{i1}, Y_{i2})\)</span> be a pair of random variables corresponding to the <span class="math notranslate nohighlight">\(i\)</span> th sample where <span class="math notranslate nohighlight">\(i = 1, \ldots, n\)</span>.</p>
 <table class="docutils align-default" id="tbl-count1">
-<caption><span class="caption-number">Table 17 </span><span class="caption-text">Observed Value</span><a class="headerlink" href="#tbl-count1" title="Link to this table"></a></caption>
+<caption><span class="caption-number">Table 16 </span><span class="caption-text">Observed Value</span><a class="headerlink" href="#tbl-count1" title="Link to this table"></a></caption>
 <colgroup>
 <col style="width: 33.3%" />
 <col style="width: 33.3%" />
@@ -165,7 +165,7 @@ <h2>Notation<a class="headerlink" href="#notation" title="Link to this heading">
 <section id="example-group-1">
 <h2>Example - Group-1<a class="headerlink" href="#example-group-1" title="Link to this heading"></a></h2>
 <table class="docutils align-default" id="tbl-ex1">
-<caption><span class="caption-number">Table 18 </span><span class="caption-text">Kendall’s <span class="math notranslate nohighlight">\(\tau = 1.0\)</span></span><a class="headerlink" href="#tbl-ex1" title="Link to this table"></a></caption>
+<caption><span class="caption-number">Table 17 </span><span class="caption-text">Kendall’s <span class="math notranslate nohighlight">\(\tau = 1.0\)</span></span><a class="headerlink" href="#tbl-ex1" title="Link to this table"></a></caption>
 <colgroup>
 <col style="width: 33.3%" />
 <col style="width: 33.3%" />
@@ -193,7 +193,7 @@ <h2>Example - Group-1<a class="headerlink" href="#example-group-1" title="Link t
 </tbody>
 </table>
 <table class="docutils align-default" id="id3">
-<caption><span class="caption-number">Table 19 </span><span class="caption-text">Kendall’s <span class="math notranslate nohighlight">\(\tau = -1.0\)</span></span><a class="headerlink" href="#id3" title="Link to this table"></a></caption>
+<caption><span class="caption-number">Table 18 </span><span class="caption-text">Kendall’s <span class="math notranslate nohighlight">\(\tau = -1.0\)</span></span><a class="headerlink" href="#id3" title="Link to this table"></a></caption>
 <colgroup>
 <col style="width: 33.3%" />
 <col style="width: 33.3%" />