update matlab toolbox and online manual

Author: acp29

README.html

@@ -227,14 +227,22 @@ <h3 id="quick-start">Quick start</h3>
 href="https://gnu-octave.github.io/statistics-resampling/function/bootlm.html#4">One-way
 repeated measures ANOVA</a></p></li>
 <li><p><a
+href="https://gnu-octave.github.io/statistics-resampling/function/randtest1.html#1">Randomization
+or permutation test to evaluate whether a sample comes from a population
+with the specified mean</a></p></li>
+<li><p><a
 href="https://gnu-octave.github.io/statistics-resampling/function/randtest2.html#1">Randomization
-or permutation tests to compare the distributions of two independent or
+or permutation test to compare the distributions of two independent or
 paired/matching samples</a></p></li>
 <li><p><a
 href="https://gnu-octave.github.io/statistics-resampling/function/randtest2.html#5">Randomization
-or permutation tests to compare the distributions of two independent
+or permutation test to compare the distributions of two independent
 samples with clustered observations</a></p></li>
 <li><p><a
+href="https://gnu-octave.github.io/statistics-resampling/function/randtest.html#3">Randomization
+or permutation test to evaluate the statistical significance of a
+correlation coefficient</a></p></li>
+<li><p><a
 href="https://gnu-octave.github.io/statistics-resampling/function/bootmode.html#1">Statistically
 evaluate the number of modes (i.e. peaks) in a distribution</a></p></li>
 <li><p><a

docs/function/boot1way.html

@@ -529,7 +529,7 @@ <h3><a name="7">Demonstration 7</a></h3>
 -----------------------------------------------------------------------------
 | Comparison |     Test # |      Ref # | Difference |          t |        p |
 |------------|------------|------------|------------|------------|----------|
-|          1 |          2 |          1 |    +0.8304 |      +1.63 |     .161 |
+|          1 |          2 |          1 |    +0.3821 |      +0.95 |     .347 |
 
 -----------------------------------------------------------------------------
 |    GROUP # |                                       GROUP label |        N |
@@ -574,7 +574,7 @@ <h3><a name="8">Demonstration 8</a></h3>
 -----------------------------------------------------------------------------
 | Comparison |     Test # |      Ref # | Difference |          t |        p |
 |------------|------------|------------|------------|------------|----------|
-|          1 |          2 |          1 |    +0.6446 |      +1.33 |     .078 |
+|          1 |          2 |          1 |    +0.6944 |      +0.95 |     .221 |
 
 -----------------------------------------------------------------------------
 |    GROUP # |                                       GROUP label |        N |

docs/function/bootci.html

@@ -468,8 +468,8 @@ <h3><a name="10">Demonstration 10</a></h3>
 <p>Produces the following output</p>
 <pre class="example">ci =
 
-     -0.74781     -0.35862
-        0.276      0.50962</pre>
+     -0.49903     -0.32048
+       0.1719      0.20754</pre>
 </div>
 
 <h3><a name="11">Demonstration 11</a></h3>

docs/function/bootclust.html

@@ -376,8 +376,8 @@ <h3><a name="7">Demonstration 7</a></h3>
 
 Bootstrap Statistics: 
  original     bias         std_error    CI_lower     CI_upper  
- +0.3625      -0.01706     +0.2193      +0.01007     +0.7266    
- +0.2251      +0.001246    +0.2250      -0.1672      +0.5763</pre>
+ +0.05661     +0.008427    +0.1783      -0.2258      +0.3597    
+ -0.5011      -0.01251     +0.2094      -0.8576      -0.1695</pre>
 </div>
 
 <h3><a name="8">Demonstration 8</a></h3>
@@ -406,8 +406,8 @@ <h3><a name="8">Demonstration 8</a></h3>
 
 Bootstrap Statistics: 
  original     bias         std_error    CI_lower     CI_upper  
- +0.1434      +0.02090     +0.1595      -0.03552     +0.4799    
- -0.1623      +0.01750     +0.1080      -0.3331      +0.005695</pre>
+ +0.03812     -0.01768     +0.1313      -0.2242      +0.2101    
+ +0.2485      -0.01351     +0.2831      -0.3207      +0.6026</pre>
 </div>
 
 <h3><a name="9">Demonstration 9</a></h3>

docs/function/bootknife.html

@@ -442,8 +442,8 @@ <h3><a name="8">Demonstration 8</a></h3>
 
 Bootstrap Statistics: 
  original     bias         std_error    CI_lower     CI_upper  
- +0.1331      -0.01506     +0.2166      -0.2376      +0.4716    
- -0.5121      +0.01136     +0.1966      -0.9021      -0.2342</pre>
+ -0.3468      -0.01215     +0.2650      -0.8105      +0.05247   
+ +0.5558      -0.01072     +0.2145      +0.1827      +0.8684</pre>
 </div>
 
 <h3><a name="9">Demonstration 9</a></h3>

docs/function/bootmode.html

@@ -149,9 +149,9 @@ <h3><a name="1">Demonstration 1</a></h3>
 <p>Produces the following output</p>
 <pre class="example">ans = Summary of results:
 
-ans = H1 is 1 with p = 0.0005 so reject the null hypothesisthat there is 1 mode
+ans = H1 is 1 with p = 0.0015 so reject the null hypothesisthat there is 1 mode
 
-ans = H2 is 0 with p = 0.343 so accept the null hypothesis that there are 2 modes</pre>
+ans = H2 is 0 with p = 0.327 so accept the null hypothesis that there are 2 modes</pre>
 </div>
 
 <p>Package: <a href="../index.html">statistics-resampling</a></p>

docs/function/bootwild.html

@@ -180,7 +180,7 @@ <h3><a name="1">Demonstration 1</a></h3>
 
 Test Statistics: 
  original     std_err      CI_lower     CI_upper     t-stat      p-val     FPR
- +184.5       +1.243       +181.7       +187.3       +148.       <.001    .010</pre>
+ +184.5       +1.243       +181.6       +187.4       +148.       <.001    .010</pre>
 </div>
 
 <h3><a name="2">Demonstration 2</a></h3>
@@ -218,8 +218,8 @@ <h3><a name="2">Demonstration 2</a></h3>
 
 Test Statistics: 
  original     std_err      CI_lower     CI_upper     t-stat      p-val     FPR
- +175.5       +2.502       +169.9       +181.1       +70.1       <.001    .010
- +0.1904      +0.08261     +0.01031     +0.3705      +2.31        .039    .257</pre>
+ +175.5       +2.502       +169.8       +181.2       +70.1       <.001    .010
+ +0.1904      +0.08261     +0.003534    +0.3773      +2.31        .047    .280</pre>
 </div>
 
 <p>Package: <a href="../index.html">statistics-resampling</a></p>

docs/function/cor.html

@@ -20,7 +20,7 @@
 <div id="doccontent">
 
 <h2>cor</h2>
-<pre> Vectorized function for computating Pearson's correlation coefficient (RHO)
+<pre> Vectorized function for computing Pearson's correlation coefficient (RHO)
  between each of the respective columns in two data vectors or matrices.
 
  -- Function File: RHO = cor (X, Y)