From a300020114750969f00b989daa1b15c4bfd6eb98 Mon Sep 17 00:00:00 2001
From: acp29 <A.C.Penn@sussex.ac.uk>
Date: Tue, 2 Apr 2024 16:18:04 +0100
Subject: [PATCH] update manual

---
 docs/function/boot.html               | 192 ++++++++++++++++----------
 docs/function/boot1way.html           |   4 +-
 docs/function/bootbayes.html          |   6 +-
 docs/function/bootci.html             |  46 +++---
 docs/function/bootclust.html          |  45 +++---
 docs/function/bootknife.html          |  48 +++----
 docs/function/bootlm.html             | 154 ++++++++++-----------
 docs/function/bootmode.html           |   4 +-
 docs/function/bootstrp.html           | 104 +++++++-------
 docs/function/bootwild.html           |   4 +-
 docs/function/images/boot1way_701.png | Bin 24186 -> 24422 bytes
 docs/function/images/boot1way_801.png | Bin 24791 -> 25157 bytes
 docs/function/randtest2.html          |  20 +--
 docs/function/sampszcalc.html         |   6 +-
 14 files changed, 342 insertions(+), 291 deletions(-)

diff --git a/docs/function/boot.html b/docs/function/boot.html
index b72ec044..2c667a86 100644
--- a/docs/function/boot.html
+++ b/docs/function/boot.html
@@ -116,17 +116,23 @@ <h3><a name="1">Demonstration 1</a></h3>
 <p>Produces the following output</p>
 <pre class="example">ans =
 
- Columns 1 through 10:
+                                     Columns 1 through 8:
 
-            2            2            3            3            1            1            2            2            3            2
-            2            3            3            2            1            1            1            2            3            3
-            3            2            3            3            2            2            2            1            3            3
+                                                2            2            3            3            1            1            2            2
+                                                2            3            3            2            1            1            1            2
+                                                3            2            3            3            2            2            2            1
 
- Columns 11 through 20:
+                                     Columns 9 through 16:
 
-            2            3            3            1            3            2            1            2            3            1
-            3            1            1            2            3            3            2            1            1            2
-            1            1            1            1            2            1            2            1            3            1</pre>
+                                                3            2            2            3            3            1            3            2
+                                                3            3            3            1            1            2            3            3
+                                                3            3            1            1            1            1            2            1
+
+                                     Columns 17 through 20:
+
+                                                1            2            3            1
+                                                2            1            1            2
+                                                2            1            3            1</pre>
 </div>
 
 <h3><a name="2">Demonstration 2</a></h3>
@@ -139,17 +145,23 @@ <h3><a name="2">Demonstration 2</a></h3>
 <p>Produces the following output</p>
 <pre class="example">ans =
 
- Columns 1 through 10:
+                                     Columns 1 through 8:
+
+                                                3            3            2            3            1            2            2            1
+                                                2            1            1            2            1            1            3            1
+                                                2            3            1            3            3            2            3            1
+
+                                     Columns 9 through 16:
 
-            3            3            2            3            1            2            2            1            1            3
-            2            1            1            2            1            1            3            1            1            3
-            2            3            1            3            3            2            3            1            1            3
+                                                1            3            3            1            2            3            2            2
+                                                1            3            3            2            3            1            1            3
+                                                1            3            3            1            3            3            1            2
 
- Columns 11 through 20:
+                                     Columns 17 through 20:
 
-            3            1            2            3            2            2            1            2            2            3
-            3            2            3            1            1            3            1            2            2            2
-            3            1            3            3            1            2            1            2            2            2</pre>
+                                                1            2            2            3
+                                                1            2            2            2
+                                                1            2            2            2</pre>
 </div>
 
 <h3><a name="3">Demonstration 3</a></h3>
@@ -164,45 +176,63 @@ <h3><a name="3">Demonstration 3</a></h3>
 <p>Produces the following output</p>
 <pre class="example">ans =
 
- Columns 1 through 10:
+                                     Columns 1 through 8:
+
+                                                3            3            3            3            1            2            3            3
+                                                3            1            2            2            3            1            3            1
+                                                3            2            3            1            3            1            1            1
+
+                                     Columns 9 through 16:
+
+                                                1            1            2            2            1            2            2            2
+                                                2            2            3            3            2            3            3            3
+                                                3            1            2            3            2            1            2            2
+
+                                     Columns 17 through 20:
 
-            3            3            3            3            1            2            3            3            1            1
-            3            1            2            2            3            1            3            1            2            2
-            3            2            3            1            3            1            1            1            3            1
+                                                1            2            1            1
+                                                3            1            1            2
+                                                2            1            2            1
 
- Columns 11 through 20:
+                                    ans =
 
-            2            2            1            2            2            2            1            2            1            1
-            3            3            2            3            3            3            3            1            1            2
-            2            3            2            1            2            2            2            1            2            1
+                                     Columns 1 through 8:
 
-ans =
+                                                3            3            3            3            1            2            3            3
+                                                3            1            2            2            3            1            3            1
+                                                3            2            3            1            3            1            1            1
 
- Columns 1 through 10:
+                                     Columns 9 through 16:
 
-            3            3            3            3            1            2            3            3            1            1
-            3            1            2            2            3            1            3            1            2            2
-            3            2            3            1            3            1            1            1            3            1
+                                                1            1            2            2            1            2            2            2
+                                                2            2            3            3            2            3            3            3
+                                                3            1            2            3            2            1            2            2
 
- Columns 11 through 20:
+                                     Columns 17 through 20:
 
-            2            2            1            2            2            2            1            2            1            1
-            3            3            2            3            3            3            3            1            1            2
-            2            3            2            1            2            2            2            1            2            1
+                                                1            2            1            1
+                                                3            1            1            2
+                                                2            1            2            1
 
-ans =
+                                    ans =
 
- Columns 1 through 10:
+                                     Columns 1 through 8:
 
-            3            2            2            3            2            3            1            2            2            3
-            1            3            1            1            2            3            3            3            1            2
-            1            3            3            1            1            1            2            3            2            2
+                                                3            2            2            3            2            3            1            2
+                                                1            3            1            1            2            3            3            3
+                                                1            3            3            1            1            1            2            3
 
- Columns 11 through 20:
+                                     Columns 9 through 16:
 
-            1            2            3            1            2            3            2            3            2            3
-            1            1            2            1            3            1            1            3            3            2
-            2            1            2            3            3            1            1            2            2            1</pre>
+                                                2            3            1            2            3            1            2            3
+                                                1            2            1            1            2            1            3            1
+                                                2            2            2            1            2            3            3            1
+
+                                     Columns 17 through 20:
+
+                                                2            3            2            3
+                                                1            3            3            2
+                                                1            2            2            1</pre>
 </div>
 
 <h3><a name="4">Demonstration 4</a></h3>
@@ -217,15 +247,31 @@ <h3><a name="4">Demonstration 4</a></h3>
 <p>Produces the following output</p>
 <pre class="example">ans =
 
-           44           23           23           36           44           23           44           36           36           23
-           36           23           36           23           44           36           36           23           44           44
-           36           36           23           44           23           44           23           36           44           44
+                                     Columns 1 through 8:
+
+                                               44           23           23           36           44           23           44           36
+                                               36           23           36           23           44           36           36           23
+                                               36           36           23           44           23           44           23           36
+
+                                     Columns 9 and 10:
+
+                                               36           23
+                                               44           44
+                                               44           44
+
+                                    ans =
+
+                                     Columns 1 through 8:
+
+                                               23           23           23           36           23           23           23           36
+                                               36           23           36           23           23           36           36           23
+                                               36           36           23           23           23           23           23           36
 
-ans =
+                                     Columns 9 and 10:
 
-           23           23           23           36           23           23           23           36           36           23
-           36           23           36           23           23           36           36           23           23           23
-           36           36           23           23           23           23           23           36           23           23</pre>
+                                               36           23
+                                               23           23
+                                               23           23</pre>
 </div>
 
 <h3><a name="5">Demonstration 5</a></h3>
@@ -240,30 +286,30 @@ <h3><a name="5">Demonstration 5</a></h3>
 <p>Produces the following output</p>
 <pre class="example">ans =
 
-            4
-            2
-            3
-            5
-            4
-            6
-
-ans =
-
-            4
-            3
-            4
-            6
-            6
-            2
-
-ans =
-
-            5
-            6
-            3
-            4
-            1
-            6</pre>
+                                                4
+                                                2
+                                                3
+                                                5
+                                                4
+                                                6
+
+                                    ans =
+
+                                                4
+                                                3
+                                                4
+                                                6
+                                                6
+                                                2
+
+                                    ans =
+
+                                                5
+                                                6
+                                                3
+                                                4
+                                                1
+                                                6</pre>
 </div>
 
 <p>Package: <a href="../index.html">statistics-resampling</a></p>
diff --git a/docs/function/boot1way.html b/docs/function/boot1way.html
index c3a9e434..0b818776 100644
--- a/docs/function/boot1way.html
+++ b/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 |    +0.2663 |      +0.72 |     .405 |
+|          1 |          2 |          1 |    +0.2869 |      +0.57 |     .558 |
 
 -----------------------------------------------------------------------------
 |    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 |    +0.8165 |      +1.00 |     .242 |
+|          1 |          2 |          1 |    -0.6293 |      -1.71 |     .035 |*
 
 -----------------------------------------------------------------------------
 |    GROUP # |                                       GROUP label |        N |
diff --git a/docs/function/bootbayes.html b/docs/function/bootbayes.html
index e4283df2..f27b47cd 100644
--- a/docs/function/bootbayes.html
+++ b/docs/function/bootbayes.html
@@ -191,7 +191,7 @@ <h3><a name="1">Demonstration 1</a></h3>
 
 Posterior Statistics: 
  original     bias         median       stdev       CI_lower      CI_upper
- +184.5       -0.04557     +184.4       1.361       +181.8        +187.2</pre>
+ +184.5       -0.02210     +184.5       1.240       +182.1        +186.9</pre>
 </div>
 
 <h3><a name="2">Demonstration 2</a></h3>
@@ -228,8 +228,8 @@ <h3><a name="2">Demonstration 2</a></h3>
 
 Posterior Statistics: 
  original     bias         median       stdev       CI_lower      CI_upper
- +175.5       +0.02706     +175.5       2.411       +171.1        +180.4    
- +0.1904      -0.001895    +0.1888      0.08070     +0.03636      +0.3424</pre>
+ +175.5       +0.03532     +175.5       2.384       +171.1        +180.3    
+ +0.1904      -0.001074    +0.1909      0.07912     +0.04160      +0.3442</pre>
 </div>
 
 <p>Package: <a href="../index.html">statistics-resampling</a></p>
diff --git a/docs/function/bootci.html b/docs/function/bootci.html
index 057f6101..d9b4fcfb 100644
--- a/docs/function/bootci.html
+++ b/docs/function/bootci.html
@@ -184,8 +184,8 @@ <h3><a name="1">Demonstration 1</a></h3>
 <p>Produces the following output</p>
 <pre class="example">ci =
 
-       23.616
-       34.358</pre>
+                                           23.616
+                                           34.358</pre>
 </div>
 
 <h3><a name="2">Demonstration 2</a></h3>
@@ -204,8 +204,8 @@ <h3><a name="2">Demonstration 2</a></h3>
 <p>Produces the following output</p>
 <pre class="example">ci =
 
-       23.975
-       34.269</pre>
+                                           23.975
+                                           34.269</pre>
 </div>
 
 <h3><a name="3">Demonstration 3</a></h3>
@@ -225,8 +225,8 @@ <h3><a name="3">Demonstration 3</a></h3>
 <p>Produces the following output</p>
 <pre class="example">ci =
 
-        25.04
-       36.477</pre>
+                                            25.04
+                                           36.477</pre>
 </div>
 
 <h3><a name="4">Demonstration 4</a></h3>
@@ -243,8 +243,8 @@ <h3><a name="4">Demonstration 4</a></h3>
 <p>Produces the following output</p>
 <pre class="example">ci =
 
-       96.629
-       235.91</pre>
+                                           96.629
+                                           235.91</pre>
 </div>
 
 <h3><a name="5">Demonstration 5</a></h3>
@@ -261,8 +261,8 @@ <h3><a name="5">Demonstration 5</a></h3>
 <p>Produces the following output</p>
 <pre class="example">ci =
 
-       117.01
-       260.73</pre>
+                                           117.01
+                                           260.73</pre>
 </div>
 
 <h3><a name="6">Demonstration 6</a></h3>
@@ -282,8 +282,8 @@ <h3><a name="6">Demonstration 6</a></h3>
 <p>Produces the following output</p>
 <pre class="example">ci =
 
-       108.55
-       297.71</pre>
+                                           108.55
+                                           297.71</pre>
 </div>
 
 <h3><a name="7">Demonstration 7</a></h3>
@@ -303,8 +303,8 @@ <h3><a name="7">Demonstration 7</a></h3>
 <p>Produces the following output</p>
 <pre class="example">ci =
 
-       111.53
-       268.13</pre>
+                                           111.53
+                                           268.13</pre>
 </div>
 
 <h3><a name="8">Demonstration 8</a></h3>
@@ -325,8 +325,8 @@ <h3><a name="8">Demonstration 8</a></h3>
 <p>Produces the following output</p>
 <pre class="example">ci =
 
-      0.50501
-      0.86333</pre>
+                                          0.50501
+                                          0.86333</pre>
 </div>
 
 <h3><a name="9">Demonstration 9</a></h3>
@@ -431,13 +431,13 @@ <h3><a name="9">Demonstration 9</a></h3>
 <p>Produces the following output</p>
 <pre class="example">ans =
 
-       -16.69      -20.555      -12.325
-      -11.721      -15.104       -7.907
-      -8.0606      -11.244      -4.3564
-      0.10476    -0.081023      0.28225
-     0.010336   -0.0032993     0.022647
-      0.06452     0.033083     0.095608
-    0.0016638   0.00017173    0.0031554</pre>
+                                           -16.69      -20.555      -12.325
+                                          -11.721      -15.104       -7.907
+                                          -8.0606      -11.244      -4.3564
+                                          0.10476    -0.081023      0.28225
+                                         0.010336   -0.0032993     0.022647
+                                          0.06452     0.033083     0.095608
+                                        0.0016638   0.00017173    0.0031554</pre>
 </div>
 
 <h3><a name="10">Demonstration 10</a></h3>
diff --git a/docs/function/bootclust.html b/docs/function/bootclust.html
index 841e2a8a..3eeea407 100644
--- a/docs/function/bootclust.html
+++ b/docs/function/bootclust.html
@@ -114,10 +114,11 @@ <h2>bootclust</h2>
      so that bootclust results are reproducible.
 
      'bootclust (DATA, NBOOT, BOOTFUN, ALPHA, ..., LOO, SEED, NPROC)' also
-     sets the number of parallel processes to use for function evaluations
-     during bootstrap and jackknife computations on multicore machines. This
-     feature requires the Parallel package (in Octave), or the Parallel
-     Computing Toolbox (in Matlab).
+     sets the number of parallel processes to use for jackknife computations
+     and non-vectorized function evaluations during bootstrap and on multicore
+     machines. This feature requires the Parallel package (in Octave), or the
+     Parallel Computing Toolbox (in Matlab). This option is ignored during
+     bootstrap function evaluations when BOOTFUN is vectorized.
 
      'STATS = bootclust (...)' returns a structure with the following fields
      (defined above): original, bias, std_error, CI_lower, CI_upper.
@@ -125,6 +126,10 @@ <h2>bootclust</h2>
      '[STATS, BOOTSTAT] = bootclust (...)' returns BOOTSTAT, a vector or matrix
      of bootstrap statistics calculated over the bootstrap resamples.
 
+     '[STATS, BOOTSTAT, BOOTDATA] = bootclust (...)' returns BOOTDATA, a 1-by-
+     NBOOT cell array of datasets generated by cluster or block bootstrap
+     resampling.
+
   REQUIREMENTS:
     The function file boot.m (or better boot.mex) and bootcdf, which are
     distributed with the statistics-resampling package.
@@ -184,11 +189,11 @@ <h3><a name="1">Demonstration 1</a></h3>
  Number of resamples: 1999 
  Number of data rows in each block: 1 
  Confidence interval (CI) type: Expanded bias-corrected and accelerated (BCa) 
- Nominal coverage (and the percentiles used): 95% (1.2%, 97.6%)
+ Nominal coverage (and the percentiles used): 95% (1.1%, 97.2%)
 
 Bootstrap Statistics: 
  original     bias         std_error    CI_lower     CI_upper  
- +29.65       +4.263e-14   +2.612       +23.34       +34.53</pre>
+ +29.65       -3.197e-14   +2.564       +23.43       +34.48</pre>
 </div>
 
 <h3><a name="2">Demonstration 2</a></h3>
@@ -214,11 +219,11 @@ <h3><a name="2">Demonstration 2</a></h3>
  Resampling method: Balanced, bootstrap cluster resampling 
  Number of resamples: 1999 
  Confidence interval (CI) type: Expanded bias-corrected and accelerated (BCa) 
- Nominal coverage (and the percentiles used): 95% (1.1%, 98.8%)
+ Nominal coverage (and the percentiles used): 95% (1.1%, 98.7%)
 
 Bootstrap Statistics: 
  original     bias         std_error    CI_lower     CI_upper  
- +29.65       -0.03672     +2.929       +22.97       +36.10</pre>
+ +29.65       -0.02999     +2.920       +22.64       +35.86</pre>
 </div>
 
 <h3><a name="3">Demonstration 3</a></h3>
@@ -247,7 +252,7 @@ <h3><a name="3">Demonstration 3</a></h3>
 
 Bootstrap Statistics: 
  original     bias         std_error    CI_lower     CI_upper  
- +171.5       -6.542       +40.80       +99.57       +234.1</pre>
+ +171.5       -6.379       +42.98       +96.61       +239.1</pre>
 </div>
 
 <h3><a name="4">Demonstration 4</a></h3>
@@ -277,7 +282,7 @@ <h3><a name="4">Demonstration 4</a></h3>
 
 Bootstrap Statistics: 
  original     bias         std_error    CI_lower     CI_upper  
- +171.5       -8.635       +33.19       +106.3       +215.6</pre>
+ +171.5       -9.524       +33.03       +106.0       +215.4</pre>
 </div>
 
 <h3><a name="5">Demonstration 5</a></h3>
@@ -301,11 +306,11 @@ <h3><a name="5">Demonstration 5</a></h3>
  Number of resamples: 1999 
  Number of data rows in each block: 1 
  Confidence interval (CI) type: Bias-corrected and accelerated (BCa) 
- Nominal coverage (and the percentiles used): 90% (11.3%, 98.5%)
+ Nominal coverage (and the percentiles used): 90% (12.6%, 98.8%)
 
 Bootstrap Statistics: 
  original     bias         std_error    CI_lower     CI_upper  
- +171.5       -6.818       +42.53       +112.3       +260.3</pre>
+ +171.5       -6.608       +42.24       +117.3       +267.8</pre>
 </div>
 
 <h3><a name="6">Demonstration 6</a></h3>
@@ -330,11 +335,11 @@ <h3><a name="6">Demonstration 6</a></h3>
  Resampling method: Balanced, bootstrap cluster resampling 
  Number of resamples: 1999 
  Confidence interval (CI) type: Bias-corrected and accelerated (BCa) 
- Nominal coverage (and the percentiles used): 90% (12.9%, 98.7%)
+ Nominal coverage (and the percentiles used): 90% (13.7%, 98.8%)
 
 Bootstrap Statistics: 
  original     bias         std_error    CI_lower     CI_upper  
- +171.5       -9.466       +33.77       +122.7       +231.9</pre>
+ +171.5       -9.512       +33.09       +125.0       +231.3</pre>
 </div>
 
 <h3><a name="7">Demonstration 7</a></h3>
@@ -361,8 +366,8 @@ <h3><a name="7">Demonstration 7</a></h3>
 
 Bootstrap Statistics: 
  original     bias         std_error    CI_lower     CI_upper  
- +0.04669     +0.008816    +0.2270      -0.2937      +0.4346    
- -0.1589      +0.01375     +0.1653      -0.3877      +0.1029</pre>
+ +0.3243      +0.02218     +0.2915      -0.1682      +0.7906    
+ -0.1858      -0.01006     +0.2986      -0.6206      +0.3650</pre>
 </div>
 
 <h3><a name="8">Demonstration 8</a></h3>
@@ -389,8 +394,8 @@ <h3><a name="8">Demonstration 8</a></h3>
 
 Bootstrap Statistics: 
  original     bias         std_error    CI_lower     CI_upper  
- -0.09369     +0.03264     +0.2246      -0.3718      +0.3783    
- +0.4382      -0.03756     +0.2405      -0.01282     +0.7747</pre>
+ -0.5288      -0.01041     +0.09605     -0.6767      -0.3641    
+ +0.8124      +0.04063     +0.3114      +0.2805      +1.305</pre>
 </div>
 
 <h3><a name="9">Demonstration 9</a></h3>
@@ -417,11 +422,11 @@ <h3><a name="9">Demonstration 9</a></h3>
  Resampling method: Balanced, bootstrap cluster resampling 
  Number of resamples: 1999 
  Confidence interval (CI) type: Bias-corrected and accelerated (BCa) 
- Nominal coverage (and the percentiles used): 95% (1.6%, 96.5%)
+ Nominal coverage (and the percentiles used): 95% (1.8%, 96.8%)
 
 Bootstrap Statistics: 
  original     bias         std_error    CI_lower     CI_upper  
- +0.7764      -0.02375     +0.1439      +0.3882      +0.9904</pre>
+ +0.7764      -0.02391     +0.1409      +0.4128      +0.9919</pre>
 </div>
 
 <h3><a name="10">Demonstration 10</a></h3>
diff --git a/docs/function/bootknife.html b/docs/function/bootknife.html
index 6c0eaab6..77570021 100644
--- a/docs/function/bootknife.html
+++ b/docs/function/bootknife.html
@@ -223,11 +223,11 @@ <h3><a name="1">Demonstration 1</a></h3>
  Number of resamples (outer): 1999 
  Number of resamples (inner): 0 
  Confidence interval (CI) type: Expanded bias-corrected and accelerated (BCa) 
- Nominal coverage (and the percentiles used): 95% (1.4%, 97.3%)
+ Nominal coverage (and the percentiles used): 95% (1.3%, 97.2%)
 
 Bootstrap Statistics: 
  original     bias         std_error    CI_lower     CI_upper  
- +29.65       +5.684e-14   +2.590       +23.58       +34.56</pre>
+ +29.65       -2.842e-14   +2.695       +23.35       +34.56</pre>
 </div>
 
 <h3><a name="2">Demonstration 2</a></h3>
@@ -253,11 +253,11 @@ <h3><a name="2">Demonstration 2</a></h3>
  Number of resamples (outer): 1999 
  Number of resamples (inner): 199 
  Confidence interval (CI) type: Calibrated percentile
- Nominal coverage (and the percentiles used): 95% (1.1%, 97.4%)
+ Nominal coverage (and the percentiles used): 95% (0.9%, 98.1%)
 
 Bootstrap Statistics: 
  original     bias         std_error    CI_lower     CI_upper  
- +29.65       +7.461e-14   +2.787       +23.35       +34.96</pre>
+ +29.65       -1.208e-13   +2.797       +22.95       +35.05</pre>
 </div>
 
 <h3><a name="3">Demonstration 3</a></h3>
@@ -284,11 +284,11 @@ <h3><a name="3">Demonstration 3</a></h3>
  Number of resamples (outer): 1999 
  Number of resamples (inner): 199 
  Confidence interval (CI) type: Calibrated percentile
- Nominal coverage (and the percentiles used): 95% (1.8%, 97.7%)
+ Nominal coverage (and the percentiles used): 95% (3.0%, 97.7%)
 
 Bootstrap Statistics: 
  original     bias         std_error    CI_lower     CI_upper  
- +30.86       -0.04099     +3.068       +24.49       +36.88</pre>
+ +30.86       -0.006010    +2.849       +25.06       +36.65</pre>
 </div>
 
 <h3><a name="4">Demonstration 4</a></h3>
@@ -317,7 +317,7 @@ <h3><a name="4">Demonstration 4</a></h3>
 
 Bootstrap Statistics: 
  original     bias         std_error    CI_lower     CI_upper  
- +171.5       -6.713       +42.61       +95.98       +235.5</pre>
+ +171.5       -6.829       +43.16       +95.97       +237.3</pre>
 </div>
 
 <h3><a name="5">Demonstration 5</a></h3>
@@ -341,11 +341,11 @@ <h3><a name="5">Demonstration 5</a></h3>
  Number of resamples (outer): 1999 
  Number of resamples (inner): 0 
  Confidence interval (CI) type: Bias-corrected and accelerated (BCa) 
- Nominal coverage (and the percentiles used): 90% (12.8%, 98.8%)
+ Nominal coverage (and the percentiles used): 90% (13.1%, 98.9%)
 
 Bootstrap Statistics: 
  original     bias         std_error    CI_lower     CI_upper  
- +171.5       -6.976       +44.15       +113.9       +268.0</pre>
+ +171.5       -7.292       +43.98       +114.3       +272.9</pre>
 </div>
 
 <h3><a name="6">Demonstration 6</a></h3>
@@ -372,11 +372,11 @@ <h3><a name="6">Demonstration 6</a></h3>
  Number of resamples (outer): 1999 
  Number of resamples (inner): 199 
  Confidence interval (CI) type: Calibrated percentile (equal-tailed)
- Nominal coverage (and the percentiles used): 90% (2.8%, 97.2%)
+ Nominal coverage (and the percentiles used): 90% (2.3%, 97.7%)
 
 Bootstrap Statistics: 
  original     bias         std_error    CI_lower     CI_upper  
- +171.5       -7.026       +42.78       +87.77       +246.0</pre>
+ +171.5       -6.601       +45.18       +87.67       +255.0</pre>
 </div>
 
 <h3><a name="7">Demonstration 7</a></h3>
@@ -402,11 +402,11 @@ <h3><a name="7">Demonstration 7</a></h3>
  Number of resamples (outer): 1999 
  Number of resamples (inner): 199 
  Confidence interval (CI) type: Calibrated percentile
- Nominal coverage (and the percentiles used): 90% (10.7%, 99.5%)
+ Nominal coverage (and the percentiles used): 90% (12.9%, 99.5%)
 
 Bootstrap Statistics: 
  original     bias         std_error    CI_lower     CI_upper  
- +171.5       -6.198       +45.22       +112.0       +285.3</pre>
+ +171.5       -7.575       +44.09       +115.1       +283.2</pre>
 </div>
 
 <h3><a name="8">Demonstration 8</a></h3>
@@ -433,8 +433,8 @@ <h3><a name="8">Demonstration 8</a></h3>
 
 Bootstrap Statistics: 
  original     bias         std_error    CI_lower     CI_upper  
- +0.06101     +0.01230     +0.1975      -0.2928      +0.3601    
- -0.3934      -0.001900    +0.2998      -0.8660      +0.1126</pre>
+ -0.01408     -0.001143    +0.2806      -0.4704      +0.4583    
+ +0.1896      -0.01257     +0.2509      -0.2097      +0.6071</pre>
 </div>
 
 <h3><a name="9">Demonstration 9</a></h3>
@@ -461,11 +461,11 @@ <h3><a name="9">Demonstration 9</a></h3>
  Number of resamples (outer): 1999 
  Number of resamples (inner): 0 
  Confidence interval (CI) type: Bias-corrected and accelerated (BCa) 
- Nominal coverage (and the percentiles used): 95% (0.4%, 92.9%)
+ Nominal coverage (and the percentiles used): 95% (0.6%, 93.8%)
 
 Bootstrap Statistics: 
  original     bias         std_error    CI_lower     CI_upper  
- +0.7764      -0.005879    +0.1402      +0.2748      +0.9456</pre>
+ +0.7764      -0.005985    +0.1371      +0.3509      +0.9502</pre>
 </div>
 
 <h3><a name="10">Demonstration 10</a></h3>
@@ -577,13 +577,13 @@ <h3><a name="10">Demonstration 10</a></h3>
 
 Bootstrap Statistics: 
  original     bias         std_error    CI_lower     CI_upper  
- -16.69       -0.5454      +2.116       -20.63       -12.44     
- -11.72       -0.3862      +1.862       -15.18       -8.273     
- -8.061       -0.2828      +1.747       -11.48       -4.912     
- +0.1048      +0.006150    +0.09227     -0.07026     +0.2915    
- +0.01034     +0.0006859   +0.006803    -0.002580    +0.02373   
- +0.06452     +0.002493    +0.01679     +0.03148     +0.09715   
- +0.001664    +6.453e-06   +0.0007679   +0.0001551   +0.003181</pre>
+ -16.69       -0.5168      +2.137       -20.46       -12.24     
+ -11.72       -0.3592      +1.862       -15.08       -7.883     
+ -8.061       -0.2570      +1.768       -11.39       -4.467     
+ +0.1048      +0.005554    +0.09117     -0.07452     +0.2804    
+ +0.01034     +0.0007293   +0.006650    -0.002291    +0.02328   
+ +0.06452     +0.002379    +0.01689     +0.03089     +0.09543   
+ +0.001664    +1.194e-06   +0.0007440   +0.0002257   +0.003140</pre>
 </div>
 
 <h3><a name="11">Demonstration 11</a></h3>
diff --git a/docs/function/bootlm.html b/docs/function/bootlm.html
index 1ba936ee..4c6dd271 100644
--- a/docs/function/bootlm.html
+++ b/docs/function/bootlm.html
@@ -554,7 +554,7 @@ <h3><a name="1">Demonstration 1</a></h3>
 
 name                                   mean        CI_lower    CI_upper    p-adj
 --------------------------------------------------------------------------------
-female - male                          +10.80      -8.605      +30.21       .237
+female - male                          +10.80      -8.701      +30.30       .244
 
 
 MODEL FORMULA (based on Wilkinson's notation):
@@ -565,9 +565,9 @@ <h3><a name="1">Demonstration 1</a></h3>
 
 name                                   mean        CI_lower    CI_upper    p-adj
 --------------------------------------------------------------------------------
-female - male                          +0.7494     -0.3713     +1.958           
+female - male                          +0.7437     -0.4063     +1.945           
 
-Cohen's d [95% CI] = 0.75 [-0.37, 1.96] (N = 11)
+Cohen's d [95% CI] = 0.74 [-0.41, 1.95] (N = 11)
 
 
 MODEL FORMULA (based on Wilkinson's notation):
@@ -578,8 +578,8 @@ <h3><a name="1">Demonstration 1</a></h3>
 
 name                                   mean        CI_lower    CI_upper        N
 --------------------------------------------------------------------------------
-male                                   +44.20      +32.66      +53.30          5
-female                                 +55.00      +42.33      +67.73          6</pre>
+male                                   +44.20      +32.51      +53.09          5
+female                                 +55.00      +42.72      +68.27          6</pre>
 <p>and the following figure</p>
 <p><table class="images">
 <tr>
@@ -642,7 +642,7 @@ <h3><a name="2">Demonstration 2</a></h3>
 
 name                                   mean        CI_lower    CI_upper    p-adj
 --------------------------------------------------------------------------------
-after - before                         +1.460      +0.6651     +2.255       .003
+after - before                         +1.460      +0.6502     +2.270       .002
 
 
 MODEL FORMULA (based on Wilkinson's notation):
@@ -653,9 +653,9 @@ <h3><a name="2">Demonstration 2</a></h3>
 
 name                                   mean        CI_lower    CI_upper    p-adj
 --------------------------------------------------------------------------------
-after - before                         +2.364      +1.161      +3.542           
+after - before                         +2.372      +1.151      +3.531           
 
-Cohen's d [95% CI] = 2.36 [1.16, 3.54] (N = 10)
+Cohen's d [95% CI] = 2.37 [1.15, 3.53] (N = 10)
 
 
 MODEL FORMULA (based on Wilkinson's notation):
@@ -666,8 +666,8 @@ <h3><a name="2">Demonstration 2</a></h3>
 
 name                                   mean        CI_lower    CI_upper        N
 --------------------------------------------------------------------------------
-before                                 +4.560      +4.124      +5.009          5
-after                                  +6.020      +5.580      +6.478          5</pre>
+before                                 +4.560      +4.105      +5.006          5
+after                                  +6.020      +5.561      +6.454          5</pre>
 <p>and the following figure</p>
 <p><table class="images">
 <tr>
@@ -722,9 +722,9 @@ <h3><a name="3">Demonstration 3</a></h3>
 
 name                                   mean        CI_lower    CI_upper    p-adj
 --------------------------------------------------------------------------------
-st - al1                               +7.000      +3.851      +10.08      <.001
-st - al2                               +5.000      +2.563      +7.456      <.001
-al1 - al2                              -2.000      -4.918      +0.8745      .172
+st - al1                               +7.000      +3.955      +10.16      <.001
+st - al2                               +5.000      +2.612      +7.447      <.001
+al1 - al2                              -2.000      -4.918      +0.8659      .161
 
 
 MODEL FORMULA (based on Wilkinson's notation):
@@ -735,9 +735,9 @@ <h3><a name="3">Demonstration 3</a></h3>
 
 name                                   mean        CI_lower    CI_upper        N
 --------------------------------------------------------------------------------
-st                                     +84.00      +82.11      +85.67          8
-al1                                    +77.00      +74.93      +79.40          6
-al2                                    +79.00      +77.71      +80.44          6</pre>
+st                                     +84.00      +82.14      +85.73          8
+al1                                    +77.00      +74.90      +79.38          6
+al2                                    +79.00      +77.73      +80.52          6</pre>
 <p>and the following figure</p>
 <p><table class="images">
 <tr>
@@ -790,7 +790,7 @@ <h3><a name="4">Demonstration 4</a></h3>
                             'dim', 2, 'method', 'bayesian', 'prior', 'auto');</pre>
 <p>Produces the following output</p>
 <pre class="example">ONE-WAY REPEATED MEASURES ANOVA SUMMARY
-F(2,18) = 42.51, p = 0.0001 for the model: words ~ 1 + subject + seconds
+F(2,18) = 42.51, p = 0.000104 for the model: words ~ 1 + subject + seconds
 
 MODEL FORMULA (based on Wilkinson's notation):
 
@@ -800,9 +800,9 @@ <h3><a name="4">Demonstration 4</a></h3>
 
 name                                   mean        CI_lower    CI_upper    p-adj
 --------------------------------------------------------------------------------
-1 - 2                                  -2.000      -2.735      -1.288      <.001
-1 - 5                                  -3.200      -3.859      -2.552      <.001
-2 - 5                                  -1.200      -2.084      -0.3268      .012
+1 - 2                                  -2.000      -2.714      -1.260      <.001
+1 - 5                                  -3.200      -3.856      -2.554      <.001
+2 - 5                                  -1.200      -2.082      -0.3128      .013
 
 
 MODEL FORMULA (based on Wilkinson's notation):
@@ -813,9 +813,9 @@ <h3><a name="4">Demonstration 4</a></h3>
 
 name                                   mean        CI_lower    CI_upper        N
 --------------------------------------------------------------------------------
-1                                      +11.00      +10.64      +11.36         10
-2                                      +13.00      +12.53      +13.50         10
-5                                      +14.20      +13.73      +14.63         10</pre>
+1                                      +11.00      +10.63      +11.35         10
+2                                      +13.00      +12.52      +13.48         10
+5                                      +14.20      +13.76      +14.66         10</pre>
 <p>and the following figure</p>
 <p><table class="images">
 <tr>
@@ -887,12 +887,12 @@ <h3><a name="5">Demonstration 5</a></h3>
 
 name                                   coeff       CI_lower    CI_upper    p-val
 --------------------------------------------------------------------------------
-(Intercept)                            +5.667      +4.789      +6.544      <.001
-brands_1                               -1.333      -1.900      -0.7669      .010
-brands_2                               -2.167      -3.127      -1.206      <.001
-popper_1                               +1.167      +0.5991     +1.734       .019
-brands:popper_1                        -0.3333     -1.076      +0.4089      .334
-brands:popper_2                        -0.1667     -1.248      +0.9143      .724
+(Intercept)                            +5.667      +4.804      +6.530      <.001
+brands_1                               -1.333      -1.901      -0.7657      .013
+brands_2                               -2.167      -3.123      -1.210      <.001
+popper_1                               +1.167      +0.5945     +1.739       .018
+brands:popper_1                        -0.3333     -1.083      +0.4164      .338
+brands:popper_2                        -0.1667     -1.271      +0.9381      .728
 
 
 MODEL FORMULA (based on Wilkinson's notation):
@@ -903,9 +903,9 @@ <h3><a name="5">Demonstration 5</a></h3>
 
 name                                   mean        CI_lower    CI_upper    p-adj
 --------------------------------------------------------------------------------
-Gourmet - National                     +1.500      +1.135      +1.865      <.001
+Gourmet - National                     +1.500      +1.125      +1.875      <.001
 Gourmet - Generic                      +2.250      +1.706      +2.794      <.001
-National - Generic                     +0.7500     +0.2079     +1.292       .009
+National - Generic                     +0.7500     +0.2086     +1.291       .009
 
 
 MODEL FORMULA (based on Wilkinson's notation):
@@ -916,9 +916,9 @@ <h3><a name="5">Demonstration 5</a></h3>
 
 name                                   mean        CI_lower    CI_upper        N
 --------------------------------------------------------------------------------
-Gourmet                                +6.250      +6.057      +6.433          6
-National                               +4.750      +4.562      +4.942          6
-Generic                                +4.000      +3.693      +4.332          6
+Gourmet                                +6.250      +6.064      +6.441          6
+National                               +4.750      +4.556      +4.937          6
+Generic                                +4.000      +3.670      +4.314          6
 
 
 MODEL FORMULA (based on Wilkinson's notation):
@@ -929,7 +929,7 @@ <h3><a name="5">Demonstration 5</a></h3>
 
 name                                   mean        CI_lower    CI_upper    p-adj
 --------------------------------------------------------------------------------
-oil - air                              -1.000      -1.384      -0.6164     <.001
+oil - air                              -1.000      -1.388      -0.6119     <.001
 
 
 MODEL FORMULA (based on Wilkinson's notation):
@@ -940,8 +940,8 @@ <h3><a name="5">Demonstration 5</a></h3>
 
 name                                   mean        CI_lower    CI_upper        N
 --------------------------------------------------------------------------------
-oil                                    +4.500      +4.314      +4.685          9
-air                                    +5.500      +5.314      +5.686          9</pre>
+oil                                    +4.500      +4.306      +4.675          9
+air                                    +5.500      +5.314      +5.688          9</pre>
 <p>and the following figure</p>
 <p><table class="images">
 <tr>
@@ -1217,21 +1217,21 @@ <h3><a name="7">Demonstration 7</a></h3>
 degree_1                               -8.000      -9.803      -6.046           
 gender:degree_1                        +1.000      -1.649      +3.549           
 
-ans =
-{
-  [1,1] =
-  {
-    [1,1] = f
-    [2,1] = m
-  }
+                                    ans =
+                                    {
+                                      [1,1] =
+                                      {
+                                        [1,1] = f
+                                        [2,1] = m
+                                      }
 
-  [2,1] =
-  {
-    [1,1] = 1
-    [2,1] = 0
-  }
+                                      [2,1] =
+                                      {
+                                        [1,1] = 1
+                                        [2,1] = 0
+                                      }
 
-}
+                                    }
 
 
 MODEL FORMULA (based on Wilkinson's notation):
@@ -1973,40 +1973,40 @@ <h3><a name="15">Demonstration 15</a></h3>
 <p>Produces the following output</p>
 <pre class="example">PRED_ERR =
 
-  scalar structure containing the fields:
+                                      scalar structure containing the fields:
 
-    MODEL =
-    {
-      [1,1] = sr ~ 1
-      [2,1] = sr ~ 1 + pop15
-      [3,1] = sr ~ 1 + pop15 + pop75
-      [4,1] = sr ~ 1 + pop15 + pop75 + dpi
-      [5,1] = sr ~ 1 + pop15 + pop75 + dpi + ddpi
-    }
+                                        MODEL =
+                                        {
+                                          [1,1] = sr ~ 1
+                                          [2,1] = sr ~ 1 + pop15
+                                          [3,1] = sr ~ 1 + pop15 + pop75
+                                          [4,1] = sr ~ 1 + pop15 + pop75 + dpi
+                                          [5,1] = sr ~ 1 + pop15 + pop75 + dpi + ddpi
+                                        }
 
-    PE =
+                                        PE =
 
-           20.477
-             16.8
-            16.34
-            16.22
-           15.191
+                                               20.477
+                                                 16.8
+                                                16.34
+                                                16.22
+                                               15.191
 
-    PRESS =
+                                        PRESS =
 
-           1023.8
-              840
-           817.01
-           811.02
-           759.53
+                                               1023.8
+                                                  840
+                                               817.01
+                                               811.02
+                                               759.53
 
-    RSQ_pred =
+                                        RSQ_pred =
 
-        -0.040869
-          0.14602
-          0.16939
-          0.17548
-          0.22783</pre>
+                                            -0.040869
+                                              0.14602
+                                              0.16939
+                                              0.17548
+                                              0.22783</pre>
 </div>
 
 <p>Package: <a href="../index.html">statistics-resampling</a></p>
diff --git a/docs/function/bootmode.html b/docs/function/bootmode.html
index 6cd25c81..b547c12a 100644
--- a/docs/function/bootmode.html
+++ b/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 = 0.001 so reject the null hypothesisthat there is 1 mode
 
-ans = H2 is 0 with p = 0.327 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>
diff --git a/docs/function/bootstrp.html b/docs/function/bootstrp.html
index 9a37955a..39821db2 100644
--- a/docs/function/bootstrp.html
+++ b/docs/function/bootstrp.html
@@ -105,58 +105,58 @@ <h3><a name="1">Demonstration 1</a></h3>
 <p>Produces the following output</p>
 <pre class="example">bootstat =
 
-       30.385
-       26.577
-       32.962
-       26.885
-       28.962
-       27.385
-       29.538
-       28.615
-       36.269
-       29.192
-       36.192
-       35.346
-       30.923
-       31.423
-       30.231
-       25.692
-       28.577
-       27.038
-       26.269
-       31.423
-       30.154
-       29.654
-       28.577
-       32.154
-       28.385
-       32.615
-       24.846
-       32.269
-       25.577
-       29.615
-       26.923
-       27.038
-       26.731
-       33.923
-       31.962
-       26.538
-       26.846
-       29.769
-           27
-       26.731
-       29.231
-       30.885
-       31.077
-           30
-       29.115
-       31.769
-       32.423
-       30.692
-       29.231
-       31.077
-
-ans = 2.7164</pre>
+                                           30.385
+                                           26.577
+                                           32.962
+                                           26.885
+                                           28.962
+                                           27.385
+                                           29.538
+                                           28.615
+                                           36.269
+                                           29.192
+                                           36.192
+                                           35.346
+                                           30.923
+                                           31.423
+                                           30.231
+                                           25.692
+                                           28.577
+                                           27.038
+                                           26.269
+                                           31.423
+                                           30.154
+                                           29.654
+                                           28.577
+                                           32.154
+                                           28.385
+                                           32.615
+                                           24.846
+                                           32.269
+                                           25.577
+                                           29.615
+                                           26.923
+                                           27.038
+                                           26.731
+                                           33.923
+                                           31.962
+                                           26.538
+                                           26.846
+                                           29.769
+                                               27
+                                           26.731
+                                           29.231
+                                           30.885
+                                           31.077
+                                               30
+                                           29.115
+                                           31.769
+                                           32.423
+                                           30.692
+                                           29.231
+                                           31.077
+
+                                    ans = 2.7164</pre>
 </div>
 
 <p>Package: <a href="../index.html">statistics-resampling</a></p>
diff --git a/docs/function/bootwild.html b/docs/function/bootwild.html
index 885e0fcb..b6eaef04 100644
--- a/docs/function/bootwild.html
+++ b/docs/function/bootwild.html
@@ -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       +169.7       +181.4       +70.1       <.001    .010
- +0.1904      +0.08261     +0.007620    +0.3732      +2.31        .043    .269</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>
diff --git a/docs/function/images/boot1way_701.png b/docs/function/images/boot1way_701.png
index e923177dabdad3feb6e4f50d6f20f60f81b164b1..0dd85d1f0248f18087a7d431836633dbe9128497 100644
GIT binary patch
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diff --git a/docs/function/randtest2.html b/docs/function/randtest2.html
index 831a0840..37e99da8 100644
--- a/docs/function/randtest2.html
+++ b/docs/function/randtest2.html
@@ -152,9 +152,9 @@ <h3><a name="1">Demonstration 1</a></h3>
                            @(x, y) log (var (y) ./ var (x)))
 </pre>
 <p>Produces the following output</p>
-<pre class="example">pval = 0.3586
-pval = 0.2778
-pval = 0.31965</pre>
+<pre class="example">pval = 0.3562
+                                    pval = 0.277
+                                    pval = 0.30584</pre>
 </div>
 
 <h3><a name="2">Demonstration 2</a></h3>
@@ -184,8 +184,8 @@ <h3><a name="2">Demonstration 2</a></h3>
 </pre>
 <p>Produces the following output</p>
 <pre class="example">pval = 0.12891
-pval = 0.037109
-pval = 0.51172</pre>
+                                    pval = 0.037109
+                                    pval = 0.51172</pre>
 </div>
 
 <h3><a name="3">Demonstration 3</a></h3>
@@ -207,8 +207,8 @@ <h3><a name="3">Demonstration 3</a></h3>
  pval = randtest2 ([X GX], [Y GY], false, 5000)
 </pre>
 <p>Produces the following output</p>
-<pre class="example">pval = 0.0010532
-pval =   0.2</pre>
+<pre class="example">pval = 0.0008
+                                    pval =   0.2</pre>
 </div>
 
 <h3><a name="4">Demonstration 4</a></h3>
@@ -230,8 +230,8 @@ <h3><a name="4">Demonstration 4</a></h3>
  pval = randtest2 ([X GX], [Y GY], true, 5000)
 </pre>
 <p>Produces the following output</p>
-<pre class="example">pval = 0.0014
-pval =  0.25</pre>
+<pre class="example">pval = 0.0012
+                                    pval =  0.25</pre>
 </div>
 
 <h3><a name="5">Demonstration 5</a></h3>
@@ -252,7 +252,7 @@ <h3><a name="5">Demonstration 5</a></h3>
  pval = randtest2([X, GX], [Y, GY], false)
 </pre>
 <p>Produces the following output</p>
-<pre class="example">pval = 0.0758</pre>
+<pre class="example">pval = 0.0702</pre>
 </div>
 
 <p>Package: <a href="../index.html">statistics-resampling</a></p>
diff --git a/docs/function/sampszcalc.html b/docs/function/sampszcalc.html
index c098293f..7e04f22b 100644
--- a/docs/function/sampszcalc.html
+++ b/docs/function/sampszcalc.html
@@ -206,9 +206,9 @@ <h3><a name="6">Demonstration 6</a></h3>
  N_corrected = sampszcalc ('t2', STATS_STD.estimate, 0.80, 0.05, 2, DEFF)</pre>
 <p>Produces the following output</p>
 <pre class="example">Cohen's d = 1.72
-N =     7
-DEFF = 3.5527
-N_corrected =    23</pre>
+                                    N =     7
+                                    DEFF = 3.5527
+                                    N_corrected =    23</pre>
 </div>
 
 <p>Package: <a href="../index.html">statistics-resampling</a></p>