From 23aee43e45742bc37f0a2844c23cba8a446334ce Mon Sep 17 00:00:00 2001 From: acp29 Date: Thu, 16 May 2024 16:19:06 +0100 Subject: [PATCH] update matlab toolbox and online manual --- README.html | 12 ++++++++++-- docs/function/boot1way.html | 4 ++-- docs/function/bootci.html | 4 ++-- docs/function/bootclust.html | 8 ++++---- docs/function/bootknife.html | 4 ++-- docs/function/bootmode.html | 4 ++-- docs/function/bootwild.html | 6 +++--- docs/function/cor.html | 2 +- docs/function/images/boot1way_701.png | Bin 24781 -> 24398 bytes docs/function/images/boot1way_801.png | Bin 24252 -> 24797 bytes docs/function/randtest.html | 4 ++-- docs/function/randtest2.html | 6 +++--- docs/function_reference.html | 2 +- docs/readme.html | 12 ++++++++++-- matlab/statistics-resampling.mltbx | Bin 346046 -> 346045 bytes matlab/statistics-resampling.prj | 2 +- 16 files changed, 43 insertions(+), 27 deletions(-) diff --git a/README.html b/README.html index 61af3af0..b03794a1 100644 --- a/README.html +++ b/README.html @@ -227,14 +227,22 @@

Quick start

href="https://gnu-octave.github.io/statistics-resampling/function/bootlm.html#4">One-way repeated measures ANOVA

  • Randomization +or permutation test to evaluate whether a sample comes from a population +with the specified mean

  • +
  • 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

  • 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

  • Randomization +or permutation test to evaluate the statistical significance of a +correlation coefficient

  • +
  • Statistically evaluate the number of modes (i.e. peaks) in a distribution

  • Demonstration 7 ----------------------------------------------------------------------------- | 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 @@

    Demonstration 8

    ----------------------------------------------------------------------------- | 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 | diff --git a/docs/function/bootci.html b/docs/function/bootci.html index 5236cd4b..9b778994 100644 --- a/docs/function/bootci.html +++ b/docs/function/bootci.html @@ -468,8 +468,8 @@

    Demonstration 10

    Produces the following output

    ci =
     
    -     -0.74781     -0.35862
    -        0.276      0.50962
    + -0.49903 -0.32048 + 0.1719 0.20754

    Demonstration 11

    diff --git a/docs/function/bootclust.html b/docs/function/bootclust.html index f94123ea..8126d931 100644 --- a/docs/function/bootclust.html +++ b/docs/function/bootclust.html @@ -376,8 +376,8 @@

    Demonstration 7

    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 + +0.05661 +0.008427 +0.1783 -0.2258 +0.3597 + -0.5011 -0.01251 +0.2094 -0.8576 -0.1695

    Demonstration 8

    @@ -406,8 +406,8 @@

    Demonstration 8

    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 + +0.03812 -0.01768 +0.1313 -0.2242 +0.2101 + +0.2485 -0.01351 +0.2831 -0.3207 +0.6026

    Demonstration 9

    diff --git a/docs/function/bootknife.html b/docs/function/bootknife.html index cd531e60..faee6037 100644 --- a/docs/function/bootknife.html +++ b/docs/function/bootknife.html @@ -442,8 +442,8 @@

    Demonstration 8

    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 + -0.3468 -0.01215 +0.2650 -0.8105 +0.05247 + +0.5558 -0.01072 +0.2145 +0.1827 +0.8684

    Demonstration 9

    diff --git a/docs/function/bootmode.html b/docs/function/bootmode.html index 46d15e73..a8b6e229 100644 --- a/docs/function/bootmode.html +++ b/docs/function/bootmode.html @@ -149,9 +149,9 @@

    Demonstration 1

    Produces the following output

    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
    +ans = H2 is 0 with p = 0.327 so accept the null hypothesis that there are 2 modes

    Package: statistics-resampling

    diff --git a/docs/function/bootwild.html b/docs/function/bootwild.html index 9ca55ec9..f560e9a8 100644 --- a/docs/function/bootwild.html +++ b/docs/function/bootwild.html @@ -180,7 +180,7 @@

    Demonstration 1

    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 + +184.5 +1.243 +181.6 +187.4 +148. <.001 .010

    Demonstration 2

    @@ -218,8 +218,8 @@

    Demonstration 2

    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 + +175.5 +2.502 +169.8 +181.2 +70.1 <.001 .010 + +0.1904 +0.08261 +0.003534 +0.3773 +2.31 .047 .280

    Package: statistics-resampling

    diff --git a/docs/function/cor.html b/docs/function/cor.html index 491214fd..055e9882 100644 --- a/docs/function/cor.html +++ b/docs/function/cor.html @@ -20,7 +20,7 @@

    cor

    -
     Vectorized function for computating Pearson's correlation coefficient (RHO)
    +
     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)
    diff --git a/docs/function/images/boot1way_701.png b/docs/function/images/boot1way_701.png
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    zJAgYDemonstration 2
     

    Produces the following output

    pval =
     
    -      0.53905
    -       0.0002
    +      0.53148
    +   0.00049014
     
     stat =
     
    diff --git a/docs/function/randtest2.html b/docs/function/randtest2.html
    index 97256f88..84dd7e15 100644
    --- a/docs/function/randtest2.html
    +++ b/docs/function/randtest2.html
    @@ -162,9 +162,9 @@ 

    Demonstration 1

    @(A, B) log (var (A) ./ var (B)))

    Produces the following output

    -
    pval = 0.3526
    -pval = 0.2718
    -pval = 0.31043
    +
    pval = 0.3668
    +pval = 0.2698
    +pval = 0.30905

    Demonstration 2

    diff --git a/docs/function_reference.html b/docs/function_reference.html index d2008811..ef399822 100644 --- a/docs/function_reference.html +++ b/docs/function_reference.html @@ -101,7 +101,7 @@

    Parameter functions

    Calculates a smoothed version of the median absolute deviation (MAD).
    -
    Vectorized function for computating Pearson's correlation coefficient (RHO) between each of the respective columns in two data vectors or matrices.
    +
    Vectorized function for computing Pearson's correlation coefficient (RHO) between each of the respective columns in two data vectors or matrices.

    Package: statistics-resampling

    diff --git a/docs/readme.html b/docs/readme.html index 669d8da5..2ed06632 100644 --- a/docs/readme.html +++ b/docs/readme.html @@ -248,14 +248,22 @@

    Quick start

    href="https://gnu-octave.github.io/statistics-resampling/function/bootlm.html#4">One-way repeated measures ANOVA

  • Randomization +or permutation test to evaluate whether a sample comes from a population +with the specified mean

  • +
  • 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

  • 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

  • Randomization +or permutation test to evaluate the statistical significance of a +correlation coefficient

  • +
  • Statistically evaluate the number of modes (i.e. peaks) in a distribution

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