From d1c2bc9e418459d8bce4bffe24b2a00b8ea7711b Mon Sep 17 00:00:00 2001 From: acp29 Date: Mon, 18 Mar 2024 11:19:42 +0000 Subject: [PATCH] update manual with new binder URL --- README.html | 12 ++--- docs/copying.html | 2 +- docs/description.json | 2 +- docs/function/boot.html | 2 +- docs/function/boot1way.html | 6 +-- docs/function/bootbayes.html | 8 +-- docs/function/bootcdf.html | 2 +- docs/function/bootci.html | 2 +- docs/function/bootclust.html | 34 ++++++------ docs/function/bootknife.html | 50 ++++++++--------- docs/function/bootlm.html | 74 +++++++++++++------------- docs/function/bootmode.html | 6 +-- docs/function/bootstrp.html | 2 +- docs/function/bootwild.html | 6 +-- docs/function/cor.html | 2 +- docs/function/credint.html | 2 +- docs/function/deffcalc.html | 2 +- docs/function/images/boot1way_701.png | Bin 24174 -> 24291 bytes docs/function/images/boot1way_801.png | Bin 25630 -> 24796 bytes docs/function/randtest2.html | 14 ++--- docs/function/sampszcalc.html | 2 +- docs/function/smoothmad.html | 2 +- docs/function/smoothmedian.html | 2 +- docs/function_reference.html | 2 +- docs/index.html | 2 +- docs/readme.html | 12 ++--- 26 files changed, 125 insertions(+), 125 deletions(-) diff --git a/README.html b/README.html index 4ca6fbfb..61af3af0 100644 --- a/README.html +++ b/README.html @@ -1,6 +1,6 @@

Read me

Binder Description

Using the statistics-resampling package online

Try out the statistics-resampling package in your browser at statistics-resampling-online +href="https://mybinder.org/v2/gh/acpennlab/statistics-resampling-online/jammy-docker?urlpath=/lab/tree/statistics-resampling.ipynb">statistics-resampling-online Binder: a ready-to-go implementation of statistics-resampling in a JupyterLab Notebook with an Octave kernel. Note that the first time (since the @@ -176,7 +176,7 @@

Usage

integrate use of the statistics-resampling package into your analysis workflow alongside other programming languages including Python, R and Julia Binder

Quick start

Below are links to demonstrations of how the bootstrap or @@ -245,9 +245,9 @@

Quick start

For examples of how to import data sets from a human-readable text file, like a tab-separated-value (TSV) and comma-separated-value (CSV) file, see the examples in the JupyterLab Notebook at statistics-resampling-online +href="https://mybinder.org/v2/gh/acpennlab/statistics-resampling-online/jammy-docker?urlpath=/lab/tree/statistics-resampling.ipynb">statistics-resampling-online Binder and the last demonstration listed on this diff --git a/docs/copying.html b/docs/copying.html index 3388682b..f6dcbeb9 100644 --- a/docs/copying.html +++ b/docs/copying.html @@ -3,7 +3,7 @@ - + diff --git a/docs/description.json b/docs/description.json index 47dc4307..e40b6eb0 100644 --- a/docs/description.json +++ b/docs/description.json @@ -1,7 +1,7 @@ { "generator": "generate_html", "generator_version": "0.3.3", - "date_generated": "2024-03-14", + "date_generated": "2024-03-18", "package": { "name": "statistics-resampling", diff --git a/docs/function/boot.html b/docs/function/boot.html index 9392db54..9e6ef84d 100644 --- a/docs/function/boot.html +++ b/docs/function/boot.html @@ -3,7 +3,7 @@ - + diff --git a/docs/function/boot1way.html b/docs/function/boot1way.html index 27abf5a2..ba8eddf9 100644 --- a/docs/function/boot1way.html +++ b/docs/function/boot1way.html @@ -3,7 +3,7 @@ - + @@ -529,7 +529,7 @@

Demonstration 7

----------------------------------------------------------------------------- | Comparison | Test # | Ref # | Difference | t | p | |------------|------------|------------|------------|------------|----------| -| 1 | 2 | 1 | +0.1629 | +0.43 | .659 | +| 1 | 2 | 1 | +0.01458 | +0.03 | .979 | ----------------------------------------------------------------------------- | GROUP # | GROUP label | N | @@ -574,7 +574,7 @@

Demonstration 8

----------------------------------------------------------------------------- | Comparison | Test # | Ref # | Difference | t | p | |------------|------------|------------|------------|------------|----------| -| 1 | 2 | 1 | -0.4051 | -1.14 | .112 | +| 1 | 2 | 1 | +0.6746 | +0.91 | .281 | ----------------------------------------------------------------------------- | GROUP # | GROUP label | N | diff --git a/docs/function/bootbayes.html b/docs/function/bootbayes.html index cfe271d3..4279bd7a 100644 --- a/docs/function/bootbayes.html +++ b/docs/function/bootbayes.html @@ -3,7 +3,7 @@ - + @@ -191,7 +191,7 @@

Demonstration 1

Posterior Statistics: original bias median stdev CI_lower CI_upper - +184.5 +0.003872 +184.5 1.316 +181.9 +187.1 + +184.5 -0.01935 +184.5 1.298 +182.0 +187.0

Demonstration 2

@@ -228,8 +228,8 @@

Demonstration 2

Posterior Statistics: original bias median stdev CI_lower CI_upper - +175.5 -0.03218 +175.5 2.350 +171.0 +180.4 - +0.1904 +0.0003862 +0.1912 0.07899 +0.03550 +0.3442 + +175.5 -0.08558 +175.4 2.436 +170.7 +180.2 + +0.1904 +0.002373 +0.1944 0.07996 +0.04856 +0.3567

Package: statistics-resampling

diff --git a/docs/function/bootcdf.html b/docs/function/bootcdf.html index 1541021a..1b2a463c 100644 --- a/docs/function/bootcdf.html +++ b/docs/function/bootcdf.html @@ -3,7 +3,7 @@ - + diff --git a/docs/function/bootci.html b/docs/function/bootci.html index cc99b7d5..2f1301d0 100644 --- a/docs/function/bootci.html +++ b/docs/function/bootci.html @@ -3,7 +3,7 @@ - + diff --git a/docs/function/bootclust.html b/docs/function/bootclust.html index c7c522db..34733961 100644 --- a/docs/function/bootclust.html +++ b/docs/function/bootclust.html @@ -3,7 +3,7 @@ - + @@ -170,11 +170,11 @@

Demonstration 1

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% (1.5%, 97.9%) + Nominal coverage (and the percentiles used): 95% (1.1%, 97.4%) Bootstrap Statistics: original bias std_error CI_lower CI_upper - +29.65 -4.263e-14 +2.492 +23.99 +34.72 + +29.65 -2.487e-14 +2.575 +23.74 +34.49

Demonstration 2

@@ -200,11 +200,11 @@

Demonstration 2

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% (1.0%, 98.6%) Bootstrap Statistics: original bias std_error CI_lower CI_upper - +29.65 -0.03442 +2.941 +22.82 +36.08 + +29.65 -0.03155 +3.008 +22.52 +35.83

Demonstration 3

@@ -232,7 +232,7 @@

Demonstration 3

Bootstrap Statistics: original bias std_error CI_lower CI_upper - +171.5 -6.537 +41.56 +98.04 +235.7 + +171.5 -6.475 +42.19 +96.98 +235.0

Demonstration 4

@@ -262,7 +262,7 @@

Demonstration 4

Bootstrap Statistics: original bias std_error CI_lower CI_upper - +171.5 -9.467 +33.98 +103.7 +215.4 + +171.5 -9.480 +33.35 +105.2 +213.9

Demonstration 5

@@ -285,11 +285,11 @@

Demonstration 5

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% (11.0%, 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 -6.527 +41.78 +113.1 +255.6 + +171.5 -6.473 +42.75 +116.4 +262.5

Demonstration 6

@@ -314,11 +314,11 @@

Demonstration 6

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% (13.1%, 98.7%) + Nominal coverage (and the percentiles used): 90% (12.8%, 98.7%) Bootstrap Statistics: original bias std_error CI_lower CI_upper - +171.5 -9.277 +33.69 +122.7 +232.8 + +171.5 -9.367 +33.27 +122.9 +230.2

Demonstration 7

@@ -344,8 +344,8 @@

Demonstration 7

Bootstrap Statistics: original bias std_error CI_lower CI_upper - -0.3582 -0.001936 +0.2449 -0.7538 +0.04609 - -0.05622 +0.007057 +0.2883 -0.6004 +0.3575 + -0.004100 +0.0005636 +0.2091 -0.3562 +0.3338 + +0.2984 -0.02497 +0.3726 -0.1958 +1.053

Demonstration 8

@@ -372,8 +372,8 @@

Demonstration 8

Bootstrap Statistics: original bias std_error CI_lower CI_upper - -0.3245 -0.01855 +0.3339 -0.6843 -0.03197 - +0.08362 +0.01520 +0.2642 -0.2958 +0.3065 + -0.003460 +0.0007734 +0.1941 -0.4001 +0.2587 + -0.03895 +0.09480 +0.3275 -0.4516 +0.3005

Demonstration 9

@@ -400,11 +400,11 @@

Demonstration 9

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% (1.5%, 96.3%) + Nominal coverage (and the percentiles used): 95% (2.1%, 97.1%) Bootstrap Statistics: original bias std_error CI_lower CI_upper - +0.7764 -0.02370 +0.1456 +0.3738 +0.9894 + +0.7764 -0.02555 +0.1481 +0.4023 +1.006

Package: statistics-resampling

diff --git a/docs/function/bootknife.html b/docs/function/bootknife.html index 531e9eda..14ce952b 100644 --- a/docs/function/bootknife.html +++ b/docs/function/bootknife.html @@ -3,7 +3,7 @@ - + @@ -223,11 +223,11 @@

Demonstration 1

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% (1.8%, 97.8%) + Nominal coverage (and the percentiles used): 95% (1.4%, 97.3%) Bootstrap Statistics: original bias std_error CI_lower CI_upper - +29.65 +2.132e-14 +2.542 +24.36 +34.74 + +29.65 +3.553e-15 +2.691 +23.49 +34.55

Demonstration 2

@@ -253,11 +253,11 @@

Demonstration 2

Number of resamples (outer): 1999 Number of resamples (inner): 199 Confidence interval (CI) type: Calibrated percentile - Nominal coverage (and the percentiles used): 95% (1.2%, 97.2%) + Nominal coverage (and the percentiles used): 95% (1.1%, 97.8%) Bootstrap Statistics: original bias std_error CI_lower CI_upper - +29.65 +7.816e-14 +2.537 +23.55 +34.39 + +29.65 +5.684e-14 +2.675 +23.16 +34.63

Demonstration 3

@@ -284,11 +284,11 @@

Demonstration 3

Number of resamples (outer): 1999 Number of resamples (inner): 199 Confidence interval (CI) type: Calibrated percentile - Nominal coverage (and the percentiles used): 95% (2.5%, 97.7%) + Nominal coverage (and the percentiles used): 95% (1.8%, 97.9%) Bootstrap Statistics: original bias std_error CI_lower CI_upper - +30.86 +0.01215 +2.873 +24.95 +36.74 + +30.86 -0.04524 +3.019 +24.27 +37.12

Demonstration 4

@@ -317,7 +317,7 @@

Demonstration 4

Bootstrap Statistics: original bias std_error CI_lower CI_upper - +171.5 -6.265 +42.30 +97.20 +237.0 + +171.5 -6.887 +42.21 +97.38 +237.1

Demonstration 5

@@ -341,11 +341,11 @@

Demonstration 5

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% (12.4%, 98.8%) + Nominal coverage (and the percentiles used): 90% (11.8%, 98.6%) Bootstrap Statistics: original bias std_error CI_lower CI_upper - +171.5 -6.661 +42.65 +115.6 +262.1 + +171.5 -7.100 +43.26 +112.8 +262.2

Demonstration 6

@@ -372,11 +372,11 @@

Demonstration 6

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% (2.2%, 97.8%) + Nominal coverage (and the percentiles used): 90% (2.5%, 97.5%) Bootstrap Statistics: original bias std_error CI_lower CI_upper - +171.5 -6.983 +46.11 +83.34 +254.8 + +171.5 -6.733 +43.61 +87.75 +249.3

Demonstration 7

@@ -402,11 +402,11 @@

Demonstration 7

Number of resamples (outer): 1999 Number of resamples (inner): 199 Confidence interval (CI) type: Calibrated percentile - Nominal coverage (and the percentiles used): 90% (13.1%, 99.5%) + Nominal coverage (and the percentiles used): 90% (11.9%, 99.5%) Bootstrap Statistics: original bias std_error CI_lower CI_upper - +171.5 -7.916 +43.94 +116.0 +278.2 + +171.5 -7.044 +43.86 +114.9 +273.6

Demonstration 8

@@ -433,8 +433,8 @@

Demonstration 8

Bootstrap Statistics: original bias std_error CI_lower CI_upper - -0.3273 -0.009137 +0.1891 -0.6224 -0.003427 - -0.3062 +0.01554 +0.2233 -0.7413 +0.005980 + +0.1433 +0.003953 +0.1781 -0.1421 +0.4456 + -0.3363 +0.03789 +0.3894 -0.9193 +0.3409

Demonstration 9

@@ -461,11 +461,11 @@

Demonstration 9

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% (0.6%, 93.8%) + Nominal coverage (and the percentiles used): 95% (0.5%, 93.6%) Bootstrap Statistics: original bias std_error CI_lower CI_upper - +0.7764 -0.007168 +0.1395 +0.3296 +0.9509 + +0.7764 -0.006640 +0.1360 +0.3141 +0.9457

Demonstration 10

@@ -577,13 +577,13 @@

Demonstration 10

Bootstrap Statistics: original bias std_error CI_lower CI_upper - -16.69 -0.5345 +2.161 -20.59 -12.40 - -11.72 -0.3746 +1.899 -15.14 -7.907 - -8.061 -0.2708 +1.801 -11.45 -4.587 - +0.1048 +0.005417 +0.09317 -0.07789 +0.2815 - +0.01034 +0.0006644 +0.006654 -0.002428 +0.02320 - +0.06452 +0.002462 +0.01718 +0.03463 +0.1002 - +0.001664 +8.810e-06 +0.0007670 +0.0001160 +0.003152 + -16.69 -0.5389 +2.137 -20.26 -12.60 + -11.72 -0.3805 +1.872 -15.00 -7.969 + -8.061 -0.2781 +1.773 -11.33 -4.502 + +0.1048 +0.006203 +0.09079 -0.07013 +0.2733 + +0.01034 +0.0007144 +0.006703 -0.002981 +0.02316 + +0.06452 +0.002527 +0.01678 +0.03219 +0.09567 + +0.001664 +1.056e-06 +0.0007337 +0.0002000 +0.003142

Demonstration 11

diff --git a/docs/function/bootlm.html b/docs/function/bootlm.html index eda84440..702452a2 100644 --- a/docs/function/bootlm.html +++ b/docs/function/bootlm.html @@ -3,7 +3,7 @@ - + @@ -554,7 +554,7 @@

Demonstration 1

name mean CI_lower CI_upper p-adj -------------------------------------------------------------------------------- -female - male +10.80 -8.706 +30.31 .249 +female - male +10.80 -8.570 +30.17 .246 MODEL FORMULA (based on Wilkinson's notation): @@ -565,9 +565,9 @@

Demonstration 1

name mean CI_lower CI_upper p-adj -------------------------------------------------------------------------------- -female - male +0.7382 -0.4009 +1.935 +female - male +0.7485 -0.4441 +1.914 -Cohen's d [95% CI] = 0.74 [-0.40, 1.94] (N = 11) +Cohen's d [95% CI] = 0.75 [-0.44, 1.91] (N = 11) MODEL FORMULA (based on Wilkinson's notation): @@ -578,8 +578,8 @@

Demonstration 1

name mean CI_lower CI_upper N -------------------------------------------------------------------------------- -male +44.20 +32.87 +53.60 5 -female +55.00 +42.04 +67.49 6 +male +44.20 +32.34 +53.15 5 +female +55.00 +42.03 +67.71 6

and the following figure

@@ -642,7 +642,7 @@

Demonstration 2

name mean CI_lower CI_upper p-adj -------------------------------------------------------------------------------- -after - before +1.460 +0.6581 +2.262 .002 +after - before +1.460 +0.6519 +2.268 .003 MODEL FORMULA (based on Wilkinson's notation): @@ -653,9 +653,9 @@

Demonstration 2

name mean CI_lower CI_upper p-adj -------------------------------------------------------------------------------- -after - before +2.372 +1.191 +3.585 +after - before +2.374 +1.144 +3.538 -Cohen's d [95% CI] = 2.37 [1.19, 3.58] (N = 10) +Cohen's d [95% CI] = 2.37 [1.14, 3.54] (N = 10) MODEL FORMULA (based on Wilkinson's notation): @@ -666,8 +666,8 @@

Demonstration 2

name mean CI_lower CI_upper N -------------------------------------------------------------------------------- -before +4.560 +4.102 +4.986 5 -after +6.020 +5.571 +6.448 5 +before +4.560 +4.090 +4.979 5 +after +6.020 +5.578 +6.468 5

and the following figure

@@ -722,9 +722,9 @@

Demonstration 3

name mean CI_lower CI_upper p-adj -------------------------------------------------------------------------------- -st - al1 +7.000 +3.814 +10.10 <.001 -st - al2 +5.000 +2.556 +7.456 <.001 -al1 - al2 -2.000 -4.833 +0.9209 .165 +st - al1 +7.000 +3.881 +10.11 <.001 +st - al2 +5.000 +2.604 +7.441 <.001 +al1 - al2 -2.000 -4.905 +0.9331 .174 MODEL FORMULA (based on Wilkinson's notation): @@ -735,9 +735,9 @@

Demonstration 3

name mean CI_lower CI_upper N -------------------------------------------------------------------------------- -st +84.00 +82.16 +85.71 8 -al1 +77.00 +74.92 +79.32 6 -al2 +79.00 +77.77 +80.50 6 +st +84.00 +82.14 +85.69 8 +al1 +77.00 +75.06 +79.47 6 +al2 +79.00 +77.70 +80.47 6

and the following figure

@@ -800,9 +800,9 @@

Demonstration 4

name mean CI_lower CI_upper p-adj -------------------------------------------------------------------------------- -1 - 2 -2.000 -2.733 -1.285 <.001 -1 - 5 -3.200 -3.837 -2.552 <.001 -2 - 5 -1.200 -2.069 -0.3335 .012 +1 - 2 -2.000 -2.699 -1.270 <.001 +1 - 5 -3.200 -3.837 -2.539 <.001 +2 - 5 -1.200 -2.082 -0.2998 .012 MODEL FORMULA (based on Wilkinson's notation): @@ -813,8 +813,8 @@

Demonstration 4

name mean CI_lower CI_upper N -------------------------------------------------------------------------------- -1 +11.00 +10.65 +11.35 10 -2 +13.00 +12.53 +13.48 10 +1 +11.00 +10.63 +11.34 10 +2 +13.00 +12.52 +13.48 10 5 +14.20 +13.75 +14.64 10

and the following figure

@@ -887,12 +887,12 @@

Demonstration 5

name coeff CI_lower CI_upper p-val -------------------------------------------------------------------------------- -(Intercept) +5.667 +4.796 +6.537 <.001 -brands_1 -1.333 -1.891 -0.7761 .011 -brands_2 -2.167 -3.115 -1.218 <.001 -popper_1 +1.167 +0.6078 +1.726 .014 -brands:popper_1 -0.3333 -1.067 +0.4000 .329 -brands:popper_2 -0.1667 -1.246 +0.9128 .729 +(Intercept) +5.667 +4.791 +6.542 <.001 +brands_1 -1.333 -1.895 -0.7721 .010 +brands_2 -2.167 -3.122 -1.211 <.001 +popper_1 +1.167 +0.5982 +1.735 .016 +brands:popper_1 -0.3333 -1.077 +0.4099 .336 +brands:popper_2 -0.1667 -1.245 +0.9121 .732 MODEL FORMULA (based on Wilkinson's notation): @@ -903,9 +903,9 @@

Demonstration 5

name mean CI_lower CI_upper p-adj -------------------------------------------------------------------------------- -Gourmet - National +1.500 +1.128 +1.872 <.001 -Gourmet - Generic +2.250 +1.711 +2.789 <.001 -National - Generic +0.7500 +0.2025 +1.297 .010 +Gourmet - National +1.500 +1.119 +1.881 <.001 +Gourmet - Generic +2.250 +1.709 +2.791 <.001 +National - Generic +0.7500 +0.2069 +1.293 .011 MODEL FORMULA (based on Wilkinson's notation): @@ -916,9 +916,9 @@

Demonstration 5

name mean CI_lower CI_upper N -------------------------------------------------------------------------------- -Gourmet +6.250 +6.059 +6.439 6 -National +4.750 +4.563 +4.942 6 -Generic +4.000 +3.685 +4.325 6 +Gourmet +6.250 +6.064 +6.444 6 +National +4.750 +4.563 +4.936 6 +Generic +4.000 +3.688 +4.326 6 MODEL FORMULA (based on Wilkinson's notation): @@ -929,7 +929,7 @@

Demonstration 5

name mean CI_lower CI_upper p-adj -------------------------------------------------------------------------------- -oil - air -1.000 -1.380 -0.6196 <.001 +oil - air -1.000 -1.380 -0.6198 <.001 MODEL FORMULA (based on Wilkinson's notation): @@ -940,8 +940,8 @@

Demonstration 5

name mean CI_lower CI_upper N -------------------------------------------------------------------------------- -oil +4.500 +4.307 +4.687 9 -air +5.500 +5.315 +5.684 9 +oil +4.500 +4.311 +4.684 9 +air +5.500 +5.313 +5.685 9

and the following figure

diff --git a/docs/function/bootmode.html b/docs/function/bootmode.html index 1ab2b860..80c44650 100644 --- a/docs/function/bootmode.html +++ b/docs/function/bootmode.html @@ -3,7 +3,7 @@ - + @@ -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 so reject the null hypothesisthat there is 1 mode
 
-ans = H2 is 0 with p = 0.333 so accept the null hypothesis that there are 2 modes
+ans = H2 is 0 with p = 0.328 so accept the null hypothesis that there are 2 modes

Package: statistics-resampling

diff --git a/docs/function/bootstrp.html b/docs/function/bootstrp.html index ddaf7ea5..d84567a1 100644 --- a/docs/function/bootstrp.html +++ b/docs/function/bootstrp.html @@ -3,7 +3,7 @@ - + diff --git a/docs/function/bootwild.html b/docs/function/bootwild.html index 834f569e..0bede356 100644 --- a/docs/function/bootwild.html +++ b/docs/function/bootwild.html @@ -3,7 +3,7 @@ - + @@ -218,8 +218,8 @@

Demonstration 2

Test Statistics: original std_err CI_lower CI_upper t-stat p-val FPR - +175.5 +2.502 +169.6 +181.5 +70.1 <.001 .010 - +0.1904 +0.08261 +0.002193 +0.3786 +2.31 .047 .281 + +175.5 +2.502 +169.8 +181.2 +70.1 <.001 .010 + +0.1904 +0.08261 +0.002306 +0.3785 +2.31 .048 .285

Package: statistics-resampling

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Demonstration 1

@(x, y) log (var (y) ./ var (x)))

Produces the following output

-
pval = 0.3656
-pval = 0.284
-pval = 0.31125
+
pval = 0.3602
+pval =  0.28
+pval = 0.31166

Demonstration 2

@@ -207,7 +207,7 @@

Demonstration 3

pval = randtest2 ([X GX], [Y GY], false, 5000)

Produces the following output

-
pval = 0.0005525
+
pval = 0.0013
 pval =   0.2
@@ -230,7 +230,7 @@

Demonstration 4

pval = randtest2 ([X GX], [Y GY], true, 5000)

Produces the following output

-
pval = 0.0016
+
pval = 0.0007
 pval =  0.25
@@ -252,7 +252,7 @@

Demonstration 5

pval = randtest2([X, GX], [Y, GY], false)

Produces the following output

-
pval = 0.0656
+
pval = 0.065

Package: statistics-resampling

diff --git a/docs/function/sampszcalc.html b/docs/function/sampszcalc.html index 529a0b78..20f41817 100644 --- a/docs/function/sampszcalc.html +++ b/docs/function/sampszcalc.html @@ -3,7 +3,7 @@ - + diff --git a/docs/function/smoothmad.html b/docs/function/smoothmad.html index 6c0001c7..68a8d29f 100644 --- a/docs/function/smoothmad.html +++ b/docs/function/smoothmad.html @@ -3,7 +3,7 @@ - + diff --git a/docs/function/smoothmedian.html b/docs/function/smoothmedian.html index 385c29e9..8a5fa72c 100644 --- a/docs/function/smoothmedian.html +++ b/docs/function/smoothmedian.html @@ -3,7 +3,7 @@ - + diff --git a/docs/function_reference.html b/docs/function_reference.html index ebae1b20..5166c414 100644 --- a/docs/function_reference.html +++ b/docs/function_reference.html @@ -3,7 +3,7 @@ - + diff --git a/docs/index.html b/docs/index.html index f91b6f56..17219d39 100644 --- a/docs/index.html +++ b/docs/index.html @@ -3,7 +3,7 @@ - + diff --git a/docs/readme.html b/docs/readme.html index e2fb8e10..669d8da5 100644 --- a/docs/readme.html +++ b/docs/readme.html @@ -21,7 +21,7 @@

Read me

Binder Description

Using the statistics-resampling package online

Try out the statistics-resampling package in your browser at statistics-resampling-online +href="https://mybinder.org/v2/gh/acpennlab/statistics-resampling-online/jammy-docker?urlpath=/lab/tree/statistics-resampling.ipynb">statistics-resampling-online Binder: a ready-to-go implementation of statistics-resampling in a JupyterLab Notebook with an Octave kernel. Note that the first time (since the @@ -197,7 +197,7 @@

Usage

integrate use of the statistics-resampling package into your analysis workflow alongside other programming languages including Python, R and Julia Binder

Quick start

Below are links to demonstrations of how the bootstrap or @@ -266,9 +266,9 @@

Quick start

For examples of how to import data sets from a human-readable text file, like a tab-separated-value (TSV) and comma-separated-value (CSV) file, see the examples in the JupyterLab Notebook at statistics-resampling-online +href="https://mybinder.org/v2/gh/acpennlab/statistics-resampling-online/jammy-docker?urlpath=/lab/tree/statistics-resampling.ipynb">statistics-resampling-online Binder and the last demonstration listed on this