diff --git a/docs/copying.html b/docs/copying.html index 22f28823..94ce3ba0 100644 --- a/docs/copying.html +++ b/docs/copying.html @@ -3,7 +3,7 @@ - + diff --git a/docs/description.json b/docs/description.json index 2335e7d3..344319fc 100644 --- a/docs/description.json +++ b/docs/description.json @@ -1,7 +1,7 @@ { "generator": "generate_html", "generator_version": "0.3.3", - "date_generated": "2024-01-09", + "date_generated": "2024-01-10", "package": { "name": "statistics-resampling", diff --git a/docs/function/boot.html b/docs/function/boot.html index 8c509656..d79cb4e2 100644 --- a/docs/function/boot.html +++ b/docs/function/boot.html @@ -3,7 +3,7 @@ - + @@ -118,15 +118,15 @@

Demonstration 1

Columns 1 through 12: - 1 1 2 1 1 3 1 2 2 3 3 3 - 3 3 3 3 2 2 2 3 3 3 1 2 - 1 1 2 3 1 3 3 1 2 1 2 2 + 2 2 3 3 1 1 2 2 3 2 2 3 + 2 3 3 2 1 1 1 2 3 3 3 1 + 3 2 3 3 2 2 2 1 3 3 1 1 Columns 13 through 20: - 1 2 1 3 1 2 1 3 - 3 1 1 1 2 2 2 3 - 2 3 3 2 2 1 2 1 + 3 1 3 2 1 2 3 1 + 1 2 3 3 2 1 1 2 + 1 1 2 1 2 1 3 1

Demonstration 2

@@ -141,15 +141,15 @@

Demonstration 2

Columns 1 through 12: - 2 3 2 2 1 1 2 3 1 3 1 1 - 3 3 1 2 1 1 2 3 2 2 3 2 - 2 3 2 3 3 2 2 3 1 3 3 2 + 3 3 2 3 1 2 2 1 1 3 3 1 + 2 1 1 2 1 1 3 1 1 3 3 2 + 2 3 1 3 3 2 3 1 1 3 3 1 Columns 13 through 20: - 2 3 1 3 1 2 1 1 - 2 1 1 2 3 1 2 2 - 3 3 1 3 1 1 1 3 + 2 3 2 2 1 2 2 3 + 3 1 1 3 1 2 2 2 + 3 3 1 2 1 2 2 2

Demonstration 3

diff --git a/docs/function/boot1way.html b/docs/function/boot1way.html index 453f68a6..d7709362 100644 --- a/docs/function/boot1way.html +++ b/docs/function/boot1way.html @@ -3,7 +3,7 @@ - + @@ -528,7 +528,7 @@

Demonstration 7

----------------------------------------------------------------------------- | Comparison | Test # | Ref # | Difference | t | p | |------------|------------|------------|------------|------------|----------| -| 1 | 2 | 1 | +0.2090 | +0.46 | .604 | +| 1 | 2 | 1 | +0.8611 | +2.83 | .013 |* ----------------------------------------------------------------------------- | GROUP # | GROUP label | N | @@ -573,7 +573,7 @@

Demonstration 8

----------------------------------------------------------------------------- | Comparison | Test # | Ref # | Difference | t | p | |------------|------------|------------|------------|------------|----------| -| 1 | 2 | 1 | -0.8528 | -1.61 | .059 | +| 1 | 2 | 1 | +0.4548 | +0.50 | .474 | ----------------------------------------------------------------------------- | GROUP # | GROUP label | N | diff --git a/docs/function/bootbayes.html b/docs/function/bootbayes.html index 5fc37d57..df85aff5 100644 --- a/docs/function/bootbayes.html +++ b/docs/function/bootbayes.html @@ -3,7 +3,7 @@ - + @@ -187,7 +187,7 @@

Demonstration 1

Posterior Statistics: original bias median stdev CI_lower CI_upper - +184.5 +0.01529 +184.5 1.351 +181.7 +187.2 + +184.5 -0.01222 +184.5 1.326 +181.8 +187.1

Demonstration 2

@@ -224,8 +224,8 @@

Demonstration 2

Posterior Statistics: original bias median stdev CI_lower CI_upper - +175.5 -0.07775 +175.4 2.287 +171.1 +179.9 - +0.1904 +0.002169 +0.1929 0.07622 +0.03454 +0.3340 + +175.5 +0.05523 +175.6 2.404 +170.8 +180.0 + +0.1904 -0.002010 +0.1906 0.07972 +0.02251 +0.3314

Package: statistics-resampling

diff --git a/docs/function/bootcdf.html b/docs/function/bootcdf.html index 6c455056..0e78e12f 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 468a549c..f7f77335 100644 --- a/docs/function/bootci.html +++ b/docs/function/bootci.html @@ -3,7 +3,7 @@ - + @@ -184,8 +184,8 @@

Demonstration 1

Produces the following output

ci =
 
-        23.76
-        34.42
+ 23.616 + 34.358

Demonstration 2

@@ -204,8 +204,8 @@

Demonstration 2

Produces the following output

ci =
 
-       23.559
-        34.47
+ 23.975 + 34.269

Demonstration 3

@@ -225,8 +225,8 @@

Demonstration 3

Produces the following output

ci =
 
-       24.642
-       37.064
+ 25.04 + 36.477

Demonstration 4

@@ -243,8 +243,8 @@

Demonstration 4

Produces the following output

ci =
 
-       98.519
-       238.89
+ 96.629 + 235.91

Demonstration 5

@@ -261,8 +261,8 @@

Demonstration 5

Produces the following output

ci =
 
-       115.61
-       257.61
+ 117.01 + 260.73

Demonstration 6

@@ -282,8 +282,8 @@

Demonstration 6

Produces the following output

ci =
 
-       108.01
-       294.74
+ 108.55 + 297.71

Demonstration 7

@@ -303,8 +303,8 @@

Demonstration 7

Produces the following output

ci =
 
-       113.22
-       274.06
+ 111.53 + 268.13

Demonstration 8

@@ -325,8 +325,8 @@

Demonstration 8

Produces the following output

ci =
 
-      0.48974
-      0.86621
+ 0.50501 + 0.86333

Demonstration 9

@@ -352,11 +352,11 @@

Demonstration 9

% so we will use it's logistic_regression function for fitting ordinal % models instead. function [B, DEV] = mnrfit (X, Y, varargin) - % Note that the if the outcome has more than two levels, the - % logistic_regression function is only suitable when the outcome - % is ordinal, so we would need to use append 'model', 'ordinal' - % as a name-value pair in MATLAB when executing it's mnrfit - % function (see below) + % Note that if the outcome has more than two levels, the + % logistic_regression function is only suitable when the + % outcome is ordinal, so we would need to use append 'model', + % 'ordinal' as a name-value pair in MATLAB when executing + % it's mnrfit function (see below) [INTERCEPT, SLOPE, DEV] = logistic_regression (Y - 1, X, false); B = cat (1, INTERCEPT, SLOPE); end @@ -431,13 +431,13 @@

Demonstration 9

Produces the following output

ans =
 
-       -16.69      -20.708      -12.631
-      -11.721      -15.325      -8.1335
-      -8.0606       -11.48      -4.5918
-      0.10476    -0.075934      0.27759
-     0.010336   -0.0023397     0.023668
-      0.06452     0.031991     0.095183
-    0.0016638   0.00020785    0.0030769
+ -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

Demonstration 10

diff --git a/docs/function/bootclust.html b/docs/function/bootclust.html index 4f833fe9..7b6c381f 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% (1.0%, 97.1%) + Nominal coverage (and the percentiles used): 95% (1.2%, 97.5%) Bootstrap Statistics: original bias std_error CI_lower CI_upper - +29.65 -2.842e-14 +2.581 +22.98 +34.22 + +29.65 +3.553e-14 +2.523 +23.72 +34.45

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%, 98.7%) + Nominal coverage (and the percentiles used): 95% (1.0%, 98.6%) Bootstrap Statistics: original bias std_error CI_lower CI_upper - +29.65 -0.04208 +3.000 +22.53 +35.94 + +29.65 -0.03948 +2.926 +23.00 +35.88

Demonstration 3

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

Demonstration 3

Bootstrap Statistics: original bias std_error CI_lower CI_upper - +171.5 -6.575 +41.57 +98.47 +236.1 + +171.5 -6.433 +41.32 +98.56 +233.4

Demonstration 4

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

Demonstration 4

Bootstrap Statistics: original bias std_error CI_lower CI_upper - +171.5 -9.098 +32.85 +105.8 +213.8 + +171.5 -9.101 +33.53 +103.6 +214.9

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% (12.2%, 98.7%) + Nominal coverage (and the percentiles used): 90% (12.6%, 98.8%) Bootstrap Statistics: original bias std_error CI_lower CI_upper - +171.5 -6.331 +41.66 +116.8 +265.2 + +171.5 -7.207 +41.84 +116.2 +263.7

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% (12.5%, 98.6%) + Nominal coverage (and the percentiles used): 90% (13.4%, 98.8%) Bootstrap Statistics: original bias std_error CI_lower CI_upper - +171.5 -9.156 +34.09 +122.4 +231.5 + +171.5 -9.472 +33.84 +122.9 +231.4

Demonstration 7

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

Demonstration 7

Bootstrap Statistics: original bias std_error CI_lower CI_upper - -0.4651 +0.001961 +0.3238 -1.027 +0.03004 - -0.1629 +0.03066 +0.3168 -0.5549 +0.4920 + +0.1158 -0.01867 +0.2305 -0.2479 +0.5164 + -0.07501 +0.0002203 +0.2306 -0.4560 +0.3089

Demonstration 8

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

Demonstration 8

Bootstrap Statistics: original bias std_error CI_lower CI_upper - -0.2174 +0.004484 +0.1182 -0.4452 -0.04734 - +0.2447 +0.01264 +0.09183 +0.09193 +0.3817 + -0.1061 -0.03943 +0.2424 -0.4823 +0.2753 + +0.2456 +0.04223 +0.1685 -0.05556 +0.4826

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% (2.0%, 97.0%) + Nominal coverage (and the percentiles used): 95% (1.9%, 96.9%) Bootstrap Statistics: original bias std_error CI_lower CI_upper - +0.7764 -0.02467 +0.1443 +0.4066 +0.9989 + +0.7764 -0.02413 +0.1448 +0.4022 +0.9982

Package: statistics-resampling

diff --git a/docs/function/bootknife.html b/docs/function/bootknife.html index bbbd78a5..b4bf1e67 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% (1.5%, 97.5%) + Nominal coverage (and the percentiles used): 95% (1.4%, 97.3%) Bootstrap Statistics: original bias std_error CI_lower CI_upper - +29.65 -7.105e-15 +2.578 +24.04 +34.63 + +29.65 +1.421e-14 +2.623 +23.49 +34.39

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% (0.9%, 97.0%) + Nominal coverage (and the percentiles used): 95% (1.9%, 96.5%) Bootstrap Statistics: original bias std_error CI_lower CI_upper - +29.65 +6.395e-14 +2.700 +23.58 +34.65 + +29.65 -4.263e-14 +2.409 +24.36 +34.19

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% (1.9%, 97.7%) + Nominal coverage (and the percentiles used): 95% (2.0%, 98.1%) Bootstrap Statistics: original bias std_error CI_lower CI_upper - +30.86 -0.02583 +2.870 +24.58 +36.89 + +30.86 -0.01828 +2.989 +24.43 +37.34

Demonstration 4

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

Demonstration 4

Bootstrap Statistics: original bias std_error CI_lower CI_upper - +171.5 -6.877 +42.65 +96.90 +235.9 + +171.5 -6.765 +43.06 +95.90 +237.6

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% (12.3%, 98.7%) + Nominal coverage (and the percentiles used): 90% (12.7%, 98.8%) Bootstrap Statistics: original bias std_error CI_lower CI_upper - +171.5 -6.892 +42.58 +114.2 +261.0 + +171.5 -6.931 +42.16 +116.3 +267.1

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% (2.3%, 97.7%) + Nominal coverage (and the percentiles used): 90% (2.4%, 97.6%) Bootstrap Statistics: original bias std_error CI_lower CI_upper - +171.5 -6.255 +45.24 +83.21 +250.6 + +171.5 -7.127 +44.42 +84.01 +252.6

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% (12.9%, 99.5%) + Nominal coverage (and the percentiles used): 90% (12.5%, 99.4%) Bootstrap Statistics: original bias std_error CI_lower CI_upper - +171.5 -7.093 +42.73 +116.9 +274.5 + +171.5 -7.451 +43.12 +116.4 +272.0

Demonstration 8

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

Demonstration 8

Bootstrap Statistics: original bias std_error CI_lower CI_upper - -0.2534 -0.01908 +0.1512 -0.4752 +0.02339 - +0.1533 +0.01402 +0.1887 -0.1655 +0.4657 + +0.1289 -0.003838 +0.2616 -0.3030 +0.5604 + -0.1546 -0.01283 +0.2587 -0.5732 +0.2683

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%, 93.7%) + Nominal coverage (and the percentiles used): 95% (0.5%, 93.5%) Bootstrap Statistics: original bias std_error CI_lower CI_upper - +0.7764 -0.005447 +0.1403 +0.3193 +0.9513 + +0.7764 -0.006901 +0.1388 +0.3309 +0.9475

Demonstration 10

@@ -491,11 +491,11 @@

Demonstration 10

% so we will use it's logistic_regression function for fitting ordinal % models instead. function [B, DEV] = mnrfit (X, Y, varargin) - % Note that the if the outcome has more than two levels, the - % logistic_regression function is only suitable when the outcome - % is ordinal, so we would need to use append 'model', 'ordinal' - % as a name-value pair in MATLAB when executing it's mnrfit - % function (see below) + % Note that if the outcome has more than two levels, the + % logistic_regression function is only suitable when the + % outcome is ordinal, so we would need to use append 'model', + % 'ordinal' as a name-value pair in MATLAB when executing + % it's mnrfit function (see below) [INTERCEPT, SLOPE, DEV] = logistic_regression (Y - 1, X, false); B = cat (1, INTERCEPT, SLOPE); end @@ -577,13 +577,13 @@

Demonstration 10

Bootstrap Statistics: original bias std_error CI_lower CI_upper - -16.69 -0.5400 +2.178 -20.46 -12.09 - -11.72 -0.3836 +1.910 -15.11 -7.757 - -8.061 -0.2809 +1.803 -11.35 -4.499 - +0.1048 +0.006136 +0.09368 -0.08632 +0.2844 - +0.01034 +0.0006852 +0.006607 -0.002410 +0.02330 - +0.06452 +0.002464 +0.01675 +0.03256 +0.09740 - +0.001664 +6.542e-06 +0.0007468 +0.0001216 +0.003071 + -16.69 -0.5207 +2.117 -20.56 -12.60 + -11.72 -0.3684 +1.859 -15.28 -8.100 + -8.061 -0.2661 +1.755 -11.48 -4.634 + +0.1048 +0.005914 +0.09065 -0.08522 +0.2766 + +0.01034 +0.0006592 +0.006537 -0.001828 +0.02308 + +0.06452 +0.002425 +0.01656 +0.03391 +0.09642 + +0.001664 +4.451e-06 +0.0007556 +0.0001071 +0.003140

Demonstration 11

diff --git a/docs/function/bootlm.html b/docs/function/bootlm.html index 46178645..560a381d 100644 --- a/docs/function/bootlm.html +++ b/docs/function/bootlm.html @@ -3,7 +3,7 @@ - + @@ -481,7 +481,7 @@

Demonstration 1

name mean CI_lower CI_upper p-adj -------------------------------------------------------------------------------- -female - male +10.80 -8.449 +30.05 .238 +female - male +10.80 -9.003 +30.60 .247 MODEL FORMULA (based on Wilkinson's notation): @@ -492,8 +492,8 @@

Demonstration 1

name mean CI_lower CI_upper N -------------------------------------------------------------------------------- -male +44.20 +32.79 +53.58 5 -female +55.00 +42.57 +68.08 6 +male +44.20 +32.57 +53.65 5 +female +55.00 +42.30 +67.91 6

and the following figure

@@ -539,7 +539,7 @@

Demonstration 2

name mean CI_lower CI_upper p-adj -------------------------------------------------------------------------------- -after - before +1.460 +0.6593 +2.261 .001 +after - before +1.460 +0.6653 +2.255 .003 MODEL FORMULA (based on Wilkinson's notation): @@ -550,8 +550,8 @@

Demonstration 2

name mean CI_lower CI_upper N -------------------------------------------------------------------------------- -before +4.560 +4.104 +4.997 5 -after +6.020 +5.581 +6.464 5 +before +4.560 +4.093 +4.994 5 +after +6.020 +5.578 +6.467 5

and the following figure

@@ -606,9 +606,9 @@

Demonstration 3

name mean CI_lower CI_upper p-adj -------------------------------------------------------------------------------- -st - al1 +7.000 +3.877 +10.14 <.001 -st - al2 +5.000 +2.597 +7.452 <.001 -al1 - al2 -2.000 -4.841 +0.9236 .177 +st - al1 +7.000 +3.830 +10.10 <.001 +st - al2 +5.000 +2.576 +7.468 <.001 +al1 - al2 -2.000 -4.871 +0.8738 .173 MODEL FORMULA (based on Wilkinson's notation): @@ -619,9 +619,9 @@

Demonstration 3

name mean CI_lower CI_upper N -------------------------------------------------------------------------------- -st +84.00 +82.19 +85.76 8 -al1 +77.00 +74.99 +79.51 6 -al2 +79.00 +77.72 +80.44 6 +st +84.00 +82.07 +85.65 8 +al1 +77.00 +75.04 +79.45 6 +al2 +79.00 +77.63 +80.40 6

and the following figure

@@ -684,9 +684,9 @@

Demonstration 4

name mean CI_lower CI_upper p-adj -------------------------------------------------------------------------------- -1 - 2 -2.000 -2.708 -1.273 <.001 -1 - 5 -3.200 -3.873 -2.535 <.001 -2 - 5 -1.200 -2.082 -0.3545 .012 +1 - 2 -2.000 -2.728 -1.272 <.001 +1 - 5 -3.200 -3.867 -2.551 <.001 +2 - 5 -1.200 -2.112 -0.3128 .012 MODEL FORMULA (based on Wilkinson's notation): @@ -698,8 +698,8 @@

Demonstration 4

name mean CI_lower CI_upper N -------------------------------------------------------------------------------- 1 +11.00 +10.64 +11.36 10 -2 +13.00 +12.53 +13.49 10 -5 +14.20 +13.74 +14.64 10 +2 +13.00 +12.52 +13.47 10 +5 +14.20 +13.76 +14.64 10

and the following figure

@@ -771,12 +771,12 @@

Demonstration 5

name coeff CI_lower CI_upper p-val -------------------------------------------------------------------------------- -(Intercept) +5.667 +4.780 +6.554 <.001 -brands_1 -1.333 -1.901 -0.7656 .009 -brands_2 -2.167 -3.123 -1.210 <.001 -popper_1 +1.167 +0.5921 +1.741 .018 -brands:popper_1 -0.3333 -1.085 +0.4186 .340 -brands:popper_2 -0.1667 -1.256 +0.9222 .738 +(Intercept) +5.667 +4.794 +6.540 <.001 +brands_1 -1.333 -1.894 -0.7723 .011 +brands_2 -2.167 -3.102 -1.231 <.001 +popper_1 +1.167 +0.6066 +1.727 .017 +brands:popper_1 -0.3333 -1.066 +0.3989 .328 +brands:popper_2 -0.1667 -1.264 +0.9308 .725 MODEL FORMULA (based on Wilkinson's notation): @@ -787,9 +787,9 @@

Demonstration 5

name mean CI_lower CI_upper p-adj -------------------------------------------------------------------------------- -Gourmet - National +1.500 +1.126 +1.874 <.001 -Gourmet - Generic +2.250 +1.703 +2.797 <.001 -National - Generic +0.7500 +0.2045 +1.295 .009 +Gourmet - National +1.500 +1.124 +1.876 <.001 +Gourmet - Generic +2.250 +1.699 +2.801 <.001 +National - Generic +0.7500 +0.2003 +1.300 .010 MODEL FORMULA (based on Wilkinson's notation): @@ -800,9 +800,9 @@

Demonstration 5

name mean CI_lower CI_upper N -------------------------------------------------------------------------------- -Gourmet +6.250 +6.054 +6.430 6 -National +4.750 +4.554 +4.938 6 -Generic +4.000 +3.690 +4.336 6 +Gourmet +6.250 +6.064 +6.441 6 +National +4.750 +4.558 +4.938 6 +Generic +4.000 +3.657 +4.305 6 MODEL FORMULA (based on Wilkinson's notation): @@ -813,7 +813,7 @@

Demonstration 5

name mean CI_lower CI_upper p-adj -------------------------------------------------------------------------------- -oil - air -1.000 -1.379 -0.6213 <.001 +oil - air -1.000 -1.384 -0.6161 <.001 MODEL FORMULA (based on Wilkinson's notation): @@ -824,8 +824,8 @@

Demonstration 5

name mean CI_lower CI_upper N -------------------------------------------------------------------------------- -oil +4.500 +4.318 +4.694 9 -air +5.500 +5.319 +5.685 9 +oil +4.500 +4.319 +4.693 9 +air +5.500 +5.327 +5.693 9

and the following figure

diff --git a/docs/function/bootmode.html b/docs/function/bootmode.html index 5f749ac4..4f199992 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 = 0.315 so accept the null hypothesis that there are 2 modes
+ans = H2 is 0 with p = 0.316 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 21a5adad..86229606 100644 --- a/docs/function/bootstrp.html +++ b/docs/function/bootstrp.html @@ -3,7 +3,7 @@ - + @@ -105,58 +105,58 @@

Demonstration 1

Produces the following output

bootstat =
 
-       31.846
-       31.577
+       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
-       30.692
-       30.654
-       31.077
-       37.269
-       32.115
-       28.885
-           30
-       27.769
-       29.462
-       27.538
-       31.346
-           24
-       29.308
+       26.269
+       31.423
+       30.154
+       29.654
+       28.577
        32.154
-       29.577
-       28.923
-       27.731
-       30.231
-       30.346
-       29.115
+       28.385
        32.615
-       27.538
+       24.846
        32.269
-       29.538
-       27.231
-       31.654
-       32.192
-       32.962
-       29.077
-       29.538
-       32.192
+       25.577
+       29.615
+       26.923
+       27.038
+       26.731
+       33.923
        31.962
-       30.923
-       30.615
-       30.462
-       32.077
-           23
-         32.5
-       28.308
+       26.538
+       26.846
+       29.769
+           27
+       26.731
+       29.231
+       30.885
+       31.077
+           30
        29.115
-       22.885
-       27.308
-       28.462
-       23.385
-       27.885
-       31.038
-       27.308
-
-ans = 2.7271
+ 31.769 + 32.423 + 30.692 + 29.231 + 31.077 + +ans = 2.7164

Package: statistics-resampling

diff --git a/docs/function/bootwild.html b/docs/function/bootwild.html index a9936061..83c18fae 100644 --- a/docs/function/bootwild.html +++ b/docs/function/bootwild.html @@ -3,7 +3,7 @@ - + @@ -213,8 +213,8 @@

Demonstration 2

Test Statistics: original std_err CI_lower CI_upper t-stat p-val FPR - +175.5 +2.502 +169.4 +181.7 +70.1 <.001 .010 - +0.1904 +0.08261 -0.005301 +0.3861 +2.31 .055 .303 + +175.5 +2.502 +169.8 +181.3 +70.1 <.001 .010 + +0.1904 +0.08261 +0.007978 +0.3729 +2.31 .043 .268

Package: statistics-resampling

diff --git a/docs/function/cor.html b/docs/function/cor.html index 71c63aee..3459fd31 100644 --- a/docs/function/cor.html +++ b/docs/function/cor.html @@ -3,7 +3,7 @@ - + diff --git a/docs/function/credint.html b/docs/function/credint.html index e1f82fe7..1d367728 100644 --- a/docs/function/credint.html +++ b/docs/function/credint.html @@ -3,7 +3,7 @@ - + diff --git a/docs/function/deffcalc.html b/docs/function/deffcalc.html index b43446c4..2950ad45 100644 --- a/docs/function/deffcalc.html +++ b/docs/function/deffcalc.html @@ -3,7 +3,7 @@ - + diff --git a/docs/function/images/boot1way_701.png b/docs/function/images/boot1way_701.png index 1193e304..5e02cb90 100644 Binary files a/docs/function/images/boot1way_701.png and b/docs/function/images/boot1way_701.png differ diff --git a/docs/function/images/boot1way_801.png b/docs/function/images/boot1way_801.png index 338ae40d..b63d849f 100644 Binary files a/docs/function/images/boot1way_801.png and b/docs/function/images/boot1way_801.png differ diff --git a/docs/function/randtest2.html b/docs/function/randtest2.html index 4b6f0885..f4bd712c 100644 --- a/docs/function/randtest2.html +++ b/docs/function/randtest2.html @@ -3,7 +3,7 @@ - + @@ -152,9 +152,9 @@

Demonstration 1

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

Produces the following output

-
pval = 0.361
-pval = 0.281
-pval = 0.31786
+
pval = 0.3672
+pval = 0.275
+pval = 0.31392

Demonstration 2

diff --git a/docs/function/sampszcalc.html b/docs/function/sampszcalc.html index 1e85ef77..b6fc3bc2 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 c3e12ec6..fa87ffdb 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 61edc468..a4050859 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 91c9397e..5dce8b2d 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 299378fa..4ac4df39 100644 --- a/docs/index.html +++ b/docs/index.html @@ -3,7 +3,7 @@ - + diff --git a/matlab/statistics-resampling.mltbx b/matlab/statistics-resampling.mltbx index 66cdbdd4..78f2064f 100644 Binary files a/matlab/statistics-resampling.mltbx and b/matlab/statistics-resampling.mltbx differ diff --git a/matlab/statistics-resampling.prj b/matlab/statistics-resampling.prj index 4e1f3867..1d03bdd3 100644 --- a/matlab/statistics-resampling.prj +++ b/matlab/statistics-resampling.prj @@ -1,14 +1,14 @@ - + statistics-resampling Andrew Penn andy.c.penn@gmail.com University of Sussex Statistical analysis using resampling methods The statistics-resampling package is an Octave package and Matlab toolbox that can be used to overcome a wide variety of statistics problems using non-parametric resampling methods. In particular, the functions included can be used to estimate bias, uncertainty (standard errors and confidence intervals), prediction error, and test hypotheses (p-values). Variations of the resampling methods are included that improve the accuracy of the statistics for small samples and samples with complex dependence structures. - Y:\Documents\GitHub\statistics-resampling\doc\icon.png + /Users/andrewcpenn/Library/Mobile Documents/com~apple~CloudDocs/GitHub/statistics-resampling/doc/icon.png 5.5.4 - ${PROJECT_ROOT}\statistics-resampling.mltbx + ${PROJECT_ROOT}/statistics-resampling.mltbx @@ -33,83 +33,120 @@ % All files matching a pattern in all subfolders of the toolbox folder: % **/*.bak % - <?xml version="1.0" encoding="utf-8"?> -<examples/> + true + + + + + + false + + + + + + false + true + true + true + true + + + + + + + + + + + + + + + + + + + + + + + + + + + + + - Y:\Documents\GitHub\statistics-resampling\inst + /Users/andrewcpenn/Library/Mobile Documents/com~apple~CloudDocs/GitHub/statistics-resampling/inst - Y:\Documents\GitHub\statistics-resampling\inst\boot.m - Y:\Documents\GitHub\statistics-resampling\inst\boot.mexa64 - Y:\Documents\GitHub\statistics-resampling\inst\boot.mexmaci64 - Y:\Documents\GitHub\statistics-resampling\inst\boot.mexw32 - Y:\Documents\GitHub\statistics-resampling\inst\boot.mexw64 - Y:\Documents\GitHub\statistics-resampling\inst\boot1way.m - Y:\Documents\GitHub\statistics-resampling\inst\bootbayes.m - Y:\Documents\GitHub\statistics-resampling\inst\bootcdf.m - Y:\Documents\GitHub\statistics-resampling\inst\bootci.m - Y:\Documents\GitHub\statistics-resampling\inst\bootclust.m - Y:\Documents\GitHub\statistics-resampling\inst\bootknife.m - Y:\Documents\GitHub\statistics-resampling\inst\bootlm.m - Y:\Documents\GitHub\statistics-resampling\inst\bootmode.m - Y:\Documents\GitHub\statistics-resampling\inst\bootstrp.m - Y:\Documents\GitHub\statistics-resampling\inst\bootwild.m - Y:\Documents\GitHub\statistics-resampling\inst\cor.m - Y:\Documents\GitHub\statistics-resampling\inst\credint.m - Y:\Documents\GitHub\statistics-resampling\inst\deffcalc.m - Y:\Documents\GitHub\statistics-resampling\inst\randtest2.m - Y:\Documents\GitHub\statistics-resampling\inst\sampszcalc.m - Y:\Documents\GitHub\statistics-resampling\inst\smoothmad.m - Y:\Documents\GitHub\statistics-resampling\inst\smoothmedian.m - Y:\Documents\GitHub\statistics-resampling\inst\smoothmedian.mexa64 - Y:\Documents\GitHub\statistics-resampling\inst\smoothmedian.mexmaci64 - Y:\Documents\GitHub\statistics-resampling\inst\smoothmedian.mexw32 - Y:\Documents\GitHub\statistics-resampling\inst\smoothmedian.mexw64 + /Users/andrewcpenn/Library/Mobile Documents/com~apple~CloudDocs/GitHub/statistics-resampling/inst/boot.m + /Users/andrewcpenn/Library/Mobile Documents/com~apple~CloudDocs/GitHub/statistics-resampling/inst/boot.mexa64 + /Users/andrewcpenn/Library/Mobile Documents/com~apple~CloudDocs/GitHub/statistics-resampling/inst/boot.mexmaci64 + /Users/andrewcpenn/Library/Mobile Documents/com~apple~CloudDocs/GitHub/statistics-resampling/inst/boot.mexw32 + /Users/andrewcpenn/Library/Mobile Documents/com~apple~CloudDocs/GitHub/statistics-resampling/inst/boot.mexw64 + /Users/andrewcpenn/Library/Mobile Documents/com~apple~CloudDocs/GitHub/statistics-resampling/inst/boot1way.m + /Users/andrewcpenn/Library/Mobile Documents/com~apple~CloudDocs/GitHub/statistics-resampling/inst/bootbayes.m + /Users/andrewcpenn/Library/Mobile Documents/com~apple~CloudDocs/GitHub/statistics-resampling/inst/bootcdf.m + /Users/andrewcpenn/Library/Mobile Documents/com~apple~CloudDocs/GitHub/statistics-resampling/inst/bootci.m + /Users/andrewcpenn/Library/Mobile Documents/com~apple~CloudDocs/GitHub/statistics-resampling/inst/bootclust.m + /Users/andrewcpenn/Library/Mobile Documents/com~apple~CloudDocs/GitHub/statistics-resampling/inst/bootknife.m + /Users/andrewcpenn/Library/Mobile Documents/com~apple~CloudDocs/GitHub/statistics-resampling/inst/bootlm.m + /Users/andrewcpenn/Library/Mobile Documents/com~apple~CloudDocs/GitHub/statistics-resampling/inst/bootmode.m + /Users/andrewcpenn/Library/Mobile Documents/com~apple~CloudDocs/GitHub/statistics-resampling/inst/bootstrp.m + /Users/andrewcpenn/Library/Mobile Documents/com~apple~CloudDocs/GitHub/statistics-resampling/inst/bootwild.m + /Users/andrewcpenn/Library/Mobile Documents/com~apple~CloudDocs/GitHub/statistics-resampling/inst/cor.m + /Users/andrewcpenn/Library/Mobile Documents/com~apple~CloudDocs/GitHub/statistics-resampling/inst/credint.m + /Users/andrewcpenn/Library/Mobile Documents/com~apple~CloudDocs/GitHub/statistics-resampling/inst/deffcalc.m + /Users/andrewcpenn/Library/Mobile Documents/com~apple~CloudDocs/GitHub/statistics-resampling/inst/randtest2.m + /Users/andrewcpenn/Library/Mobile Documents/com~apple~CloudDocs/GitHub/statistics-resampling/inst/sampszcalc.m + /Users/andrewcpenn/Library/Mobile Documents/com~apple~CloudDocs/GitHub/statistics-resampling/inst/smoothmad.m + /Users/andrewcpenn/Library/Mobile Documents/com~apple~CloudDocs/GitHub/statistics-resampling/inst/smoothmedian.m + /Users/andrewcpenn/Library/Mobile Documents/com~apple~CloudDocs/GitHub/statistics-resampling/inst/smoothmedian.mexa64 + /Users/andrewcpenn/Library/Mobile Documents/com~apple~CloudDocs/GitHub/statistics-resampling/inst/smoothmedian.mexmaci64 + /Users/andrewcpenn/Library/Mobile Documents/com~apple~CloudDocs/GitHub/statistics-resampling/inst/smoothmedian.mexw32 + /Users/andrewcpenn/Library/Mobile Documents/com~apple~CloudDocs/GitHub/statistics-resampling/inst/smoothmedian.mexw64 - Y:\Documents\GitHub\statistics-resampling\matlab\statistics-resampling.mltbx + /Users/andrewcpenn/Library/Mobile Documents/com~apple~CloudDocs/GitHub/statistics-resampling/matlab/statistics-resampling.mltbx - C:\Program Files (x86)\MATLAB\R2015b - - - - - - true - - + /Applications/MATLAB_R2023b.app + - false - false - true + true + true + false false false false false false - 6.2 - true - false - win32 + 14.2.1 + false + true + maci64 true