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 @@

Demonstration 1

Produces the following output

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
+ 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

Demonstration 2

@@ -139,17 +145,23 @@

Demonstration 2

Produces the following output

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
+ 1 2 2 3 + 1 2 2 2 + 1 2 2 2

Demonstration 3

@@ -164,45 +176,63 @@

Demonstration 3

Produces the following output

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
+ 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

Demonstration 4

@@ -217,15 +247,31 @@

Demonstration 4

Produces the following output

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
+ 36 23 + 23 23 + 23 23

Demonstration 5

@@ -240,30 +286,30 @@

Demonstration 5

Produces the following output

ans =
 
-            4
-            2
-            3
-            5
-            4
-            6
-
-ans =
-
-            4
-            3
-            4
-            6
-            6
-            2
-
-ans =
-
-            5
-            6
-            3
-            4
-            1
-            6
+ 4 + 2 + 3 + 5 + 4 + 6 + + ans = + + 4 + 3 + 4 + 6 + 6 + 2 + + ans = + + 5 + 6 + 3 + 4 + 1 + 6

Package: statistics-resampling

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 @@

Demonstration 7

----------------------------------------------------------------------------- | 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 @@

Demonstration 8

----------------------------------------------------------------------------- | 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 @@

Demonstration 1

Posterior Statistics: original bias median stdev CI_lower CI_upper - +184.5 -0.04557 +184.4 1.361 +181.8 +187.2 + +184.5 -0.02210 +184.5 1.240 +182.1 +186.9

Demonstration 2

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

Demonstration 2

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 + +175.5 +0.03532 +175.5 2.384 +171.1 +180.3 + +0.1904 -0.001074 +0.1909 0.07912 +0.04160 +0.3442

Package: statistics-resampling

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 @@

Demonstration 1

Produces the following output

ci =
 
-       23.616
-       34.358
+ 23.616 + 34.358

Demonstration 2

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

Demonstration 2

Produces the following output

ci =
 
-       23.975
-       34.269
+ 23.975 + 34.269

Demonstration 3

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

Demonstration 3

Produces the following output

ci =
 
-        25.04
-       36.477
+ 25.04 + 36.477

Demonstration 4

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

Demonstration 4

Produces the following output

ci =
 
-       96.629
-       235.91
+ 96.629 + 235.91

Demonstration 5

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

Demonstration 5

Produces the following output

ci =
 
-       117.01
-       260.73
+ 117.01 + 260.73

Demonstration 6

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

Demonstration 6

Produces the following output

ci =
 
-       108.55
-       297.71
+ 108.55 + 297.71

Demonstration 7

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

Demonstration 7

Produces the following output

ci =
 
-       111.53
-       268.13
+ 111.53 + 268.13

Demonstration 8

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

Demonstration 8

Produces the following output

ci =
 
-      0.50501
-      0.86333
+ 0.50501 + 0.86333

Demonstration 9

@@ -431,13 +431,13 @@

Demonstration 9

Produces the following output

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
+ -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 841e2a8a..3eeea407 100644 --- a/docs/function/bootclust.html +++ b/docs/function/bootclust.html @@ -114,10 +114,11 @@

bootclust

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 @@

bootclust

'[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 @@

Demonstration 1

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 + +29.65 -3.197e-14 +2.564 +23.43 +34.48

Demonstration 2

@@ -214,11 +219,11 @@

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% (1.1%, 98.7%) Bootstrap Statistics: original bias std_error CI_lower CI_upper - +29.65 -0.03672 +2.929 +22.97 +36.10 + +29.65 -0.02999 +2.920 +22.64 +35.86

Demonstration 3

@@ -247,7 +252,7 @@

Demonstration 3

Bootstrap Statistics: original bias std_error CI_lower CI_upper - +171.5 -6.542 +40.80 +99.57 +234.1 + +171.5 -6.379 +42.98 +96.61 +239.1

Demonstration 4

@@ -277,7 +282,7 @@

Demonstration 4

Bootstrap Statistics: original bias std_error CI_lower CI_upper - +171.5 -8.635 +33.19 +106.3 +215.6 + +171.5 -9.524 +33.03 +106.0 +215.4

Demonstration 5

@@ -301,11 +306,11 @@

Demonstration 5

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 + +171.5 -6.608 +42.24 +117.3 +267.8

Demonstration 6

@@ -330,11 +335,11 @@

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% (12.9%, 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 + +171.5 -9.512 +33.09 +125.0 +231.3

Demonstration 7

@@ -361,8 +366,8 @@

Demonstration 7

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 + +0.3243 +0.02218 +0.2915 -0.1682 +0.7906 + -0.1858 -0.01006 +0.2986 -0.6206 +0.3650

Demonstration 8

@@ -389,8 +394,8 @@

Demonstration 8

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 + -0.5288 -0.01041 +0.09605 -0.6767 -0.3641 + +0.8124 +0.04063 +0.3114 +0.2805 +1.305

Demonstration 9

@@ -417,11 +422,11 @@

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% (1.6%, 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 + +0.7764 -0.02391 +0.1409 +0.4128 +0.9919

Demonstration 10

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 @@

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% (1.4%, 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 + +29.65 -2.842e-14 +2.695 +23.35 +34.56

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% (1.1%, 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 + +29.65 -1.208e-13 +2.797 +22.95 +35.05

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% (1.8%, 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 + +30.86 -0.006010 +2.849 +25.06 +36.65

Demonstration 4

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

Demonstration 4

Bootstrap Statistics: original bias std_error CI_lower CI_upper - +171.5 -6.713 +42.61 +95.98 +235.5 + +171.5 -6.829 +43.16 +95.97 +237.3

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% (12.8%, 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 + +171.5 -7.292 +43.98 +114.3 +272.9

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% (2.8%, 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 + +171.5 -6.601 +45.18 +87.67 +255.0

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% (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 + +171.5 -7.575 +44.09 +115.1 +283.2

Demonstration 8

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

Demonstration 8

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 + -0.01408 -0.001143 +0.2806 -0.4704 +0.4583 + +0.1896 -0.01257 +0.2509 -0.2097 +0.6071

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% (0.4%, 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 + +0.7764 -0.005985 +0.1371 +0.3509 +0.9502

Demonstration 10

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

Demonstration 10

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 + -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

Demonstration 11

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 @@

Demonstration 1

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 @@

Demonstration 1

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 @@

Demonstration 1

name mean CI_lower CI_upper N -------------------------------------------------------------------------------- -male +44.20 +32.66 +53.30 5 -female +55.00 +42.33 +67.73 6 +male +44.20 +32.51 +53.09 5 +female +55.00 +42.72 +68.27 6

and the following figure

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

Demonstration 2

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 @@

Demonstration 2

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 @@

Demonstration 2

name mean CI_lower CI_upper N -------------------------------------------------------------------------------- -before +4.560 +4.124 +5.009 5 -after +6.020 +5.580 +6.478 5 +before +4.560 +4.105 +5.006 5 +after +6.020 +5.561 +6.454 5

and the following figure

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

Demonstration 3

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 @@

Demonstration 3

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 +st +84.00 +82.14 +85.73 8 +al1 +77.00 +74.90 +79.38 6 +al2 +79.00 +77.73 +80.52 6

and the following figure

@@ -790,7 +790,7 @@

Demonstration 4

'dim', 2, 'method', 'bayesian', 'prior', 'auto');

Produces the following output

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 @@ 
Demonstration 4

 
 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 @@ 
Demonstration 4

 
 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
+1 +11.00 +10.63 +11.35 10 +2 +13.00 +12.52 +13.48 10 +5 +14.20 +13.76 +14.66 10

and the following figure

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

Demonstration 5

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 @@

Demonstration 5

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 @@

Demonstration 5

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 @@

Demonstration 5

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 @@

Demonstration 5

name mean CI_lower CI_upper N -------------------------------------------------------------------------------- -oil +4.500 +4.314 +4.685 9 -air +5.500 +5.314 +5.686 9 +oil +4.500 +4.306 +4.675 9 +air +5.500 +5.314 +5.688 9

and the following figure

@@ -1217,21 +1217,21 @@

Demonstration 7

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 @@

Demonstration 15

Produces the following output

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
+ -0.040869 + 0.14602 + 0.16939 + 0.17548 + 0.22783

Package: statistics-resampling

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 @@

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 = 0.001 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
+ 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/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 @@

Demonstration 1

Produces the following output

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
+ 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

Package: statistics-resampling

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 @@

Demonstration 2

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 + +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/images/boot1way_701.png b/docs/function/images/boot1way_701.png index e923177d..0dd85d1f 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 a012b07c..b72941fb 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 831a0840..37e99da8 100644 --- a/docs/function/randtest2.html +++ b/docs/function/randtest2.html @@ -152,9 +152,9 @@

Demonstration 1

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

Produces the following output

-
pval = 0.3586
-pval = 0.2778
-pval = 0.31965
+
pval = 0.3562
+                                    pval = 0.277
+                                    pval = 0.30584

Demonstration 2

@@ -184,8 +184,8 @@

Demonstration 2

Produces the following output

pval = 0.12891
-pval = 0.037109
-pval = 0.51172
+ pval = 0.037109 + pval = 0.51172

Demonstration 3

@@ -207,8 +207,8 @@

Demonstration 3

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

Produces the following output

-
pval = 0.0010532
-pval =   0.2
+
pval = 0.0008
+                                    pval =   0.2

Demonstration 4

@@ -230,8 +230,8 @@

Demonstration 4

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

Produces the following output

-
pval = 0.0014
-pval =  0.25
+
pval = 0.0012
+                                    pval =  0.25

Demonstration 5

@@ -252,7 +252,7 @@

Demonstration 5

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

Produces the following output

-
pval = 0.0758
+
pval = 0.0702

Package: statistics-resampling

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 @@

Demonstration 6

N_corrected = sampszcalc ('t2', STATS_STD.estimate, 0.80, 0.05, 2, DEFF)

Produces the following output

Cohen's d = 1.72
-N =     7
-DEFF = 3.5527
-N_corrected =    23
+ N = 7 + DEFF = 3.5527 + N_corrected = 23

Package: statistics-resampling