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update online manual
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‎docs/copying.html

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‎docs/description.json

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{
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"generator": "generate_html",
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"name": "statistics-resampling",

‎docs/function/boot.html

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‎docs/function/boot1way.html

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-----------------------------------------------------------------------------
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| Comparison | Test # | Ref # | Difference | t | p |
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|------------|------------|------------|------------|------------|----------|
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| 1 | 2 | 1 | -0.3605 | -0.88 | .291 |
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| 1 | 2 | 1 | +1.067 | +3.09 | .021 |*
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-----------------------------------------------------------------------------
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| GROUP # | GROUP label | N |
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-----------------------------------------------------------------------------
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| Comparison | Test # | Ref # | Difference | t | p |
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|------------|------------|------------|------------|------------|----------|
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| 1 | 2 | 1 | -0.3714 | -0.88 | .291 |
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| 1 | 2 | 1 | +0.1715 | +0.21 | .748 |
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-----------------------------------------------------------------------------
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| GROUP # | GROUP label | N |

‎docs/function/bootbayes.html

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Posterior Statistics:
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original bias median stdev CI_lower CI_upper
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+184.5 +0.007563 +184.5 1.284 +182.2 +187.2</pre>
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+184.5 -0.02210 +184.5 1.240 +182.1 +186.9</pre>
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</div>
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<h3><a name="2">Demonstration 2</a></h3>
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Posterior Statistics:
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original bias median stdev CI_lower CI_upper
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+175.5 -0.005919 +175.5 2.386 +170.7 +179.9
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+0.1904 -0.001192 +0.1906 0.08004 +0.04064 +0.3455</pre>
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+175.5 +0.03532 +175.5 2.384 +171.1 +180.3
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+0.1904 -0.001074 +0.1909 0.07912 +0.04160 +0.3442</pre>
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<p>Package: <a href="../index.html">statistics-resampling</a></p>

‎docs/function/bootcdf.html

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‎docs/function/bootci.html

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<p>Produces the following output</p>
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<pre class="example">ci =
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-0.19366 -0.68109
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0.75823 0.52317</pre>
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-0.45447 -0.66135
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0.34586 0.24706</pre>
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<h3><a name="11">Demonstration 11</a></h3>

‎docs/function/bootclust.html

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Bootstrap Statistics:
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original bias std_error CI_lower CI_upper
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+0.7213 +0.008818 +0.1659 +0.4508 +0.9975
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-0.08060 -0.01384 +0.1462 -0.3138 +0.1548</pre>
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-0.1112 -0.001534 +0.1982 -0.4177 +0.2349
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+0.3024 +0.007410 +0.1338 +0.1152 +0.5520</pre>
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<h3><a name="8">Demonstration 8</a></h3>
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Bootstrap Statistics:
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original bias std_error CI_lower CI_upper
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-0.2895 +0.05789 +0.2239 -0.6500 +0.05619
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+0.1578 -0.03429 +0.3270 -0.4951 +0.6020</pre>
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-0.2780 -0.02493 +0.1903 -0.5665 +0.06149
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-0.09247 +0.003227 +0.1476 -0.3360 +0.1274</pre>
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<h3><a name="9">Demonstration 9</a></h3>

‎docs/function/bootint.html

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‎docs/function/bootknife.html

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Bootstrap Statistics:
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original bias std_error CI_lower CI_upper
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+0.01723 -0.02296 +0.2378 -0.3289 +0.4718
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-0.05562 -0.03788 +0.2238 -0.4379 +0.2567</pre>
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+0.1990 -0.008914 +0.1828 -0.09050 +0.5090
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-0.1568 +0.01470 +0.1841 -0.4362 +0.1537</pre>
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<h3><a name="9">Demonstration 9</a></h3>

‎docs/function/bootlm.html

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‎docs/function/bootmode.html

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<p>Produces the following output</p>
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<pre class="example">ans = Summary of results:
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ans = H1 is 1 with p = 0 so reject the null hypothesisthat there is 1 mode
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ans = H1 is 1 with p = 0.0005 so reject the null hypothesisthat there is 1 mode
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ans = H2 is 0 with p = 0.334 so accept the null hypothesis that there are 2 modes</pre>
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<p>Package: <a href="../index.html">statistics-resampling</a></p>

‎docs/function/bootstrp.html

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‎docs/function/bootwild.html

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‎docs/function/credint.html

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‎docs/function/randtest.html

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‎docs/function/randtest1.html

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‎docs/function/sampszcalc.html

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't2' (default) : two-sample unpaired t-test
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't2' : two-sample unpaired t-test
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't' : paired t-test or one-sample t-test
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't' : paired t-test or one-sample t-test
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'z2' (default) : two-sample unpaired z-test (Normal approximation)
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'z2' : two-sample unpaired z-test (Normal approximation)
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'z' : paired z-test or one-sample z-test (Normal approximation)
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'z' : paired z-test or one-sample z-test (Normal approximation)
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'r' : significance test for correlation
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'r' : significance test for correlation
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EFFSZ can be numeric value corresponding to the standardized effect
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size: Cohen's d or h (when TESTTYPE is 't2', 't', 'z' or 'z'), or
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Pearson's correlation coefficient (when TESTTYPE is 'r'). For
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convenience, EFFSZ can also be one of the following strings:
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'small' : which is 0.2 for Cohen's d (or h), or 0.1 for Pearson's r.
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'medium' : which is 0.5 for Cohen's d (or h), or 0.3 for Pearson's r.
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'large' : which is 0.8 for Cohen's d (or h), or 0.5 for Pearson's r.
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‎docs/function/smoothmad.html

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