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Jessica B. Hamrick 2016-07-14 14:55:58 -05:00
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README.html
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@ -949,7 +949,7 @@ the rows which only contain integers and which sum to n. (★★★)</p>
<span class="keyword">print</span><span class="punctuation">(</span><span class="name">X</span><span class="punctuation">[</span><span class="name">M</span><span class="punctuation">])</span>
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<li><p class="first">Compute bootstrapped 95% confidence intervals for the mean of a 1D array X (i.e., resample the elements of an array with replacement N times, compute the mean of each sample, and then compute percentiles over the means).</p>
<li><p class="first">Compute bootstrapped 95% confidence intervals for the mean of a 1D array X (i.e., resample the elements of an array with replacement N times, compute the mean of each sample, and then compute percentiles over the means). (★★★)</p>
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README.rst
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@ -1107,7 +1107,7 @@ Thanks to Michiaki Ariga, there is now a
M &= (X.sum(axis=-1) == n)
print(X[M])
#. Compute bootstrapped 95% confidence intervals for the mean of a 1D array X (i.e., resample the elements of an array with replacement N times, compute the mean of each sample, and then compute percentiles over the means).
#. Compute bootstrapped 95% confidence intervals for the mean of a 1D array X (i.e., resample the elements of an array with replacement N times, compute the mean of each sample, and then compute percentiles over the means). (★★★)
.. code-block:: python