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Copy file name to clipboardExpand all lines: README.md
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@@ -215,7 +215,7 @@ var v = stdevpn.ndarray( N, 1, x, 2, 1 );
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- If `N <= 0`, both functions return `NaN`.
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- If `N - c` is less than or equal to `0` (where `c` corresponds to the provided degrees of freedom adjustment), both functions return `NaN`.
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- Depending on the environment, the typed versions ([`dstdevpn`][@stdlib/stats/strided/dstdevpn], [`sstdevpn`][@stdlib/stats/base/sstdevpn], etc.) are likely to be significantly more performant.
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- Depending on the environment, the typed versions ([`dstdevpn`][@stdlib/stats/strided/dstdevpn], [`sstdevpn`][@stdlib/stats/strided/sstdevpn], etc.) are likely to be significantly more performant.
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</section>
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@@ -273,7 +273,7 @@ console.log( v );
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- <spanclass="package-name">[`@stdlib/stats-strided/dstdevpn`][@stdlib/stats/strided/dstdevpn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the standard deviation of a double-precision floating-point strided array using a two-pass algorithm.</span>
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- <spanclass="package-name">[`@stdlib/stats-base/nanstdevpn`][@stdlib/stats/base/nanstdevpn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the standard deviation of a strided array ignoring NaN values and using a two-pass algorithm.</span>
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- <spanclass="package-name">[`@stdlib/stats-base/sstdevpn`][@stdlib/stats/base/sstdevpn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the standard deviation of a single-precision floating-point strided array using a two-pass algorithm.</span>
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- <spanclass="package-name">[`@stdlib/stats-strided/sstdevpn`][@stdlib/stats/strided/sstdevpn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the standard deviation of a single-precision floating-point strided array using a two-pass algorithm.</span>
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- <spanclass="package-name">[`@stdlib/stats-base/stdev`][@stdlib/stats/base/stdev]</span><spanclass="delimiter">: </span><spanclass="description">calculate the standard deviation of a strided array.</span>
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- <spanclass="package-name">[`@stdlib/stats-base/variancepn`][@stdlib/stats/base/variancepn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the variance of a strided array using a two-pass algorithm.</span>
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