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Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/stats/base/README.md
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@@ -191,7 +191,7 @@ The namespace contains the following statistical functions:
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- <spanclass="signature">[`smeanors( N, x, stride )`][@stdlib/stats/base/smeanors]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation.</span>
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- <spanclass="signature">[`smeanpn( N, x, stride )`][@stdlib/stats/base/smeanpn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.</span>
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- <spanclass="signature">[`smeanpw( N, x, strideX )`][@stdlib/stats/strided/smeanpw]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation.</span>
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- <spanclass="signature">[`smeanwd( N, x, strideX )`][@stdlib/stats/base/smeanwd]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.</span>
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- <spanclass="signature">[`smeanwd( N, x, strideX )`][@stdlib/stats/strided/smeanwd]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.</span>
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- <spanclass="signature">[`smediansorted( N, x, strideX )`][@stdlib/stats/base/smediansorted]</span><spanclass="delimiter">: </span><spanclass="description">calculate the median value of a sorted single-precision floating-point strided array.</span>
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- <spanclass="signature">[`smidrange( N, x, strideX )`][@stdlib/stats/base/smidrange]</span><spanclass="delimiter">: </span><spanclass="description">calculate the mid-range of a single-precision floating-point strided array.</span>
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- <spanclass="signature">[`smin( N, x, strideX )`][@stdlib/stats/base/smin]</span><spanclass="delimiter">: </span><spanclass="description">calculate the minimum value of a single-precision floating-point strided array.</span>
Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/stats/base/meanwd/README.md
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- If `N <= 0`, both functions return `NaN`.
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- Both functions support array-like objects having getter and setter accessors for array element access (e.g., [`@stdlib/array/base/accessor`][@stdlib/array/base/accessor]).
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- Depending on the environment, the typed versions ([`dmeanwd`][@stdlib/stats/strided/dmeanwd], [`smeanwd`][@stdlib/stats/base/smeanwd], etc.) are likely to be significantly more performant.
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- Depending on the environment, the typed versions ([`dmeanwd`][@stdlib/stats/strided/dmeanwd], [`smeanwd`][@stdlib/stats/strided/smeanwd], etc.) are likely to be significantly more performant.
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</section>
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@@ -181,7 +181,7 @@ console.log( v );
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- <spanclass="package-name">[`@stdlib/stats/strided/dmeanwd`][@stdlib/stats/strided/dmeanwd]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a double-precision floating-point strided array using Welford's algorithm.</span>
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- <spanclass="package-name">[`@stdlib/stats/base/mean`][@stdlib/stats/base/mean]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a strided array.</span>
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- <spanclass="package-name">[`@stdlib/stats/base/nanmeanwd`][@stdlib/stats/base/nanmeanwd]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a strided array, ignoring NaN values and using Welford's algorithm.</span>
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- <spanclass="package-name">[`@stdlib/stats/base/smeanwd`][@stdlib/stats/base/smeanwd]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.</span>
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- <spanclass="package-name">[`@stdlib/stats/strided/smeanwd`][@stdlib/stats/strided/smeanwd]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/dnanmeanwd`][@stdlib/stats/strided/dnanmeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array, using Welford's algorithm and ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/base/nanmeanwd`][@stdlib/stats/base/nanmeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array, ignoring NaN values and using Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/smeanwd`][@stdlib/stats/base/smeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/smeanwd`][@stdlib/stats/strided/smeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/snanmean`][@stdlib/stats/base/snanmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/base/dmean`][@stdlib/stats/base/dmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array.</span>
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- <span class="package-name">[`@stdlib/stats/strided/dnanmeanwd`][@stdlib/stats/strided/dnanmeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array, using Welford's algorithm and ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/base/meanwd`][@stdlib/stats/base/meanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/smeanwd`][@stdlib/stats/base/smeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/smeanwd`][@stdlib/stats/strided/smeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/dsmean`][@stdlib/stats/strided/dsmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.</span>
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- <span class="package-name">[`@stdlib/stats/strided/dsnanmeanwd`][@stdlib/stats/strided/dsnanmeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using Welford's algorithm with extended accumulation, and returning an extended precision result.</span>
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- <span class="package-name">[`@stdlib/stats/base/meanwd`][@stdlib/stats/base/meanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/smeanwd`][@stdlib/stats/base/smeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/smeanwd`][@stdlib/stats/strided/smeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.</span>
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