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Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/stats/base/README.md
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- <spanclass="signature">[`cumaxabs( N, x, strideX, y, strideY )`][@stdlib/stats/base/cumaxabs]</span><spanclass="delimiter">: </span><spanclass="description">calculate the cumulative maximum absolute value of a strided array.</span>
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- <spanclass="signature">[`cumin( N, x, strideX, y, strideY )`][@stdlib/stats/base/cumin]</span><spanclass="delimiter">: </span><spanclass="description">calculate the cumulative minimum of a strided array.</span>
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- <spanclass="signature">[`cuminabs( N, x, strideX, y, strideY )`][@stdlib/stats/base/cuminabs]</span><spanclass="delimiter">: </span><spanclass="description">calculate the cumulative minimum absolute value of a strided array.</span>
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- <spanclass="signature">[`dmeanpn( N, x, strideX )`][@stdlib/stats/base/dmeanpn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm.</span>
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- <spanclass="signature">[`dmeanpn( N, x, strideX )`][@stdlib/stats/strided/dmeanpn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm.</span>
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- <spanclass="signature">[`dmeanstdev( N, correction, x, strideX, out, strideOut )`][@stdlib/stats/base/dmeanstdev]</span><spanclass="delimiter">: </span><spanclass="description">calculate the mean and standard deviation of a double-precision floating-point strided array.</span>
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- <spanclass="signature">[`dmeanstdevpn( N, correction, x, strideX, out, strideOut )`][@stdlib/stats/base/dmeanstdevpn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the mean and standard deviation of a double-precision floating-point strided array using a two-pass algorithm.</span>
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- <spanclass="signature">[`dmeanvar( N, correction, x, strideX, out, strideOut )`][@stdlib/stats/base/dmeanvar]</span><spanclass="delimiter">: </span><spanclass="description">calculate the mean and variance of a double-precision floating-point strided array.</span>
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## See Also
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- <spanclass="package-name">[`@stdlib/stats/base/dmeanpn`][@stdlib/stats/base/dmeanpn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm.</span>
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- <spanclass="package-name">[`@stdlib/stats/strided/dmeanpn`][@stdlib/stats/strided/dmeanpn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm.</span>
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- <spanclass="package-name">[`@stdlib/stats/base/dmeanstdev`][@stdlib/stats/base/dmeanstdev]</span><spanclass="delimiter">: </span><spanclass="description">calculate the mean and standard deviation of a double-precision floating-point strided array.</span>
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- <spanclass="package-name">[`@stdlib/stats/base/dmeanvarpn`][@stdlib/stats/base/dmeanvarpn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm.</span>
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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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## See Also
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- <span class="package-name">[`@stdlib/stats/base/dmeanpn`][@stdlib/stats/base/dmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/dmeanpn`][@stdlib/stats/strided/dmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/dmeanstdevpn`][@stdlib/stats/base/dmeanstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the mean and standard deviation of a double-precision floating-point strided array using a two-pass algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/dmeanvar`][@stdlib/stats/base/dmeanvar]</span><span class="delimiter">: </span><span class="description">calculate the mean and variance of a double-precision floating-point strided array.</span>
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- <span class="package-name">[`@stdlib/stats/strided/dvariancepn`][@stdlib/stats/strided/dvariancepn]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array using a two-pass algorithm.</span>
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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 ([`dmeanpn`][@stdlib/stats/base/dmeanpn], [`smeanpn`][@stdlib/stats/base/smeanpn], etc.) are likely to be significantly more performant.
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- Depending on the environment, the typed versions ([`dmeanpn`][@stdlib/stats/strided/dmeanpn], [`smeanpn`][@stdlib/stats/base/smeanpn], etc.) are likely to be significantly more performant.
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</section>
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## See Also
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- <spanclass="package-name">[`@stdlib/stats/base/dmeanpn`][@stdlib/stats/base/dmeanpn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm.</span>
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- <spanclass="package-name">[`@stdlib/stats/strided/dmeanpn`][@stdlib/stats/strided/dmeanpn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction 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/nanmeanpn`][@stdlib/stats/base/nanmeanpn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a strided array, ignoring NaN values and using a two-pass error correction algorithm.</span>
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- <spanclass="package-name">[`@stdlib/stats/base/smeanpn`][@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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## See Also
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- <span class="package-name">[`@stdlib/stats/base/dmeanpn`][@stdlib/stats/base/dmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/dmeanpn`][@stdlib/stats/strided/dmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/meanpn`][@stdlib/stats/base/meanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using a two-pass error correction algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/smean`][@stdlib/stats/base/smean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array.</span>
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- <span class="package-name">[`@stdlib/stats/strided/snanmeanpn`][@stdlib/stats/strided/snanmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.</span>
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