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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">[`snanmean( N, x, stride )`][@stdlib/stats/base/snanmean]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values.</span>
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- <spanclass="signature">[`snanmskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/snanmskmax]</span><spanclass="delimiter">: </span><spanclass="description">calculate the maximum value of a single-precision floating-point strided array according to a mask, ignoring `NaN` values.</span>
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- <spanclass="signature">[`snanmskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/snanmskmin]</span><spanclass="delimiter">: </span><spanclass="description">calculate the minimum value of a single-precision floating-point strided array according to a mask, ignoring `NaN` values.</span>
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- <spanclass="signature">[`snanmskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/snanmskrange]</span><spanclass="delimiter">: </span><spanclass="description">calculate the range of a single-precision floating-point strided array according to a mask, ignoring `NaN` values.</span>
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- <spanclass="signature">[`snanmskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/snanmskrange]</span><spanclass="delimiter">: </span><spanclass="description">calculate the range of a single-precision floating-point strided array according to a mask, ignoring `NaN` values.</span>
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- <spanclass="signature">[`snanstdev( N, correction, x, stride )`][@stdlib/stats/base/snanstdev]</span><spanclass="delimiter">: </span><spanclass="description">calculate the standard deviation of a single-precision floating-point strided array ignoring `NaN` values.</span>
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- <spanclass="signature">[`snanstdevch( N, correction, x, stride )`][@stdlib/stats/base/snanstdevch]</span><spanclass="delimiter">: </span><spanclass="description">calculate the standard deviation of a single-precision floating-point strided array ignoring `NaN` values and using a one-pass trial mean algorithm.</span>
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- <spanclass="signature">[`snanstdevpn( N, correction, x, stride )`][@stdlib/stats/base/snanstdevpn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the standard deviation of a single-precision floating-point strided array ignoring `NaN` values and using a two-pass algorithm.</span>
Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/stats/base/nanmskrange/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 ([`dnanmskrange`][@stdlib/stats/strided/dnanmskrange], [`snanmskrange`][@stdlib/stats/base/snanmskrange], etc.) are likely to be significantly more performant.
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- Depending on the environment, the typed versions ([`dnanmskrange`][@stdlib/stats/strided/dnanmskrange], [`snanmskrange`][@stdlib/stats/strided/snanmskrange], etc.) are likely to be significantly more performant.
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</section>
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@@ -171,7 +171,7 @@ console.log( v );
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- <spanclass="package-name">[`@stdlib/stats/base/nanrange`][@stdlib/stats/base/nanrange]</span><spanclass="delimiter">: </span><spanclass="description">calculate the range of a strided array, ignoring NaN values.</span>
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- <spanclass="package-name">[`@stdlib/stats/base/nanmskmax`][@stdlib/stats/base/nanmskmax]</span><spanclass="delimiter">: </span><spanclass="description">calculate the maximum value of a strided array according to a mask, ignoring NaN values.</span>
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- <spanclass="package-name">[`@stdlib/stats/base/nanmskmin`][@stdlib/stats/base/nanmskmin]</span><spanclass="delimiter">: </span><spanclass="description">calculate the minimum value of a strided array according to a mask, ignoring NaN values.</span>
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- <spanclass="package-name">[`@stdlib/stats/base/snanmskrange`][@stdlib/stats/base/snanmskrange]</span><spanclass="delimiter">: </span><spanclass="description">calculate the range of a single-precision floating-point strided array according to a mask, ignoring NaN values.</span>
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- <spanclass="package-name">[`@stdlib/stats/strided/snanmskrange`][@stdlib/stats/strided/snanmskrange]</span><spanclass="delimiter">: </span><spanclass="description">calculate the range of a single-precision floating-point strided array according to a mask, ignoring NaN values.</span>
Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/stats/strided/dnanmskrange/README.md
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- <span class="package-name">[`@stdlib/stats/strided/dnanmskmax`][@stdlib/stats/strided/dnanmskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a double-precision floating-point strided array according to a mask, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/strided/dnanmskmin`][@stdlib/stats/strided/dnanmskmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a double-precision floating-point strided array according to a mask, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/base/nanmskrange`][@stdlib/stats/base/nanmskrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a strided array according to a mask, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/base/snanmskrange`][@stdlib/stats/base/snanmskrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a single-precision floating-point strided array according to a mask, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/strided/snanmskrange`][@stdlib/stats/strided/snanmskrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a single-precision floating-point strided array according to a mask, ignoring NaN values.</span>
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