From 26a860a523da81c51764cf3f3db19bf5629ed691 Mon Sep 17 00:00:00 2001
From: Planeshifter <1913638+Planeshifter@users.noreply.github.com>
Date: Sat, 28 Dec 2024 02:55:59 +0000
Subject: [PATCH] docs: update namespace table of contents
Signed-off-by: stdlib-bot <82920195+stdlib-bot@users.noreply.github.com>
---
lib/node_modules/@stdlib/stats/base/README.md | 12 ++++++------
1 file changed, 6 insertions(+), 6 deletions(-)
diff --git a/lib/node_modules/@stdlib/stats/base/README.md b/lib/node_modules/@stdlib/stats/base/README.md
index 11cf63ff5c23..4eb493e97c01 100644
--- a/lib/node_modules/@stdlib/stats/base/README.md
+++ b/lib/node_modules/@stdlib/stats/base/README.md
@@ -66,7 +66,7 @@ The namespace contains the following statistical functions:
- [`dcumin( N, x, strideX, y, strideY )`][@stdlib/stats/base/dcumin]: calculate the cumulative minimum of double-precision floating-point strided array elements.
- [`dcuminabs( N, x, strideX, y, strideY )`][@stdlib/stats/base/dcuminabs]: calculate the cumulative minimum absolute value of double-precision floating-point strided array elements.
- [`dmax( N, x, strideX )`][@stdlib/stats/base/dmax]: calculate the maximum value of a double-precision floating-point strided array.
-- [`dmaxabs( N, x, stride )`][@stdlib/stats/base/dmaxabs]: calculate the maximum absolute value of a double-precision floating-point strided array.
+- [`dmaxabs( N, x, strideX )`][@stdlib/stats/base/dmaxabs]: calculate the maximum absolute value of a double-precision floating-point strided array.
- [`dmaxabssorted( N, x, stride )`][@stdlib/stats/base/dmaxabssorted]: calculate the maximum absolute value of a sorted double-precision floating-point strided array.
- [`dmaxsorted( N, x, stride )`][@stdlib/stats/base/dmaxsorted]: calculate the maximum value of a sorted double-precision floating-point strided array.
- [`dmean( N, x, stride )`][@stdlib/stats/base/dmean]: calculate the arithmetic mean of a double-precision floating-point strided array.
@@ -219,19 +219,19 @@ The namespace contains the following statistical functions:
- [`smeanwd( N, x, stride )`][@stdlib/stats/base/smeanwd]: calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.
- [`smediansorted( N, x, stride )`][@stdlib/stats/base/smediansorted]: calculate the median value of a sorted single-precision floating-point strided array.
- [`smidrange( N, x, stride )`][@stdlib/stats/base/smidrange]: calculate the mid-range of a single-precision floating-point strided array.
-- [`smin( N, x, stride )`][@stdlib/stats/base/smin]: calculate the minimum value of a single-precision floating-point strided array.
-- [`sminabs( N, x, stride )`][@stdlib/stats/base/sminabs]: calculate the minimum absolute value of a single-precision floating-point strided array.
+- [`smin( N, x, strideX )`][@stdlib/stats/base/smin]: calculate the minimum value of a single-precision floating-point strided array.
+- [`sminabs( N, x, strideX )`][@stdlib/stats/base/sminabs]: calculate the minimum absolute value of a single-precision floating-point strided array.
- [`sminsorted( N, x, stride )`][@stdlib/stats/base/sminsorted]: calculate the minimum value of a sorted single-precision floating-point strided array.
- [`smskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/smskmax]: calculate the maximum value of a single-precision floating-point strided array according to a mask.
- [`smskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/smskmin]: calculate the minimum value of a single-precision floating-point strided array according to a mask.
- [`smskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/smskrange]: calculate the range of a single-precision floating-point strided array according to a mask.
-- [`snanmax( N, x, stride )`][@stdlib/stats/base/snanmax]: calculate the maximum value of a single-precision floating-point strided array, ignoring `NaN` values.
+- [`snanmax( N, x, strideX )`][@stdlib/stats/base/snanmax]: calculate the maximum value of a single-precision floating-point strided array, ignoring `NaN` values.
- [`snanmaxabs( N, x, stride )`][@stdlib/stats/base/snanmaxabs]: calculate the maximum absolute value of a single-precision floating-point strided array, ignoring `NaN` values.
- [`snanmean( N, x, stride )`][@stdlib/stats/base/snanmean]: calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values.
- [`snanmeanors( N, x, stride )`][@stdlib/stats/base/snanmeanors]: calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation.
- [`snanmeanpn( N, x, stride )`][@stdlib/stats/base/snanmeanpn]: calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using a two-pass error correction algorithm.
- [`snanmeanwd( N, x, stride )`][@stdlib/stats/base/snanmeanwd]: calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using Welford's algorithm.
-- [`snanmin( N, x, stride )`][@stdlib/stats/base/snanmin]: calculate the minimum value of a single-precision floating-point strided array, ignoring `NaN` values.
+- [`snanmin( N, x, strideX )`][@stdlib/stats/base/snanmin]: calculate the minimum value of a single-precision floating-point strided array, ignoring `NaN` values.
- [`snanminabs( N, x, stride )`][@stdlib/stats/base/snanminabs]: calculate the minimum absolute value of a single-precision floating-point strided array, ignoring `NaN` values.
- [`snanmskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/snanmskmax]: calculate the maximum value of a single-precision floating-point strided array according to a mask, ignoring `NaN` values.
- [`snanmskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/snanmskmin]: calculate the minimum value of a single-precision floating-point strided array according to a mask, ignoring `NaN` values.
@@ -249,7 +249,7 @@ The namespace contains the following statistical functions:
- [`snanvariancetk( N, correction, x, stride )`][@stdlib/stats/base/snanvariancetk]: calculate the variance of a single-precision floating-point strided array ignoring `NaN` values and using a one-pass textbook algorithm.
- [`snanvariancewd( N, correction, x, stride )`][@stdlib/stats/base/snanvariancewd]: calculate the variance of a single-precision floating-point strided array ignoring `NaN` values and using Welford's algorithm.
- [`snanvarianceyc( N, correction, x, stride )`][@stdlib/stats/base/snanvarianceyc]: calculate the variance of a single-precision floating-point strided array ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer.
-- [`srange( N, x, stride )`][@stdlib/stats/base/srange]: calculate the range of a single-precision floating-point strided array.
+- [`srange( N, x, strideX )`][@stdlib/stats/base/srange]: calculate the range of a single-precision floating-point strided array.
- [`sstdev( N, correction, x, stride )`][@stdlib/stats/base/sstdev]: calculate the standard deviation of a single-precision floating-point strided array.
- [`sstdevch( N, correction, x, stride )`][@stdlib/stats/base/sstdevch]: calculate the standard deviation of a single-precision floating-point strided array using a one-pass trial mean algorithm.
- [`sstdevpn( N, correction, x, stride )`][@stdlib/stats/base/sstdevpn]: calculate the standard deviation of a single-precision floating-point strided array using a two-pass algorithm.