From 7b89f6317a6759e8491bf28fbf92df6b0350b581 Mon Sep 17 00:00:00 2001
From: Planeshifter <1913638+Planeshifter@users.noreply.github.com>
Date: Sat, 4 Jan 2025 02:57:16 +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 | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/lib/node_modules/@stdlib/stats/base/README.md b/lib/node_modules/@stdlib/stats/base/README.md
index b0fb0ebfb3f8..4c24763dbda5 100644
--- a/lib/node_modules/@stdlib/stats/base/README.md
+++ b/lib/node_modules/@stdlib/stats/base/README.md
@@ -96,7 +96,7 @@ The namespace contains the following statistical functions:
- [`dnanmeanors( N, x, stride )`][@stdlib/stats/base/dnanmeanors]: calculate the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation.
- [`dnanmeanpn( N, x, stride )`][@stdlib/stats/base/dnanmeanpn]: calculate the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using a two-pass error correction algorithm.
- [`dnanmeanpw( N, x, stride )`][@stdlib/stats/base/dnanmeanpw]: calculate the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using pairwise summation.
-- [`dnanmeanwd( N, x, stride )`][@stdlib/stats/base/dnanmeanwd]: calculate the arithmetic mean of a double-precision floating-point strided array, using Welford's algorithm and ignoring `NaN` values.
+- [`dnanmeanwd( N, x, strideX )`][@stdlib/stats/base/dnanmeanwd]: calculate the arithmetic mean of a double-precision floating-point strided array, using Welford's algorithm and ignoring `NaN` values.
- [`dnanmin( N, x, strideX )`][@stdlib/stats/base/dnanmin]: calculate the minimum value of a double-precision floating-point strided array, ignoring `NaN` values.
- [`dnanminabs( N, x, strideX )`][@stdlib/stats/base/dnanminabs]: calculate the minimum absolute value of a double-precision floating-point strided array, ignoring `NaN` values.
- [`dnanmskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/dnanmskmax]: calculate the maximum value of a double-precision floating-point strided array according to a mask, ignoring `NaN` values.
@@ -217,11 +217,11 @@ The namespace contains the following statistical functions:
- [`smeanpn( N, x, stride )`][@stdlib/stats/base/smeanpn]: calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.
- [`smeanpw( N, x, stride )`][@stdlib/stats/base/smeanpw]: calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation.
- [`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.
+- [`smediansorted( N, x, strideX )`][@stdlib/stats/base/smediansorted]: calculate the median value of a sorted single-precision floating-point strided array.
- [`smidrange( N, x, strideX )`][@stdlib/stats/base/smidrange]: calculate the mid-range 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.
+- [`sminsorted( N, x, strideX )`][@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.