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kgryte merged 1 commit into from
Jan 5, 2026
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docs: remove duplicate words in documentation and comments #9555

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2 changes: 1 addition & 1 deletion lib/node_modules/@stdlib/repl/info/data/data.csv
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Expand Up @@ -2564,7 +2564,7 @@ base.wrap,"\nbase.wrap( v:number, min:number, max:number )\n Wraps a value to
base.xlog1py,"\nbase.xlog1py( x:number, y:number )\n Computes `x * ln(y+1)` so that the result is `0` if `x = 0`.\n"
base.xlogy,"\nbase.xlogy( x:number, y:number )\n Computes `x * ln(y)` so that the result is `0` if `x = 0`.\n"
base.zeta,"\nbase.zeta( s:number )\n Evaluates the Riemann zeta function as a function of a real variable `s`.\n"
BERNDT_CPS_WAGES_1985,"\nBERNDT_CPS_WAGES_1985()\n Returns a random sample of 534 workers from the Current Population Survey\n (CPS) from 1985, including their wages and and other characteristics.\n"
BERNDT_CPS_WAGES_1985,"\nBERNDT_CPS_WAGES_1985()\n Returns a random sample of 534 workers from the Current Population Survey\n (CPS) from 1985, including their wages and other characteristics.\n"
bifurcate,"\nbifurcate( collection:Array|TypedArray|Object, [options:Object,] \n filter:Array|TypedArray|Object )\n Splits values into two groups.\n"
bifurcateBy,"\nbifurcateBy( collection:Array|TypedArray|Object, [options:Object,] \n predicate:Function )\n Splits values into two groups according to a predicate function.\n"
bifurcateByAsync,"\nbifurcateByAsync( collection:Array|TypedArray|Object, [options:Object,] \n predicate:Function, done:Function )\n Splits values into two groups according to a predicate function.\n"
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2 changes: 1 addition & 1 deletion lib/node_modules/@stdlib/stats/base/dists/arcsine/mode/README.md
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Expand Up @@ -26,7 +26,7 @@ limitations under the License.

<section class="intro">

The [mode][mode] for an [arcsine][arcsine-distribution] random variable with with minimum support `a` and maximum support `b` is
The [mode][mode] for an [arcsine][arcsine-distribution] random variable with minimum support `a` and maximum support `b` is

<!-- <equation class="equation" label="eq:arcsine_mode" align="center" raw="\operatorname{mode}\left( X \right) = \{ a, b \}" alt="Mode for an arcsine distribution."> -->

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2 changes: 1 addition & 1 deletion lib/node_modules/@stdlib/stats/base/dists/arcsine/skewness/README.md
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Expand Up @@ -26,7 +26,7 @@ limitations under the License.

<section class="intro">

The [skewness][skewness] for an [arcsine][arcsine-distribution] random variable with with minimum support `a` and maximum support `b` is
The [skewness][skewness] for an [arcsine][arcsine-distribution] random variable with minimum support `a` and maximum support `b` is

<!-- <equation class="equation" label="eq:arcsine_skewness" align="center" raw="\operatorname{skew}\left( X \right) = 0" alt="Skewness for an arcsine distribution."> -->

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2 changes: 1 addition & 1 deletion lib/node_modules/@stdlib/stats/base/dists/discrete-uniform/ctor/lib/main.js
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Expand Up @@ -56,7 +56,7 @@ function discreteUniformCDF( x ) {
}

/**
* Evaluates the the natural logarithm of the cumulative distribution function (logCDF).
* Evaluates the natural logarithm of the cumulative distribution function (logCDF).
*
* @private
* @param {number} x - input value
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2 changes: 1 addition & 1 deletion lib/node_modules/@stdlib/stats/base/dists/uniform/ctor/lib/main.js
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Expand Up @@ -57,7 +57,7 @@ function uniformCDF( x ) {
}

/**
* Evaluates the the natural logarithm of the cumulative distribution function (logCDF).
* Evaluates the natural logarithm of the cumulative distribution function (logCDF).
*
* @private
* @param {number} x - input value
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