Auto-generated commit

code-blocks/data/data.csv

@@ -15,6 +15,7 @@ alias2related,"var v = alias2related( 'base.sin' )\n"
 alias2standalone,"var v = alias2standalone( 'base.sin' )\n"
 aliases,"var o = aliases()\no = aliases( '@stdlib/math/base/special' )\n"
 allocUnsafe,"var buf = allocUnsafe( 100 )\n"
+amskfilter,"var x = [ 1, 2, 3, 4 ];\nvar y = amskfilter( x, [ 0, 1, 0, 1 ] )\n"
 anans,"var arr = anans( 2 )\narr = anans( 2, 'float32' )\n"
 anansLike,"var x = new Float64Array( 2 );\nvar y = anansLike( x )\ny = anansLike( x, 'float32' )\n"
 anova1,"var x = [1, 3, 5, 2, 4, 6, 8, 7, 10, 11, 12, 15];\nvar f = [\n 'control', 'treatA', 'treatB', 'treatC', 'control',\n 'treatA', 'treatB', 'treatC', 'control', 'treatA', 'treatB', 'treatC'\n ];\nvar out = anova1( x, f )\n"

help/data/data.csv

@@ -16,6 +16,7 @@ alias2standalone,"\nalias2standalone( alias )\n    Returns the standalone packag
 aliases,"\naliases( [namespace] )\n    Returns a list of standard library aliases.\n\n    Parameters\n    ----------\n    namespace: string (optional)\n        Namespace filter.\n\n    Returns\n    -------\n    out: Array\n        List of aliases.\n\n    Examples\n    --------\n    > var o = aliases()\n    [...]\n    > o = aliases( '@stdlib/math/base/special' )\n    [...]\n\n    See Also\n    --------\n    alias2pkg, alias2related, pkg2alias\n"
 allocUnsafe,"\nallocUnsafe( size )\n    Allocates a buffer having a specified number of bytes.\n\n    The underlying memory of returned buffers is not initialized. Memory\n    contents are unknown and may contain sensitive data.\n\n    When the size is less than half a buffer pool size, memory is allocated from\n    the buffer pool for faster allocation of Buffer instances.\n\n    Parameters\n    ----------\n    size: integer\n        Number of bytes to allocate.\n\n    Returns\n    -------\n    out: Buffer\n        Buffer instance.\n\n    Examples\n    --------\n    > var buf = allocUnsafe( 100 )\n    <Buffer>\n\n    See Also\n    --------\n    Buffer, array2buffer, arraybuffer2buffer, copyBuffer, string2buffer\n"
 amskfilter,"\namskfilter( x, mask )\n    Returns a new array by applying a mask to a provided input array.\n\n    If a mask array element is truthy, the corresponding element in `x` is\n    included in the output array; otherwise, the corresponding element in `x` is\n    \"masked\" and thus excluded from the output array.\n\n    Parameters\n    ----------\n    x: Array|TypedArray|Object\n        Input array.\n\n    mask: Array|TypedArray|Object\n        Mask array.\n\n    Returns\n    -------\n    out: Array|TypedArray|Object\n        Output array.\n\n    Examples\n    --------\n    > var x = [ 1, 2, 3, 4 ];\n    > var y = amskfilter( x, [ 0, 1, 0, 1 ] )\n    [ 2, 4 ]\n\n"
+amskreject,"\namskreject( x, mask )\n    Returns a new array by applying a mask to a provided input array.\n\n    If a mask array element is falsy, the corresponding element in `x` is\n    included in the output array; otherwise, the corresponding element in `x` is\n    \"masked\" and thus excluded from the output array.\n\n    Parameters\n    ----------\n    x: Array|TypedArray|Object\n        Input array.\n\n    mask: Array|TypedArray|Object\n        Mask array.\n\n    Returns\n    -------\n    out: Array|TypedArray|Object\n        Output array.\n\n    Examples\n    --------\n    > var x = [ 1, 2, 3, 4 ];\n    > var y = amskreject( x, [ 0, 1, 0, 1 ] )\n    [ 1, 3 ]\n\n    See Also\n    --------\n    amskfilter\n"
 anans,"\nanans( length[, dtype] )\n    Returns an array filled with NaNs and having a specified length.\n\n    The function supports the following data types:\n\n    - float64: double-precision floating-point numbers (IEEE 754)\n    - float32: single-precision floating-point numbers (IEEE 754)\n    - complex128: double-precision complex floating-point numbers\n    - complex64: single-precision complex floating-point numbers\n    - generic: generic JavaScript values\n\n    The default array data type is `float64`.\n\n    Parameters\n    ----------\n    length: integer\n        Array length.\n\n    dtype: string (optional)\n        Data type. Default: 'float64'.\n\n    Returns\n    -------\n    out: TypedArray|Array\n        Output array.\n\n    Examples\n    --------\n    > var arr = anans( 2 )\n    <Float64Array>[ NaN, NaN ]\n    > arr = anans( 2, 'float32' )\n    <Float32Array>[ NaN, NaN ]\n\n    See Also\n    --------\n    afull, anansLike, aones, azeros\n"
 anansLike,"\nanansLike( x[, dtype] )\n    Returns an array filled with NaNs and having the same length and data type\n    as a provided input array.\n\n    The function supports the following data types:\n\n    - float64: double-precision floating-point numbers (IEEE 754)\n    - float32: single-precision floating-point numbers (IEEE 754)\n    - complex128: double-precision complex floating-point numbers\n    - complex64: single-precision complex floating-point numbers\n    - generic: generic JavaScript values\n\n    Parameters\n    ----------\n    x: TypedArray|Array\n        Input array.\n\n    dtype: string (optional)\n        Data type. If not provided, the output array data type is inferred from\n        the input array.\n\n    Returns\n    -------\n    out: TypedArray|Array\n        Output array.\n\n    Examples\n    --------\n    > var x = new Float64Array( 2 );\n    > var y = anansLike( x )\n    <Float64Array>[ NaN, NaN ]\n    > y = anansLike( x, 'float32' )\n    <Float32Array>[ NaN, NaN ]\n\n    See Also\n    --------\n    afullLike, anans, aonesLike, azerosLike\n"
 anova1,"\nanova1( x, factor[, options] )\n    Performs a one-way analysis of variance.\n\n    Parameters\n    ----------\n    x: Array<number>\n        Measured values.\n\n    factor: Array\n        Array of treatments.\n\n    options: Object (optional)\n        Options.\n\n    options.alpha: number (optional)\n        Number in the interval `[0,1]` giving the significance level of the\n        hypothesis test. Default: `0.05`.\n\n    Returns\n    -------\n    out: Object\n        Test result object.\n\n    out.alpha: number\n        Significance level.\n\n    out.rejected: boolean\n        Test decision.\n\n    out.pValue: number\n        p-value of the test.\n\n    out.statistic: number\n        Value of test statistic.\n\n    out.method: string\n        Name of test.\n\n    out.means: Object\n        Group means alongside sample sizes and standard errors.\n\n    out.treatment: Object\n        Treatment results.\n\n    out.treatment.df: number\n        Treatment degrees of freedom.\n\n    out.treatment.ss: number\n        Treatment sum of squares.\n\n    out.treatment.ms: number\n        Treatment mean sum of squares.\n\n    out.error: Object\n        Error results.\n\n    out.error.df: number\n        Error degrees of freedom.\n\n    out.error.ss: number\n        Error sum of squares.\n\n    out.error.ms: number\n        Error mean sum of squares.\n\n    out.print: Function\n        Function to print formatted output.\n\n    Examples\n    --------\n    > var x = [1, 3, 5, 2, 4, 6, 8, 7, 10, 11, 12, 15];\n    > var f = [\n    ... 'control', 'treatA', 'treatB', 'treatC', 'control',\n    ... 'treatA', 'treatB', 'treatC', 'control', 'treatA', 'treatB', 'treatC'\n    ... ];\n    > var out = anova1( x, f )\n    {...}\n\n"

info/data/data.csv

@@ -15,6 +15,7 @@ alias2related,"\nalias2related( alias:string )\n    Returns aliases related to a
 alias2standalone,"\nalias2standalone( alias:string )\n    Returns the standalone package name associated with a provided alias.\n"
 aliases,"\naliases( [namespace:string] )\n    Returns a list of standard library aliases.\n"
 allocUnsafe,"\nallocUnsafe( size:integer )\n    Allocates a buffer having a specified number of bytes.\n"
+amskfilter,"\namskfilter( x:Array|TypedArray|Object, mask:Array|TypedArray|Object )\n    Returns a new array by applying a mask to a provided input array.\n"
 anans,"\nanans( length:integer[, dtype:string] )\n    Returns an array filled with NaNs and having a specified length.\n"
 anansLike,"\nanansLike( x:TypedArray|Array[, dtype:string] )\n    Returns an array filled with NaNs and having the same length and data type\n    as a provided input array.\n"
 anova1,"\nanova1( x:Array<number>, factor:Array[, options:Object] )\n    Performs a one-way analysis of variance.\n"

signature/data/data.csv

@@ -15,6 +15,7 @@ alias2related,"alias2related( alias )"
 alias2standalone,"alias2standalone( alias )"
 aliases,"aliases( [namespace] )"
 allocUnsafe,"allocUnsafe( size )"
+amskfilter,"amskfilter( x, mask )"
 anans,"anans( length[, dtype] )"
 anansLike,"anansLike( x[, dtype] )"
 anova1,"anova1( x, factor[, options] )"

typed-signature/data/data.csv

@@ -15,6 +15,7 @@ alias2related,"alias2related( alias:string )"
 alias2standalone,"alias2standalone( alias:string )"
 aliases,"aliases( [namespace:string] )"
 allocUnsafe,"allocUnsafe( size:integer )"
+amskfilter,"amskfilter( x:Array|TypedArray|Object, mask:Array|TypedArray|Object )"
 anans,"anans( length:integer[, dtype:string] )"
 anansLike,"anansLike( x:TypedArray|Array[, dtype:string] )"
 anova1,"anova1( x:Array<number>, factor:Array[, options:Object] )"