sample.size

Returns necessary sample size for a given power and dataset

internal

Contains kernel smoothing tools designed for use by historical
dialectologists and philologists for exploring spatial and temporal patterns
in noisy historical language data, such as that obtained from historical texts.
The main way in which these might differ from other implementations of kernel
smoothing is that they assume that the function (linguistic variable) being
explored has the form of the relative frequency of a series of discrete
possibilities (linguistic variants). This package also offers a way of exploring
distributions in 2-dimensional space and in time with separate kernels, and
tools for identifying appropriate bandwidths for these.

Tamsin Blaxter

kernelPhil

Kernel Smoothing Tools for Philology and Historical Dialectology

sample.size function

<dl><dt>alpha</dt>
<dd>Numeric alpha.</dd>
<dt>margin</dt>
<dd>Numeric error margin.</dd>
<dt>dependent.variable</dt>
<dd>The variable being sampled as a vector.</dd>
<dt>weights</dt>
<dd>Numeric weights (if present) as a vector.</dd></dl>

Arguments

Sample size — sample.size

<dl>

<dt>alpha</dt>
<dd>Numeric alpha.</dd>


<dt>margin</dt>
<dd>Numeric error margin.</dd>


<dt>dependent.variable</dt>
<dd>The variable being sampled as a vector.</dd>


<dt>weights</dt>
<dd>Numeric weights (if present) as a vector.</dd>

</dl>

sample.size: Sample size

Description

Usage

Value

Arguments