makeDist

Legacy name of `make_dist` function, please
 use that function instead. This function will eventually
 be deleted.

internal

These are miscellaneous functions for working with panel data, quantiles, and printing results.  For panel data, the package includes functions for making a panel data balanced (that is, dropping missing individuals that have missing observations in any time period), converting id numbers to row numbers, and to treat repeated cross sections as panel data under the assumption of rank invariance.  For quantiles, there are functions to make distribution functions from a set of data points (this is particularly useful when a distribution function is created in several steps), to combine distribution functions based on some external weights, and to invert distribution functions.  Finally, there are several other miscellaneous functions for obtaining weighted means, weighted distribution functions, and weighted quantiles; to generate summary statistics and their differences for two groups; and to add or drop covariates from formulas.

Brantly Callaway

BMisc

Miscellaneous Functions for Panel Data, Quantiles, and Printing
Results

makeDist function

<dl><dt>x</dt>
<dd>vector of values</dd>
<dt>Fx</dt>
<dd>vector of the distribution function values</dd>
<dt>sorted</dt>
<dd>boolean indicating whether or not x is already sorted;
computation is somewhat faster if already sorted</dd>
<dt>rearrange</dt>
<dd>boolean indicating whether or not should monotize
distribution function</dd>
<dt>force01</dt>
<dd>boolean indicating whether or not to force the values of
the distribution function (i.e. Fx) to be between 0 and 1</dd>
<dt>method</dt>
<dd>which method to pass to <code>approxfun</code> to approximate the
distribution function. Default is "constant"; other possible choice is
"linear". "constant" returns a step function, just like an empirical
cdf; "linear" linearly interpolates between neighboring points.</dd></dl>

Arguments

makeDist — makeDist

<dl>

<dt>x</dt>
<dd>vector of values</dd>


<dt>Fx</dt>
<dd>vector of the distribution function values</dd>


<dt>sorted</dt>
<dd>boolean indicating whether or not x is already sorted;
computation is somewhat faster if already sorted</dd>


<dt>rearrange</dt>
<dd>boolean indicating whether or not should monotize
distribution function</dd>


<dt>force01</dt>
<dd>boolean indicating whether or not to force the values of
the distribution function (i.e. Fx) to be between 0 and 1</dd>


<dt>method</dt>
<dd>which method to pass to <code>approxfun</code> to approximate the
distribution function. Default is "constant"; other possible choice is
"linear". "constant" returns a step function, just like an empirical
cdf; "linear" linearly interpolates between neighboring points.</dd>

</dl>

makeDist: makeDist

Description

Usage

Arguments