weighted_combine_list

A function that takes in either a list of vectors or matrices
 and computes a weighted average of them, where the weights are applied to
 every element in the list.

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

weighted_combine_list function

<dl><dt>l</dt>
<dd>a list that contains either vectors or matrices of the same dimension
that are to be combined</dd>
<dt>w</dt>
<dd>a vector of weights, the weights should have the same number
of elements as `length(l)`</dd>
<dt>normalize_weights</dt>
<dd>whether or not to force the weights to sum to 1,
default is true</dd></dl>

Arguments

weighted_combine_list — weighted_combine_list

<dl>

<dt>l</dt>
<dd>a list that contains either vectors or matrices of the same dimension
that are to be combined</dd>


<dt>w</dt>
<dd>a vector of weights, the weights should have the same number
of elements as `length(l)`</dd>


<dt>normalize_weights</dt>
<dd>whether or not to force the weights to sum to 1,
default is true</dd>

</dl>

weighted_combine_list: weighted_combine_list

Description

Usage

Value

Arguments