setx

output object from <code><a rd-options="" href="/link/zelig?package=Zelig&version=5.1.7" data-mini-rdoc="Zelig::zelig">zelig</a></code>

a list of functions to apply to the data frame

a new data frame used to set the values of
explanatory variables. If <code>data = NULL</code> (the default), the
data frame called in <code><a rd-options="" href="/link/zelig?package=Zelig&version=5.1.7" data-mini-rdoc="Zelig::zelig">zelig</a></code> is used

data

a logical value indicating whether unconditional
(default) or conditional (choose <code>cond = TRUE</code>) prediction
should be performed. If you choose <code>cond = TRUE</code>, <code>setx</code>
will coerce <code>fn = NULL</code> and ignore the additional arguments in
<code>&#8230;</code>. If <code>cond = TRUE</code> and <code>data = NULL</code>,
<code>setx</code> will prompt you for a data frame.

cond

user-defined values of specific variables for overwriting the
default values set by the function <code>fn</code>. For example, adding
<code>var1 = mean(data\$var1)</code> or <code>x1 = 12</code> explicitly sets the value
of <code>x1</code> to 12. In addition, you may specify one explanatory variable
as a range of values, creating one observation for every unique value in
the range of values

The <code>setx</code> function uses the variables identified in
the <code>formula</code> generated by <code>zelig</code> and sets the values of
the explanatory variables to the selected values. Use <code>setx</code>
after <code>zelig</code> and before <code>sim</code> to simulate quantities of
interest.

file

A framework that brings together an abundance of common
statistical models found across packages into a unified interface, and
provides a common architecture for estimation and interpretation, as well
as bridging functions to absorb increasingly more models into the
package. Zelig allows each individual package, for each
statistical model, to be accessed by a common uniformly structured call and
set of arguments. Moreover, Zelig automates all the surrounding building
blocks of a statistical work-flow--procedures and algorithms that may be
essential to one user's application but which the original package
developer did not use in their own research and might not themselves
support. These include bootstrapping, jackknifing, and re-weighting of data.
In particular, Zelig automatically generates predicted and simulated
quantities of interest (such as relative risk ratios, average treatment
effects, first differences and predicted and expected values) to interpret
and visualize complex models.

James Honaker

Zelig

Everyone's Statistical Software

Christine Choirat

Christopher Gandrud

Kosuke Imai

Gary King

Olivia Lau

Robert Treacy

IQSS Harvard University

setx function

output object from <code><a rd-options='' href='zelig'>zelig</a></code>

a new data frame used to set the values of
explanatory variables. If <code>data = NULL</code> (the default), the
data frame called in <code><a rd-options='' href='zelig'>zelig</a></code> is used

setx: Setting Explanatory Variable Values

Description

Usage

Arguments

Value

Details

See Also

Examples