repl: Replicating Analyses

Description

The generic function repl command takes zelig or sim output objects and replicates (literally, re-runs) the entire analysis. The results should be an output object identical to the original input object in the case of zelig output. In the case of sim output, the replicated analyses may differ slightly due to stochastic randomness in the simulation procedure.

Usage

repl(object, ...)
repl.default(object, data = NULL, ...)
repl.zelig(object, prev = NULL, data = NULL, x = NULL, x1 = NULL,
     bootfn = NULL, ...)

Arguments

object

Stored output from either zelig or sim.

data

You may manually input the data frame name rather than allowing replicate to draw the data frame name from the object to be replicated.

When replicating sim output, you may optionally use the previously simulated parameters to calculate the quantities of interest rather than simulating a new set of parameters. For all models, this should

When replicating sim output, you may optionally use an alternative setx value for the x input.

When replicating sim output, you may optionally use an alternative setx object for the x1 input to replicating the

bootfn

When replicating sim output with bootstrapped parameters, you should manually specify the bootfn if a non-default option was used.

...

Additional arguments passed to either zelig or sim.

Value

For zelig output, repl will create output that is in every way identical to the original input. You may check to see whether they are identical by using the identical command.
For sim output, repl output will be will be identical to the original object if you choose not to simulate new parameters, and instead choose to calculate quantities of interest using the previously simulated parameters (using the prev option. If you choose to simulate new parameters, the summary statistics for each quantity of interest should be identical, up to a random approximation error. As the number of simulations increases, this error decreases.

example

data(turnout) z.out <- zelig(vote ~ race + educate, model = "logit", data = turnout[1:1000,$ x.out <- setx(z.out) s.out <- sim(z.out, x = x.out) z.rep <- repl(z.out) identical(z.out$coef, z.rep$coef) z.alt <- repl(z.out, data = turnout[1001:2000,]) s.rep <- repl(s.out, prev = s.out$par) identical(s.out$ev, s.rep$ev)

Description

Usage

Arguments

Value

example

See Also