tail.simulate_stockflow

Print the last rows of a simulation data frame of a stock-and-flow model. This is a wrapper around <code><a href="/link/tail()?package=sdbuildR&version=2.0.0" data-mini-rdoc="sdbuildR::tail()">tail()</a></code> that first converts the simulation results to a data frame using as.data.frame().

Stock-and-flow models are a computational method from the
field of system dynamics. They represent how systems change over time
and are mathematically equivalent to ordinary differential equations.
'sdbuildR' (system dynamics builder) provides an intuitive interface
for constructing stock-and-flow models without requiring extensive
domain knowledge. Models can quickly be simulated and revised,
supporting iterative development. 'sdbuildR' simulates models in 'R'
and 'Julia', and supports computationally intensive ensemble
simulations. Additionally, 'sdbuildR' can import models created in
'Insight Maker' (<https://insightmaker.com/>).

Kyra Caitlin Evers

sdbuildR

Easily Build, Simulate, and Explore Stock-and-Flow Models

tail.simulate_stockflow function

<dl><dt>x</dt>
<dd>Output of <code><a href="/link/simulate()?package=sdbuildR&version=2.0.0" data-mini-rdoc="sdbuildR::simulate()">simulate()</a></code>.</dd>
<dt>n</dt>
<dd>Number of rows to print. Defaults to 6.</dd>
<dt>...</dt>
<dd>Other arguments passed to <code>as.data.frame.simulate_stockflow()</code>.</dd></dl>

Arguments

Print the last rows of a simulation data frame of a stock-and-flow model. This is a wrapper around <code><a href='https://rdrr.io/r/utils/head.html'>tail()</a></code> that first converts the simulation results to a data frame using as.data.frame().

Print last rows of a simulation — tail.simulate_stockflow

<dl>

<dt>x</dt>
<dd>Output of <code><a href='https://rdrr.io/r/stats/simulate.html'>simulate()</a></code>.</dd>


<dt>n</dt>
<dd>Number of rows to print. Defaults to 6.</dd>


<dt>...</dt>
<dd>Other arguments passed to <code>as.data.frame.simulate_stockflow()</code>.</dd>

</dl>

tail.simulate_stockflow: Print last rows of a simulation

Description

Usage

Value

Arguments

Examples