descriptive_plot

Plot density with descriptive statistics for numerical values.

The use of overparameterization is proposed with combinatorial analysis to test a broader spectrum of possible ARIMA models.
In the selection of ARIMA models, the most traditional methods such as correlograms or others, do not usually cover many alternatives to define the number of coefficients to be estimated in the model, which represents an estimation method that is not the best.
The popstudy package contains several tools for statistical analysis in demography and time series based in Shryock research (Shryock et. al. (1980) <https://books.google.co.cr/books?id=8Oo6AQAAMAAJ>).

Cesar Gamboa

popstudy

Applied Techniques to Demographic and Time Series Analysis

Cesar Gamboa-Sanabria

descriptive_plot function

<dl><dt>data</dt>
<dd>data.frame.</dd>
<dt>...</dt>
<dd>additional arguments to be passed to <code><a href="https://dplyr.tidyverse.org/reference/select.html">select</a></code>.</dd>
<dt>labels</dt>
<dd>A vector with x-axis labels.</dd>
<dt>ylab</dt>
<dd>y-axis label.</dd></dl>

Arguments

Author

descriptive_plot — descriptive_plot

<dl>

<dt>data</dt>
<dd>data.frame.</dd>


<dt>...</dt>
<dd>additional arguments to be passed to <code><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></code>.</dd>


<dt>labels</dt>
<dd>A vector with x-axis labels.</dd>


<dt>ylab</dt>
<dd>y-axis label.</dd>

</dl>

descriptive_plot: descriptive_plot

Description

Usage

Value

Arguments

Author

Examples