head_tail

Summary function - display head and tail in a single data.frame
The original code for this function was first written for 'psych' R package
here we have modified it a bit

internal

Fit the most popular human mortality 'laws', and construct
full and abridge life tables given various input indices. A mortality
law is a parametric function that describes the dying-out process of
individuals in a population during a significant portion of their
life spans. For a comprehensive review of the most important mortality
laws see Tabeau (2001) <doi:10.1007/0-306-47562-6_1>.
Practical functions for downloading data from various human mortality
databases are provided as well.

Marius Pascariu

MortalityLaws

Parametric Mortality Models, Life Tables and HMD

Marius D. Pascariu

Vladimir Canudas-Romo

head_tail function

<dl><dt>x</dt>
<dd>A matrix or data frame or free text</dd>
<dt>hlength</dt>
<dd>The number of lines at the beginning to show</dd>
<dt>tlength</dt>
<dd>The number of lines at the end to show</dd>
<dt>digits</dt>
<dd>Round off the data to digits</dd>
<dt>ellipsis</dt>
<dd>separate the head and tail with dots</dd></dl>

Arguments

Summary function - display head and tail in a single data.frame
The original code for this function was first written for 'psych' R package
here we have modified it a bit — head_tail

<dl>

<dt>x</dt>
<dd>A matrix or data frame or free text</dd>


<dt>hlength</dt>
<dd>The number of lines at the beginning to show</dd>


<dt>tlength</dt>
<dd>The number of lines at the end to show</dd>


<dt>digits</dt>
<dd>Round off the data to digits</dd>


<dt>ellipsis</dt>
<dd>separate the head and tail with dots</dd>

</dl>

Summary function - display head and tail in a single data.frame
The original code for this function was first written for 'psych' R package
here we have modified it a bit

head_tail: Summary function - display head and tail in a single data.frame The original code for this function was first written for 'psych' R package here we have modified it a bit

Description

Usage

Value

Arguments