as_ascii_table

This function takes a data.frame and attempts to convert it into
a simple ascii format suitable for printing to the screen
It is assumed all variable values have a as.character() method
in order to cast them to character.

Implements standard and reference based multiple imputation methods for continuous
longitudinal endpoints (Gower-Page et al. (2022) <doi:10.21105/joss.04251>). In particular,
this package supports deterministic conditional mean imputation and jackknifing as described
in Wolbers et al. (2022) <doi:10.1002/pst.2234>, Bayesian multiple imputation as described
in Carpenter et al. (2013) <doi:10.1080/10543406.2013.834911>, and bootstrapped maximum
likelihood imputation as described in von Hippel and Bartlett (2021) <doi: 10.1214/20-STS793>.

Isaac Gravestock

rbmi

Reference Based Multiple Imputation

Craig Gower-Page

Alessandro Noci

Marcel Wolbers

Daniel Sabanes Bove

F. Hoffmann-La Roche AG 

as_ascii_table function

<dl><dt>dat</dt>
<dd>Input dataset to convert into a ascii table</dd>
<dt>line_prefix</dt>
<dd>Symbols to prefix infront of every line of the table</dd>
<dt>pcol</dt>
<dd>name of column to be handled as a p-value. Sets the value to &lt;0.001 if the value is 0 after rounding</dd></dl>

Arguments

as_ascii_table — as_ascii_table

<dl>

<dt>dat</dt>
<dd>Input dataset to convert into a ascii table</dd>


<dt>line_prefix</dt>
<dd>Symbols to prefix infront of every line of the table</dd>


<dt>pcol</dt>
<dd>name of column to be handled as a p-value. Sets the value to &lt;0.001 if the value is 0 after rounding</dd>

</dl>

as_ascii_table: as_ascii_table

Description

Usage

Arguments