validate_data

<a href="https://lifecycle.r-lib.org/articles/stages.html#experimental"><img src="figures/lifecycle-experimental.svg?package=sasr&version=0.1.4" alt="[Experimental]"></a>
Validate if data contains validate variable names in SAS, and
remove possible row names.

internal

Provides a 'SAS' interface, through
'SASPy'(<https://sassoftware.github.io/saspy/>) and
'reticulate'(<https://rstudio.github.io/reticulate/>). This package
helps you create 'SAS' sessions, execute 'SAS' code in remote 'SAS'
servers, retrieve execution results and log, and exchange datasets
between 'SAS' and 'R'. It also helps you to install 'SASPy' and
create a configuration file for the connection. Please review the
'SASPy' license file as instructed so that you comply with its
separate and independent license.

Liming Li

sasr

'SAS' Interface

Daniel Sabanes Bove

Isaac Gravestock

F. Hoffmann-La Roche AG 

validate_data function

<dl><dt>data</dt>
<dd>(<code>data.frame</code>) data.frame to be checked.</dd></dl>

Arguments

<a href='https://lifecycle.r-lib.org/articles/stages.html#experimental'><img src='figures/lifecycle-experimental.svg' alt='[Experimental]' /></a>
Validate if data contains validate variable names in SAS, and
remove possible row names.

Validate and Process data.frame for SAS — validate_data

<dl>

<dt>data</dt>
<dd>(<code>data.frame</code>) data.frame to be checked.</dd>

</dl>

validate_data: Validate and Process `data.frame` for SAS

Description

Usage

Value

Arguments

Details