assign_types_names

Verbosely assign tidy name and data type for each column of a data.frame and
get rid of superfluous columns. Uses a .csv file for assignments to
encourage a data dictionary based workflow.
CAVE! Requires 'Date' type columns to already be read in as Date.

Provides functions streamlining the data analysis workflow:
Outsourcing data import, renaming and type casting to a *.csv.
Manipulating imputed datasets and fitting models on them. Summarizing models.

J. Marquardt

basecamb

Utilities for Streamlined Data Import, Imputation and Modelling

J. Peter Marquardt

Till D. Best

assign_types_names function

<dl><dt>data</dt>
<dd>data.frame to be tidied. Dates must already be of type date.</dd>
<dt>meta_data</dt>
<dd>data.frame specifying old column names, new column names and
datatypes of data. Has the following columns:<ul>
<li>old_column_name : character with the old column name.</li>
<li>new_data_type : character denoting the tidy data type. Supported types are:<ul>
<li>character (will be coerced using <code><a href="/link/as.character()?package=basecamb&version=1.1.2" data-mini-rdoc="basecamb::as.character()">as.character()</a></code>).</li>
<li>integer (will be coerced using <code><a href="/link/as.integer()?package=basecamb&version=1.1.2" data-mini-rdoc="basecamb::as.integer()">as.integer()</a></code>).</li>
<li>float (will be coerced using <code><a href="/link/as.double()?package=basecamb&version=1.1.2" data-mini-rdoc="basecamb::as.double()">as.double()</a></code>).</li>
<li>factor (will be coerced using <code><a href="/link/as.factor()?package=basecamb&version=1.1.2" data-mini-rdoc="basecamb::as.factor()">as.factor()</a></code>).
Will result in a warning if the new factor variable will have more than 10 levels.</li>
<li>date (can only confirm correct datatype assignment or coerce characters with format '%Y-%m-%d').</li>
</ul></li>
<li>new_column_name : tidy column name. Can be left blank to keep the old column name.</li>
<li>Optional other columns (do not affect behavior).</li>
</ul></dd></dl>

Arguments

Author

Assign tidy types and names to a data.frame — assign_types_names

<dl>

<dt>data</dt>
<dd>data.frame to be tidied. Dates must already be of type date.</dd>


<dt>meta_data</dt>
<dd>data.frame specifying old column names, new column names and
datatypes of data. Has the following columns:<ul>
<li>old_column_name : character with the old column name.</li>
<li>new_data_type : character denoting the tidy data type. Supported types are:<ul>
<li>character (will be coerced using <code><a href='https://rdrr.io/r/base/character.html'>as.character()</a></code>).</li>
<li>integer (will be coerced using <code><a href='https://rdrr.io/r/base/integer.html'>as.integer()</a></code>).</li>
<li>float (will be coerced using <code><a href='https://rdrr.io/r/base/double.html'>as.double()</a></code>).</li>
<li>factor (will be coerced using <code><a href='https://rdrr.io/r/base/factor.html'>as.factor()</a></code>).
Will result in a warning if the new factor variable will have more than 10 levels.</li>
<li>date (can only confirm correct datatype assignment or coerce characters with format '%Y-%m-%d').</li>
</ul></li>
<li>new_column_name : tidy column name. Can be left blank to keep the old column name.</li>
<li>Optional other columns (do not affect behavior).</li>
</ul></dd>

</dl>

assign_types_names: Assign tidy types and names to a data.frame

Description

Usage

Value

Arguments

Author