sample_data

Sample data for analysis.
A dataset containing information of access to credit.

datasets

Runs generalized and multinominal logistic (GLM and MLM) models, as well as random forest (RF), Bagging (BAG), and Boosting (BOOST). This package prints out to predictive outcomes easy for the selected data and data splits.

Seyma Kalay

pomodoro

Predictive Power of Linear and Tree Modeling

sample_data function

A <code>data_frame</code> with 53940 rows and 10 variables:<dl class="dl-horizontal">
 <dt>x1</dt><dd>hhid, household id number</dd>
 <dt>x2</dt><dd>swgt, survey weight</dd>
 <dt>x3</dt><dd>region, 3 factor level, west, east, and center</dd>
 <dt>x4</dt><dd>No.Loan, if the household has no loan</dd>
 <dt>x5</dt><dd>Formal, if the household has formal loan</dd>
 <dt>x6</dt><dd>Both, if the household has both loan</dd>
 <dt>x7</dt><dd>Informal, if the household has informal loan</dd>
 <dt>x8</dt><dd>sex, if the household has male</dd>
 <dt>y1</dt><dd>Loan.Type, 4 factor level type of the loan</dd>
 <dt>y2</dt><dd>multi.level, 2 factor level if the household has access to loan or not</dd>
 ...
</dl>

Format

Sample data for analysis.

A dataset containing information of access to credit. — sample_data

A <code>data_frame</code> with 53940 rows and 10 variables:<dl class='dl-horizontal'>
 <dt>x1</dt><dd>hhid, household id number</dd>
 <dt>x2</dt><dd>swgt, survey weight</dd>
 <dt>x3</dt><dd>region, 3 factor level, west, east, and center</dd>
 <dt>x4</dt><dd>No.Loan, if the household has no loan</dd>
 <dt>x5</dt><dd>Formal, if the household has formal loan</dd>
 <dt>x6</dt><dd>Both, if the household has both loan</dd>
 <dt>x7</dt><dd>Informal, if the household has informal loan</dd>
 <dt>x8</dt><dd>sex, if the household has male</dd>
 <dt>y1</dt><dd>Loan.Type, 4 factor level type of the loan</dd>
 <dt>y2</dt><dd>multi.level, 2 factor level if the household has access to loan or not</dd>
 ...
</dl>

sample_data: Sample data for analysis.
A dataset containing information of access to credit.

Description

Usage

Arguments

Format