df_svy_A

A simulation dataset from a small sample survey, presented only at provincial level (Domain 1).

datasets

Combines information from two independent surveys using a model-assisted projection method. Designed for survey sampling scenarios where a large sample collects only auxiliary information (Survey 1) and a smaller sample provides data on both variables of interest and auxiliary variables (Survey 2). Implements a working model to generate synthetic values of the variable of interest by fitting the model to Survey 2 data and predicting values for Survey 1 based on its auxiliary variables (Kim & Rao, 2012) <doi:10.1093/biomet/asr063>.

Ridson Al Farizal P

sae.projection

Small Area Estimation Using Model-Assisted Projection Method

Azka Ubaidillah

Silvi Ajeng Larasati

Amelia Rahayu

df_svy_A function

A data frame with 2000 rows and 20 variables with 40 domains.
<dl>
 <dt>province</dt>
<dd>Province code</dd> <dt>id_ind</dt>
<dd>Unique identifier for each respondent</dd> <dt>num</dt>
<dd>Sample number</dd> <dt>weight</dt>
<dd>Weight from survey</dd> <dt>x1</dt>
<dd>Predictor variables X1</dd> <dt>x2</dt>
<dd>Predictor variables X2</dd> <dt>x3</dt>
<dd>Predictor variables X3</dd> <dt>x4</dt>
<dd>Predictor variables X4</dd> <dt>x5</dt>
<dd>Predictor variables X5</dd> <dt>x6</dt>
<dd>Predictor variables X6</dd> <dt>x7</dt>
<dd>Predictor variables X7</dd> <dt>x8</dt>
<dd>Predictor variables X8</dd> <dt>x9</dt>
<dd>Predictor variables X9</dd> <dt>x10</dt>
<dd>Predictor variables X10</dd> <dt>x11</dt>
<dd>Predictor variables X11</dd> <dt>x12</dt>
<dd>Predictor variables X12</dd> <dt>x13</dt>
<dd>Predictor variables X13</dd> <dt>x14</dt>
<dd>Predictor variables X14</dd> <dt>x15</dt>
<dd>Predictor variables X15</dd> <dt>Y</dt>
<dd>Target variable (1: Yes, 0: No)</dd>
</dl>

Format

df_svy_A — df_svy_A

A data frame with 2000 rows and 20 variables with 40 domains.
<dl>
 <dt>province</dt>
<dd>Province code</dd>

 <dt>id_ind</dt>
<dd>Unique identifier for each respondent</dd>

 <dt>num</dt>
<dd>Sample number</dd>

 <dt>weight</dt>
<dd>Weight from survey</dd>

 <dt>x1</dt>
<dd>Predictor variables X1</dd>

 <dt>x2</dt>
<dd>Predictor variables X2</dd>

 <dt>x3</dt>
<dd>Predictor variables X3</dd>

 <dt>x4</dt>
<dd>Predictor variables X4</dd>

 <dt>x5</dt>
<dd>Predictor variables X5</dd>

 <dt>x6</dt>
<dd>Predictor variables X6</dd>

 <dt>x7</dt>
<dd>Predictor variables X7</dd>

 <dt>x8</dt>
<dd>Predictor variables X8</dd>

 <dt>x9</dt>
<dd>Predictor variables X9</dd>

 <dt>x10</dt>
<dd>Predictor variables X10</dd>

 <dt>x11</dt>
<dd>Predictor variables X11</dd>

 <dt>x12</dt>
<dd>Predictor variables X12</dd>

 <dt>x13</dt>
<dd>Predictor variables X13</dd>

 <dt>x14</dt>
<dd>Predictor variables X14</dd>

 <dt>x15</dt>
<dd>Predictor variables X15</dd>

 <dt>Y</dt>
<dd>Target variable (1: Yes, 0: No)</dd>


</dl>

df_svy_A: df_svy_A

Description

Usage

Arguments

Format