index.Rmd

---
title: "Help File: App to Predict Probability of Willingness to Grow Aromatic Medicinal Plants"
author: ""
date: "Last updated: `r format(Sys.time(), '%B %d, %Y')`"
output: 
  html_document:
    toc: true # table of content true
    toc_depth: 3  # upto three depths of headings (specified by #, ## and ###)
    toc_float: true
    number_sections: true  ## if you want number sections at each table header
    theme: united  # many options for theme, this one is my favorite.
    highlight: tango 
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```

# Description 

The web app is developed based on the work done in the paper:

K.D. Munugoda, T.S. Talagala, S.M.C.U.P. Subasinghe*, D.S. Hettiarachchi, A.T. Cooray (2022), Choice Modelling for the Commercial Cultivation of Underutilized Aromatic Plants for Producing Mosquito Repellents: Targeting Rural Sector Income Generation-under review


Study area: Sri Lanka

Sample: 480 homestead in 24 villages

Study period: November, 2019 - April, 2020

#  Variable description

| Variable name | Variable description |
| ------------- | -------------------- |
|Gender | Gender of the person willingness to grow medicinal plant |
|District |  Living district of the person willingness to grow medicinal plant |
| Age | Age of person willingness to grow medicinal plant (The sample minimum is 20 and the maximum is 89) |
| Education | Highest education level of the person willingness to grow medicinal plant |
| Income | Income in Sri Lankan Rupees.(The sample minimum is Rs. 0 and the maximum is Rs. 152000.00) |
| Agronomic crop availability | No, Yes |
| Number of agri contributing family members | The sample minimum is 0 and the maximum is 6 |
| Number of agri-contributing employees | The sample minimum is 0 and the maximum is 5 |
| Land size | Land size (in Acres) of the person willingness to grow medicinal plant (The sample minimum is 1 and the maximum is 4) |

## Usage

**Step 1: **

Enter input variables 


**Step 2: **

Press the "add" button to add the step 1 inputs to the app.

**Step: 3**

Press the "predict" button to obtain the predictions.

# Live demonstration

<iframe width="576" height="360" src="https://www.youtube.com/embed/pnInsXb8YLc" title="grower" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>