---
title: "Running Dropout related Tests with dropR"
output: rmarkdown::html_vignette
vignette: >
  %\VignetteIndexEntry{Running Dropout related Tests with dropR}
  %\VignetteEngine{knitr::rmarkdown}
  %\VignetteEncoding{UTF-8}
---

```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)
```

```{r setup, message=FALSE}
library(dropR)
data("dropRdemo")
qs <- which(grepl("vi_", names(dropRdemo)))
dropRdemo <- add_dropout_idx(dropRdemo, q_pos = qs)

stats <- compute_stats(dropRdemo,
                             by_cond = "experimental_condition",
                             no_of_vars = length(qs))
```

### Running a Chi-sq. Test for a Selected Question

> **_NOTE:_**  Chi-sq. tests are only available when an column denoting the experimental condition is given.

Let's compute a Chi-Squared test at question 15 for experimental conditions `11` and `12`. dropR's dropout Chi-Squared test returns a list containing the actual *test results* and dropout overview table at the selected question. 


```{r}
do_chisq(stats,
         chisq_question = 15,
         sel_cond_chisq = c('11','12'),
         p_sim = TRUE)
```

### Kaplan-Meier Estimation

```{r}
kpm <- do_kpm(df = add_dropout_idx(dropRdemo, qs),
              condition_col = "experimental_condition",
              model_fit = "total")

kpm$model_fit
head(kpm$steps)
head(kpm$d)
```

