---
title: "1. Quick start"
output: rmarkdown::html_vignette
vignette: >
  %\VignetteIndexEntry{1. Quick start}
  %\VignetteEngine{knitr::rmarkdown}
  %\VignetteEncoding{UTF-8}
---

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

```{r setup}
library(quollr)
library(tibble)
```

This provides a quick introduction. We'll walk through fitting models to high-dimensional data and a 2-D embedding, and show how to inspect the key outputs.

```{r, message=FALSE}
model <- fit_highd_model(highd_data = scurve, 
                         nldr_data = scurve_umap, 
                         b1 = 4, q = 0.1, 
                         benchmark_highdens = 5)
```

The output of `fit_highd_model()` is a named list containing several components. Let’s take a quick look at each:

```{r, message=FALSE}
## 2-D model
glimpse(model$model_2d)

## high-D model
glimpse(model$model_highd)

## wireframe data
glimpse(model$trimesh_data)

## NLDR object
glimpse(model$nldr_obj)

## Hexagonal object
glimpse(model$hb_obj)
```
