---
title: "vchartr"
output: rmarkdown::html_vignette
vignette: >
%\VignetteIndexEntry{vchartr}
%\VignetteEngine{knitr::rmarkdown}
%\VignetteEncoding{UTF-8}
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
```
```{r setup}
library(vchartr)
```
## Installation
You can install the development version of vchartr from [GitHub](https://github.com/dreamRs/vchartr) with:
```r
# install.packages("remotes")
remotes::install_github("dreamRs/vchartr")
```
## Overview
The following graphs (and more) can be produced:
![charts-overview](figures/vchart-types.png)
See the [JavaScript library website](https://www.visactor.io/vchart) for more examples and documentation.
Interactive examples are available here: [https://dreamrs.github.io/vchartr/articles/charts.html](https://dreamrs.github.io/vchartr/articles/charts.html).
## Usage
Start by initializing a chart with the `vchart()` function, then choose the appropriate function according to the type of chart you wish to make and specify the variables to be used as aesthetics:
```r
vchart(eco2mix) %>%
v_line(aes(date, solar))
```
![v_line](figures/v_line.png)
Modify scales options for aesthetics with `v_scale_*` functions:
```r
vchart(eco2mix) %>%
v_line(aes(date, solar)) %>%
v_scale_x_date(
date_breaks = "2 years",
date_labels = "MM-YYYY",
name = "Date"
) %>%
v_scale_y_continuous(
labels = "~s",
name = "Electricity generation"
)
```
![v_scales](figures/v_scales.png)
Set any options with `v_specs` (see all options available [here](https://www.visactor.io/vchart/option/lineChart)):
```r
vchart(eco2mix) %>%
v_line(aes(date, solar)) %>%
v_specs(
brush = list(
brushType = "x",
zoomAfterBrush = TRUE
),
dataZoom = list(
orient = "bottom",
startText = list(formatter = "{label:%Y-%m-%d}"),
endText = list(formatter = "{label:%Y-%m-%d}")
)
)
```
![v_specs](figures/v_specs.png)
Or use `v_specs_*` helpers:
```r
vchart(eco2mix) %>%
v_line(aes(date, solar)) %>%
v_specs_datazoom(
start = "{label:%Y-%m-%d}",
end = "{label:%Y-%m-%d}",
brush = TRUE
)
```