vchartr

library(vchartr)

Installation

You can install the development version of vchartr from GitHub with:

# install.packages("remotes")
remotes::install_github("dreamRs/vchartr")

Overview

The following graphs (and more) can be produced:

charts-overview

See the JavaScript library website for more examples and documentation.

Interactive examples are available here: 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:

vchart(eco2mix) %>% 
  v_line(aes(date, solar))

v_line

Modify scales options for aesthetics with v_scale_* functions:

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

Set any options with v_specs (see all options available here):

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

Or use v_specs_* helpers:

vchart(eco2mix) %>% 
  v_line(aes(date, solar)) %>% 
  v_specs_datazoom(
    start = "{label:%Y-%m-%d}",
    end = "{label:%Y-%m-%d}",
    brush = TRUE
  )