metricsgraphics is an 'htmlwidget' interface to the MetricsGraphics.js D3 chart library.

The current htmlwidget wrapper for it is minimaly functional and does not provide support for metricsgraphics histograms and provides nascent support for metricsgraphics' best feature - time series charts.

Charts look best in a Boostrap page (unless you customize your own CSS).

You can see what the output below produces on RPubs.

The following functions are implemented:

• mjs_plot: Create a new metricsgraphics.js plot
• mjs_line: metricsgraphics.js linechart "geom"
• mjs_add_line: used to add additional columns for a multi-line chart
• mjs_add_legend: adds a legend to a line (or mult-line) chart
• mjs_point: metricsgraphics.js scatterplot "geom"
• mjs_bar: metricsgraphics.js bar chart "geom"
• mjs_axis_x: Configure x axis ticks & limits
• mjs_axis_y: Configure y axis ticks & limits
• mjs_labs: Configure axis labels & plot description
• mjs_add_baseline: Sets a baseline line/label
• mjs_add_marker: Sets a marker line/label

News

• Version 0.1 released
• Version 0.2 released - added support for markers & baselines + minimal support for time-series
• Version 0.3 released - coded up more config parameters (including color and point sizes) and added support for multi-line plots
• Version 0.3.1 released - mjs_marker will now convert dates properly
• Version 0.4 released - added mjs_add_legend to support legends in line/multi-line charts
• Version 0.4.1 released - added support for linked charts (currently only works in Rmd files and mebbe Shiny if I can get more than one plot to show up in Shiny). See the online Rmd demo (scroll to bottom); also added some parameter error checking

Installation

devtools::install_github("hrbrmstr/metricsgraphics")

Usage

library(metricsgraphics)
library(RColorBrewer)

tmp <- data.frame(year=seq(1790, 1970, 10), uspop=as.numeric(uspop))

tmp %>%
  mjs_plot(x=year, y=uspop) %>%
  mjs_line() %>%
  mjs_add_marker(1850, "Something Wonderful") %>%
  mjs_add_baseline(150, "Something Awful")


tmp %>%
  mjs_plot(x=year, y=uspop, width=600) %>%
  mjs_line(area=TRUE)

tmp %>%
  mjs_plot(x=uspop, y=year, width=500, height=400) %>%
  mjs_bar() %>%
  mjs_axis_x(xax_format = 'plain')


mtcars %>%
  mjs_plot(x=wt, y=mpg, width=600, height=500) %>%
  mjs_point(color_accessor=carb, size_accessor=carb) %>%
  mjs_labs(x="Weight of Car", y="Miles per Gallon")


mtcars %>%
  mjs_plot(x=wt, y=mpg, width=600, height=500) %>%
  mjs_point(color_accessor=cyl,
            x_rug=TRUE, y_rug=TRUE,
            size_accessor=carb,
            size_range=c(5, 10),
            color_type="category",
            color_range=brewer.pal(n=11, name="RdBu")[c(1, 5, 11)]) %>%
  mjs_labs(x="Weight of Car", y="Miles per Gallon")


mtcars %>%
  mjs_plot(x=wt, y=mpg, width=400, height=300) %>%
  mjs_point(least_squares=TRUE) %>%
  mjs_labs(x="Weight of Car", y="Miles per Gallon")


set.seed(1492)
dat <- data.frame(date=seq(as.Date("2014-01-01"),
                           as.Date("2014-01-31"),
                           by="1 day"),
                  value=rnorm(n=31, mean=0, sd=2))

dat %>%
  mjs_plot(x=date, y=value) %>%
  mjs_line() %>%
  mjs_axis_x(xax_format = "date")

set.seed(1492)
stocks <- data.frame(
  time = as.Date('2009-01-01') + 0:9,
  X = rnorm(10, 0, 1),
  Y = rnorm(10, 0, 2),
  Z = rnorm(10, 0, 4))

stocks %>%
  mjs_plot(x=time, y=X) %>%
  mjs_line() %>%
  mjs_axis_x(show=FALSE) %>%
  mjs_axis_y(show=FALSE)

stocks %>%
  mjs_plot(x=time, y=X) %>%
  mjs_line() %>%
  mjs_add_line(Y) %>%
  mjs_add_line(Z) %>%
  mjs_axis_x(xax_format="date")

library(shiny)
library(metricsgraphics)

ui = shinyUI(fluidPage(
  h3("MetricsGraphics Example", style="text-align:center"),
  metricsgraphicsOutput('mjs')
))

server = function(input, output) {
  output$mjs <- renderMetricsgraphics(
    mtcars %>% 
      mjs_plot(x=wt, y=mpg, width=400, height=300) %>%
      mjs_point(color_accessor=carb, size_accessor=carb) %>%
      mjs_labs(x="Weight of Car", y="Miles per Gallon")
  )
}

shinyApp(ui = ui, server = server)