hc_add_series_df {highcharter} | R Documentation

## Shorcut for tidy data frame a la ggplot2/qplot

### Description

Function to create chart from tidy data frames. As same as qplot you can use aesthetic including the group variable

### Usage

    hc_add_series_df(hc, data, type = NULL, ...)

### Arguments

`hc` | A `highchart` `htmlwidget` object.
`data` | A `data.frame` object.
`type` | The type of chart. Possible values are line, scatter, point, colum, columnrange, etc. See http://api.highcharts.com/highcharts#series.
`...` | Aesthetic mappings, `x y group color low high`.

### Details

The types supported are line, column, point, polygon, columrange, spline, areaspline among others.

Automatically parsed de data frame (to a list o series). You you can use the default parameters of highcharts such as `x`, `y`, `z`, `color`, `name`, `low`, `high` for each series, for example check http://api.highcharts.com/highcharts#series<bubble>.data.

### Examples

    require("dplyr")
    n <- 100
    df <- data_frame(
      x = rnorm(n),
      y = x * 2 + rnorm(n),
      w =  x^2
      )

    hc_add_series_df(highchart(), data = df, type = "point", x = x, y = y)
    hc_add_series_df(highchart(), data = df, type = "point", color = w)
    hc_add_series_df(highchart(), data = df, type = "point", color = w, size = y)

    m <- 100
    s <- cumsum(rnorm(m))
    e <- 2 + rbeta(m, 2, 2)

    df2 <- data_frame(
      var = seq(m),
      l = s - e,
      h = s + e,
      n = paste("I'm point ", var)
    )

    hc_add_series_df(highchart(), data = df2, type = "columnrange",
                     x = var, low = l, high = h, name = n, color = var)

    hc_add_series_df(highchart(), iris, "point",
                          x = Sepal.Length, y = Sepal.Width, group = Species)

    data(mpg, package = "ggplot2")

    # point and scatter is the same
    hc_add_series_df(highchart(), mpg, "scatter", x = displ, y = cty)
    hc_add_series_df(highchart(), mpg, "point", x = displ, y = cty,
                          group = manufacturer)

    mpgman <- count(mpg, manufacturer)
    hc_add_series_df(highchart(), mpgman, "column", x = manufacturer, y = n) %>%
      hc_xAxis(type = "category")

    mpgman2 <- count(mpg, manufacturer, year)
    hc_add_series_df(highchart(), mpgman2, "bar", x = manufacturer, y = n, group = year) %>%
      hc_xAxis(type = "category")

    data(economics, package = "ggplot2")

    hc_add_series_df(highchart(), economics, "line", x = date, y = unemploy) %>%
      hc_xAxis(type = "datetime")

    data(economics_long, package = "ggplot2")

    economics_long2 <- filter(economics_long,
                              variable %in% c("pop", "uempmed", "unemploy"))

    hc_add_series_df(highchart(), economics_long2, "line", x = date,
                     y = value01, group = variable) %>%
      hc_xAxis(type = "datetime")

[Package highcharter version 0.4.0 Index]