hc_add_series_df {highcharter} | R Documentation |
Function to create chart from tidy data frames. As same as qplot you can use aesthetic including the group variable
hc_add_series_df(hc, data, type = NULL, ...)
hc |
A |
data |
A |
type |
The type of chart. Possible values are line, scatter, point, colum, columnrange, etc. See http://api.highcharts.com/highcharts#series. |
... |
Aesthetic mappings, |
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.
## Not run: require("dplyr") n <- 50 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 <- 50 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") ## End(Not run)