geom_timeline: Timeline ggplot2's geom

In Cesar-Urteaga/rnoaa: Functions to get, clean, visualize, and analize the NOAA's quake database

Description

The geom_timeline displays the timeline of the observations along with each point observed during the given period.

Usage

geom_timeline(mapping = NULL, data = NULL, stat = "identity",
  position = "identity", show.legend = NA, inherit.aes = TRUE,
  na.rm = FALSE, ...)

Arguments

mapping	Set of aesthetic mappings created by aes or aes_. If specified and inherit.aes = TRUE (the default), it is combined with the default mapping at the top level of the plot. You must supply mapping if there is no plot mapping.
data	The data to be displayed in this layer. There are three options: If NULL, the default, the data is inherited from the plot data as specified in the call to ggplot. A data.frame, or other object, will override the plot data. All objects will be fortified to produce a data frame. See fortify for which variables will be created. A function will be called with a single argument, the plot data. The return value must be a data.frame., and will be used as the layer data.
stat	The statistical transformation to use on the data for this layer, as a string.
position	Position adjustment, either as a string, or the result of a call to a position adjustment function.
show.legend	logical. Should this layer be included in the legends? NA, the default, includes if any aesthetics are mapped. FALSE never includes, and TRUE always includes.
inherit.aes	If FALSE, overrides the default aesthetics, rather than combining with them. This is most useful for helper functions that define both data and aesthetics and shouldn't inherit behaviour from the default plot specification, e.g. borders.
na.rm	If 'FALSE', the default, missing values are removed with a warning. If 'TRUE', missing values are silently removed.
...	other arguments passed on to the layer function. These are often aesthetics, used to set an aesthetic to a fixed value, like 'color = "red"' or 'size = 3'. They may also be parameters to the paired geom/stat.

See Also

geom_timeline_label to include labels for each observation.

Examples

require(dplyr)
require(ggplot2)

# Before using the geom, we need to tidy the data up.
raw_data <- get_earthquake_data()
clean_data <- eq_clean_data(raw_data)

# Quakes in USA
clean_data %>%
  filter(COUNTRY == "USA",
         !is.na(EQ_PRIMARY),
         YEAR %in% 2000:2016) %>%
  ggplot(mapping = aes(x = DATE,
                       size = EQ_PRIMARY,
                       color = TOTAL_DEATHS)
         ) +
  geom_timeline() +
  labs(size = "Richter scale value",
       color = "# deaths",
       y = "") +
  theme_timeline()

Cesar-Urteaga/rnoaa documentation built on May 10, 2019, 5:16 a.m.