geom_timeline_label: Label the Biggest Earthquakes on the Richter Scales

In ankit2219/masteringr: NOAA Significant Earthquakes Dataset Mapping

Description

geom_timeline_label enables you to label the n biggest earthquakes based on the Richter scales by means of n_max arguments.

Usage

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

Arguments

mapping	Set of aesthetis mappings created by aes.
data	The data to be displayed in this layer.
stat	Override the default connection between geom_timeline_label and stat_timeline_label(however I have not written a stat for this geom).
position	Position adjustment, either as a string, or the result of a call to 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. It can also be a named logical vector to finely select the aesthetics to display.
na.rm	If FALSE, the default, missing values are removed with a warning. If TRUE, missing values are silently removed.
inherit.aes	If FALSE, overrides the default aesthetics, rather than combining with them.
...	Other arguments passed on to link[ggplot2]{layer}.

Examples

## Not run: 
NOAA_data <- NOAA_data %>%
eq_clean_data() %>%
eq_location_clean() %>%
dplyr::filter(Country %in% c("MEXICO", "IRAN") &
               Date %within% lubridate::interval(ymd(20000103), ymd(20180104))) %>%
dplyr::mutate(Country = factor(Country, levels = unique(Country))) %>%
ggplot2::ggplot() +
geom_timeline(ggplot2::aes(x = Date, y = Country, size = Mag, colour = Deaths)) +
geom_timeline_label(ggplot2::aes(x = Date, y = Country, label = Location,
                         magnitude = Mag, colour = Deaths, n_max = 7), alpha = 0.5) +
ggplot2::scale_colour_continuous(name = "# deaths") +
ggplot2::theme(legend.position = "bottom") +
ggplot2::ylab("")

## End(Not run)

ankit2219/masteringr documentation built on Dec. 24, 2021, 1:25 a.m.