stat_timeline_label: The stat to enable geom_timeline_label to use date ranges and...
In jmmark/QuakeCoursera: Exploring the NOAA Significant Earthquake Database

Description Usage Arguments Examples

This stat transforms the data passed to geom_timeline to ensure that only dates between parameters x_min and x_max are actually plotted, and that only the top x events are labeled. No further transormations occur

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stat_timeline_label(mapping = NULL, data = NULL, geom = "timeline_label",
  position = "identity", na.rm = FALSE, show.legend = NA,
  inherit.aes = TRUE, top_x_mag = NULL, x_min = NULL, x_max = NULL, ...)

`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.
`geom`	The geometric object to use display the data
`position`	Position adjustment, either as a string, or the result of a call to a position adjustment function.
`na.rm`	If `FALSE`, the default, missing values are removed with a warning. If `TRUE`, missing values are silently removed.
`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`.
`top_x_mag`	The top `x` labels to plot. For example, if earthquake occurrences are being plotted, and you only want to label the top 5, pass some measure of magnatude in the aes slot and pass 5 here
`x_min`	(optional) A Date object of the earliest data to be plotted
`x_max`	(optional) A Date object of the latest data to be plotted
`...`	other arguments passed on to `layer`. 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.

data('clean_NOAA')
NOAA <- clean_NOAA
plot_NOAA <- NOAA[NOAA$COUNTRY=="USA" | NOAA$COUNTRY=="CANADA",]
xmin <- lubridate::ymd("2010-01-01")
xmax <- lubridate::ymd("2017-07-01")
plt <- ggplot2::ggplot(data = plot_NOAA, ggplot2::aes(x = DATE, y = COUNTRY)) +
  geom_timeline(ggplot2::aes(size = EQ_PRIMARY), x_min = xmin, x_max = xmax) +
  geom_timeline_label(ggplot2::aes(label = LOCATION_NAME, magnatude = EQ_PRIMARY),
     x_min = xmin, x_max = xmax, top_x_mag = 5) +
  ggplot2::theme_minimal()
print(plt)