Package index
-
ggcalendar()
cal_month_border()
cal_label()
- Calendar time series plot with tiles
-
ggdiurnal()
- ggplot2-wrapper to summarise and plot data (of
rOstluft::format_rolf()
format) for diurnal time course-stats
-
ggdiurnal_weekend()
- ggplot2-wrapper to summarise and plot data (of
rOstluft::format_rolf()
format) for diurnal time course-stats including weekend-effect
-
ggdiurnal_weekend_diff()
- ggplot2-wrapper to summarise and plot data (of
rOstluft::format_rolf()
format) for one diurnal time course-stat plotted as difference between weekdays - weekend
-
ggpolarfreq()
- ggplot2 wrapper to to plot wind speed/direction frequencies and other statistics
-
ggpolarplot()
- ggplot2 wrapper to create a wind-based polar plot with cartesian coords
-
ggradar()
- ggplot2-wrapper to summarise and plot data by wind direction bins as radar plot
-
ggtraj()
- Plotting hysplit trajectory
-
ggweekend()
- ggplot2-wrapper to summarise and plot data (of
rOstluft::format_rolf()
format) as boxplots comparing weekdays to weekends
-
ggwindrose()
- ggplot wrapper to create a windrose (polar wind-bin frequency plot)
-
ggwindrose2()
- ggplot wrapper to create a windrose with calm support (polar wind-bin frequency plot)
-
ggyearday()
- ggplot2 heatmap for diurnal-yearly time series
Layer: stats
Statistical transformation of input data. The computed variables can be mapped using stat()
-
geom_bar_wind()
stat_summary_wind()
- Summarise z values over binned wind data.
-
stat_filter()
- Filtering data
-
stat_summary_wind_2d()
- Summarise z values over binned wind data.
-
summary_wind()
- Summarise z values over binned wind data.
-
summary_wind_2d()
- Summarise y values over binned wind data, split into u and v components.
-
summary_periodic()
- Summarise a
rOstluft::format_rolf()
dataset over periodic (diurnal, weekday, etc) factors implicitly created bycut_timeseries_periodic()
using various stat functions.
-
geom_bar_wind()
stat_summary_wind()
- Summarise z values over binned wind data.
-
geom_polar_raster()
- Background Raster for polar plots
Coordinate systems
Wind data is often displayed in polar coordinate system. The default functionality in ggplot is to limitited
-
coord_cartpolar()
- cartesian coordinate system with polar grid lines
-
coord_polar2()
- Customized coord_polar
-
coord_radar()
- Polar coordinate system without munching
scales
Scales control the details of how data values are translated to visual properties. Override the default scales to tweak details like the axis labels or legend keys, or to use a completely different translation from data to aesthetic.
-
scale_fill_viridis_squished()
scale_color_viridis_squished()
scale_fill_gradientn_squished()
scale_color_gradientn_squished()
- squish outliers or extreme values in scales
-
format_sprintf()
- Wrapper for sprintf string formatting
-
recode_last_class_label()
- recode highest
[x-y)
-style factor level to yield '>y'
-
midpoints()
- returns class midpoint-values for
[x-y)
-style factor level
-
get_stadia_map()
- Wrapper around ggmap::get_stadiamap()
-
get_google_map()
- Wrapper around ggmap::get_googlemap
-
bbox_lv95()
- bbox in WSG84 from LV95
-
get_ggmap()
- Wrapper to load a ggmap
-
cut_daylight()
- Cut a POSIXct Vector into daylight (day, night)
-
cut_interval.fun()
cut_number.fun()
cut_width.fun()
- Partial function constructor for ggplot2 cut functions
-
cut_season.fun()
- Partial function constructor for cut_season
-
cut_season()
- Cut date-time vectors into seasons
-
cut_seasonyear.fun()
- Partial function constructor for cut_season
-
cut_seasonyear()
- Cut seasons, keep years together
-
cut_timeseries_periodic()
- Cut a tibble with a datetime column
-
cut_time_of_day()
- Cut a POSIXct Vector into time of day (HH:MM)
-
cut_wd.fun()
- Partial function constructor to cut wind direction into factor classes
-
cut_wd()
- Cut wind direction into factor classes
-
cut_weekend()
- Cut a POSIXct Vector into weekday and weekend
-
cut_ws.fun()
- Partial function constructor to cut wind velocity (or others) into factor classes
-
cut_ws()
- Cut wind velocity (or others) into factor classes
-
squished_labels()
- generates labels for squished scales
-
uv2wd()
- calculate wind direction from u, v wind components
-
fit_gam_surface()
- Fits a smooth surface to x, y, z data using generalised additive models
-
bbox()
- set up a bounding box for ggmap::get_map()
-
element_render_circle()
- renders a circle as element_line
-
pad_to_year()
- Pads data to complete year
-
pad_to_year_fill()
- Pads data to complete year and fill up specific columns
-
grp()
- Pass grouping definitions into functions
-
auto_name()
- Ensure that all elements of a list of expressions are named
-
theme_rop_traj()
theme_rop_polarplot()
theme_rop_radar()
theme_rop_windrose()
theme_rop_diuarnal()
- themes for rOstluft plots
-
get_stamen_map()
- Defunct Functions in Package rOstluft.plot