plot,cfTemp,missing-method {clifro} | R Documentation |
Plot Temperature Range
Description
Plot minimum and maximum temperature data for a given period (degrees celsius) through time, for each chosen CliFlo station.
Usage
## S4 method for signature 'cfTemp,missing'
plot(
x,
y,
ggtheme = c("grey", "gray", "bw", "linedraw", "light", "minimal", "classic"),
scales = c("fixed", "free_x", "free_y", "free"),
n_col = 1,
...
)
Arguments
x |
a cfTemp object. |
y |
missing. |
ggtheme |
character string (partially) matching the
|
scales |
character string partially matching the |
n_col |
the number of columns of plots (default 1). |
... |
further arguments passed to |
Details
This plotting method shows the temperature extremes as a grey region on the plot, with a black line indicating the average temperature (if available).
See Also
plot,cfDataList,missing-method
for general
information on default plotting of cfData
and cfDataList
objects, and the links within. See cf_query
for creating
cfTemp
objects.
Refer to theme
for more possible arguments to pass
to these methods.
Examples
## Not run:
# Retrieve public hourly minimum and maximum temperature data for the last
week at Reefton Ews station
# Subtract 7 days from today's date to get the start date
last_week = paste(as.character(Sys.Date() - 7), 0)
reefton_temp = cf_query(cf_user(), cf_datatype(4, 2, 2), cf_station(),
start_date = last_week)
class(reefton_temp) # cfTemp object
# Plot the temperature data using the defaults
plot(reefton_temp)
# Enlarge the text and add the observations as points
library(ggplot2) # for element_text() and geom_point()
plot(reefton_temp, ggtheme = "bw", text = element_text(size = 16)) +
geom_point(size = 3, shape = 1)
# Save the plot as a png to the current working directory
library(ggplot2) # for ggsave()
ggsave("my_temperature_plot.png")
## End(Not run)