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clifro (version 3.2-5)

plot,cfTemp,missing-method: 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 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 ggtheme to be used for plotting, see 'Theme Selection' below.

scales

character string partially matching the scales argument in the link[ggplot2]{facet_wrap} function.

n_col

the number of columns of plots (default 1).

...

further arguments passed to theme.

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

Run this code
# 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")
# }

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