incRplot: Quick visualisation of incubation temperatures, on-bouts and...

In incR: Analysis of Incubation Data

Quick visualisation of incubation temperatures, on-bouts and off-bouts

Description

After incRscan has been used, incRplot provides a quick visualisation of the incubation temperature trace with coloured on- and off-bouts. Environmental temperatures can also be added to the plot

Usage

incRplot(
  data,
  time.var,
  day.var,
  inc.temperature.var,
  env.temperature.var = NULL,
  vector.incubation
)

Arguments

data	data table with incubation temperature data
time.var	Character string. Name of the variable with time of the day for temperature data. Please, have time in decimal hours. If incRprep has been previously used, "dec_time" can be used.
day.var	Character string. Name of the variable with date for temperature observation. No specific format is needed. If incRprep has been previously used, "date" can be used.
inc.temperature.var	Character string. Name of the variable with incubation temperatures.
env.temperature.var	Character string. Name of the variable with environmental temperatures. If no value is provided, a plot with no environmental temperatures is produced.
vector.incubation	name of the binary variable storing information about the presence/absence of the incubating individual in the nest. If incRscan has been used, "incR_score" can be used.

Value

Plot of incubation temperature, on-bouts and off-bouts with (optional) environmental temperatures. The plot is generated using ggplot2.The user can customised the appearance of the plot using tools within ggplot2(see example)

See Also

incRscan

Examples

# loading example data
data(incR_procdata)
my_plot <- incRplot(data = incR_procdata[complete.cases(incR_procdata$temperature),], 
                    time.var = "dec_time", 
                    day.var = "date", 
                    inc.temperature.var = "temperature", 
                    env.temperature.var = "env_temp",
                    vector.incubation = "incR_score")
                    
# see your plot
my_plot

# add new labels (ggplot2 required)
my_plot + ggplot2::labs(x = "New X label", y = "New Y label")

incR documentation built on April 19, 2023, 1:07 a.m.