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Plots absolute or proportional time spent in AOIs over time

Source: R/plot_AOI_growth.R
plot_AOI_growth.Rd

A visualisation tool for plotting the changes in defined AOI regions across a single trial time.

Usage

plot_AOI_growth(
  data = NULL,
  pID_values = NULL,
  trial_values = NULL,
  AOIs = NULL,
  AOI_names = NULL,
  type = "abs",
  plot_time_not_in_AOI = FALSE
)

Arguments

data

raw data in standard raw data form (time, x, y, trial)

pID_values

specify particular values within 'pID' to plot data from certain participants

trial_values

can be used to select particular trials within the data

AOIs

A dataframe of areas of interest (AOIs), with one row per AOI (x, y, width_radius, height)

AOI_names

An optional vector of AOI names to replace the default "AOI_1", "AOI_2", etc. To omit AOIs from the plot, use NA in relevant vector position

type

either "abs" (absolute) or "prop" (proportion)

plot_time_not_in_AOI

boolean as to whether to include proportion of time spent outside AOIs

Value

a plot of the raw data

Examples


# \donttest{
data <- combine_eyes(HCL)
data <- interpolate(data)
# plot absolute and then proportional
plot_AOI_growth(data = data, AOIs = HCL_AOIs, type = "abs")
#> Multiple pIDs detected: randomly sampled - pID:119
#> Multiple trials detected: randomly sampled - trial:6

plot_AOI_growth(data = data, AOIs = HCL_AOIs, type = "prop")
#> Multiple pIDs detected: randomly sampled - pID:118
#> Multiple trials detected: randomly sampled - trial:4

# }