Plot a Sample of Working Patterns using Flexibility Index output

This is a helper function for plotting visualizations for the Flexibility Index using the data output from flex_index(). This is used within flex_index() itself as an internal function.

plot_flex_index(
  data,
  sig_label = "Signals_sent_",
  method = "sample",
  start_hour = 9,
  end_hour = 17,
  mode = "binary"
)

Arguments

data

Data frame. Direct data output from flex_index().

sig_label

Character string for identifying signal labels.

method

Character string for determining which plot to return. Options include "sample", "common", and "time". "sample" plots a sample of ten working patterns; "common" plots the ten most common working patterns; "time" plots the Flexibility Index for the group over time.

start_hour

See flex_index().

end_hour

See flex_index().

mode

See flex_index().

Value

ggplot object. See method.

See also

Other Working Patterns: flex_index(), identify_shifts_wp(), identify_shifts(), workpatterns_area(), workpatterns_classify_bw(), workpatterns_classify_pav(), workpatterns_classify(), workpatterns_hclust(), workpatterns_rank(), workpatterns_report()

Examples

# Pre-calculate Flexibility Index
fi_output <- flex_index(em_data, return = "data")


# Examples of how to test the plotting options individually
# Sample of 10 work patterns
plot_flex_index(fi_output, method = "sample")


# 10 most common work patterns
plot_flex_index(fi_output, method = "common")


# Plot Flexibility Index over time
plot_flex_index(fi_output, method = "time")