plot_flex_index: Plot a Sample of Working Patterns using Flexibility Index...

In wpa: Tools for Analysing and Visualising Viva Insights Data

Plot a Sample of Working Patterns using Flexibility Index output

Description

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.

Usage

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")

wpa documentation built on Aug. 21, 2023, 5:11 p.m.