combine_signals: Combine signals from the Hourly Collaboration query

In wpa: Tools for Analysing and Visualising Viva Insights Data

Combine signals from the Hourly Collaboration query

Description

Takes in an Hourly Collaboration Data, and for each hour sums and aggregates the signals (e.g.Emails_sent and IMs_sent) in Signals_sent. This is an internal function used in the Working Patterns functions.

Usage

combine_signals(data, hr, signals = c("Emails_sent", "IMs_sent"))

Arguments

data	Hourly Collaboration query containing signal variables (e.g. Emails_sent_00_01)
hr	Numeric value between 0 to 23 to iterate through
signals	Character vector for specifying which signal types to combine. Defaults to c("Emails_sent", "IMs_sent"). Other valid values include "Unscheduled_calls" and "Meetings".

Details

combine_signals uses string matching to aggregate columns.

Value

Returns a numeric vector that represents the sum of signals sent for a given hour.

See Also

Other Support: camel_clean(), check_inputs(), cut_hour(), extract_date_range(), extract_hr(), heat_colours(), is_date_format(), maxmin(), p_test(), pairwise_count(), plot_WOE(), read_preamble(), rgb2hex(), totals_bind(), totals_col(), totals_reorder(), tstamp(), us_to_space(), wrap()

Examples

# Demo using simulated variables
sim_data <-
  data.frame(Emails_sent_09_10 = sample(1:5, size = 10, replace = TRUE),
             Unscheduled_calls_09_10 = sample(1:5, size = 10, replace = TRUE))

combine_signals(sim_data, hr = 9, signals = c("Emails_sent", "Unscheduled_calls"))

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