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PINstimation (version 0.1.2)

set_display_digits: Package-wide number of digits

Description

Sets the number of digits to display in the output of the different package functions.

Usage

set_display_digits(digits = list())

Value

No return value, called for side effects.

Arguments

digits

A list of numbers corresponding to the different display digits. The default value is list().

Details

The parameter digits is a named list. It will be containing:

  • d1: contains the number of display digits for the values of probability estimates such as \(\alpha\), \(\delta\), pin, mpin, mpin(j), adjpin, psos, \(\theta\), and \(\theta'\).

  • d2: contains the number of display digits for the values of \(\mu\), \(\epsilon\)b and \(\epsilon\)s, as well as information criteria: AIC, BIC, and AWE.

  • d3: contains the number of display digits for the remaining values such as vpin statistics and likelihood value .

If the function is called with no arguments, the display digits will be reset to the default values, i.e., list(d1 = 6, d2 = 2, d3 = 3)). If the argument digits is not omitted, the function will only accept a list containing exactly three numerical values, each ranging between 0 and 10. The list can be named or unnamed. If the numbers in the argument digits are not integers, they will be rounded.

Examples

Run this code
# There is a preloaded quarterly dataset called 'dailytrades' with 60
# observations. Each observation corresponds to a day and contains the
# total number of buyer-initiated trades ('B') and seller-initiated
# trades ('S') on that day. To know more, type ?dailytrades

xdata <- dailytrades

# We show the output of the function pin_ea() using the default values
# of display digits. We then change these values using the function
# set_display_digits(), before displaying the same estimate.pin object
# again to see the difference.

model <- pin_ea(xdata, verbose = FALSE)
show(model)

# Change the number of digits for d1 to 3, of d2 to 0 and of d3 to 2

set_display_digits(list(3, 0, 2))

# No need to run the function mpin_ml() again to update the display of an
# estimate.mpin object.This holds for all estimate* S4 objects.

show(model)

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