ADP (version 0.1.6)

pusers: Calculates the predicted prevalence of users according to the triers' rate

Description

This function develops a prediction of the users' rate of an innovation in the market, according to the number of triers

Usage

pusers(triers)

Arguments

triers

a vector of percentage (0<triers<1) of known triers

Value

a vector of predicted percentage (0<users<1) of users in the population of a certain innovation according to known triers rate

Details

This function calculates the rate of users in the population of a certain innovation according to known triers rate in that population and measured in a survey.

The measuring of triers is relatively easy. It is just a question of whether a person tried a product even once in his life or not. While measuring the rate of people who also adopt it as part of their life is more complicated since the adoption of a product is a subjective view of the individual. Mickey Kislev and Shira Kislev developed a formula to calculates the prevalence of users of a product to overcome this difficulty. The current function assists in calculating the users of a product based on the prevalence of triers in the population.

References

Kislev, Mickey M. & Kislev, Shira, (2020). The Market Trajectory of a Radically New Product: E-Cigarettes. IJMS 12(4):63-92, DOI:10.5539/ijms.v12n4p63

See Also

ptriers, adp.t, and adp.u

Examples

# NOT RUN {
# 50% rate of triers
pusers(0.5)
0.2455041
# means that 24.5% of the population uses the product regularly, in case
# that 50% of the population already tried it.
# }