adp.t: Calculates the predicted adoption probability according to...
In ADP: Adoption Probability, Triers and Users Rate of a New Product
Description
Usage
Arguments
Details
Value
Author(s)
Source
See Also
Examples
Description
#' This function develops a prediction of the adoption rate of an innovation in
the market, according to the number of triers
Usage
1
adp.t(triers)
Arguments
triers
a vector of percentige (0<triers<1) of known triers
Details
This function calculates the adoption probability in the population of a certain
innovation according to known triers rate measured in a survey.
Value
a vector of predicted percentige(0<ADP<1) of the adoption probability
of a innovative product in the population.
Author(s)
Mickey Kislev and Shira Kislev
Source
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
Examples
1
2
3
4
5
# 50% rate of triers
adp.t(0.5)
0.4910082
# means that every second person who tries the product will adopt it, in case
# that 50% of the population already tried it.
ADP documentation built on Aug. 13, 2021, 5:09 p.m.
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Description Usage Arguments Details Value Author(s) Source See Also Examples
Description
#' This function develops a prediction of the adoption rate of an innovation in the market, according to the number of triers
Usage
1 | adp.t(triers)
|
Arguments
triers |
a vector of percentige (0<triers<1) of known triers |
Details
This function calculates the adoption probability in the population of a certain innovation according to known triers rate measured in a survey.
Value
a vector of predicted percentige(0<ADP<1) of the adoption probability of a innovative product in the population.
Author(s)
Mickey Kislev and Shira Kislev
Source
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
Examples
1 2 3 4 5 | # 50% rate of triers
adp.t(0.5)
0.4910082
# means that every second person who tries the product will adopt it, in case
# that 50% of the population already tried it.
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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