Description Usage Arguments Details Value Examples
According to the parameters, it first calculates the normalized gain and loss
matrices. Using prospect_value_matrix_extend
it calculates the
value matrix using the value function given by Tversky & Kahnemann(1992)[1].
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dataset |
a |
userid |
an integer vector indicating for which user the output of this function should be calculated. This functions is vectorised in this argument, i.e. you may enter more userIDs simultaneously. |
attr |
attribute IDs, vector of integer numbers corresponding to the attributes (columns) you desire to use. |
rounds |
integer vector, text option or a list of integer vectors. Which
steps of the configuration process should be shown? Defaults are first and
last step. Text options are |
refps |
a list of numeric vectors, one for each user. Reference Points: each point corresponds to one attribute, therefore the amount of attributes and of refps entered, should be equal. Default assumes the refps as the default values of the initial product configuration for each user. You may fully or partially enter your own reference points, check below for more info. |
cost_ids |
argument used to convert selected cost attributes into
benefit attributes. Integer vector. Cost type attributes have the
characteristic, that a lower value means the user is better off than with a
higher value. E.g. price is often considered a cost type attribute. Should
be equal to |
alpha |
parameter for diminishing sensitivity in the gain domain. Default value = 0.88. Usual values are in the (0,1) interval. |
beta |
parameter for diminishing sensitivity in the loss domain. Default value = 0.88. Usual values are in the (0,1) interval. |
lambda |
parameter for loss aversion. Default value = 2.25. Values for |
dataset
We assume the input data.frame has following columns
usid = User IDs, round = integers indicating which round the user is in
(0-index works best for 'round'), atid = integer column for referring the
attribute ID (1 indexed), selected = numeric value of the attribute for a
specific, given round, selectable = amount of options the user can chose at
a given round, with the current configuration. This is a necessary
parameter.
userid
is a necessary parameter.
For more details on the other parameters, please refer to
decisionMatrix
.
the value matrix
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