ecov_big | R Documentation |
Compute all possible products of effects for all
features from weighted ESJT data, wFFdata
.
Note that the average of the dAdB
elements will ultimately
equal the covariances forming the expectancy matrix used to
estimate functional field models.
Note that this action can be particularly useful when there
is a SINGLE action (or TWO MAIN actions) that are being considered for
a given scenario (such as 'Cooperate vs. Defect?' in a "Prisoner's Dilemma"
situation; or 'Go straight vs. Swerve?' in a "Chicken" situation). If there are
MORE than two actions being represented for a single situation, you may want to
use the ecov_long
function instead.
Note: data can be weighted using sweighteddata
function
ecov_big(wFFdata, P_ID = "P_ID", S_ID = "S_ID")
wFFdata |
weighted functional field data |
Usage notes: FFdata should have format of P_ID
, S_ID
, Did_A
, as first three columns,
followed by effect ratings, and end in Likelihood
Effect covariance matrix
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.