getOutcomes: Extract outcomes from list of weightmatrices.

In edl: Toolbox for Error-Driven Learning Simulations with Two-Layer Networks

Description

Extract outcomes from list of weightmatrices.

Usage

getOutcomes(wmlist, extra.check = FALSE)

Arguments

wmlist	A list with weightmatrices, generated by RWlearning or updateWeights.
extra.check	Logical: whether or not to collect all cues from all weightmatrices in the list. Note that this slows down the process and should not result in different findings. Default is FALSE.

Value

Vector with outcomes.

Author(s)

Jacolien van Rij

See Also

getCues, getValues

Examples

# load example data:
data(dat)
# prepare training data:
dat$Cues <- paste("BG", dat$Shape, dat$Color, sep="_")
dat$Outcomes <- dat$Category
dat$Frequency <- dat$Frequency1
train <- createTrainingData(dat)
# learning:
wm <- RWlearning(train)
# retrieve cues from wm list:
getOutcomes(wm)
# or this version (which takes more time):
system.time({getOutcomes(wm, extra.check=TRUE)})
system.time({getOutcomes(wm)})

edl documentation built on Sept. 20, 2021, 9:09 a.m.