learning_states: List categorized learning states for sequence simulation
In simulab: Simulates a Wide Variety of Data Shapes, Sizes and Distributions
View source: R/learning_states.R
learning_states R Documentation
List categorized learning states for sequence simulation
Description
List categorized learning states for sequence simulation
Usage
learning_states(categories = "all")
Arguments
categories
A character vector of one or more category identifiers
from learning_state_categories(), or "all" (the default) for every
category. Unknown identifiers raise an error.
Value
A tidy base data.frame with one row per category-state pair and
columns category and state. A state may belong to more than one
category and then appears once per category, so state is not unique:
the full catalogue has 209 rows covering 202 distinct states.
Examples
head(learning_states())
head(learning_states(categories = "metacognitive"))
simulab documentation built on Oct. 15, 2026, 5:08 p.m.
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View source: R/learning_states.R
| learning_states | R Documentation |
List categorized learning states for sequence simulation
Description
List categorized learning states for sequence simulation
Usage
learning_states(categories = "all")
Arguments
categories |
A character vector of one or more category identifiers
from |
Value
A tidy base data.frame with one row per category-state pair and
columns category and state. A state may belong to more than one
category and then appears once per category, so state is not unique:
the full catalogue has 209 rows covering 202 distinct states.
Examples
head(learning_states())
head(learning_states(categories = "metacognitive"))
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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