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marks {bnlearn} | R Documentation |
Examination marks data set
Description
Examination marks of 88 students on five different topics, from Mardia (1979).
Usage
data(marks)
Format
The marks
data set contains the following variables, one for each topic in the
examination:
-
MECH
(mechanics) -
VECT
(vectors) -
ALG
(algebra) -
ANL
(analysis) -
STAT
(statistics)
All are measured on the same scale (0-100).
Source
Edwards DI (2000). Introduction to Graphical Modelling. Springer, 2nd edition.
Mardia KV, Kent JT, Bibby JM (1979). Multivariate Analysis. Academic Press.
Whittaker J (1990). Graphical Models in Applied Multivariate Statistics. Wiley.
Examples
# This is the undirected graphical model from Edwards (2000).
data(marks)
ug = empty.graph(names(marks))
arcs(ug, check.cycles = FALSE) = matrix(
c("MECH", "VECT", "MECH", "ALG", "VECT", "MECH", "VECT", "ALG",
"ALG", "MECH", "ALG", "VECT", "ALG", "ANL", "ALG", "STAT",
"ANL", "ALG", "ANL", "STAT", "STAT", "ALG", "STAT", "ANL"),
ncol = 2, byrow = TRUE,
dimnames = list(c(), c("from", "to")))
## Not run: graphviz.plot(ug)
[Package bnlearn version 5.1-20250224 Index]
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