factor.design | R Documentation |
The main function of this package is to create factorial designs with this function.
factor.design(...)
... |
Factors to add to the design. |
An instance of factorDesign
with the complete factorial design and all fixed and random factors.
random.factor
and fixed.factor
for creating factors to add to the design. output.design
and write.design
for creating a useful summary and writing it into output files.
# To create an empty design:
design <- factor.design()
# To create a design for a recognition memory experiment in
# which each participant only sees either picture or words:
design <- factor.design(
fixed.factor("type",levels=c("pic","word")),
fixed.factor("status",levels=c("old","new")),
random.factor("subject", groups="type"),
random.factor("item", groups="type"),
random.factor(c("subject","item"), groups="status")
)
# This is identical to:
design <- fixed.factor("type",levels=c("pic","word")) +
fixed.factor("status",levels=c("old","new")) +
random.factor("subject", groups="type") +
random.factor("item", groups="type") +
random.factor(c("subject","item"), groups="status")
# Or:
design <- factor.design(
~type(pic,word)+status(old,new)+subject[type]+item[type]+subject:item[status]
)
# You can also create a new design by adding more factors to an existing one:
design1 <- factor.design(~type(pic,word)+status(old,new)+subject[type]+item[type])
design2 <- design1 + random.factor(c("subject","item"), groups="status")
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