factor.design {designr} | R Documentation |
Factorial Designs
Description
The main function of this package is to create factorial designs with this function.
Usage
factor.design(...)
Arguments
... |
Factors to add to the design. |
Value
An instance of factorDesign
with the complete factorial design and all fixed and random factors.
See Also
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.
Examples
# 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")
[Package designr version 0.1.13 Index]