designOneGroup: Create a Design Matrix for One Group of Observations
In lestat: A Package for Learning Statistics
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
Description
A design matrix is created, to be used for the analysis of data assumed to come
from one normal distribution.
Usage
1
Arguments
n
The number of data values.
Value
A matrix consisting only of 1's, with one column and with the number of rows
given by n.
Author(s)
Petter Mostad <mostad@chalmers.se>
See Also
designTwoGroups, designManyGroups, designBalanced, designFactorial
Examples
1
2
3
4
data <- simulate(normal(4, log(1.3)), 9)
design <- designOneGroup(9)
posterior <- linearmodel(data, design)
credibilityinterval(marginal(posterior, 1))
lestat documentation built on May 2, 2019, 2:09 p.m.
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Description Usage Arguments Value Author(s) See Also Examples
Description
A design matrix is created, to be used for the analysis of data assumed to come from one normal distribution.
Usage
1 |
Arguments
n |
The number of data values. |
Value
A matrix consisting only of 1's, with one column and with the number of rows
given by n.
Author(s)
Petter Mostad <mostad@chalmers.se>
See Also
designTwoGroups, designManyGroups, designBalanced, designFactorial
Examples
1 2 3 4 | data <- simulate(normal(4, log(1.3)), 9)
design <- designOneGroup(9)
posterior <- linearmodel(data, design)
credibilityinterval(marginal(posterior, 1))
|
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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