README.md
In briencj/dae: Functions Useful in the Design and ANOVA of Experiments
dae
dae is an R package that collects together functions that are useful in the design and ANOVA of experiments. It is stronger in functions to aid in the design of experiments, having functions that facilitate factor manipulation, randomizing designs and assessing the properties of designs.
More information
For more information install the package and run the R command news(package = “dae”) or consult the manual via vignette("Manual", package = "dae").
An overview can be obtained using ?dae. A vignette is also available via vignette("DesignNotes", package = "dae").
Installing the package
From a repository using drat
Windows binaries and source tarballs of the latest version of dae are available for installation from my repository. Installation instructions are available there.
Directly from GitHub
dae is an R package available on GitHub, so it can be installed from the RStudio console or an R command line session using the devtools command install_github. First, make sure devtools is installed, which, if you do not have it, can be done as follows:
install.packages("devtools")
Next, install dae from GitHub by entering:
devtools::install_github("briencj/dae").
Version 2.0-12 of the package is available from CRAN so that you could first install it and its dependencies using:
install.packages("dae")
If you have not previously installed dae then you will need to install it dependencies:
install.packages(c("ggplot2", "plyr")))
What is does
Its most general facilties are those for randomizing systematic designs to produce randomized layouts for experiments and for assessing their properties by producing their efficiency factors. The randomized layouts are produced using the function designRandomize and a number of functions whose names start with design, as well as functions for manipulating factors whose names begin with fac. The efficiency factors are obtained using designAnatomy. The use of designRandomize and designAnatomy is exemplified in the vignette, which is also found using vignette("DesignNotes", package = "dae"). It covers both standard and multiphase experimental designs. The data sets that go with the vignette are available in dae. The package is documented in the manual, which can be found using vignette("Manual", package = "dae").
The content falls into the following natural groupings:
(i) Data
(ii) Factor manipulation functions
(iii) Design functions
(iv) ANOVA functions
(v) Matrix functions
(vi) Projector and canonical efficiency functions
(vii) Miscellaneous functions.
What it needs
It imports ggplot2, graphics, methods, plyr, stats.
License
The dae package is distributed under the GPL (>= 2) licence.
briencj/dae documentation built on Dec. 4, 2024, 1:13 a.m.
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.
dae
-green.svg)dae is an R package that collects together functions that are useful in the design and ANOVA of experiments. It is stronger in functions to aid in the design of experiments, having functions that facilitate factor manipulation, randomizing designs and assessing the properties of designs.
More information
For more information install the package and run the R command news(package = “dae”) or consult the manual via vignette("Manual", package = "dae").
An overview can be obtained using ?dae. A vignette is also available via vignette("DesignNotes", package = "dae").
Installing the package
From a repository using drat
Windows binaries and source tarballs of the latest version of dae are available for installation from my repository. Installation instructions are available there.
Directly from GitHub
dae is an R package available on GitHub, so it can be installed from the RStudio console or an R command line session using the devtools command install_github. First, make sure devtools is installed, which, if you do not have it, can be done as follows:
install.packages("devtools")
Next, install dae from GitHub by entering:
devtools::install_github("briencj/dae").
Version 2.0-12 of the package is available from CRAN so that you could first install it and its dependencies using:
install.packages("dae")
If you have not previously installed dae then you will need to install it dependencies:
install.packages(c("ggplot2", "plyr")))
What is does
Its most general facilties are those for randomizing systematic designs to produce randomized layouts for experiments and for assessing their properties by producing their efficiency factors. The randomized layouts are produced using the function designRandomize and a number of functions whose names start with design, as well as functions for manipulating factors whose names begin with fac. The efficiency factors are obtained using designAnatomy. The use of designRandomize and designAnatomy is exemplified in the vignette, which is also found using vignette("DesignNotes", package = "dae"). It covers both standard and multiphase experimental designs. The data sets that go with the vignette are available in dae. The package is documented in the manual, which can be found using vignette("Manual", package = "dae").
The content falls into the following natural groupings:
(i) Data
(ii) Factor manipulation functions
(iii) Design functions
(iv) ANOVA functions
(v) Matrix functions
(vi) Projector and canonical efficiency functions
(vii) Miscellaneous functions.
What it needs
It imports ggplot2, graphics, methods, plyr, stats.
License
The dae package is distributed under the GPL (>= 2) licence.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.