bone: Bone development data
In asbio: A Collection of Statistical Tools for Biologists
bone R Documentation
Bone development data
Description
Neter et al. (1996) described an experiment in which researchers investigated the confounding effect of gender and bone development on growth hormone therapy for prepubescent children. Gender had two levels: "M" and "F".
The bone development factor had three levels indicating the severity of growth impediment before therapy: 1 = severely depressed, 2 = moderately depressed, and 3 = mildly depressed.
At the start of the experiment 3 children were assigned to each of the six treatment combinations. However 4 of the children were unable to complete the experiment, resulting in an unbalanced design.
Usage
data(bone)
Format
A data frame with 14 observations on the following 3 variables.
genderA factor with levels F M
develA factor with levels 1 2 3
growthA numeric vector descibing the growth difference before and after hormone therapy
Source
Neter, J., Kutner, M. H., Nachtsheim, C. J., and Wasserman, W (1996) Applied Linear Statistical Models. McGraw-Hill, Boston MA, USA.
asbio documentation built on Aug. 20, 2023, 9:07 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.
| bone | R Documentation |
Bone development data
Description
Neter et al. (1996) described an experiment in which researchers investigated the confounding effect of gender and bone development on growth hormone therapy for prepubescent children. Gender had two levels: "M" and "F". The bone development factor had three levels indicating the severity of growth impediment before therapy: 1 = severely depressed, 2 = moderately depressed, and 3 = mildly depressed. At the start of the experiment 3 children were assigned to each of the six treatment combinations. However 4 of the children were unable to complete the experiment, resulting in an unbalanced design.
Usage
data(bone)Format
A data frame with 14 observations on the following 3 variables.
genderA factor with levels
FMdevelA factor with levels
123growthA numeric vector descibing the growth difference before and after hormone therapy
Source
Neter, J., Kutner, M. H., Nachtsheim, C. J., and Wasserman, W (1996) Applied Linear Statistical Models. McGraw-Hill, Boston MA, USA.
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.