data.gaussian: Mature Cheddar Cheese
In ppham27/setsim: Software tool for the visualization of confidence regions in statistical models
Description
Usage
Format
Details
Source
Examples
Description
This data set gives measurements of acetic acid, hydrogen sulfide and lactic acid
and an index of taste for a sample of mature cheddar cheese.
Usage
1
Format
A data frame with 30 observations on the following 5 variables.
Note that the first line contains the names of the variables.
casea numeric vector
tastea numeric vector
acetica numeric vector
h2sa numeric vector
lactica numeric vector
Details
The goal is to investigate the relationships between the taste of matured
cheese (response variable, taste) and three chemicals deciding the taste of cheese:
acetic acid (acetic), hydrogen sulde (h2s), and lactic acid (lactic).
Note that the first two predictors are log transformed.
Source
Moore, D. S. and McCabe, G. P. (1989) Introduction to the Practice of Statistics.
New York: W.H. Freeman.
Examples
1
2
data(data.gaussian)
## maybe str(data.gaussian) ; plot(data.gaussian) ...
ppham27/setsim documentation built on May 25, 2019, 11:25 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.
Description Usage Format Details Source Examples
Description
This data set gives measurements of acetic acid, hydrogen sulfide and lactic acid and an index of taste for a sample of mature cheddar cheese.
Usage
1 |
Format
A data frame with 30 observations on the following 5 variables. Note that the first line contains the names of the variables.
casea numeric vector
tastea numeric vector
acetica numeric vector
h2sa numeric vector
lactica numeric vector
Details
The goal is to investigate the relationships between the taste of matured cheese (response variable, taste) and three chemicals deciding the taste of cheese: acetic acid (acetic), hydrogen sulde (h2s), and lactic acid (lactic). Note that the first two predictors are log transformed.
Source
Moore, D. S. and McCabe, G. P. (1989) Introduction to the Practice of Statistics. New York: W.H. Freeman.
Examples
1 2 | data(data.gaussian)
## maybe str(data.gaussian) ; plot(data.gaussian) ...
|
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.