ex1919: Tire-Related Fatal Accidents and Ford Sports Utility Vehicles
In Sleuth3: Data Sets from Ramsey and Schafer's "Statistical Sleuth (3rd Ed)"
Description
Usage
Format
Source
See Also
Examples
Description
Data shows the numbers of compact sports utility vehicles involved in
fatal accidents in the U.S. between 1995 and 1999, categorized
according to travel speed, make of car (Ford or other), and cause of
accident (tire-related or other).
Usage
1
Format
A data frame with 8 observations on the following 4 variables.
- SpeedCat
a numerical code corresponding to 4 categories of speed (in miles per hour), with 1 = "0-40",
2 = "41-55", 3 = "56-65" and 4 = ">65"
- Make
a factor with levels "Ford" and
"Other"
- Other
cause of accident was other than tire-related
- Tire
cause of accident was tire-related
Source
Ramsey, F.L. and Schafer, D.W. (2013). The Statistical Sleuth: A
Course in Methods of Data Analysis (3rd ed), Cengage Learning.
See Also
Examples
1
Example output
'data.frame': 8 obs. of 4 variables:
$ SpeedCat: int 1 1 2 2 3 3 4 4
$ Make : Factor w/ 2 levels "ford","other": 1 2 1 2 1 2 1 2
$ Other : int 171 465 243 753 98 325 108 273
$ Tire : int 0 2 0 3 3 3 21 8
Sleuth3 documentation built on May 2, 2019, 6:41 a.m.
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Description Usage Format Source See Also Examples
Description
Data shows the numbers of compact sports utility vehicles involved in fatal accidents in the U.S. between 1995 and 1999, categorized according to travel speed, make of car (Ford or other), and cause of accident (tire-related or other).
Usage
1 |
Format
A data frame with 8 observations on the following 4 variables.
- SpeedCat
a numerical code corresponding to 4 categories of speed (in miles per hour), with 1 =
"0-40", 2 ="41-55", 3 ="56-65"and 4 =">65"- Make
a factor with levels
"Ford"and"Other"- Other
cause of accident was other than tire-related
- Tire
cause of accident was tire-related
Source
Ramsey, F.L. and Schafer, D.W. (2013). The Statistical Sleuth: A Course in Methods of Data Analysis (3rd ed), Cengage Learning.
See Also
Examples
1 |
Example output
'data.frame': 8 obs. of 4 variables:
$ SpeedCat: int 1 1 2 2 3 3 4 4
$ Make : Factor w/ 2 levels "ford","other": 1 2 1 2 1 2 1 2
$ Other : int 171 465 243 753 98 325 108 273
$ Tire : int 0 2 0 3 3 3 21 8
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