| nuclearplants {RItools} | R Documentation |
Nuclear Power Station Construction Data
Description
The data relate to the construction of 32 light water reactor (LWR) plants constructed in the U.S.A in the late 1960's and early 1970's. The data was collected with the aim of predicting the cost of construction of further LWR plants. 6 of the power plants had partial turnkey guarantees and it is possible that, for these plants, some manufacturers' subsidies may be hidden in the quoted capital costs.
Usage
nuclearplants
Format
A data frame with 32 rows and 11 columns
cost: The capital cost of construction in millions of dollars adjusted to 1976 base.
date: The date on which the construction permit was issued. The data are measured in years since January 1 1990 to the nearest month.
t1: The time between application for and issue of the construction permit.
t2: The time between issue of operating license and construction permit.
cap: The net capacity of the power plant (MWe).
pr: A binary variable where
1indicates the prior existence of a LWR plant at the same site.ne: A binary variable where
1indicates that the plant was constructed in the north-east region of the U.S.A.ct: A binary variable where
1indicates the use of a cooling tower in the plant.bw: A binary variable where
1indicates that the nuclear steam supply system was manufactured by Babcock-Wilcox.cum.n: The cumulative number of power plants constructed by each architect-engineer.
pt: A binary variable where
1indicates those plants with partial turnkey guarantees.
Source
The data were obtained from the boot package, for
which they were in turn taken from Cox and Snell (1981). Although
the data themselves are the same as those in the nuclear
data frame in the boot package, the row names of the data
frame have been changed. (The new row names were selected to
ease certain demonstrations in optmatch.)
This documentation page is also adapted from the boot
package, written by Angelo Canty and ported to R by Brian Ripley.
References
Cox, D.R. and Snell, E.J. (1981) Applied Statistics: Principles and Examples. Chapman and Hall.