EDA (version 1.3)

EDA: Energy consumption analysis for calculating carbon emission changes

Description

Energy consumption analysis for calculating carbon emission changes

Usage

EDA(cdata, factordata, years = years, Factor = Factor, 
    Fuel = 1, Sector = 1, method = "LMDI")
# S3 method for EDA
print(x, ...)
# S3 method for EDA
plot(x, ...)

Arguments

cdata

A data.frame of annual carbon emission or energy consumption data, which can include multiple Fuels stored by columns.

factordata

A list of factors' data.frame.

years

A numeric vector of year.

Factor

A vector of factor names.

Fuel

A vector of fuel names.

Sector

A vector of carbon emission or energy consumption sector names or number. If only one sector of carbon emission or energy consumption, set Sector = 1.

method

A character of energy consumption analysis method's name. One of "LMDI", "Laspeyres", "Paasche", "Marshall-Edgeworth" or "Walsh".

x

A list of EDA result.

...

Ignore

References

Ang, B. W. (2005). The LMDI approach to decomposition analysis: a practical guide. Energy policy, 33(7), 867-871.

Marlay, R. C. (1984). Trends in industrial use of energy. Science, 226, 1277-1284.

Paasche, H. Uber die Preisentwicklung der letzten Jahre. Jahrbiicher fur Nationalokonomie und Statistik, 23(1874), 168.

Marshall, A. (1887). Remedies for fluctuations of general prices.

Edgeworth, F. Y. (1925). Papers relating to political economy.

Walsh, C. M. (1921). The Problem of Estimation, a Seventeenth-century Controversy and Its Bearing on Modern Statistical Questions, Especially Index-numbers, by Correa Moylan Walsh.

See Also

LMDI

Examples

# NOT RUN {
library(EDA)
data(carbon)
data(factordata)
## set parameters
cdata <- carbon[,-c(1,2)]
years <- carbon$year
Sector <- c("b1", "b2", "b3")
Fuel <- colnames(cdata)
Factor <- names(factordata)
## run EDA model
eda1 <- EDA(cdata, factordata, years = years, Factor = Factor, 
    Fuel = Fuel, Sector = Sector, method = "LMDI")
eda1
plot(eda1)

# }