DRCdemand

The goal of DRCdemand is to aid in the analysis of the Irish electricity demand data set. Namely, we provide functions to perform clustering, forecasting and model aggregation.

Installation

You can install the development version of DRCdemand from GitHub with:

# install.packages("devtools")
devtools::install_github("DylanDijk/DRCdemand")

Example

This is a basic example which shows you how to compute Gower’s dissimilarity matrix:

library(DRCdemand)
data <- data.frame(
  V1 = c(1, 2, 3),
  V2 = c(4, 5, 6),
  V3 = c(7, 8, 9),
  V4 = as.factor(c(1, 1, 2))
)
gowers_distance(data)
#>       1     2
#> 2 0.375      
#> 3 1.000 0.625

We can also use our package to plot results from hierarchical clustering, demonstrated here using the R iris data:

hc <- hclust(dist(iris[, 1:4]))
dend <- as.dendrogram(hc)
pal <- c("#8DA0CB", "#E78AC3", "#66C2A5")
DRCdemand::plot_clusters(dend, 3, pal)