Table 15 Summary of the main R libraries applied on the different parts of the investigation
From: Analysis of the cryptocurrency market using different prototype-based clustering techniques
DOMAIN | R package | Functions |
|---|---|---|
Data wrangling | reshape2 | Table convertion between Wide and Long |
data.table | Flexible and faster handling of big tables | |
xts | Financial time-series operation | |
rjson | For Json file convertion to R objects | |
dplyr | Manipulation of operations with R commands, mainly %>% operator | |
magick | Figure format conversion from png to eps | |
Quality | poweRlaw | An implementation of maximum likelihood estimator of heavy tail distributions |
mclust | Adjusted Rand Index computation | |
clusterend | Hopkins index computation | |
Clustering | clue | Ensemble of k-means outcomes |
Hist-DAWass | Histogram clustering | |
dtwclust | TADPole clustering | |
Graphs | ggplot2 | General graph package |
FactoMineR | Scatter-plots of clustering | |
factoextra | Scatter-plots of clustering | |
plotly | Joint Probability Density (K-mean clusters) | |
magrittr | Joint Probability Density | |
RSelenium | Joint Probability Density | |
ggridges | Density plots of TADPole medoids | |
Finance | PerformanceAnalytics | Sharpe ratio |
Association tests | vcd | Pearson’s residuals representation |