1000 iterations, random agents. Attack, defense, eccentricity and
vitality correlation for whole dataset
####WORKSPACE SETTING####
#working directory
setwd("C:/Users/vitto/Desktop/Chef's Hat 1/Analisi dat")
#clear workspace
rm(list=ls())
#load libraries
library(dplyr)
library(gplots)
####DATA ANALYSIS####
#read data
data <- read.csv("comp.csv")
data$Source <- data$Source %>% as.factor
#corMat
data %>%
select(Attack,Defense,Eccentricity,Vitality) %>%
cor %>%
round(2) -> corMat
heatmap.2(1-abs(corMat),
Rowv = F,
Colv = F,
dendrogram="none",
symm=T,
scale="none",
revC=F,
cellnote=matrix(gsub("0.",".",corMat,fixed=T),ncol=ncol(corMat),nrow=ncol(corMat)),
trace = "none",
notecol = "black",
notecex=1,
key=F,
keysize=1,
margins = c(6,6),
col=hcl.colors(100,"mint"),
cexRow = 1,
cexCol = 1,
offsetRow = 0.01,
offsetCol = 0.01
)

1000 iterations, random agents. Attack, defense, eccentricity and
vitality correlation per player
data[data$Source=="RANDOM_Random1",] %>%
select(Attack,Defense,Eccentricity,Vitality) %>%
cor %>%
round(2) -> corMat
heatmap.2(1-abs(corMat),
Rowv = F,
Colv = F,
dendrogram="none",
symm=T,
scale="none",
revC=F,
cellnote=matrix(gsub("0.",".",corMat,fixed=T),ncol=ncol(corMat),nrow=ncol(corMat)),
trace = "none",
notecol = "black",
notecex=1,
key=F,
keysize=1,
margins = c(6,6),
col=hcl.colors(100,"mint"),
cexRow = 1,
cexCol = 1,
offsetRow = 0.01,
offsetCol = 0.01,
main = "Player 1"
)

data[data$Source=="RANDOM_Random3",] %>%
select(Attack,Defense,Eccentricity,Vitality) %>%
cor %>%
round(2) -> corMat
heatmap.2(1-abs(corMat),
Rowv = F,
Colv = F,
dendrogram="none",
symm=T,
scale="none",
revC=F,
cellnote=matrix(gsub("0.",".",corMat,fixed=T),ncol=ncol(corMat),nrow=ncol(corMat)),
trace = "none",
notecol = "black",
notecex=1,
key=F,
keysize=1,
margins = c(6,6),
col=hcl.colors(100,"mint"),
cexRow = 1,
cexCol = 1,
offsetRow = 0.01,
offsetCol = 0.01,
main = "Player 3"
)
