In DataScienceSalon/mdb: Movie Rating Model and Predictor

options(knitr.table.format = "html")
options(max.print=100, scipen=999, width = 800)
knitr::opts_chunk$set(echo=FALSE,
                 cache=FALSE,
               prompt=FALSE,
                 eval = TRUE,
               tidy=TRUE,
               root.dir = "..",
               fig.height = 8,
               fig.width = 20,
               comment=NA,
               message=FALSE,
               warning=FALSE)
knitr::opts_knit$set(width=100, figr.prefix = T, figr.link = T)
knitr::knit_hooks$set(inline = function(x) {
  prettyNum(x, big.mark=",")
})

library(dplyr)
library(extrafont)
library(ggplot2)

source("../R/analysis.R")
source("../R/associate.R")
source("../R/back.R")
source("../R/comparePredictions.R")
source("../R/conclusion.R")
source("../R/correlate.R")
source("../R/createDependent.R")
source("../R/forward.R")
source("../R/intro.R")
source("../R/prediction.R")
source("../R/prepareData.R")
source("../R/preprocess.R")
source("../R/process.R")
source("../R/regressionAnalysis.R")
source("../R/sampleSize.R")
source("../R/slr.R")
source("../R/univariate.R")
source("../R/univariateQual.R")
source("../R/univariateQuant.R")
source("../R/visualization.R")