inst/doc/maUsingGreybox.R

In greybox: Toolbox for Model Building and Forecasting

## ----setup, include = FALSE---------------------------------------------------
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.align="center",
  fig.height=4,
  fig.width=6
)

library(greybox)

## ----data---------------------------------------------------------------------
mtcarsData <- as.data.frame(mtcars)
mtcarsData$vs <- factor(mtcarsData$vs, levels=c(0,1), labels=c("v","s"))
mtcarsData$am <- factor(mtcarsData$am, levels=c(0,1), labels=c("a","m"))

## ----cramerVSAM---------------------------------------------------------------
cramer(mtcarsData$vs, mtcarsData$am)

## ----cramerGearAM-------------------------------------------------------------
cramer(mtcarsData$am, mtcarsData$gear)

## ----barplot------------------------------------------------------------------
plot(table(mtcarsData$am,mtcarsData$gear))

## ----tableplot----------------------------------------------------------------
tableplot(mtcarsData$am,mtcarsData$gear)

## ----table--------------------------------------------------------------------
table(mtcarsData$am,mtcarsData$gear) / length(mtcarsData$am)

## ----mcor---------------------------------------------------------------------
mcor(mtcarsData$am,mtcarsData$mpg)

## ----assoc--------------------------------------------------------------------
assocValues <- assoc(mtcarsData)
print(assocValues,digits=2)

## ----pcor---------------------------------------------------------------------
pcorValues <- pcor(mtcars)
print(pcorValues,digits=2)

## ----scatterplot--------------------------------------------------------------
plot(mtcarsData)

## ----spread-------------------------------------------------------------------
spread(mtcarsData)

## ----spreadHist---------------------------------------------------------------
spread(mtcarsData, histograms=TRUE, log=TRUE)

## ----determ-------------------------------------------------------------------
determination(mtcarsData[,-1])