ERSA.R
In ERSA: Exploratory Regression 'Shiny' App

## ----setup, include=FALSE-----------------------------------------------------
knitr::opts_chunk$set(echo = TRUE)

## -----------------------------------------------------------------------------
library(ERSA)

## ----eval=F-------------------------------------------------------------------
#  f <- lm(Fertility ~ . , data = swiss)
#  exploreReg(f,swiss)

## ----echo=FALSE, out.width='100%'---------------------------------------------
knitr::include_graphics('swiss1.png')

## -----------------------------------------------------------------------------
f <- lm(Fertility ~ . , data = swiss)
summary(f)

## -----------------------------------------------------------------------------
drop1(f, test="F")

## -----------------------------------------------------------------------------
anova(f)

## ----fig.width=4, fig.height=4, fig.align='center'----------------------------
plottStats(f)
cols <- termColours(f)
plottStats(f, cols)

## ----eval=F-------------------------------------------------------------------
#  plotCIStats(f,cols)
#  plotCIStats(f, cols,stdunits=TRUE)
#  plotAnovaStats(f, cols,type="F")
#  plotAnovaStats(f, cols,type="SS")

## ----fig.width=6, fig.height=4------------------------------------------------
fr <- revPredOrder(f, swiss)
plotSeqSS(list(f,fr), cols,legend=TRUE)

## ----eval=F-------------------------------------------------------------------
#  fselOrder(f)
#  bselOrder(f)
#  randomPredOrder(f)
#  regsubsetsOrder(f)

## ----fig.width=7,fig.height=4, fig.align='center'-----------------------------
pcpPlot(swiss, f)

## ----fig.width=7,fig.height=4,fig.align='center'------------------------------
pcpPlot(swiss, f, type="Residuals")

## ----fig.width=7, fig.height=4,fig.align='center'-----------------------------
pcpPlot(swiss, f, type="Hatvalues", sequential=T)