Nothing
## ---- fig.show='hold'----------------------------------------------------
library(mbgraphic)
## ----echo=TRUE,cache = TRUE,fig.width=1000-------------------------------
data(Election2013)
dim(Election2013)
## ----echo=TRUE,eval=FALSE------------------------------------------------
# iaunivariate(Election2013)
## ----fig.width=7, fig.height=4.5,echo=FALSE------------------------------
library(png)
library(grid)
img <- readPNG("iaunivariate.png")
grid.raster(img)
## ----echo=TRUE-----------------------------------------------------------
election_num <- Election2013[,sapply(Election2013,is.numeric)]
dim(election_num)
## ---- eval=FALSE---------------------------------------------------------
# iacorrgram(election_num)
## ----fig.width=7, fig.height=3.5,echo=FALSE------------------------------
library(png)
library(grid)
img <- readPNG("iacorrgram.png")
grid.raster(img)
## ----eval=TRUE-----------------------------------------------------------
vc <- varclust(Election2013,mincor=0.8)
summary(vc)
# the reduced data set
election_reduced <- vc$dfclusrep
dim(election_reduced)
## ----eval=TRUE-----------------------------------------------------------
scagdf <- sdf(election_reduced)
# List of class "sdfdata"
class(scagdf)
# Entries
summary(scagdf)
## ----eval=TRUE-----------------------------------------------------------
addscag <- scag2sdf(election_reduced,scagfun.list=list(dcor2d=dcor2d,splines2d=splines2d))
# merge 'addscag' and 'scagsdf'
scagdf2 <- mergesdfdata(scagdf,addscag)
# merged list contains 11 scagnostics
names(scagdf2$sdf)
## ----eval=FALSE----------------------------------------------------------
# iascagpcp(scagdf2)
## ----fig.width=7, fig.height=4.5,echo=FALSE------------------------------
library(png)
library(grid)
img <- readPNG("iascagpcp.png")
grid.raster(img)
## ----results='hide',eval=FALSE-------------------------------------------
# iascaggram(scagdf)
## ----fig.width=7, fig.height=4.5,echo=FALSE------------------------------
library(png)
library(grid)
img <- readPNG("iascaggram.png")
grid.raster(img)
## ----fig,echo=FALSE, results='hide',eval=FALSE---------------------------
# set.seed(4768987)
# # choose some of the demographic and structural variables of the reduced data frame
# election_ds <- election_reduced[,sample(1:35,20)]
# scagdf_ds <- sdf(election_ds)
# addscag_ds <- scag2sdf(election_ds,scagfun.list=list(dcor2d=dcor2d,splines2d=splines2d))
# scagdf2_ds <- mergesdfdata(scagdf_ds,addscag_ds)
# iascaggram(scagdf2_ds)
## ----fig.width=7, fig.height=4,echo=FALSE--------------------------------
library(png)
library(grid)
img <- readPNG("iascaggram2.png")
grid.raster(img)
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