facetshade: facetshade

In extracat: Categorical Data Analysis and Visualization

Description

This function makes it possible to create ggplots using facet_grid with a plot of the complete data in the background of each facet. There are two options: If geom is specified then the background data is put into a separate layer. The original data is stored in the main object. The other option is to not specify a geom. In this case the modified data is stored in the main body. See examples.

Usage

facetshade( data, mapping, f, geom, geom.mapping, bg.all = TRUE, keep.orig = FALSE, ...)

Arguments

data	The dataframe used for the background plots in the first layer.
mapping	The aesthetic mapping conctructed via aes.
f	The formula specifying the grid for facet_grid or a facet/wrap.
geom	The geom used for the shade.
geom.mapping	Aesthetics for the shade.

bg.all	Whether or not to use all data points for each background plot. If FALSE then the data for the background is the compleent of the data in the facet.
keep.orig	Logical. Whether to keep the original faceting variables defined by f. Those are renamed by adding orig. as a prefix. For example f = .~variable will work fine with group = orig.variable. See FinCal example.
...	Further arguments for the background layer or the main ggplot object.

Value

A ggplot object.

Author(s)

Alexander Pilhoefer

See Also

facet_grid

Examples

# produces a modified data.frame mdata and returns:
# ggplot(data = mdata, mapping, ... ) + facet_grid(f)

require(scales)
require(ggplot2)

# facetshade object:
fs1 <- facetshade( data = olives, aes(x = palmitoleic, y = oleic),
	f = .~Region )

# only the background-data
fs1 + geom_point( colour = alpha(1, 0.2) )

# the actual data added in a second layer:
fs1 + geom_point( colour = alpha(1, 0.2) ) +
geom_point( data = olives )

# now again with colours:
fs1 + geom_point( colour = alpha(1, 0.2) ) +
geom_point( data = olives, aes(colour = Area) )

# a different geom for the background-plot:
fs1 + geom_density2d(colour=alpha(1,0.1)) +
geom_point( data = olives, aes(colour = Area) )
## Not run: 
# OPTION 2: specify geom in facetshade call:
fs1b <- facetshade( data = olives, aes(x = palmitoleic, y = oleic),
	f = .~Region , geom = geom_point)
fs1b + geom_point(aes(colour = Area))

## End(Not run)


# compare with complement:
fs2 <- facetshade( data = olives, aes(x = palmitoleic, y = oleic),
	 f = .~Region , bg.all = FALSE)

fs2 + geom_density2d(colour=alpha(1,0.1)) +
geom_point( data = olives, aes(colour = Area) )
## Not run: 
# OPTION 2: specify geom in facetshade call:
fs2b <- facetshade( data = olives, aes(x = palmitoleic, y = oleic),
	f = .~Region , geom = geom_density2d, bg.all = FALSE)
fs2b + geom_point(aes(colour = Area))

## End(Not run)


# a second dataset:
## Not run: 
data(EURO4PlayerSkillsSep11, package="SportsAnalytics")
e4 <- subset(EURO4PlayerSkillsSep11,Attack > 0 & Defence > 0)


fs3 <- facetshade( data = e4, aes(x = Attack, y = Defence),
	f = .~Position , compare.all = TRUE)

fs3 + geom_point( colour = alpha(1, 0.1) ) +
geom_point( data = e4, aes(colour = Position) ,alpha=0.3)

fs3 + geom_bin2d( colour = alpha(1, 0.1) ) +
geom_point( data = e4, aes(colour = Position) ,alpha=0.3)

# now with two facet variables
fs4 <- facetshade( data = e4, aes(x = Attack, y = Defence),
	f = Position~Side , compare.all = TRUE)

fs4 + geom_point( colour = alpha(1, 0.1) ) +
geom_point( data = e4, aes(colour = Position)) 

## End(Not run)

## Not run: 
library(FinCal)
sh13 <- get.ohlcs.google(symbols=c("AAPL","GOOG","IBM", "MSFT"),
start="2013-01-01",end="2013-12-31")

# OPTION 1 ------------
require(reshape2)
SH13 <- data.frame(date = as.Date(sh13$AAPL$date),
 sapply(sh13,"[" ,"close",USE.NAMES=TRUE))

names(SH13) <- c("date",names(sh13))
SH13[,-1] <- apply(SH13[,-1], 2, function(x) 100*x/x[1])
SH13am <- melt(SH13, id="date")


# OPTION 2 ------------ 
#SH13am <- do.call(rbind,
#		 mapply(function(z,y){
#		 		data.frame(
#		 			date = as.Date(z$date),
#		 			value = 100*z$close/z$close[1],
#		 			variable = y)
#		 } , z = sh13, y = names(sh13), SIMPLIFY = FALSE))
# ---------------------		


# original plot from GDAR:
ggplot(SH13am, aes(date, y=value, colour=variable,group=variable)) +
geom_line()+ xlab("") + ylab("") +
 theme(legend.position="bottom") +
 theme(legend.title=element_blank())


# facetshade:
# compare to "average" of others:
facetshade(SH13am,aes(x=date, y=value),f = .~variable, bg.all = FALSE) +
 geom_smooth(aes(x=date, y=value),method="loess",span = 1/28) +
 geom_line(data=SH13am,aes(colour=variable),show_guide=FALSE) +
 xlab("") + ylab("")

# compare to all others
facetshade(SH13am,aes(x=date, y=value),
 f = .~variable, bg.all = FALSE,keep.orig = TRUE) +
 geom_line(aes(x=date, y=value,group=orig.variable),colour = alpha(1,0.3)) +
 geom_line(data=SH13am,aes(colour=variable),show_guide=FALSE, size = 1.2) +
xlab("") + ylab("")

# --- parallel coordinates --- #

sc <- scale(olives[,3:10])

# OPT: order by var
ord <- order(apply(sc,2,sd))
sc <- sc[,ord]

require(scales)
# OPT: align at median
sc <- apply(sc,2,function(z) rescale_mid(z, mid = median(z,na.rm=TRUE))) 



require(reshape2)
require(ggplot2)

msc <- melt(sc) 
msc$Area <- olives$Area
 

f1 <- facetshade(msc,aes(x=Var2,y=value,group=Var1),f=.~Area, bg.all = FALSE)
f1+geom_line(alpha=0.05)+
geom_line(data=msc,aes(colour=Area),alpha=0.2)+
facet_wrap(f=~Area,nrow=3)


## End(Not run)
## Not run: 
	# TESTCODE: instead of creating a new object
	# a shade layer is added to an existing ggplot
	# NOTE: function CHANGES the object!
	
# highlighting + alpha
pp0 <- ggplot()+geom_point(data = olives,
 aes(x = palmitoleic, y = palmitic), colour = 2) + facet_wrap(~Area, ncol = 3)
	extracat:::facetshade2(pp0, alpha = 0.1, colour = 1)	

# colours for both, alpha for shade	
pp1 <- ggplot()+geom_point(data = olives,
 aes(x = palmitoleic, y = oleic, colour = Area)) + facet_grid(.~Region)
	extracat:::facetshade2(pp1, alpha = 0.1)
	
# different geom and colour for shade	
pp2 <- ggplot()+geom_point(data = olives,
 aes(x = palmitoleic, y = oleic, colour = Area)) + facet_grid(.~Region)
	extracat:::facetshade2(pp2, geom = geom_density2d,
	 mapping = aes(colour = NULL), colour = 7)

# smooth over points shade with matching colours
pp3 <- ggplot()+geom_smooth(data = olives,
 aes(x = palmitoleic, y = oleic, colour = Region)) + facet_grid(.~Region)
	extracat:::facetshade2(pp3, geom = geom_point,
	 mapping = aes(colour = orig.Region), keep.orig = TRUE)
			

## End(Not run)

extracat documentation built on July 17, 2018, 5:05 p.m.