geom_path {ggplot2}R Documentation

geom_path

Description

Connect observations, in original order

Usage

geom_path(mapping=NULL, data=NULL, stat="identity", position="identity", ...)

Arguments

mapping mapping between variables and aesthetics generated by aes
data dataset used in this layer, if not specified uses plot dataset
stat statistic used by this layer
position position adjustment used by this layer
... ignored

Details

This page describes geom_path, see layer and qplot for how to create a complete plot from individual components.

Value

A layer

Aesthetics

The following aesthetics can be used with geom_path. Aesthetics are mapped to variables in the data with the aes function: geom\_path(\code{aes}(x = var))

Author(s)

Hadley Wickham, http://had.co.nz/

See Also

Examples

## Not run: 
# Generate data
myear <- do.call(rbind, by(movies, movies$year, function(df) data.frame(year=df$year[1], mean.length = mean(df$length), mean.rating=mean(df$rating))))
p <- ggplot(myear, aes(x=mean.length, y=mean.rating))
p + geom_path()

# Add aesthetic mappings
p + geom_path(aes(size=year))
p + geom_path(aes(colour=year))

# Change scale
p + geom_path(aes(size=year)) + scale_size(to=c(1, 3))

# Set aesthetics to fixed value
p + geom_path(colour = "green")

# Use qplot instead
qplot(mean.length, mean.rating, data=myear, geom="path")

# Using economic data:
# How is unemployment and personal savings rate related?
qplot(unemploy/pop, psavert, data=economics)
qplot(unemploy/pop, psavert, data=economics, geom="path")
qplot(unemploy/pop, psavert, data=economics, geom="path", size=as.numeric(date))

# How is rate of unemployment and length of unemployment?
qplot(unemploy/pop, uempmed, data=economics)
qplot(unemploy/pop, uempmed, data=economics, geom="path")
qplot(unemploy/pop, uempmed, data=economics, geom="path") +
  geom_point(data=head(economics, 1), colour="red") + 
  geom_point(data=tail(economics, 1), colour="blue")
qplot(unemploy/pop, uempmed, data=economics, geom="path") +
  geom_text(data=head(economics, 1), label="1967", colour="blue") + 
  geom_text(data=tail(economics, 1), label="2007", colour="blue")

# Setting line type vs colour/size
# Line type needs to be applied to a line as a whole, so it can
# not be used with colour or size that vary across a line

x <- seq(0.01, .99, length=100)
df <- data.frame(x = rep(x, 2), y = c(qlogis(x), 2 * qlogis(x)), group = rep(c("a","b"), each=100))
p <- ggplot(df, aes(x=x, y=y, group=group))

# Should work
p + geom_line(linetype = 2)
p + geom_line(aes(colour = group), linetype = 2)
p + geom_line(aes(colour = x))

# Should fail
p + geom_line(aes(colour = x), linetype=2)

## End(Not run)

[Package ggplot2 version 0.8.2 Index]