geom_path {ggplot2}R Documentation

geom\_path

Description

Connect observations, in original order

Usage

geom_path(mapping = NULL, data = NULL, stat = "identity", position = "identity", 
    lineend = "butt", linejoin = "round", linemitre = 1, na.rm = FALSE, 
    ...)

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

lineend

Line end style (round, butt, square)

linejoin

Line join style (round, mitre, bevel)

linemitre

Line mitre limit (number greater than 1)

na.rm

NULL

...

other arguments

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(aes(x = var))

Author(s)

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

See Also

Examples

## Not run: 
# Generate data
myear <- ddply(movies, .(year), colwise(mean, .(length, rating)))
p <- ggplot(myear, aes(length, 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")

# Control line join parameters
df <- data.frame(x = 1:3, y = c(4, 1, 9))
base <- ggplot(df, aes(x, y))
base + geom_path(size = 10)
base + geom_path(size = 10, lineend = "round")
base + geom_path(size = 10, linejoin = "mitre", lineend = "butt")

# Use qplot instead
qplot(length, 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")

# geom_path removes missing values on the ends of a line.
# use na.rm = T to suppress the warning message
df <- data.frame(
  x = 1:5,
  y1 = c(1, 2, 3, 4, NA),
  y2 = c(NA, 2, 3, 4, 5),
  y3 = c(1, 2, NA, 4, 5),
  y4 = c(1, 2, 3, 4, 5))
qplot(x, y1, data = df, geom = c("point","line"))
qplot(x, y2, data = df, geom = c("point","line"))
qplot(x, y3, data = df, geom = c("point","line"))
qplot(x, y4, data = df, geom = c("point","line"))

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


## End(Not run)

[Package ggplot2 version 0.8.9 Index]