1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133
|
% Generated by roxygen2 (4.0.1): do not edit by hand
\name{geom_path}
\alias{geom_path}
\title{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, arrow = NULL, ...)
}
\arguments{
\item{lineend}{Line end style (round, butt, square)}
\item{linejoin}{Line join style (round, mitre, bevel)}
\item{linemitre}{Line mitre limit (number greater than 1)}
\item{arrow}{Arrow specification, as created by ?grid::arrow}
\item{mapping}{The aesthetic mapping, usually constructed with
\code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set
at the layer level if you are overriding the plot defaults.}
\item{data}{A layer specific dataset - only needed if you want to override
the plot defaults.}
\item{stat}{The statistical transformation to use on the data for this
layer.}
\item{position}{The position adjustment to use for overlapping points
on this layer}
\item{na.rm}{If \code{FALSE} (the default), removes missing values with
a warning. If \code{TRUE} silently removes missing values.}
\item{...}{other arguments passed on to \code{\link{layer}}. This can
include aesthetics whose values you want to set, not map. See
\code{\link{layer}} for more details.}
}
\description{
Connect observations in original order
}
\section{Aesthetics}{
\Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "path")}
}
\examples{
\donttest{
# Generate data
library(plyr)
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(range = 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))
# Use the arrow parameter to add an arrow to the line
# See ?grid::arrow for more details
library(grid)
c <- ggplot(economics, aes(x = date, y = pop))
# Arrow defaults to "last"
c + geom_path(arrow = arrow())
c + geom_path(arrow = arrow(angle = 15, ends = "both", length = unit(0.6, "inches")))
}
}
\seealso{
\code{\link{geom_line}}: Functional (ordered) lines;
\code{\link{geom_polygon}}: Filled paths (polygons);
\code{\link{geom_segment}}: Line segments
}
|