View source: R/geom-pointline.r
geom_pointpath | R Documentation |
geom_pointpath
combines geom_point
and
geom_path
, such that a) when jittering is used,
both lines and points stay connected, and b) provides a visual effect
by adding a small gap between the point and the end of line.
geom_pointline
combines geom_point
and
geom_path
.
geom_pointpath(
mapping = NULL,
data = NULL,
stat = "identity",
position = "identity",
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE,
distance = unit(3, "pt"),
shorten = 0.5,
threshold = 0.1,
lineend = "butt",
linejoin = "round",
linemitre = 1,
linesize = 0.5,
linecolour = waiver(),
linecolor = waiver(),
arrow = NULL,
...
)
geom_pointline(
mapping = NULL,
data = NULL,
stat = "identity",
position = "identity",
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE,
distance = unit(3, "pt"),
shorten = 0.5,
threshold = 0.1,
lineend = "butt",
linejoin = "round",
linemitre = 1,
linesize = 0.5,
linecolour = waiver(),
linecolor = waiver(),
arrow = NULL,
...
)
geom_pointrangeline(
mapping = NULL,
data = NULL,
stat = "identity",
position = "identity",
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE,
distance = unit(3, "pt"),
lineend = "butt",
linejoin = "round",
linemitre = 1,
linesize = 0.5,
linecolour = waiver(),
linecolor = waiver(),
arrow = NULL,
...
)
mapping |
Set of aesthetic mappings created by |
data |
The data to be displayed in this layer. |
stat |
The statistical transformation to use on the data for this layer, as a string. |
position |
Position adjustment, either as a string, or the result of a
call to a position adjustment function
(e.g. |
na.rm |
If |
show.legend |
Logical. Should this layer be included in the legends?
|
inherit.aes |
If |
distance |
Gap size between point and end of lines;
use |
shorten , threshold |
When points are closer than |
lineend |
Line end style (round, butt, square). |
linejoin |
Line join style (round, mintre, bevel). |
linemitre |
Line mitre limit (number greater than 1). |
linesize |
Width of of line. |
linecolour , linecolor |
When not |
arrow |
Arrow specification, as created by |
... |
other arguments passed on to |
geom_pointpath
connects the observations in the same order in which
they appear in the data.
geom_pointline
connects them in order of the variable on the x-axis.
Both geom_pointpath
and geom_pointline
will only
connect observations within the same group! However,
if linecolour
is not waiver()
, connections
will be made between groups, but possible in an incorrect order.
geom_pointline
and geom_pointpath
understands the following
aesthetics (required aesthetics are in bold):
x
y
alpha
colour – sets colour of point. Only affects line if linecolour=waiver()
.
stroke
shape
stroke
group
linetype
size – only affects point size. Width of line is set with
linesize
and cannot be linked to an aesthetic.
# geom_point examples
library(ggplot2)
p <- ggplot(mtcars, aes(wt, mpg))
p + geom_point() + geom_line()
p + geom_pointline()
p + geom_pointline(linecolour='brown')
p + geom_pointpath()
# Add aesthetic mappings
p + geom_pointline(aes(colour = factor(cyl)))
# Using linecolour preserved groups.
p + geom_pointline(aes(colour = factor(cyl)), linecolour='brown')
## If you want to combine the pretty lines of pointline that do *not* respect
## grouping (or order), combine several layers with geom_point on top:
p + geom_pointline() + geom_point(aes(colour=factor(cyl)))
# Change scales
p + geom_pointline(aes(colour = cyl)) + scale_colour_gradient(low = "blue")
p + geom_pointline(aes(colour = cyl), linecolour='black') + scale_colour_gradient(low = "blue")
p + geom_pointline(aes(shape = factor(cyl))) + scale_shape(solid = FALSE)
# For shapes that have a border (like 21), you can colour the inside and
# outside separately. Use the stroke aesthetic to modify the width of the
# border
ggplot(mtcars, aes(wt, mpg)) +
geom_pointline(shape = 21, colour = "black", fill = "white",
size = 5, stroke = 5, distance = unit(10, 'pt'))
## Another example
df <- data.frame(x=rep(c('orange','apple','pear'), each=3),
b=rep(c('red','green','purple'), times=3), y=runif(9))
ggplot(df, aes(x=x, y=y, colour=b, group=b)) +
geom_pointline(linesize=1, size=2, distance=6) + theme_bw()
# geom_pointline() is suitable for time series
ggplot(economics, aes(date, unemploy)) + geom_pointline()
ggplot(economics_long, aes(date, value01, colour = variable)) +
geom_pointline()
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