> set.seed(1 ); x <- sample(c(1:50),10)
> set.seed(2); y <- sample(c(1:50),10)
> xt <- ts(x)
> xy <- cbind(x, y)
> f <- as.factor(c(rep('a',3),rep('b',5),rep('c',2)))
> x
[1] 14 19 28 43 10 41 42 29 27 3
> y
[1] 10 35 28 8 44 43 6 36 20 23
> xt
Time Series:
Start = 1
End = 10
Frequency = 1
[1] 14 19 28 43 10 41 42 29 27 3
> xy
x y
[1,] 14 10
[2,] 19 35
[3,] 28 28
[4,] 43 8
[5,] 10 44
[6,] 41 43
[7,] 42 6
[8,] 29 36
[9,] 27 20
[10,] 3 23
> f
[1] a a a b b b b b c c
Levels: a b c
x是向量, 按x元素位置绘制点图, 横轴为元素位置, 纵轴为x的值.
> plot(x)
xt是时序, 绘制时间序列的线图
> plot(xt)f是因子, 绘制每个水平柱状图.
plot(f)绘制x为横轴, y为纵轴的点图
> plot(x,y)
> plot(xy)
纵轴上画盒须图, 中间是平均值, 两端分别是最大最小值, 盒子的两端分别代表中位数分开的两个区间的平均值.
> plot(f,y)
如果把向量放第一个参数, 因子放第二个参数, 绘制的是y为横轴, f转换为numeric的点图.
> as.numeric(f)
[1] 1 1 1 2 2 2 2 2 3 3
> y
[1] 10 35 28 8 44 43 6 36 20 23
plot(y,f)
[参考]
> help(plot)
plot package:graphics R Documentation
Generic X-Y Plotting
Description:
Generic function for plotting of R objects. For more details
about the graphical parameter arguments, see ‘par’.
For simple scatter plots, ‘plot.default’ will be used. However,
there are ‘plot’ methods for many R objects, including
‘function’s, ‘data.frame’s, ‘density’ objects, etc. Use
‘methods(plot)’ and the documentation for these.
Usage:
plot(x, y, ...)
Arguments:
x: the coordinates of points in the plot. Alternatively, a
single plotting structure, function or _any R object with a
‘plot’ method_ can be provided.
y: the y coordinates of points in the plot, _optional_ if ‘x’ is
an appropriate structure.
...: Arguments to be passed to methods, such as graphical
parameters (see ‘par’). Many methods will accept the
following arguments:
‘type’ what type of plot should be drawn. Possible types are
? ‘"p"’ for *p*oints,
? ‘"l"’ for *l*ines,
? ‘"b"’ for *b*oth,
? ‘"c"’ for the lines part alone of ‘"b"’,
? ‘"o"’ for both ‘*o*verplotted’,
? ‘"h"’ for ‘*h*istogram’ like (or ‘high-density’)
vertical lines,
? ‘"s"’ for stair *s*teps,
? ‘"S"’ for other *s*teps, see ‘Details’ below,
? ‘"n"’ for no plotting.
All other ‘type’s give a warning or an error; using,
e.g., ‘type = "punkte"’ being equivalent to ‘type = "p"’
for S compatibility. Note that some methods, e.g.
‘plot.factor’, do not accept this.
‘main’ an overall title for the plot: see ‘title’.
‘sub’ a sub title for the plot: see ‘title’.
‘xlab’ a title for the x axis: see ‘title’.
‘ylab’ a title for the y axis: see ‘title’.
‘asp’ the y/x aspect ratio, see ‘plot.window’.
Details:
The two step types differ in their x-y preference: Going from
(x1,y1) to (x2,y2) with x1 < x2, ‘type = "s"’ moves first
horizontal, then vertical, whereas ‘type = "S"’ moves the other
way around.
See Also:
‘plot.default’, ‘plot.formula’ and other methods; ‘points’,
‘lines’, ‘par’.
For X-Y-Z plotting see ‘contour’, ‘persp’ and ‘image’.
Examples:
require(stats)
plot(cars)
lines(lowess(cars))
plot(sin, -pi, 2*pi) # see ?plot.function
## Discrete Distribution Plot:
plot(table(rpois(100, 5)), type = "h", col = "red", lwd = 10,
main = "rpois(100, lambda = 5)")
## Simple quantiles/ECDF, see ecdf() {library(stats)} for a better one:
plot(x <- sort(rnorm(47)), type = "s", main = "plot(x, type = \"s\")")
points(x, cex = .5, col = "dark red")
> methods(plot)
[1] plot.acf* plot.data.frame* plot.decomposed.ts*
[4] plot.default plot.dendrogram* plot.density*
[7] plot.ecdf plot.factor* plot.formula*
[10] plot.function plot.hclust* plot.histogram*
[13] plot.HoltWinters* plot.isoreg* plot.lm*
[16] plot.medpolish* plot.mlm* plot.ppr*
[19] plot.prcomp* plot.princomp* plot.profile.nls*
[22] plot.spec* plot.stepfun plot.stl*
[25] plot.table* plot.ts plot.tskernel*
[28] plot.TukeyHSD*
Non-visible functions are asterisked