plot.xts: Plotting xts Objects

In joshuaulrich/xts: eXtensible Time Series

Plotting xts Objects

Description

Plotting for xts objects.

Usage

## S3 method for class 'xts'
plot(
  x,
  y = NULL,
  ...,
  subset = "",
  panels = NULL,
  multi.panel = FALSE,
  col = 1:8,
  up.col = NULL,
  dn.col = NULL,
  bg = "#FFFFFF",
  type = "l",
  lty = 1,
  lwd = 2,
  lend = 1,
  main = deparse(substitute(x)),
  main.timespan = TRUE,
  observation.based = FALSE,
  log = FALSE,
  ylim = NULL,
  yaxis.same = TRUE,
  yaxis.left = TRUE,
  yaxis.right = TRUE,
  yaxis.ticks = 5,
  major.ticks = "auto",
  minor.ticks = NULL,
  grid.ticks.on = "auto",
  grid.ticks.lwd = 1,
  grid.ticks.lty = 1,
  grid.col = "darkgray",
  labels.col = "#333333",
  format.labels = TRUE,
  grid2 = "#F5F5F5",
  legend.loc = NULL,
  extend.xaxis = FALSE
)

## S3 method for class 'xts'
lines(
  x,
  ...,
  main = "",
  on = 0,
  col = NULL,
  type = "l",
  lty = 1,
  lwd = 1,
  pch = 1
)

## S3 method for class 'xts'
points(x, ..., main = "", on = 0, col = NULL, pch = 1)

Arguments

x	A xts object.
y	Not used, always NULL.
...	Any passthrough arguments for lines() and points().
subset	An ISO8601-style subset string.
panels	Character vector of expressions to plot as panels.
multi.panel	Either TRUE, FALSE, or an integer less than or equal to the number of columns in the data set. When TRUE, each column of the data is plotted in a separate panel. When an integer 'n', the data will be plotted in groups of 'n' columns per panel and each group will be plotted in a separate panel.
col	Color palette to use.
up.col	Color for positive bars when type = "h".
dn.col	Color for negative bars when type = "h".
bg	Background color of plotting area, same as in par().
type	The type of plot to be drawn, same as in plot().
lty	Set the line type, same as in par().
lwd	Set the line width, same as in par().
lend	Set the line end style, same as in par().
main	Main plot title.
main.timespan	Should the timespan of the series be shown in the top right corner of the plot?
observation.based	When TRUE, all the observations are equally spaced along the x-axis. When FALSE (the default) the observations on the x-axis are spaced based on the time index of the data.
log	Should the y-axis be in log scale? Default FALSE.
ylim	The range of the y axis.
yaxis.same	Should 'ylim' be the same for every panel? Default TRUE.
yaxis.left	Add y-axis labels to the left side of the plot?
yaxis.right	Add y-axis labels to the right side of the plot?
yaxis.ticks	Desired number of y-axis grid lines. The actual number of grid lines is determined by the n argument to pretty().
major.ticks	Period specifying locations for major tick marks and labels on the x-axis. See Details for possible values.
minor.ticks	Period specifying locations for minor tick marks on the x-axis. When NULL, minor ticks are not drawn. See details for possible values.
grid.ticks.on	Period specifying locations for vertical grid lines. See details for possible values.
grid.ticks.lwd	Line width of the grid.
grid.ticks.lty	Line type of the grid.
grid.col	Color of the grid.
labels.col	Color of the axis labels.
format.labels	Label format to draw lower frequency x-axis ticks and labels passed to axTicksByTime()
grid2	Color for secondary x-axis grid.
legend.loc	Places a legend into one of nine locations on the chart: bottomright, bottom, bottomleft, left, topleft, top, topright, right, or center. Default NULL does not draw a legend.
extend.xaxis	When TRUE, extend the x-axis before and/or after the plot's existing time index range, so all of of the time index values of the new series are included in the plot. Default FALSE.
on	Panel number to draw on. A new panel will be drawn if on = NA. The default, on = 0, will add to the active panel. The active panel is defined as the panel on which the most recent action was performed. Note that only the first element of on is checked for the default behavior to add to the last active panel.
pch	the plotting character to use, same as in 'par'

Details

Possible values for arguments major.ticks, minor.ticks, and grid.ticks.on include ‘auto’, ‘minute’, ‘hours’, ‘days’, ‘weeks’, ‘months’, ‘quarters’, and ‘years’. The default is ‘auto’, which attempts to determine sensible locations from the periodicity and locations of observations. The other values are based on the possible values for the ticks.on argument of axTicksByTime().

Author(s)

Ross Bennett

References

based on chart_Series() in quantmod written by Jeffrey A. Ryan

See Also

addSeries(), addPanel()

Examples

## Not run: 
data(sample_matrix)
sample.xts <- as.xts(sample_matrix)

# plot the Close
plot(sample.xts[,"Close"])

# plot a subset of the data
plot(sample.xts[,"Close"], subset = "2007-04-01/2007-06-31")

# function to compute simple returns
simple.ret <- function(x, col.name){
  x[,col.name] / lag(x[,col.name]) - 1
}

# plot the close and add a panel with the simple returns
plot(sample.xts[,"Close"])
R <- simple.ret(sample.xts, "Close")
lines(R, type = "h", on = NA)

# add the 50 period simple moving average to panel 1 of the plot
library(TTR)
lines(SMA(sample.xts[,"Close"], n = 50), on = 1, col = "blue")

# add month end points to the chart
points(sample.xts[endpoints(sample.xts[,"Close"], on = "months"), "Close"], 
       col = "red", pch = 17, on = 1)

# add legend to panel 1
addLegend("topright", on = 1, 
          legend.names = c("Close", "SMA(50)"), 
          lty = c(1, 1), lwd = c(2, 1),
          col = c("black", "blue", "red"))

## End(Not run)

joshuaulrich/xts documentation built on Nov. 17, 2024, 6:37 a.m.