timeSeries (version 280.75)

plot-methods: Plot a Time Series

Description

Plot 'timeSeries' objects.

Usage

## S3 method for class 'timeSeries':
plot(x, y = NULL, FinCenter = NULL, plot.type =
    c("multiple", "single"), format = "auto", at = "auto", widths = 1,
    heights = 1, xy.labels, xy.lines, panel = lines, nc, yax.flip =
    FALSE, mar.multi = c(0, 5.1, 0, if (yax.flip) 5.1 else 2.1),
    oma.multi = c(6, 0, 5, 0), axes = TRUE, ...)
## S3 method for class 'timeSeries':
lines(x, \dots)
## S3 method for class 'timeSeries':
points(x, \dots)

Arguments

x

an object of class timeSeries.

y

an object of class timeSeries.

FinCenter

a character with the the location of the financial center named as "continent/city".

plot.type

for multivariate time series, should the series by plotted separately (with a common time axis) or on a single plot?

format

...

at

...

widths

...

heights

...

xy.labels

logical, indicating if text() labels should be used for an x-y plot, _or_ character, supplying a vector of labels to be used. The default is to label for up to 150 points, and not for more.

xy.lines

logical, indicating if lines should be drawn for an x-y plot. Defaults to the value of xy.labels if that is logical, otherwise to TRUE

panel

a function(x, col, bg, pch, type, ...) which gives the action to be carried out in each panel of the display for plot.type="multiple". The default is lines

nc

the number of columns to use when type="multiple". Defaults to 1 for up to 4 series, otherwise to 2.

yax.flip

: logical indicating if the y-axis (ticks and numbering) should flip from side 2 (left) to 4 (right) from series to series when type="multiple".

mar.multi, oma.multi

the (default) par settings for plot.type="multiple".

axes

logical indicating if x- and y- axes should be drawn.

...

additional graphical arguments, see plot, plot.default and par

Value

• a plot or plot elements of an object of class timeSeries.

Examples

## data -
   LPP = as.timeSeries(data(LPP2005REC))[1:12, 1:4]
   colnames(LPP) <- abbreviate(colnames(LPP), 2)
   finCenter(LPP) <- "GMT"

## plot -  
   plot(LPP[, 1], type = "o", col = "steelblue", 
     main = "LPP", xlab = "2005", ylab = "Return")
   plot(LPP[, 1:2], type = "o", col = "steelblue", 
     main = "LPP", xlab = "2005", ylab = "Return")
   plot(LPP[, 1], LPP[, 2], type = "o", col = "steelblue", 
     main = "LPP", xlab = "Return 1", ylab = "Return 2")
     
## plot -
   # Example 1 - The wrong way to do it!
   LPP = as.timeSeries(data(LPP2005REC))
   ZRH = as.timeSeries(LPP[,"SPI"], zone = "Zurich", FinCenter = "Zurich")
   NYC = as.timeSeries(LPP[,"LMI"], zone = "NewYork", FinCenter = "NewYork")
   finCenter(ZRH) 
   finCenter(NYC)
   plot(ZRH, type = "p", pch = 19, col = "blue")
   points(NYC, pch = 19, col = "red")
 
## plot - 
   # Example 2 - Convert NYC to Zurich Time
   finCenter(ZRH) <- "Zurich"
   finCenter(NYC) <- "Zurich"
   at = unique(round(time(ZRH)))
   plot(ZRH, type = "p", pch = 19, col = "blue", format = "%b %d", at = at, 
       xlab = paste(ZRH@FinCenter, "local Time"), main = ZRH@FinCenter)
   points(NYC, pch = 19, col = "red")
  
## plot - 
   # Example 3 - Forced everything to GMT using "FinCenter" argument
   finCenter(ZRH) <- "Zurich"
   finCenter(NYC) <- "NewYork"
   at = unique(round(time(ZRH)))
   plot(ZRH, type = "p", pch = 19, col = "blue", format = "%b %d", at = at, 
       FinCenter = "GMT", xlab = "GMT", main = "ZRH - GMT")
   points(NYC, FinCenter = "GMT", pch = 19, col = "red")