tseries (version 0.9-28)

irts-methods: Methods for Irregular Time-Series Objects

Description

Methods for irregular time-series objects.

Usage

## S3 method for class 'irts':
lines(x, type = "l", \dots)
## S3 method for class 'irts':
plot(x, type = "l", plot.type = c("multiple", "single"), 
     xlab = "Time", ylab = NULL, main = NULL, ylim = NULL,
     oma = c(6, 0, 5, 0), ...)
## S3 method for class 'irts':
points(x, type = "p", \dots)                    
## S3 method for class 'irts':
print(x, format = "\%Y-\%m-\%d \%H:\%M:\%S", tz = "GMT",
      usetz = TRUE, format.value = NULL, \dots)
## S3 method for class 'irts':
time(x, \dots)
## S3 method for class 'irts':
value(x, \dots)
x[i]
x[i, j]
x[i, j, ...]

Arguments

x
an object of class "irts"; usually, a result of a call to irts.
type, plot.type, xlab, ylab, main, ylim, oma
graphical arguments, see plot, points, lines, par, and
format, tz, usetz
formatting related arguments, see format.POSIXct.
format.value
a string which specifies the formatting of the values when printing an irregular time-series object. format.value is passed unchanged as argument format to the function formatC

Value

  • For time an object of class "POSIXct" representing the sequence of times. For value a vector or matrix representing the sequence of values.

    For [.irts an object of class "irts" representing the extracted part. For plot, points, lines, and print the irregular time-series object.

Details

plot is the method for plotting irregular time-series objects.

points and lines are the methods for drawing a sequence of points as given by an irregular time-series object and joining the corresponding points with line segments, respectively.

print is the method for printing irregular time-series objects.

time and value are the methods for extracting the sequence of times and the sequence of values of an irregular time-series object. [.irts is the method for extracting parts of irregular time-series objects.

See Also

irts, irts-functions

Examples

Run this code
n <- 10
t <- cumsum(rexp(n, rate = 0.1))
v <- rnorm(n)
x <- irts(t, v)

x
time(x)
value(x)
plot(x)
points(x)

t <- cumsum(c(t[1], rexp(n-1, rate = 0.2)))
v <- rnorm(n, sd = 0.1)
x <- irts(t, v)

lines(x, col = "red")
points(x, col = "red")

# Multivariate
t <- cumsum(rexp(n, rate = 0.1))
u <- rnorm(n)
v <- rnorm(n)
x <- irts(t, cbind(u, v))

x
x[,1]
x[1:3,]
x[1:3,1]
plot(x)

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