Methods for irregular time-series objects.
# S3 method for irts
lines(x, type = "l", …)
# S3 method for 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 irts
points(x, type = "p", …)
# S3 method for irts
print(x, format = "%Y-%m-%d %H:%M:%S", tz = "GMT",
usetz = TRUE, format.value = NULL, …)
# S3 method for irts
time(x, …)
# S3 method for irts
value(x, …)
# S3 method for irts
[(x, i, j, …)
an object of class "irts"
; usually, a result
of a call to irts
.
formatting related arguments, see
format.POSIXct
.
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
.
indices specifying the parts to extract from an irregular time-series object.
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.
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.
# NOT RUN {
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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