Package 'zoo' - CRAN

20 na.approx
Usage
na.approx(object, ...)
## S3 method for class ’zoo’
na.approx(object, x = index(object), xout, ..., na.rm = TRUE, along)
## S3 method for class ’zooreg’
na.approx(object, ...)
## S3 method for class ’ts’
na.approx(object, ...)
## Default S3 method:
na.approx(object, x = index(object), xout, ..., na.rm = TRUE, maxgap = Inf, along)
na.spline(object, ...)
## S3 method for class ’zoo’
na.spline(object, x = index(object), xout, ..., na.rm = TRUE, along)
## S3 method for class ’zooreg’
na.spline(object, ...)
## S3 method for class ’ts’
na.spline(object, ...)
## Default S3 method:
na.spline(object, x = index(object), xout, ..., na.rm = TRUE, maxgap = Inf, along)
Arguments
Details
object object in which NAs are to be replaced
x, xout Variables to be used for interpolation as in approx.
na.rm logical. Should leading NAs be removed?
maxgap maximum number of consecutive NAs to fill. Any longer gaps will be left unchanged.
Note that all methods listed above can accept maxgap as it is ultimately
passed to the default method.
along deprecated.
... further arguments passed to methods. The n argument of approx is currently
not supported.
Missing values (NAs) are replaced by linear interpolation via approx or cubic spline interpolation
via spline, respectively.
It can also be used for series disaggregation by specifying xout.
By default the index associated with object is used for interpolation. Note, that if this calls
index.default this gives an equidistant spacing 1:NROW(object). If object is a matrix or
data.frame, the interpolation is done separately for each column.
If obj is a plain vector then na.approx(obj, x, y, xout, ...) returns approx(x = x[!na], y = coredata(obj)[!na
(where na indicates observations with NA) such that xout defaults to x.