Description Usage Arguments Details Value Author(s) See Also Examples

Generic functions for replacing each `NA`

with Stineman interpolated values.

1 2 3 | ```
na.stinterp(object, ...)
## Default S3 method:
na.stinterp(object, along = time(object), na.rm = TRUE, ...)
``` |

`object` |
object in which |

`along` |
variable to use for interpolation. Has to be numeric, is otherwise coerced to numeric. |

`na.rm` |
logical. Should leading and trailing |

`...` |
further arguments passed to methods. |

Missing values (`NA`

s) are replaced by piecewice rational
interpolation via `stinterp`

.

By default the time index associated with `object`

is used
for interpolation. Note, that if this calls `time.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.

An object in which each `NA`

in the input object is replaced
by interpolating the non-`NA`

values before and after it.
Leading and trailing `NA`

s are omitted (if `na.rm = TRUE`

)
or not replaced (if `na.rm = FALSE`

).

Gabor Grothendieck

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | ```
na.stinterp(c(2,NA,1,4,5,2))
na.stinterp(ts(c(2,NA,1,4,5,2)))
## Not run:
#comparison of gap filling with na.stinterp/stinterp and splines,
#the solid lines show the continuous interpolation functions
#implicitly assumed by the gap-filling, they show how the Stineman
#interpolation restricts the range of the interpolant to the
#nearby range of the points and suppresses the well known oscillations
#characteristic of splines and other methods based on polynomials
x <- 1:6
y <- c(2,NA,1,4,5,2)
plot(x,y,ylim=c(-1,5))
points(na.stinterp(c(2,NA,1,4,5,2)),pch=2,col=2)
points(spline(x,y,n=6),pch=3,col=3)
lines(stinterp(x[!is.na(y)],y[!is.na(y)],xout=seq(1,6,by=0.1)),col=2)
lines(spline(x,y,n=50),col=3)
library(zoo)
na.stinterp(zoo(c(2,NA,1,4,5,2)))
library(its)
na.stinterp(its(c(2,NA,1,4,5,2), seq(Sys.time(), length = 6, by = "day")))
## End(Not run)
``` |

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