Univariate time series operations that follow an opinionated design. The
main principle of transx
is to keep the number of observations the
same. Operations that reduce this number have to fill the observations
gap.
fill
is used to keep the length of
vector identical.na.rm
: Which setsna.rm = TRUE
by default when needed to.keep.attrs
: Which after manipulations the new series would retain
the same attributes.display
: Display informative message for the transformation
procedure.You can install the development version from Github.
remotes::install_github("transx")
This is a basic example with lagged and leading values. fill
can be
achieved either by value or by function. The function can be a build-in
function such as mean, or median, that fill-in by a single values, or it
can be of the fill_*
family such as fill_locf
and fill_nocb
that
consider the location of the observations before performing the filling.
library(transx)
x <- c(5,3,2,2,5)
lagx(x)
#> [1] NA 5 3 2 2
lagx(x, fill = 1)
#> [1] 1 5 3 2 2
lagx(x, fill = mean)
#> [1] 3 5 3 2 2
lagx(x, fill = fill_nocb)
#> [1] 5 5 3 2 2
Please note that the transx project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
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