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.
fillis used to keep the length of vector identical.
You can install the development version from Github.
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_nocb that consider the location of the observations before performing the filling.
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.