sfsmisc, ggplot2, magrittr, dplyr, rlang, tidyr (>= 1.0.0),
purrr, Hmisc, tibble

Forest Yield Tables for Northwest Germany and their Application
c(
person("Robert", "Nuske", role=c("aut", "cre"),
email="robert.nuske@mailbox.org",
comment=c(ORCID="0000-0001-9773-2061")),
person("Kai", "Staupendahl", role="aut",
comment=c(ORCID="0000-0001-6595-3601")),
person("Matthias", "Albert", role="aut",
comment=c(ORCID="0000-0003-0344-4806")),
person("Nordwestdeutsche Forstliche Versuchsanstalt (NW-FVA)",
role=c("cph", "fnd")))
The new yield tables developed by the Northwest German Forest
Research Institute (NW-FVA) provide a forest management tool for the five
main commercial tree species oak, beech, spruce, Douglas-fir and pine for
northwestern Germany. The new method applied for deriving yield tables
combines measurements of growth and yield trials with growth simulations
using a state-of-the-art single-tree growth simulator. By doing so, the new
yield tables reflect the current increment level and the recommended
graduated thinning from above is the underlying management concept. The yield
tables are provided along with methods for deriving the site index and for
interpolating between age and site indices and extrapolating beyond age and
site index ranges. The inter-/extrapolations are performed traditionally by
the rule of proportion or with a functional approach.
Robert Nuske [aut, cre] (<https://orcid.org/0000-0001-9773-2061>),
Kai Staupendahl [aut] (<https://orcid.org/0000-0001-6595-3601>),
Matthias Albert [aut] (<https://orcid.org/0000-0003-0344-4806>),
Nordwestdeutsche Forstliche Versuchsanstalt (NW-FVA) [cph, fnd]

A table function for descriptive statistics in tabular
format, using variables in a data.frame. You can create simple
or highly customized tables.

A table function for descriptive statistics in tabular format, using variables in a data.frame. You can create simple or highly customized tables.

Creates simple to highly customized tables for a wide selection of descriptive statistics, with or without weighting the data.