Package index • fellingdater

Sapwood functions

sw_model(): Model sapwood data and compute the highest posterior density interval

sw_model_plot(): Plot function for the output of sw_model()

sw_interval(): Computes the limits of the felling date range

sw_interval_plot(): Plot function for the output of sw_interval()

fd_report(): Report felling dates of individual tree-ring series

sw_combine(): Combine multiple sapwood estimates into a single felling date range

sw_combine_plot(): Plot the output of sw_combine()

sw_sum(): Compute the summed probability of multiple felling date ranges

sw_sum_plot(): Plot the output of sw_sum()

Synthetic tree-ring series

trs_pseudo_rwl(): Create a pseudo-population of tree-ring series

Tree-ring data manipulation

trs_select(): Select series from an rwl-style data frame

trs_remove(): Removes one or more series from an rwl-style data frame

trs_trim(): Trim leading and trailing rows with only NA values from a tree-ring data frame

trs_plot_rwl(): Plot all series in a tree-ring width dataframe

Tree-ring dating

trs_crossdate(): Sliding window crossdating analysis using multiple statistical methods

trs_end_date(): Assign calendar years to tree-ring series in an rwl-style data frame

trs_plot_dated(): Plot a dated tree-ring series with a reference series or chronology

Helper functions

read_fh(): Read a Heidelberg format (.fh) tree-ring file

fh_header(): Retrieve the HEADER fields of a Heidelberg format (.fh) file

cor_table(): Calculate correlation values between tree-ring series

sw_data_overview(): Overview of available sapwood data sets in the fellingdater package

sw_data_info(): Detailed information on a sapwood data set

hdi(): Compute the highest posterior density interval (hdi)

mov_av(): Compute a running mean on a time series

trs_pv(): Computes statistics to describe parallel variations between two rwl-style data frames

trs_tSt(): Compute Student's t-statistics from correlation coefficients

trs_tbp(): Compute Baillie & Pilcher-style t-values between all series in two rwl-style data frames

trs_tbp_transform(): Pre-transform tree-ring series using Baillie & Pilcher method

trs_tho(): Compute Hollstein-style t-values between all series in two rwl-style data frames

trs_tho_transform(): Pre-transform tree-ring series using Hollstein method

trs_zscore(): Standardize tree-ring series to z-scores

sgc_for_plot(): Detect synchronous growth changes between two tree-ring series ( helper for trs_plot_dated() )

Datasets

Brathen_1982: Brathen 1982 sapwood data set.

Hollstein_1980: Hollstein 1980 sapwood data set.

Miles_1997_NM: Miles 1997 sapwood data set.

Miles_1997_SC: Miles 1997 sapwood data set.

Miles_1997_WBC: Miles 1997 sapwood data set.

Pilcher_1987: Pilcher 1987 sapwood data set.

Sohar_2012_ELL_c: Sohar et al. 2012 sapwood data set.

Sohar_2012_ELL_t: Sohar et al. 2012 sapwood data set.

Sohar_2012_FWE_c: Sohar et al. 2012 sapwood data set.

Sohar_2012_FWE_t: Sohar et al. 2012 sapwood data set.

vanDaalen_NLBE: van Daalen (unpublished) sapwood data set.

vanDaalen_Norway: van Daalen (unpublished) sapwood data set.

Wazny_1990: Wazny 1990 sapwood data set.

Weitz_2025: Weitz 2025 sapwood data set.

Example data

sw_example0: Example dataset 0

sw_example1: Example dataset 1

sw_example2: Example dataset 2

sw_example3: Example dataset 3

sw_example4: Example dataset 4

sw_example5: Example dataset 5

sw_example6: Example dataset 6

sw_example7: Example dataset 7

About

fellingdater-package fellingdater: fellingdater: Tree-ring dating and estimating felling dates of historical timbers