write.tridas(rwl.df = NULL, fname, crn = NULL, prec = NULL, ids = NULL,
titles = NULL, crn.types = NULL, crn.titles = NULL, crn.units = NULL,
tridas.measuring.method = NA, other.measuring.method = "unknown",
sample.type = "core", wood.completeness = NULL, taxon = "",
tridas.variable = "ring width", other.variable = NA,
project.info = list(type = c("unknown"), description = NULL,
title = "", category = "", investigator = "", period = ""),
lab.info = data.frame(name = "", acronym = NA, identifier = NA,
domain = "", addressLine1 = NA, addressLine2 = NA, cityOrTown = NA,
stateProvinceRegion = NA, postalCode = NA, country = NA),
research.info = data.frame(identifier = NULL, domain = NULL,
description = NULL),
site.info = list(type = "unknown", description = NULL, title = ""),
random.identifiers = FALSE, identifier.domain = lab.info$name[1])data.frame containing tree-ring ring widths in millimetres
with the series in columns and the years as rows. The series ids are
the column names and the years are the row names. This type of
data.frame is produced by data.frame or a list of data.frames containing tree-ring
chronologies. Accepts data.frames of the type produced by
chron. Additionally, allows several chronologies per
data.frame. numeric indicating the rounding precision of the
output file when writing the data contained in rwl.df.
Defaults to NULL -- no rounding is done and the measurements
are written in (non-integer) mdata.frame with column one named data.frame with column one named character vector or a list of charater vectors giving
the types of the derived series in crn. A single vector is
interpreted as one type per data.frame in crn, recycled if
not long enough. character vector or a list of charater
vectors giving the titles of the derived series in crn. The
interpretation is the same as with crn.types, except that the
default is to derivecharacter vector or a list of charater
vectors giving the units of the derived series in crn. The
interpretation is the same as with crn.types, except that the
default is to mark thcharacter vector giving the measuring method used to acquire
each series of rwl.df. Partial matching is used to replace
these with the complete terms in tridas.vocabularycharacter vector giving the measuring method used to acquire
each series of rwl.df. In contrast to
tridas.measuring.method, these are free-form strings in
English. If the vector is shorter than the numbcharacter vector giving the type of the samples,
corresponding to ids. The length of the
vector, however, must match the number of columns in rwl.df,
or it is recycled tdata.frame giving wood completeness information for
the measurement series in rwl.df. The number of rows must
match the number of columns in rwl.df. The columns are
expected to be a subset of tcharacter string. The most detailed taxonomic name known for
this element (species, genus, family etc). Preferably from the
Catalogue of Life (www.catalogueoflife.org) controlled vocabulary.
The same string is used for all of character string. Measured variable (ring width, earlywood,
latewood etc) taken from the TRiDaS controlled vocabulary
(tridas.vocabulary, category character string. Measured variable as a free-form string.
The same string is used for all of rwl.df. This is only used
if tridas.variable is NA.list containing information about the project. Elements are
the following (includes quotes from the TRiDaS specification):
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]data.frame. Information about the dendrochronological
research laboratories where this work was done. One row per
laboratory. Defaults to one laboratory with an empty name and no
other information. The columns are expected to bdata.frame with information about the systems in
which the research project is registered. Columns are the following:
[object Object],[object Object],[object Object]list containing information about the site
(character strings:
[object Object],[object Object],[object Object]logical flag. If TRUE, unique random identifiers are
created with uuid.gen and attached to each
character string. The domain which the random identifiers
are applicable to. Could be the URL of the organisation's server or
the name of the organisation as long as it is not ambiguous.
Defaults to the name of the first laboratwrite.rwl, write.tucson,
write.compact, write.crn,
read.tridasdata(co021)
write.tridas(rwl.df = co021, fname = 'tmp.xml', prec=0.01,
site.info=list(title="Schulman old tree no. 1, Mesa Verde",
type="unknown"),
taxon="Pseudotsuga menziesii var. menziesii (Mirb.) Franco",
project.info = list(investigator = "E. Schulman",
title="", category="", period="", type="unknown"))Run the code above in your browser using DataLab