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syntable()
: Fixes in fidelity calculation when using
the u-value; added Fishers’s exact test to exclude non-significant
fidelitysyntable()
: Added options for standardization of sample
group sizehcr_resampling()
: Added checks for groups limitssynsort()
and
syntable()
: Both refer to groups instead of clusters
now.hcr_resampling()
to perform
heterogeneity-constrained random (HCR) resampling (Lengyel, Chytrý &
Tichý, 2011)syntable()
: Added new options of fidelity calculation
(u-value and Ochiai index); improved speed using more vectorised
computationssyntable()
: Added option to calculate synoptic tables
from long-format vegetation data; implemented with
data.table
for faster performance on large databases.synsort()
: Added method = "totalfreq"
(order species by overall frequency) and method = "manual"
(order by a user-supplied vector).synsort()
: The species–sample matrix is no longer
returned by default (for faster performance on large datasets); set
samples = TRUE
to include it.synsort()
: Added cluster_order
to select
and order cluster columns; columns not listed are omitted.per2cov()
: Fixed a mistake leading to wrong cover value
assignments in specific casessyntable()
: Added argument to define number of decimal
places in resultsclean_matrix()
: Empty cell values are transformed to 0;
fixed to work correctly with non-numeric values in data tablescov2per
and per2cov
: Added option to
transform with individual scales per sampletrans_matrix()
: Added option rmchar
to
remove the first character of the original column namesclean_matrix()
to remove species without
occurrences (frequency = 0) and samples without species from a species
matrix in one simple steptrans_matrix()
to transpose a species
matrix, while preserving correct species and sample names.merge_taxa()
with increased
performance
backtransform
to decide whether
cover-abundance values should be kept as percentage cover or
back-transformed into original cover-abundance valuesdrop_zero
renamed to clean_matrix
and set on FALSE by defaultcov2per
: Fixed an error when providing a data frame
with only one column as community datasyntable
: Fixed an unnecessary warning message
occurring at cover value transformationx
-value to presence/absence scalemerge_taxa()
:
drop_zero
to decide whether species
without occurrences or empty samples should be removed or keptsyntable()
and merge_taxa()
automatically
repair imported tables with empty character values (““)syntable()
can now handle factorial variables for
defining clusters, e.g. to summarize relevés according to pre-defined
categories and is more flexible regarding the format of the community
matrixmerge_taxa()
for merging taxa/species with identical
namescov2per()
and per2cov()
for conversion
between cover-abundance codes and percentage coverdimcheckMDS()
is renamed into
screeplot_NMDS()
with enhanced description and progress
barracurve()
when
freq = TRUE
deg2rad()
and rad2deg()
for conversion between radians and degreesschedenenv
specresponse()
specresponse()
when showing
point valuesspecresponse()
specresponse()
. Full model results are returned in an
(invisible) object.ordiselect()
syntable()
and synsort()
ordiselect()
. Now returns
exact proportion of selected species. Correction in selection to axis
fit limits. Variable fit now only works with factor centroids.synsort()
and
syntable()
due to unsolved incompatibilitiesspecresponse()
racurve()
ordiselect()
syntable()
and synsort()
specresponses()
/specresponse()
into
one single function specresponse()
specresponse()
gam()
,
rdist()
)specresponse()
specresponse()
/specresponses()
: now works also
with NMDS, includes zero values and is based on presence/absence data
(logistic regression). Instead of cubic smoothing splines the function
now uses GLMs/GAMs.racurve()
racurve()
racurve()
racurve()
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They may not be fully stable and should be used with caution. We make no claims about them.
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