pavo 2.4.0

NEW FEATURES AND SIGNIFICANT CHANGES

Fixed a bug introduced in version 2.3.0 that gave wrong values for S1UV and S1V in summary.rspec().
several plot() functions for colspace (triplot(), tcsplot(), tetraplot()) gain a new gamut argument to plot the maximum gamut for a given visual system and illuminant. summary.colspace() also now returns the maximum colour volume for a given visual system and illuminant that you can use to compare to the realised volume by a given dataset. More information in PR #180.
parallel processing now relies on the future package, which offers windows and high performance computing (HPC) environments support. The progress bar is produced by the progressr package and can be customised as well. As a consequence, the cores argument in getspec(), adjacent() and classify() has been deprecated.

MINOR FEATURES AND BUG FIXES

fixed a plotting bug introduced in version 2.3.0 where it was required to run projplot() twice for the background grid to be displayed.
fixed a bug in summary.colspace() where NULL was returned instead of summary.data.frame() for non-tcs colourspaces.
fix partial matching warnings in examples and in bootcooldist()
the package has a new website at pavo.colrverse.com
fixed a bug in coldist()that prevented the calculation of achromatic contrast when using custom quantum catch data

pavo 2.3.0

NEW FEATURES AND SIGNIFICANT CHANGES

plot.rspec() now adds a linear spectrum alongside the x-axis to show the hues corresponding to each wavelength (controlled by the wl.guide boolean argument).
cieplot() (and therefore plot.colspace() for CIEXYZ model) now adds the background of the CIEXYZ colour space by default. This can be turned off by switching the ciebg argument to FALSE.
voloverlap() uses a different algorithm to determine volume overlaps, which means:
- computation is now much more efficient
- voloverlap() now works for trispace() objects as well
- accordingly, first two arguments of voloverlap() has been renamed colsp1 and colsp2 instead of tcsres1 and tcsres2
- slow and possibly inaccurate montecarlo option has been deprecated

MINOR FEATURES AND BUG FIXES

errors during argument checks in vismodel() now have more explicit messages.
all pavo functions (excepted vismodel() and spec2rgb()) now work with sub-nm precision, for rspec objects with non-integer wavelengths.
summary.colspace() no longer fails for tcs objects with only one row.
vismodel() now works for monochromats as well.
procspec(opt = "bin") no longer counts bin edges twice (once in each consecutive bin). This will cause changes in the bin stops compared to earlier versions of this function.
coc() and categorical() spaces now return Weber luminance contrast by default when passed through coldist(), rather than nothing (as per the original publications).
coldist() can now take multiple values for weber, when Weber fractions are known for all receptor classes
summary.rspec() no longer errors for a single spectrum when the wavelength range does not contain 450-700nm

pavo 2.2.0

NEW FEATURES AND SIGNIFICANT CHANGES

added k-medoids clustering as an option in classify()
coldist() now returns unweighted Euclidean distances for generic di-, tri-, and tetra-chromatic colspace() models. Users wishing to estimate noise-weighted distances (i.e. via the receptor-noise limited model) should continue to use coldist() directly on vismodel() objects, as previously.

MINOR FEATURES AND BUG FIXES

added a message to indicate what distance metric is being calculated during calls to coldist()
vismodel(), colspace(), and coldist() now always return lum and dL columns, for consistency
irrad2flux() and flux2irrad() use slightly more precise constant values, which may lead to slightly different results (less than 0.1% difference between this new version and the previous versions)
getimg() can now import images from URL’s
the cores argument in getimg() is deprecated, as image import is vectorised
fixed a small bug in classify() when using refID and kcols for multiple images
the resize argument in procimg() now takes a percentage, rather than scaling factor
fixed a bug where colspace(space = segment) would return both a B and (redundant) lum column
fixed a bug where the rod sensitivity of Canis familiaris was inaccessible through vismodel()
fixed an issue in getspec() where badly encoded characters in some spectral files would cause failure
fixed a bug where coldist() would attempt to estimate receptor-noise weighted distances rather than cie-distances for cielch model results

pavo 2.1.0

NEW FEATURES AND POTENTIALLY BREAKING CHANGES

added the argument reclass to procimg(), which allows users to interactively correct areas within images that have been misclassified
added the rod sensitivity of Canis familiaris
peakshape() uses a completely different algorithm to find the FWHM. It now works as expected for spectra with multiple peaks. See PR #137 for a detailed overview of the changes.
data used internally by pavo (bgandilum, transmissiondata, ttvertex, vissyst) is no longer exposed to users

MINOR FEATURES AND BUG FIXES

new functions is.vismodel() and is.colspace() are exported to test whether an object is of class vismodel or colspace, respectively
fixed a bug where images would sometimes be wrongly detected as user-classified in as.rimg()
the UV-sensitive cone is now only always named “u”, even for VS species (such as pfowl and avg.v in vismodel() and sensdata()). This removes an unnecessary but harmless warning when colspace() was used to place quantum catches of such species in the tetrahedral colour space.
the achro argument in coldist() has been changed for achromatic to better match the arguments from vismodel(). Older scripts that use achro should not be affected and still work as before.
the package imager is no longer a dependency, and is only loaded if using some features of procimg().
the package mapproj is no longer a dependency, and is only loaded if using projplot().
added the argument labels.stack to plot.rspec, which allows the use of custom spectra labels in stacked plots.
users now receive a warning when interpolating beyond the limits of the data using as.rspec, and can control the behaviour with the new argument exceed.limits.
all deprecated functions and arguments have now been fully removed.
as.rspec() now accepts both numeric and character vectors to identify the wavelength column using whichwl (eg. whichwl = "wl").
Reference images in classify() can now be specified using either a numeric vector (to identify by image position in a list) or character vector (to identify by image name).
fixed a bug in aggspec() when wavelength column was previously removed by the user.
fixed a bug where cocplot() would failed whenever type graphical parameter was specified.
spec2rgb() has been simplified to rely more on vismodel(). As a result, output values may be slightly different but upon testing, we found that differences between the old and the new version were barely noticeable.
the vignette have been split into three smaller parts, which should help new users to get started with pavo
numerous under-the-hood changes for stability and speed, with thanks to three reviewers and an associate editor at MEE.

pavo 2.0.0

NEW FEATURES

image-based workflow for the combined analysis of colour and pattern geometry
added the visual systems of the (trichromatic) jumping spider Habronattus pyrrithrix and the (trichromatic) triggerfish Rhinecanthus aculeatus
getspec() can now read Avantes binary files (.TRM files)

MINOR FEATURES AND BUG FIXES

Carotenoid chroma (S9) in summary.rspec() has been fixed to (R700 - R450)/R700. This gives the same result as before but with a flipped sign, and better reflects the original formula in the literature.
cieLAB values have been rescaled, and are expressed in the more standard range: L [0,100], ab [-128,127]
getspec() has an additional argument ignore.case set to TRUE by default to ignore case in file extension matching
fix a bug where getspec() would sometimes fail with files including numbers in scientific format
add a new option in tetraplot() to add cone names (u,s,m,l)

pavo 1.4.0

NEW FEATURES

getspec() can now read OceanOptics .ProcSpec files
added the visual system of Ctenophorus ornatus, the (trichromatic) ornate dragon lizard

MAJOR CHANGES

getspecf() (and the argument fast = TRUE in getspec()) have been deprecated
summary.rspec() returned incorrect values for S7. If you use S7, please re-run your analyses

MINOR FEATURES AND BUG FIXES

summary.rspec() now properly outputs NA for monotonically decreasing spectra
fixed warning when subset.rspec() was provided with a logical vector
fixed harmless warning when summary.colspace() was used on a tcs object
by argument in merge.rspec() is no longer ignored
fixed bug in voloverlap() when plot = TRUE
fixed bug in vismodel() when transmission has more than one column
fixed bug in vismodel() that applied von Kries correction to achromatic channel
added argument fill=FALSE in voloverlap()
fixed bug in jndplot() when suppressing the plotting of arrows
better handling of subset data when using summary.colspace() and summary.vismodel()
fixed bug in coldist() when noise = "quantum" and achro = TRUE were used
fixed bug in jndplot() when arrow = "none" and achro = TRUE
spec2rgb() now takes into account the 390-400 nm wavelength range into account when possible
as.rspec() no longer fails with tibbles
bin option of procspec() now works for all values of bins
non-relative quantum catches from dataframe object were not correctly scaled in “di”, “tri”, “categorical” and “coc” colorspaces
fixed a bug in colspace() where it would incorrectly infer a preference for a general trichromatic space, when a cie model is more appropriate
fixed a bug so that cie color matching functions can be more easily be used in a general trichromatic space (i.e. maxwell triangle)

pavo 1.3.1

NEW FUNCTIONS

bootcoldist() uses bootstrap to calculate the confidence intervals on the mean color distance between samples

MINOR FEATURES AND BUG FIXES

fixed bug in coldist() when fewer samples than the number of photoreceptors
fixed bug in getspec() that would cause it to crash with errors
fixed bug in tetraplot() when saving images

pavo 1.3.0

NEW FUNCTIONS

jnd2xyz() converts distances (in JND, resulting from a coldist() call) into cartesian coordinates
plot() methods for objects resulting from jnd2xyz()
jndrot() produces rotations of Cartesian coordinates resulting from jnd2xyz()
coldist2mat() converts coldist() result from a pairwise data.frame to a distance matrix
sensdata() function for retrieving and/or visualising pavo’s in-build spectral data

MAJOR CHANGES

tetraplot() and cieplot() have been completely rewritten to allow finer viewing control
tetraplot() allows forced perspective using size to denote distance
voloverlap() and vol() have also been changed to work with the new tetraplot() options
getspec() has been rewritten to be faster, more general, and allow parallel processing
subset functions now allow more than one argument to be used, and allow further attributes to be passed onto grep (e.g. invert = TRUE)

MINOR FEATURES AND BUG FIXES

fixed bug in coldist() on log-transformation when object was neither of class vismodel nor colspace
fixed bug in dL calculation when input is a colspace object
fixed bug in vismodel() when a data frame, matrix or rspec object was passed as the background
fixed bug in colspace() models when using non-standard receptor names or ordering
fixed bug in hexagon() model when calculating location & metrics for achromatic stimuli
fixed location of red vertex in tetraplot()
fixed bug in the argument names for expanding text labels in colspace plots
removed na.rm argument from aggspec() that was causing a bug when the error function did not have that argument. User should pass it as an argument to the function if necessary.
changed default to achro=FALSE in coldist()
replaced the modelled receptor sensitivities of the honeybee Apis mellifera with the empirical sensitivities from Peitsch et al (1992)
the built-in ‘green’ background spectrum is no longer normalized
removed wavelength limitations in the calculation of H3 from summary.rspec
all visual systems (except CIE) have been normalized to have an integral of 1

pavo 1.2.0

MAJOR CHANGES

added the CIELch model accessed via colspace(space = ‘cielch’)
added the sensdata() function for retrieving and/or visualising pavo’s in-build spectral data

MINOR FEATURES AND BUG FIXES

vignettes have been amalgamated & the single, main vignette is now up-to-date
added more informative labels for the segment analysis plot

pavo 1.1.0

NEW FUNCTIONS

segspace() replaces the deprecated segclass(), and is accessed via the colspace() argument space = ‘segment’. The results of segspace() are also now compatible with coldist() for the estimation of Euclidean colour-distances.
segplot() is a plot for Endler’s (1990) segment analysis, and is accessed — along with all other 2d plots — via plot.colspace()

MINOR FEATURES AND BUG FIXES

the use of relative quantum catches is now optional in the categorical colorspace (though still produces a warning), for greater flexibility
updated several functions to work when rspec object has only one spectrum
fixed bug in voloverlap where interactive plots would result in error
fixed incorrect labels in the maxwell triangle plot
fixed a bug in as.rspec() in which lim was not applied when interpolate = FALSE
fixed bug in aggplot() which resulted in error when using lty, lwd arguments
warning if ocular media is being used in both vismodel() and sensmodel()
added an ‘all’ option to the achromatic argument in vismodel()
added the ability to calculate dL for cielab models in coldist()
added some more informative messages and warnings

pavo 1.0

See vignette for detailed description of changes.

MAJOR CHANGES

coldist() arguments have been changed. Now the empirically estimated value for the Weber fraction must be entered, instead of the noise-to-signal ratio. The noise-to-signal ratio is then calculated based on the empirically estimated Weber fraction for the reference cone type, and applied to the remaining cone types. This should avoid confusion between empirically estimated values for the Weber fraction and the noise-to-signal ratio, which are currently prevalent in the literature.
coldist() now has an additional argument, weber.achro, so that the value for the Weber fraction to be used to calculate achromatic contrast can be input independently of the cone ratios.
tcs() is deprecated, replaced by colspace().

NEW FUNCTIONS

colspace() replaces tcs() and introduces several new colorspaces
plot() methods for several colspace() outputs, including a static tetrahedral colorspace
projpoints() allows the plotting of points in a projplot() figure
vol() draws volume polygons in static tetrahedral plots
axistetra() draws reference x, y and z axis arrows in static tetrahedral plots
legendtetra() adds legends to static tetrahedral plots

MINOR FEATURES AND BUG FIXES

summary.colspace() for tcs spaces now returns relative color volume as well as absolute
tcsvol() and voloverlap() now allow control for line width
procspec() fixed error when attempting to smooth rspec object without column names
procspec() handles smoothing before fixing negatives to avoid re-adding negatives when smoothing
procspec(), aggplot() accept additional arguments to summary functions (e.g., na.rm=TRUE)
peakshape() default wavelength limits (lim) now taken from rspec object rather than 300-700
peakshape() returns warning if a spectrum contains duplicate reflectance values
summary.rspec() works with single spectra
aggplot() and aggspec() fixed bug on ordering of levels when they don’t match the sequence in the rspec object
aggplot() added logical argument “legend” for automatically adding a legend to the plot
vismodel() returns error if bkg=NULL
getspec() patched to stop returning warnings in Yosemite
getspec() has a faster (~5-10X), but less flexible, algorithm used when all input files are from the same source.

pavo 0.5-6

BUG FIXES

fixed bug in calculation of dichromat contrast in coldist()

pavo 0.5-5

MINOR FEATURES AND BUG FIXES

fixed bug in calculation of H3 in summary.rspec()

pavo 0.5-4

MINOR FEATURES AND BUG FIXES

changed default values for coldist()

pavo 0.5-2

MINOR FEATURES AND BUG FIXES

fixes to the blue tit visual system, changed vismodel() argument to “bluetit”

pavo 0.5-1

MINOR FEATURES AND BUG FIXES

vismodel() accepts matrix, data.frame or rspec objects for the illuminant, updated warning messages associated with this use
vismodel() accepts user-defined achromatic receptors
tcsplot(), tcsvol() & tcspoints(): transparency control passed to user
getspec() works with OceanView files

pavo 0.5

updated citation()

MINOR FEATURES AND BUG FIXES

vismodel() vonkries = TRUE does not return a NULL result
vismodel() works with a single spectrum object
tcsplot() allows greater control of tetrahedron appearance
summary.rspec() allows for user-defined minimum wavelength (for calculation of UV variables)

pavo 0.3-1

NEW FUNCTIONS

irrad2flux() and flux2irrad() to convert illuminant measurements

MINOR FEATURES AND BUG FIXES

vismodel() less cryptic error messages
as_rspec() fix message pertaining wavelength column
getspec() now removes empty columns (generated by bad tabulation)
plot.rspec() fix color labelling issue (previously, when user specified fewer colors than number of spectra, ‘stack’ and ‘overlay’ colored spectra differently)

pavo 0.3

NEW FUNCTIONS

subset() class methods for rspec, vismodel and tcs
summary() method for vismodel, returns attributes used in visual model

VISUAL MODEL

vismodel() output includes only Qi or fi (as selected by qcatch argument)
vismodel() von Kries correction is now an optional argument
coldist() subset argument for partial filtering
Updated sensitivity curves

MINOR FEATURES

getspec() works with Avasoft 8 output
aggspec() if no “by” argument is supplied, applies function to all spectra

BUG FIXES

tcs() accepts receptor names other than usml, issues warning
aggplot() allows control for different line types per spectra
voloverlap() now assigns darkgrey color for overlap if color vector is of length 1 or 2

pavo 0.1-2

NEW FUNCTIONS

merge.rspec() combines rspec objects in a single object

VISUAL MODEL

Changed vismodel() output: von Kries correction is now an optional argument, output includes only Qi and fi
vismodel() accepts a scale parameter (multiplies illuminant in order to make it in flux units)
coldist() includes option for receptor noise calculation
Updated sensitivity curves

MINOR FEATURES

sensmodel() accepts user-defined ocular media transmission
voloverlap() allows greater user control of plotting options
voloverlap() includes Monte Carlo option for overlap calculation
as.rspec() accepts “whichwl” argument for user-defined wavelength column selection
as.rspec() includes “interp” argument; updated automatic search for wavelength column
aggspec() aggregates spectra by multiple vectors (e.g. average spectra by species and sex using by=list(species,sex) )
peakshape() gives plot titles, allows ask=TRUE and mfrow

BUG FIXES

explorespec() “free” argument fixed
summary.rspec() S5 variable fixed; segments now divided by B1 (brightness-independent measure of saturation)
summary.rspec() checks for positive values when bmaxneg is calculated, returns NA
tcs() accepts “v” cone class
aggspec() fixed matching of names
procspec() works with rspec objects that include a single reflectance spectrum
peakshape() minor fixes