envalysis 0.7.0
New Features
predict()
method for class ‘calibration
’
envalysis 0.6.0
New Features
- Inverse predict concentrations from calibration curves using
inv_predict()
as.list()
method for class ‘calibration
’
- pkgdown documentation
Minor Improvements
- Code coverage
- GitHub Actions for macOS
- Don’t export
mselect()
fork anymore; use drc::mselect()
instead
envalysis 0.5.5
Minor Improvements
- The
check_assumptions
argument in calibration()
is now less verbose; test results may be retrieved by calling print()
- Replaced
size
argument in ggplot2::element_rect()
and ggplot2::element_line()
with linewidth
- Update SOP for particle size estimations using
texture()
- Changed maintainer email address
- Corrected typos
envalysis 0.5.4
Bug Fixes
- skip tests for ggplot2 v3.4.0 due to deprecation warnings; replace
size
argument in ggplot2::element_rect()
with linewidth
later
envalysis 0.5.3
Bug Fixes
envalysis 0.5.2
Minor Improvements
- Update GitHub Actions
- Tidy news file
Bug Fixes
- Fix ‘invalid nsmall argument’ error when using
signifig()
with certain value combinations
envalysis 0.5.1
New Features
- Finding optimum weights for weighted calibrations using
weight_select()
- Calculating matrix effects (signal suppression/enhancement) with
matrix_effect()
calibration()
now checks for model assumptions
Minor Improvements
- Additional “blanks” parameter introduced to
calibration()
, lod()
, and loq()
- Snapshot testing
- Improved and more consistent documentation
envalysis 0.4.2
Minor Improvements
- Move to testthat 3rd edition
Bug Fixes
- Fix regression when using weights in
calibration()
envalysis 0.4.1
New Features
- First preparations for weights support in
calibration()
Minor Improvements
- Rename master branch to main
Bug Fixes
- Update
testthat::expect_equal()
calls to keep compatibility with R 4.1.0
envalysis 0.4.0
Minor Improvements
texture()
now takes data as formula
- tibble support for
texture()
loq()
iterates only until significant digits won’t change anymore
Bug Fixes
- Force percentage bounds for
texture()
to 0 and 100
- Increased margins for
theme_publish()
envalysis 0.3.3
Minor Improvements
- First CRAN release
- Better package description
envalysis 0.3.2
Bug Fixes
- Reimplementation of drc’s
mselect()
for texture()
to get rid of global variables
envalysis 0.3.1
Minor Improvements
loq()
now uses iterations instead of estimating the value from lod()
Bug Fixes
- Better handling of unbalanced designs in
calibration()
Defunct Functions
make.raw()
, use rep()
instead ;-)
envalysis 0.3.0
New Features
Minor Improvements
signifig()
supports ‘siunitx’ LaTeX output
- Better data handling in
calibration()
- Updated man pages
Bug Fixes
theme_publish()
updated to work with current ggplot2 versions
signifig()
can handle zeros better
Defunct Functions
puri.test()
, use lmer on ranks (lme4) with Type II-ANOVA (car) instead
envalysis 0.2.2
Bug Fixes
- Temporary fix to make
mselect()
work
- TODO: Get rid of assignment to .GlobalEnv
envalysis 0.2.1
Minor Improvements
- Switch to drc package for texture curve fitting
envalysis 0.2.0
New Features
texture
class for automatic determination of particle size distribution using a hydrometer in accordance with ASTM D422-63(2007)e2
Minor Improvements
- updated
theme_publish()
- demo file added
envalysis 0.1.0
Initial Feature Set
- Confidence intervals CI()
- Root mean square errors
rmse()
- Limit of detection (LOD)
lod()
- Limit of quantification (LOQ)
loq()
- Various sorption isotherms
sorption()
- Convert frequency data back to raw data
make.raw()
- ANOVA on ranks according to Sen and Puri (also known as Scheirer-Ray-Hare-Test)
puri.test()
- Categorize water drop penetration times according to Bisdom et al. (1993)
bisdom()
- Report significant figures, i.e. round means and erros to the least significant digit, using
signifig()
- Clean, black-and-white ggplot2 theme for scientific publications
theme_publish()