NEWS
envalysis 0.7.0 (2024-03-20)
New Features
predict() method for class 'calibration'
envalysis 0.6.0 (2023-09-20)
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 (2023-08-07)
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 (2022-10-07)
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 (2022-09-21)
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 (2021-03-05)
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 (2021-02-04)
Minor Improvements
- Move to testthat 3rd edition
Bug Fixes
- Fix regression when using weights in
calibration()
envalysis 0.4.1 (2021-01-21)
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 (2018-04-27)
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 versionssignifig() 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()