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_assumptionsargument incalibration()is now less verbose; test results may be
retrieved by callingprint()
- Replaced sizeargument in
ggplot2::element_rect()and
ggplot2::element_line()withlinewidth
- 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
sizeargument in ggplot2::element_rect()withlinewidthlater
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(), andloq()
- 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()fortexture()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
- textureclass 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()