Introduction | Z or Z(log) Transformation | Inverse Z or Z(log) Transformation/Undo Transformation | Z(log) Dependent Colour Gradient | Estimate Reference Limits | Working with Reference Tables | Missing Reference Limits | Impute Missing Laboratory Measurements | PBC Example | Session information | References
Package: zlog 1.0.2
Sebastian Gibb
zlog: Z(log) Transformation for Laboratory Measurements
Transformation of laboratory measurements into z or z(log)-value based on given or empirical reference limits as proposed in Hoffmann et al. 2017 <doi:10.1515/labmed-2016-0087>.
Authors:
zlog_1.0.2.tar.gz
zlog_1.0.2.zip(r-4.7)zlog_1.0.2.zip(r-4.6)zlog_1.0.2.zip(r-4.5)
zlog_1.0.2.tgz(r-4.6-any)zlog_1.0.2.tgz(r-4.5-any)
zlog_1.0.2.tar.gz(r-4.7-any)zlog_1.0.2.tar.gz(r-4.6-any)
zlog_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
zlog/json (API)
| # Install 'zlog' in R: |
| install.packages('zlog', repos = c('https://ampel-leipzig.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ampel-leipzig/zlog/issues
laboratory-measurementstransformationzlog
Last updated from:f464c2ff3e. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 134 | ||
| source / vignettes | OK | 149 | ||
| linux-release-x86_64 | OK | 104 | ||
| macos-release-arm64 | OK | 130 | ||
| macos-oldrel-arm64 | OK | 126 | ||
| windows-devel | OK | 68 | ||
| windows-release | OK | 69 | ||
| windows-oldrel | OK | 67 | ||
| wasm-release | OK | 96 |
Exports:impute_dfizizloglookup_limitsreference_limitsset_missing_limitszz_dfzcolzlogzlog_df
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Imputation | impute_df |
| Calculate Laboratory Measurements from z/zlog Values | iz izlog |
| Lookup Limits in Reference Tables | lookup_limits |
| Calculate Reference Limits | reference_limits |
| Set Missing Limits in Reference Tables | set_missing_limits |
| Calculate z/zlog Values | z zlog |
| Calculate z/zlog Values for a data.frame | zlog_df z_df |
| Z(log) Depending Color | zcol |
