ampel-leipzig / zlog

z(log) transformation for laboratory values

zlog

Transformation of Laboratory Measurements into z(log)-values

Description

zlog provides functions to transform laboratory measurements into z(log)-values based on given or empirical reference limits as proposed in Hoffmann et al. 2017.

Basic usage: https://ampel-leipzig.github.io/zlog/articles/zlog.html

Install

You can install the latest release directly from CRAN.

install.packages("zlog")

Install development version (not recommended)

GitHub is not directly supported by the basic install.packages command. You could use the remotes package to install the development version of zlog.

install.packages("remotes")
remotes::install_github("ampel-leipzig/zlog")

Contact

You are welcome to:

• submit suggestions and bug-reports at: https://github.com/ampel-leipzig/zlog/issues
• send a pull request on: https://github.com/ampel-leipzig/zlog/pulls
• compose an e-mail to: [email protected]

zlog's Issues

Add function to set lower (upper) limit to 0.15 if missing

as suggested in Haeckel 2015 et al. https://doi.org/10.1515/cclm-2014-0874

Add function to impute NA with sample mean or reference mean

Vectorize z/zlog "limits" argument

Currently z/zlog limits argument just supports a numeric(2). For the calculation over a whole data.frame with patients of different sex and age a vectorized limits argument would be useful (e.g. two-column matrix).

Inverse function to z/zlog to get original values from z/zlog