Showing 4 of total 4 results (show query)
danchaltiel
crosstable:Crosstables for Descriptive Analyses
Create descriptive tables for continuous and categorical variables. Apply summary statistics and counting function, with or without a grouping variable, and create beautiful reports using 'rmarkdown' or 'officer'. You can also compute effect sizes and statistical tests if needed.
Maintained by Dan Chaltiel. Last updated 2 months ago.
descriptive-statisticsflextablefrequency-tablehtml-reportmswordofficer
116 stars 10.40 score 340 scripts
merck
metalite:ADaM Metadata Structure
A metadata structure for clinical data analysis and reporting based on Analysis Data Model (ADaM) datasets. The package simplifies clinical analysis and reporting tool development by defining standardized inputs, outputs, and workflow. The package can be used to create analysis and reporting planning grid, mock table, and validated analysis and reporting results based on consistent inputs.
Maintained by Yujie Zhao. Last updated 7 months ago.
15 stars 8.89 score 57 scripts 5 dependents
nutterb
labelVector:Label Attributes for Atomic Vectors
Labels are a common construct in statistical software providing a human readable description of a variable. While variable names are succinct, quick to type, and follow a language's naming conventions, labels may be more illustrative and may use plain text and spaces. R does not provide native support for labels. Some packages, however, have made this feature available. Most notably, the 'Hmisc' package provides labelling methods for a number of different object. Due to design decisions, these methods are not all exported, and so are unavailable for use in package development. The 'labelVector' package supports labels for atomic vectors in a light-weight design that is suitable for use in other packages.
Maintained by Benjamin Nutter. Last updated 3 years ago.
4.21 score 18 scripts 6 dependents
kwb-r
kwbGompitz:Interface to GompitZ Tool for Modelling the Degradation of Sewer Pipelines
Functions enabling the writing of GompitZ input files, running of GompitZ Tools (gompcal.exe, gompred.exe) and reading of GompitZ output files.
Maintained by Hauke Sonnenberg. Last updated 3 years ago.
modellingproject-semasewer-classificationcpp
1.70 score 1 scripts