doebioresearch
0.1.0Analysis of Design of Experiments for Biological Research
Overview
Performs analysis of popular experimental designs used in the field of biological research. The designs covered are completely randomized design, randomized complete block design, factorial completely randomized design, factorial randomized complete block design, split plot design, strip plot design and latin square design. The analysis include analysis of variance, coefficient of determination, normality test of residuals, standard error of mean, standard error of difference and multiple comparison test of means. The package has functions for transformation of data and yield data conversion. Some datasets are also added in order to facilitate examples.
Install
Health
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
- Cyclomatic complexity
- 8.0 median / 14 max
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
17 16 exported
Complexity
6.8 avg / 14 max
Call network
17 nodes / 9 edges
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Datasets
| Name | Class | Rows × Cols | Also ships in |
|---|---|---|---|
| factorialdata | data.frame | 24 × 6 | – |
| lsddata | data.frame | 25 × 5 | – |
| splitdata | data.frame | 36 × 5 | – |
People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.0Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2020-07-08
- Total releases
- 1 / 6 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 1.1 KB / 3 files
- Download size
- 15 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet