Hermeneutic Content Analysis
Overview
A collection of tools for performing the second step of Hermeneutic Content Analysis (HCA; see Bergman, 2010, doi:10.4135/9781506335193). The current version provides tools for implementing multidimensional scaling (MDS) within an HCA framework. The tools offer assistance in data preparation, modeling, and interpretation of MDS maps. The data preparation tools help users to create similarity matrices based on co-occurrence or sorting data. The modelling tools allow users to optimize the modelling process by systematically calculating Stress values for a set of p points out of n points. The tools assisting interpretation allow users to highlight the highest similarities either per point or overall in an MDS representation.
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Documentation
- Help pages
- 8
- Examples that run
- 100%6 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 96%
- Return-value docs
- 100%
- Help pages citing references
- 0%
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Dependencies
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Datasets
People & History
- RR 4.2.0 released · 2022-04-22
- archivedRemoved from CRAN2021-11-07email to the maintainer was undeliverable
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 1.0.02019-11-15
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-11-15
- Total releases
- 1 / 7 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 1.4 KB / 2 files
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