The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
In semi-structured interviews that use the 'framework' method, it is not always clear how refinements to interview questions affect the decision of when to stop interviews. The trend of 'novel' and 'duplicate' interview codes (novel codes are information that other interviewees have not previously mentioned) provides insight into the richness of qualitative information. This package provides tools to visualise when refinements occur and how that affects the trends of novel and duplicate codes. These visualisations, when used progressively as new interviews are finished, can help the researcher to decide on a stopping point for their interviews.
Version: | 0.13.1 |
Depends: | R (≥ 3.4.0) |
Imports: | readxl, naturalsort, ggplot2, ggpattern, utils |
Suggests: | knitr, rmarkdown |
Published: | 2024-02-08 |
DOI: | 10.32614/CRAN.package.novelqualcodes |
Author: | Kam Wong [aut, cph], Desi Quintans [cre, aut, cph] |
Maintainer: | Desi Quintans <science at desiquintans.com> |
BugReports: | https://github.com/DesiQuintans/novelqualcodes/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/DesiQuintans/novelqualcodes |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | novelqualcodes results |
Reference manual: | novelqualcodes.pdf |
Vignettes: |
A guided tour of the 'novelqualcodes' package |
Package source: | novelqualcodes_0.13.1.tar.gz |
Windows binaries: | r-devel: novelqualcodes_0.13.1.zip, r-release: novelqualcodes_0.13.1.zip, r-oldrel: novelqualcodes_0.13.1.zip |
macOS binaries: | r-release (arm64): novelqualcodes_0.13.1.tgz, r-oldrel (arm64): novelqualcodes_0.13.1.tgz, r-release (x86_64): novelqualcodes_0.13.1.tgz, r-oldrel (x86_64): novelqualcodes_0.13.1.tgz |
Old sources: | novelqualcodes archive |
Please use the canonical form https://CRAN.R-project.org/package=novelqualcodes to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.