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Support in preparing a raw ESM dataset for statistical analysis. Preparation includes the handling of errors (mostly due to technological reasons) and the generating of new variables that are necessary and/or helpful in meeting the conditions when statistically analyzing ESM data. The functions in 'esmprep' are meant to hierarchically lead from bottom, i.e. the raw (separated) ESM dataset(s), to top, i.e. a single ESM dataset ready for statistical analysis. This hierarchy evolved out of my personal experience in working with ESM data.
Version: | 0.2.0 |
Depends: | R (≥ 3.2) |
Imports: | lubridate (≥ 1.6.0) |
Published: | 2019-07-05 |
DOI: | 10.32614/CRAN.package.esmprep |
Author: | Marcel Miché |
Maintainer: | Marcel Miché <esmprep at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/mmiche/esmprep |
NeedsCompilation: | yes |
CRAN checks: | esmprep results |
Reference manual: | esmprep.pdf |
Package source: | esmprep_0.2.0.tar.gz |
Windows binaries: | r-devel: esmprep_0.2.0.zip, r-release: esmprep_0.2.0.zip, r-oldrel: esmprep_0.2.0.zip |
macOS binaries: | r-release (arm64): esmprep_0.2.0.tgz, r-oldrel (arm64): esmprep_0.2.0.tgz, r-release (x86_64): esmprep_0.2.0.tgz, r-oldrel (x86_64): esmprep_0.2.0.tgz |
Old sources: | esmprep archive |
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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.