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sjmisc: Data and Variable Transformation Functions

Authors: Daniel Lüdecke;

sjmisc: Data and Variable Transformation Functions

Abstract

General A test-suite was added to the package. Updated reference in CITATION to the publication in the Journal of Open Source Software. New functions is_cross_classified() to check whether two factors are partially crossed. Changes to functions ref_lvl() now also accepts value labels as value for the lvl-argument. Additionally, ref_lvl() now also works for factor with non-numeric factor levels and simply returns relevel(x, ref = lvl) in such cases. Bug fixes Fixed encoding issues in rec() with direct labelling for certain locales. Fixed issue in count_na(), which did not print labels of tagged NA values since the last revision of frq(). Fixed issue in merge_imputation() for cases where original data frame had less columns than imputed data frames. Fixed issue in find_var() for fuzzy-matching in all elements (i.e. when fuzzy = TRUE and search = "all").

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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1
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Top 10%
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17
1