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Draft for JOSS publication #190
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`data_join()` | to join two data frames | | ||
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Table: The table below lists a few key functions offered by *datawizard* for data wrangling. To see the full list, see the package website: <https://easystats.github.io/datawizard/> |
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I am deliberately not being comprehensive because we might add more functions in the future and ...
cover all of those.
`ranktransform()` | to convert numeric values to integer ranks | | ||
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Table: The table below lists a few key functions offered by *datawizard* for data transformations. To see the full list, see the package website: <https://easystats.github.io/datawizard/> |
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I am deliberately not being comprehensive because we might add more functions in the future and ...
cover all of those.
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## Data properties | ||
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The workhorse function to get a comprehensive summary of data properties is `describe_distribution()`, which combines a set of indices (e.g., measures of centrality, dispersion, range, skewness, kurtosis, etc.) computed by other functions in `{datawizard}`. |
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Not sure if a table is necessary here. We don't have many functions.
I would characterize the offerings of datawizard a little differently:
Basically, we offer
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@DominiqueMakowski Lemme if this is okay with you.
Waiting for your reviews/approvals now: @bwiernik, @DominiqueMakowski, and @strengejacke |
Closes #59
Checklist:
{datawizard}
#87, we can leave out the two tables.describe_distribution()
output doesn't overflow in PDF outputdata_*()
prefix from statistical transformation function names #197Make a new CRAN release(irrelevant to the creation of draft itself)