Built around three key functions: 1) freq() generates frequency tables reporting counts and proportions (including cumulative) for factors and other discrete data; 2) descr() gives all common central tendency statistics and measures of dispersion for numerical data; 3) dfSummary() gives as much information as possible on a dataframe's columns in a legible table. freq() and descr() support weights, and all three functions support 'Hmisc' or 'pander' labels. A variety of output formats are available (plain text, 'rmarkdown' and HTML). An additional misc function, what.is(), displays all common properties of an object (its class, type, mode, attributes, etc.) and extends the base is() function, checking the object against most is.() functions.
|Date of publication||2016-12-05 08:27:47|
|Maintainer||Dominic Comtois <[email protected]>|
|Package repository||View on CRAN|
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