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 <firstname.lastname@example.org>|
cleartmp: Delete Temporary HTML Files
descr: Descriptive Univariate Statistics for Numerical Data
dfSummary: Dataframe Summary
examens: examens - Sample Data (French)
exams: exams - Sample Data
freq: Frequency Tables for Factors and Other Discrete Data
parse_arg: Extract Information About Data From x Argument
print.summarytools: Print Method for Objects of Class 'summarytools'.
tabagisme: tabagisme - Sample Data (French)
tobacco: tobacco - Sample Data
what.is: Obtain Extended Properties of Objects.