Less Code with More Comprehensive Results
Description
Each function replaces multiple standard R functions. For example,
two function calls, Read() and CountAll(), generate summary statistics for
all variables in the data frame, plus histograms and bar charts. Other
functions provide data aggregation via pivot tables; comprehensive
regression, ANOVA, and t-test; visualizations including integrated
Violin/Box/Scatter plot for a numerical variable, bar chart, histogram,
box plot, density curves, calibrated power curve; reading multiple data
formats with the same call; variable labels; time series with aggregation
and forecasting; color themes; and Trellis (facet) graphics. Also includes
a confirmatory factor analysis of multiple-indicator measurement models,
pedagogical routines for data simulation (e.g., Central Limit Theorem),
generation and rendering of regression instructions for interpretative output,
and both interactive construction of visualizations and interactive
visualizations with plotly.