Package index • rcistats

All functions
`ar2()`	Obtain the adjusted R-Squared Value from a Linear Model
`b()`	Extract regression coefficients from a linear regression model.
`bottom()`	Obtain the Bottom X Percents
`cat_stats()`	Obtain Frequencies and Proportions for a Categorical Variable
`descriptive()`	Obtain Descriptive Statistics from a data frame.
`f()`	Extract the F Statistic
`geom_pie()`	A function that creates a pie chart.
`install_m201()`	Install R packages used for Math 201
`install_plots()`	Install ggplots and other plotting packages
`install_themes()`	Install Themes
`iterate()`	Repeat a task numerous times
`linear_model_info()`	Extract model information for linear regression.
`logistic_model_info()`	Extract model information for logistic regression
`middle()`	Obtain the middle X Percent
`model_info()`	Extract model information
`num_by_cat_stats()`	Obtain Numerical Statistics for a Continuous Variable by a Categorical Variable
`num_stats()`	Obtain Numerical Statistics for a Continuous Variable
`props()`	props Computing proportions
`r2()`	Obtain the R-Squared Value from a Linear Model
`resample()`	Sample a data frame with replacement
`resid_df()`	Extract Residuals and Influential Measures from `glm` and `lm` object
`se_b()`	Extract the standard errors of the regression coefficients from a linear regression model.
`shuffle()`	Reorder the data of a vector
`sse()`	Compute the sum of error squared for an R object
`top()`	Obtain the top X Percent
`unicorns()`	Creates a Unicorn Data Set from simulated models.

Reference