# Basics Menu for Radiant: Business Analytics using R and Shiny

## Documentation for package ‘radiant.basics’ version 1.3.4

- DESCRIPTION file.

## Help Pages

clt | Central Limit Theorem simulation
compare_means | Compare sample means
compare_props | Compare sample proportions across groups
consider | Car brand consideration
cor2df | Store a correlation matrix as a (long) data.frame
correlation | Calculate correlations for two or more variables
cross_tabs | Evaluate associations between categorical variables
demand_uk | Demand in the UK
goodness | Evaluate if sample data for a categorical variable is consistent with a hypothesized distribution
newspaper | Newspaper readership
plot.clt | Plot method for the Central Limit Theorem simulation
plot.compare_means | Plot method for the compare_means function
plot.compare_props | Plot method for the compare_props function
plot.correlation | Plot method for the correlation function
plot.cross_tabs | Plot method for the cross_tabs function
plot.goodness | Plot method for the goodness function
plot.prob_binom | Plot method for the probability calculator (binomial)
plot.prob_chisq | Plot method for the probability calculator (Chi-squared distribution)
plot.prob_disc | Plot method for the probability calculator (discrete)
plot.prob_expo | Plot method for the probability calculator (Exponential distribution)
plot.prob_fdist | Plot method for the probability calculator (F-distribution)
plot.prob_lnorm | Plot method for the probability calculator (log normal)
plot.prob_norm | Plot method for the probability calculator (normal)
plot.prob_pois | Plot method for the probability calculator (poisson)
plot.prob_tdist | Plot method for the probability calculator (t-distribution)
plot.prob_unif | Plot method for the probability calculator (uniform)
plot.single_mean | Plot method for the single_mean function
plot.single_prop | Plot method for the single_prop function
print.rcorr | Print method for the correlation function
prob_binom | Probability calculator for the binomial distribution
prob_chisq | Probability calculator for the chi-squared distribution
prob_disc | Probability calculator for a discrete distribution
prob_expo | Probability calculator for the exponential distribution
prob_fdist | Probability calculator for the F-distribution
prob_lnorm | Probability calculator for the log normal distribution
prob_norm | Probability calculator for the normal distribution
prob_pois | Probability calculator for the poisson distribution
prob_tdist | Probability calculator for the t-distribution
prob_unif | Probability calculator for the uniform distribution
radiant.basics | radiant.basics
radiant.basics_viewer | Launch radiant.basics in the Rstudio viewer
radiant.basics_window | Launch radiant.basics in an Rstudio window
salary | Salaries for Professors
single_mean | Compare a sample mean to a population mean
single_prop | Compare a sample proportion to a population proportion
summary.compare_means | Summary method for the compare_means function
summary.compare_props | Summary method for the compare_props function
summary.correlation | Summary method for the correlation function
summary.cross_tabs | Summary method for the cross_tabs function
summary.goodness | Summary method for the goodness function
summary.prob_binom | Summary method for the probability calculator (binomial)
summary.prob_chisq | Summary method for the probability calculator (Chi-squared distribution)
summary.prob_disc | Summary method for the probability calculator (discrete)
summary.prob_expo | Summary method for the probability calculator (exponential)
summary.prob_fdist | Summary method for the probability calculator (F-distribution)
summary.prob_lnorm | Summary method for the probability calculator (log normal)
summary.prob_norm | Summary method for the probability calculator (normal)
summary.prob_pois | Summary method for the probability calculator (poisson)
summary.prob_tdist | Summary method for the probability calculator (t-distribution)
summary.prob_unif | Summary method for the probability calculator (uniform)
summary.single_mean | Summary method for the single_mean function
summary.single_prop | Summary method for the single_prop function