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 |