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 |