Statistical distribution generator and analyzer using TidyDensity package. Generate random data from various statistical distributions with comprehensive visualization and analysis capabilities. Create density plots, quantile plots, probability plots, and Q-Q plots. Perfect for simulation studies, power analysis, distribution comparison, and statistical education in clinical research.
Usage
tidydensity(
data,
distribution_type = "normal",
n_observations = 100,
n_simulations = 1,
normal_mean = 0,
normal_sd = 1,
beta_shape1 = 2,
beta_shape2 = 5,
gamma_shape = 2,
gamma_scale = 1,
exponential_rate = 1,
uniform_min = 0,
uniform_max = 1,
chisq_df = 3,
t_df = 5,
f_df1 = 5,
f_df2 = 10,
binomial_size = 10,
binomial_prob = 0.5,
poisson_lambda = 3,
weibull_shape = 2,
weibull_scale = 1,
lognormal_meanlog = 0,
lognormal_sdlog = 1,
logistic_location = 0,
logistic_scale = 1,
cauchy_location = 0,
cauchy_scale = 1,
plot_type = "density",
plot_enhancements = FALSE,
show_statistics = TRUE,
show_summary_table = TRUE,
show_parameter_info = TRUE,
show_interpretation = TRUE,
economist_theme = TRUE,
economist_colors = TRUE
)Arguments
- data
The data as a data frame.
- distribution_type
Type of statistical distribution to generate. Each distribution has specific parameters that can be configured.
- n_observations
Number of random observations to generate from the selected distribution.
- n_simulations
Number of simulation runs. Multiple simulations allow comparison of sampling variability.
- normal_mean
Mean parameter for Normal distribution.
- normal_sd
Standard deviation parameter for Normal distribution.
- beta_shape1
First shape parameter for Beta distribution.
- beta_shape2
Second shape parameter for Beta distribution.
- gamma_shape
Shape parameter for Gamma distribution.
- gamma_scale
Scale parameter for Gamma distribution.
- exponential_rate
Rate parameter for Exponential distribution.
- uniform_min
Minimum value for Uniform distribution.
- uniform_max
Maximum value for Uniform distribution.
- chisq_df
Degrees of freedom for Chi-Square distribution.
- t_df
Degrees of freedom for Student's t distribution.
- f_df1
Numerator degrees of freedom for F distribution.
- f_df2
Denominator degrees of freedom for F distribution.
- binomial_size
Number of trials for Binomial distribution.
- binomial_prob
Probability of success for Binomial distribution.
- poisson_lambda
Rate parameter for Poisson distribution.
- weibull_shape
Shape parameter for Weibull distribution.
- weibull_scale
Scale parameter for Weibull distribution.
- lognormal_meanlog
Mean of the logarithm for Log-Normal distribution.
- lognormal_sdlog
Standard deviation of the logarithm for Log-Normal distribution.
- logistic_location
Location parameter for Logistic distribution.
- logistic_scale
Scale parameter for Logistic distribution.
- cauchy_location
Location parameter for Cauchy distribution.
- cauchy_scale
Scale parameter for Cauchy distribution.
- plot_type
Type of visualization to generate for the distribution data.
- plot_enhancements
Add enhanced plot features like points, rug plots, and smooth lines.
- show_statistics
Display comprehensive statistics for the generated distribution.
- show_summary_table
Display summary table of generated data with key statistics.
- show_parameter_info
Display information about distribution parameters and their effects.
- show_interpretation
Display guidance on statistical distributions and their applications in clinical research.
- economist_theme
Apply The Economist's visual theme when using Economist-style plots.
- economist_colors
Apply The Economist's signature color scheme for distribution elements.