Vectors Representing Random Variables
Convert to List Column
Convert a Data Frame Between 'Draws-and-Values' Format and 'Rvec' Form...
Beta Distribution, Using Multiple Draws
Binomial Distribution, Using Multiple Draws
Cauchy Distribution, Using Multiple Draws
Chi-Squared Distribution, Using Multiple Draws
Exponential Distribution, Using Multiple Draws
F Distribution, Using Multiple Draws
Gamma Distribution, Using Multiple Draws
Geometric Distribution, Using Multiple Draws
Hypergeometric Distribution, Using Multiple Draws
Log-Normal Distribution, Using Multiple Draws
Multinomial Distribution, Using Multiple Draws
Negative Binomial Distribution, Using Multiple Draws
Normal Distribution, Using Multiple Draws
Poisson Distribution, Using Multiple Draws
Logical Operations Across Random Draws
Credible Intervals from Random Draws
Apply Summary Function Across Random Draws
Medians, Means, and Modes Across Random Draws
Minima and Maxima Across Random Draws
Quantiles Across Random Draws
Standard Deviations, Variances, and Coefficients of Variation Across R...
Student t Distribution, Using Multiple Draws
Uniform Distribution, Using Multiple Draws
Weibull Distribution, Using Multiple Draws
Extract a Single Draw From an Rvec
Vectorised If-Else, When Condition is an Rvec
Is an Object an Rvec
Apply a Function and Put Results in an Rvec
Matrix Multiplication with Rvecs
Missing, Finite, and Infinite Values in Rvecs
Query Number of Draws
Create an Empty Rvec
Create a Blank Rvec
Pool Draws
Calculate Probabilities from Random Draws
Sample Ranks, Including Rvecs
Internal Methods for Matrix Multiplication with rvec
Package 'rvec'
Create an Rvec from Data
Standard Deviation, Including Rvecs
Correlation, Variance and Covariance (Matrices), Including Rvecs
Calculate Weighted Summaries
Random vectors, called rvecs. An rvec holds multiple draws, but tries to behave like a standard R vector, including working well in data frames. Rvecs are useful for analysing output from a simulation or a Bayesian analysis.
Useful links