Summary function for 'propagate' objects

Description

Provides a printed summary of the results obtained by propagate, such as statistics of the first/second-order uncertainty propagation, Monte Carlo simulation, the covariance matrix and symbolic as well as evaluated versions of the Gradient and Hessian matrices. If do.sim = TRUE had been set in propagate, skewness/kurtosis and Shapiro-Wilks/Kolmogorov-Smirnov tests for normality are calculated on the Monte-Carlo evaluations.

Usage

## S3 method for class 'propagate'
summary(object, ...)

Arguments

Value

A printed summary as described above.

Author(s)

Andrej-Nikolai Spiess

Examples

EXPR1 <- expression(x^2 * sin(y))
x <- c(5, 0.01)
y <- c(1, 0.01)
DF1 <- cbind(x, y)
RES1 <- propagate(expr = EXPR1, data = DF1, type = "stat", 
                  do.sim = TRUE, verbose = TRUE)
summary(RES1)

Results