transformations: Transformations

In robertness/signalgraph: Signal Processing with Graphs

Description

A artificial dataset for experimental purposes. Contains two uniform random variables and various transformations on those variables. Some of the transformations have error added.

Usage

data(transformations)

Format

A data frame with 12 variables and 5 rows

Details

• A, simulated with runif(5)

• B, simulated with runif(5)

• A_squared = A^2

• A_root = A ^ .5,

• A_log = log(A),

• A_inverse = A ^ -1,

• AB_linear = .2 * A + .5 * B,

• AB_lin_err = AB_linear + Z,

• AB_rescaled = (AB_linear) /(1 + (AB_linear)),

• AB_scale1_nl_error = (AB_lin_err) /(1 + (AB_lin_err)),

• AB_logistic = exp(AB_linear) /(1 + exp(AB_linear)),

• AB_logistic_err = exp(AB_lin_err) /(1 + exp(AB_lin_err))

robertness/signalgraph documentation built on May 27, 2019, 10:33 a.m.