# statVec: Transform an input vector into one with defined mean and... In propagate: Propagation of Uncertainty

## Description

Transforms an input vector into one with defined μ and σ by using a scaled-and-shifted Z-transformation.

## Usage

 1 statVec(x, mean, sd) 

## Arguments

 x the input vector to be transformed. mean the desired mean of the created vector. sd the desired standard deviation of the created vector.

## Details

Calculates vector V using a Z-transformation of the input vector X and subsequent scaling by sd and shifting by mean:

V = \frac{X - μ_X}{σ_X} \cdot \rm{sd} + \rm{mean}

## Value

A vector with defined μ and σ.

## Author(s)

Andrej-Nikolai Spiess

## Examples

 1 2 3 4 5 6 7 8 ## Create a 10-sized vector with mean = 10 and s.d. = 1. x <- rnorm(10, 5, 2) mean(x) ## => mean is not 5! sd(x) ## => s.d. is not 2! z <- statVec(x, 5, 2) mean(z) ## => mean is 5! sd(z) ## => s.d. is 2! 

propagate documentation built on May 7, 2018, 1:03 a.m.