standardize_with_return

Perform standardization of data on a 2-D dataframe
type object. Standardization in this case refers
to (x - mean(x)) / sd(x) where X is a 1-dimensional
vector.

A methodology to perform multivariate measurement error adjustment using external validation data. Allows users to remove the attenuating effect of measurement error by incorporating a distribution of external validation data, and allows for plotting of all resultant adjustments. Sensitivity analyses can also be run through this package to test how different ranges of validity coefficients can impact the effect of the measurement error adjustment. The methods implemented in this package are based on the work by Muoka, A., Agogo, G., Ngesa, O., Mwambi, H. (2020): <doi:10.12688/f1000research.27892.1>.

Alexander Lee

rACMEMEEV

Multi-Variate Measurement Error Adjustment

standardize_with_return function

<dl><dt>data</dt>
<dd>vector The vector to standardize</dd></dl>

Arguments

Standardize the data of 1-D vector — standardize_with_return

<dl>

<dt>data</dt>
<dd>vector The vector to standardize</dd>

</dl>

standardize_with_return: Standardize the data of 1-D vector

Description

Usage

Value

Arguments

Examples