Calculate strictly standardized mean difference (SSMD)

Calculate strictly standardized mean difference (SSMD)

Usage

calculateSSMD(res, nConc = 2)

Arguments

res

Object of class MALDIassay

nConc

Numeric, number of top and bottom concentrations to be used to calculate the pseudo positive and negative control.

Value

Numeric vector of strictly standardized mean differences (SSMD)

Details

The strictly standardized mean difference (SSMD) is a measure of effect size. It is the mean divided by the standard deviation of a difference between the positive and negative control.

$$\gamma=\frac{\mid\mu_n - \mu_p\mid}{\sqrt{\sigma_n^2 + \sigma_p^2}}$$

The SSMD can be easily be interpreted as it denotes the difference between positve and negative controls in units of standard deviation.

Examples

# see example for `fitCurve()` to see how this data was generated
data(Blank2022res)

calculateSSMD(Blank2022res, nConc = 2)       
#>  [1] 0.9929269 1.8295971 0.4589847 0.5734228 1.2892462 1.7888130 3.1918283
#>  [8] 1.8648946 1.6817642 1.6596281 1.6481736 1.2971227 4.0481543 2.3039603
#> [15] 2.4210874 3.8748702 3.8690381 3.9669764 5.0425580 4.6732764 4.3425562
#> [22] 4.3308703 3.6642894