calcMV {scDD} | R Documentation

## calcMV

### Description

Calculate empirical means and variances of selected genes in a given dataset.

### Usage

    calcMV(a, FC = 1, FC.thresh = NA, threshold = Inf,
      include.zeroes = FALSE)

### Arguments

`a` | Numeric vector of values to calculate empirical mean and variance.
`FC` | Fold change for the mean and standard deviation. Default value is 1.
`FC.thresh` | Alternate fold change for the mean and standard deviation when the (log nonzero) mean is above the value of `threshold`. Default value is `FC`.
`threshold` | Mean threshold value which dictates which fold change value to use for multiplying mean and standard deviation. Default value is Inf (so `FC` is always used).
`include.zeroes` | Logical value indicating whether the zero values should be included in the calculations of the empirical means and variances.

### Details

Calculate empirical means and variances of selected genes in a given dataset. Optionally, multiply the means and standard deviations by a fold change value, which can also vary by mean value. If the mean is below some specified threshold `threshold`, use one fold change value `FC`. If above the threshold, use the alternate fold change value `FC.thresh`. Estimates of mean and variance are robust to outliers.

### Value

MV Vector of two elements, first contains the empirical mean estimate, second contains the empirical variance estimate (optionally multiplied by a fold change).

[Package scDD version 1.16.0 Index]