inputcheck1: Input Check One

In ruv: Detect and Remove Unwanted Variation using Negative Controls

Description

Performs a basic sanity check on the arguments passed to RUV-2, RUV-4, RUV-inv, and RUV-rinv.

Usage

inputcheck1(Y, X, Z, ctl, check.na=TRUE)

Arguments

Y	The data. A m by n matrix, where m is the number of samples and n is the number of features.
X	The factor(s) of interest. A m by p matrix, where m is the number of samples and p is the number of factors of interest. Very often p = 1.
Z	Any additional covariates to include in the model. Either a m by q matrix of covariates, or simply 1 (the default) for an intercept term.
ctl	The negative controls. A logical vector of length n.
check.na	Whether to check for missing values.

Value

Returns NULL. The function is only called to check for problems in the arguments and to issue warnings if any problems are found.

See Also

RUV2, RUV4, RUVinv, RUVrinv

ruv documentation built on Aug. 31, 2019, 1:04 a.m.