ruv_rankplot: RUV Rank Plot
In ruv: Detect and Remove Unwanted Variation using Negative Controls

Description Usage Arguments Value Author(s)

A plot showing the number of positive controls to be found within the N top-ranked features, as a function of N. The ranking of the features is by p-value.

1	ruv_rankplot(fit, pctl, X.col = "all", uniform.lines = 0)

`fit`	The results of a call to `ruv_summary`.
`pctl`	Either an integer or character string specifying which column of `fit$C` to be used as positive controls. (Must be a logical vector). Alternatively, may some other index vector specifying the positive controls; importantly, in this case, the index vector must index the features as they are sorted in `fit$C`.
`X.col`	Which column of the X matrix to make the plot for. Can be either an integer or a character string. Or, if "all" (the default), use the F-test p-values.
`uniform.lines`	A vector of values between 0 and 1, or NULL. If specified, light gray lines will be drawn, showing (locally) uniform distributions.