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rename limit_mic_range() to rescale_mic()

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dr. M.S. (Matthijs) Berends
2024-05-24 15:07:41 +02:00
parent d214f74e25
commit c3ce1b551d
8 changed files with 22 additions and 22 deletions
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10
man/as.mic.Rd
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@ -6,7 +6,7 @@
\alias{mic}
\alias{is.mic}
\alias{NA_mic_}
\alias{limit_mic_range}
\alias{rescale_mic}
\alias{droplevels.mic}
\title{Transform Input to Minimum Inhibitory Concentrations (MIC)}
\usage{
@ -16,7 +16,7 @@ is.mic(x)
NA_mic_
limit_mic_range(x, mic_range, keep_operators = "edges", as.mic = TRUE)
rescale_mic(x, mic_range, keep_operators = "edges", as.mic = TRUE)
\method{droplevels}{mic}(x, as.mic = FALSE, ...)
}
@ -82,7 +82,7 @@ Using \code{\link[=as.double]{as.double()}} or \code{\link[=as.numeric]{as.numer
Use \code{\link[=droplevels]{droplevels()}} to drop unused levels. At default, it will return a plain factor. Use \code{droplevels(..., as.mic = TRUE)} to maintain the \code{mic} class.
With \code{\link[=limit_mic_range]{limit_mic_range()}}, existing MIC ranges can be limited to a defined range of MIC values. This can be useful to better compare MIC distributions.
With \code{\link[=rescale_mic]{rescale_mic()}}, existing MIC ranges can be limited to a defined range of MIC values. This can be useful to better compare MIC distributions.
For \code{ggplot2}, use one of the \code{\link[=scale_x_mic]{scale_*_mic()}} functions to plot MIC values. They allows custom MIC ranges and to plot intermediate log2 levels for missing MIC values.
@ -101,8 +101,8 @@ fivenum(mic_data)
quantile(mic_data)
all(mic_data < 512)
# limit MICs using limit_mic_range()
limit_mic_range(mic_data, mic_range = c(4, 16))
# limit MICs using rescale_mic()
rescale_mic(mic_data, mic_range = c(4, 16))
# interpret MIC values
as.sir(