met.plot_SampleNormSummary | R Documentation |
met.plot_SampleNormSummary
visualizes the density distributions of samples before and after normalization, transformation, and scaling.
met.plot_SampleNormSummary(
mSetObj = NA,
imgName = "SampleNormSummary",
format = "png",
dpi = NULL,
width = NA,
show_prenorm = TRUE,
export = TRUE,
plot = TRUE
)
mSetObj |
Input name of the created mSet object,
Data container after normalization ( |
imgName |
(Character) Enter a name for the image file (if |
format |
(Character, |
dpi |
(Numeric) resolution of the image file (if |
width |
(Numeric) width of the the image file in inches (if |
show_prenorm |
(Logical, |
export |
(Logical, |
plot |
(Logical, |
The input mSet object with added plot: the top is a density plot and the bottom is a box plot.
In a boxplot, the bottom and top of the box are always the 25th and 75th percentile (the lower and upper quartiles, or Q1 and Q3, respectively), and the band near the middle of the box is always the 50th percentile (the median or Q2). The upper whisker is located at the smaller of the maximum x value and Q3 + 1.5 x IQR (Interquantile Range), whereas the lower whisker is located at the larger of the smallest x value and Q1 - 1.5 x IQR.
The plot can be retrieved from within R via print(mSetObj$imgSet$summary_norm_sample.plot)
.
Nicolas T. Wirth mail.nicowirth@gmail.com Technical University of Denmark License: GNU GPL (>= 2)
adapted from PlotSampleNormSummary
(https://github.com/xia-lab/MetaboAnalystR).
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