wrapper.mvImage: Heatmap of missing values from a 'MSnSet' object
In prostarproteomics/DAPAR: Tools for the Differential Analysis of Proteins Abundance with R
View source: R/metacell_Plots.R
wrapper.mvImage R Documentation
Heatmap of missing values from a MSnSet object
Description
#' Plots a heatmap of the quantitative data. Each column represent one of
the conditions in the object of class MSnSet and
the color is proportional to the mean of intensity for each line of
the dataset.
The lines have been sorted in order to vizualize easily the different
number of missing values. A white square is plotted for missing values.
Usage
wrapper.mvImage(obj, pattern = "Missing MEC")
Arguments
obj
An object of class MSnSet.
pattern
xxx
Value
A heatmap
Author(s)
Alexia Dorffer
Examples
data(Exp1_R25_prot, package="DAPARdata")
obj <- Exp1_R25_prot[seq_len(1000)]
level <- 'protein'
metacell.mask <- match.metacell(GetMetacell(obj), c("Missing POV", "Missing MEC"), level)
indices <- GetIndices_WholeMatrix(metacell.mask, op = ">=", th = 1)
obj <- MetaCellFiltering(obj, indices, cmd = "delete")
wrapper.mvImage(obj$new)
prostarproteomics/DAPAR documentation built on Oct. 11, 2024, 12:03 p.m.
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View source: R/metacell_Plots.R
| wrapper.mvImage | R Documentation |
Heatmap of missing values from a MSnSet object
Description
#' Plots a heatmap of the quantitative data. Each column represent one of
the conditions in the object of class MSnSet and
the color is proportional to the mean of intensity for each line of
the dataset.
The lines have been sorted in order to vizualize easily the different
number of missing values. A white square is plotted for missing values.
Usage
wrapper.mvImage(obj, pattern = "Missing MEC")
Arguments
obj |
An object of class |
pattern |
xxx |
Value
A heatmap
Author(s)
Alexia Dorffer
Examples
data(Exp1_R25_prot, package="DAPARdata")
obj <- Exp1_R25_prot[seq_len(1000)]
level <- 'protein'
metacell.mask <- match.metacell(GetMetacell(obj), c("Missing POV", "Missing MEC"), level)
indices <- GetIndices_WholeMatrix(metacell.mask, op = ">=", th = 1)
obj <- MetaCellFiltering(obj, indices, cmd = "delete")
wrapper.mvImage(obj$new)
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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