plotBins {HELP} | R Documentation |
Plot bins
Description
Plot densities of multiple bins of data, divided by a sliding window approach
Usage
plotBins(x, y, ...)
Arguments
x |
the vector of numerical data to be plotted. If x is a matrix it is interpreted as a vector. x can also be of class "ExpressionSet" .
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y |
an additional vector of numerical data to be used for binning. If y is a matrix it is interpreted as a vector. y can also be of class "ExpressionSet" .
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... |
Arguments to be passed to methods (see
plotBins-methods ):
- element
which element of AssayData to use for a given ExpressionSet input (default is "exprs")
- sample
which element of sampleNames to use as data (default is 1). Can be a character matching a sample name or simply an integer indicating which sample to choose. See getSamples .
- feature
which element of featureData to use as binning variable (default is 1). Can be a character matching varLabel or simply an integer indicating which feature to choose. See getFeatures .
- num.bins
number of bins (default is 10) used to divide the data
- num.steps
number of steps (default is 3) used to create bin offsets, resulting in bins of sliding windows
- mode
the binning mode to be used. This must be either "continuous" or "discrete". "continuous" mode will divide the data into density-dependent bins. "discrete" mode will divide the data uniformly by binning data values.
- show.avg
logical; if TRUE, plots overall density in addition to densities per bin. If FALSE (default), overall density plot is omitted.
- main
an overall title for the plot: see title .
- xlab
a title for the x axis: see title .
- ylab
a title for the y axis: see title .
- na.rm
logical; if TRUE (default), missing values are removed from x and y. If FALSE any missing values cause an error.
- \dots
other arguments to be passed to plot . See plot .
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Author(s)
Reid F. Thompson (rthompso@aecom.yu.edu)
See Also
plotBins-methods
, density
, quantile
Examples
#demo(pipeline,package="HELP")
x <- 1:1000
y <- sample(1:50,size=1000,replace=TRUE)
plotBins(x,y,show.avg=TRUE,main="Random binning data",xlab="1:1000")
#rm(x,y)
[Package
HELP version 1.40.0
Index]