ScaleByQuantile: Winsorize a count matrix using fixed quantiles by row
In ATpoint/diffanalyseR: Wrapper functions for common tasks related to analysis of NGS counts data
Description
Usage
Arguments
Author(s)
Examples
View source: R/src_ScaleByQuantile.R
Description
Per row trim the values beyond the specified quantiles to that quantile,
can be useful e.g. when plotting heatmaps to limit influence of outliers
Takes a numeric matrix or data.frame and returns one with the winsorized values.
Usage
1
ScaleByQuantile(Counts, lower = 0, upper = 1)
Arguments
Counts
a matrix or dataframe with the count data
lower
bottom quantile
upper
top quantile
Author(s)
Alexander Toenges
Examples
1
2
3
Counts <- sapply(seq(1,10), function(x) rnorm(1000,100))
ScaleByQuantile(Counts=Counts,lower=0.1,upper=0.9)
ATpoint/diffanalyseR documentation built on Oct. 8, 2021, 10:11 p.m.
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Description Usage Arguments Author(s) Examples
View source: R/src_ScaleByQuantile.R
Description
Per row trim the values beyond the specified quantiles to that quantile, can be useful e.g. when plotting heatmaps to limit influence of outliers Takes a numeric matrix or data.frame and returns one with the winsorized values.
Usage
1 | ScaleByQuantile(Counts, lower = 0, upper = 1)
|
Arguments
Counts |
a matrix or dataframe with the count data |
lower |
bottom quantile |
upper |
top quantile |
Author(s)
Alexander Toenges
Examples
1 2 3 | Counts <- sapply(seq(1,10), function(x) rnorm(1000,100))
ScaleByQuantile(Counts=Counts,lower=0.1,upper=0.9)
|
R Package Documentation
Browse R Packages
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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