plotCellDensity: Plot density of cells in continuous covariate
In YosefLab/LineagePulse: Differential expression analysis and model fitting for single-cell RNA-seq data
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Uses kernel density estimate.
Usage
1
plotCellDensity(objLP)
Arguments
objLP
(LineagePulseObject) LineagePulseObject to base plot on.
Value
gplotKDE (ggplot object)
ggplot2 kernel density estimator plot.
Author(s)
David Sebastian Fischer
Examples
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
lsSimulatedData <- simulateContinuousDataSet(
scaNCells = 100,
scaNConst = 10,
scaNLin = 10,
scaNImp = 10,
scaMumax = 100,
scaSDMuAmplitude = 3,
vecNormConstExternal=NULL,
vecDispExternal=rep(20, 30),
vecGeneWiseDropoutRates = rep(0.1, 30))
objLP <- runLineagePulse(
counts = lsSimulatedData$counts,
dfAnnotation = lsSimulatedData$annot,
strMuModel = "impulse")
gplotCellDensity <- plotCellDensity(objLP = objLP)
#print(gplotCellDensity)
YosefLab/LineagePulse documentation built on May 6, 2019, 2:19 p.m.
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.
Description Usage Arguments Value Author(s) Examples
Description
Uses kernel density estimate.
Usage
1 | plotCellDensity(objLP)
|
Arguments
objLP |
(LineagePulseObject) LineagePulseObject to base plot on. |
Value
gplotKDE (ggplot object) ggplot2 kernel density estimator plot.
Author(s)
David Sebastian Fischer
Examples
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | lsSimulatedData <- simulateContinuousDataSet(
scaNCells = 100,
scaNConst = 10,
scaNLin = 10,
scaNImp = 10,
scaMumax = 100,
scaSDMuAmplitude = 3,
vecNormConstExternal=NULL,
vecDispExternal=rep(20, 30),
vecGeneWiseDropoutRates = rep(0.1, 30))
objLP <- runLineagePulse(
counts = lsSimulatedData$counts,
dfAnnotation = lsSimulatedData$annot,
strMuModel = "impulse")
gplotCellDensity <- plotCellDensity(objLP = objLP)
#print(gplotCellDensity)
|
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.