plotTSNE: plotTSNE
In IMB-Computational-Genomics-Lab/ascend: ascend - Analysis of Single Cell Expression, Normalisation, and Differential expression
Description
Usage
Arguments
Value
Examples
Description
Generates a 2D TSNE plot using a TSNE matrix generated by the
runTSNE function.
Usage
1
Arguments
object
An EMSet object that has undergone PCA.
Dim1
Dimension to plot on the x-axis.
Dim2
Dimension to plot on the y-axis.
group
(Optional) Name of the column in colInfo that
describe a set of conditions you would like to colour cells by.
density
Vary alpha by density (Default: FALSE)
Value
A ggplot glob that contains a scatter plot.
Examples
1
2
3
4
5
# Load analyzed EMSet
em_set <- ascend::analyzed_set
# Use function to generate plots
tsne_plot <- plotTSNE(em_set, Dim1 = 1, Dim2 = 2, group = "cluster")
IMB-Computational-Genomics-Lab/ascend documentation built on Aug. 29, 2019, 4:10 a.m.
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Description Usage Arguments Value Examples
Description
Generates a 2D TSNE plot using a TSNE matrix generated by the
runTSNE function.
Usage
1 |
Arguments
object |
An |
Dim1 |
Dimension to plot on the x-axis. |
Dim2 |
Dimension to plot on the y-axis. |
group |
(Optional) Name of the column in colInfo that describe a set of conditions you would like to colour cells by. |
density |
Vary alpha by density (Default: FALSE) |
Value
A ggplot glob that contains a scatter plot.
Examples
1 2 3 4 5 | # Load analyzed EMSet
em_set <- ascend::analyzed_set
# Use function to generate plots
tsne_plot <- plotTSNE(em_set, Dim1 = 1, Dim2 = 2, group = "cluster")
|
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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