plotBatchNormQC: plotBatchNormQC
In IMB-Computational-Genomics-Lab/ascend: ascend - Analysis of Single Cell Expression, Normalisation, and Differential expression
Description
Usage
Arguments
Value
Examples
Description
Creates a boxplot that depicts the library sizes of each batch in a dataset.
This function is for the comparison of pre- and post- batch-normalised
datasets that have been loaded into an EMSet. Cells found in these datasets
must have the same identifiers.
Usage
1
plotBatchNormQC(raw_object = NULL, norm_object = NULL)
Arguments
raw_object
Dataset prior to batch normalisation
norm_object
Dataset after batch normalisation
Value
A boxplot created with ggplot2
Examples
1
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# Load example EMSet
raw_object <- ascend::raw_set
# Run batch normalisation
norm_object <- normaliseBatches(raw_object)
# Generate plot
plot <- plotBatchNormQC(raw_object = raw_object, norm_object = norm_object)
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
Creates a boxplot that depicts the library sizes of each batch in a dataset. This function is for the comparison of pre- and post- batch-normalised datasets that have been loaded into an EMSet. Cells found in these datasets must have the same identifiers.
Usage
1 | plotBatchNormQC(raw_object = NULL, norm_object = NULL)
|
Arguments
raw_object |
Dataset prior to batch normalisation |
norm_object |
Dataset after batch normalisation |
Value
A boxplot created with ggplot2
Examples
1 2 3 4 5 6 7 8 | # Load example EMSet
raw_object <- ascend::raw_set
# Run batch normalisation
norm_object <- normaliseBatches(raw_object)
# Generate plot
plot <- plotBatchNormQC(raw_object = raw_object, norm_object = norm_object)
|
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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