calcAverage: Calculate average counts, adjusting for size factors or...
In dynverse/scaterlegacy: Single-cell analysis toolkit for gene expression data in R
Description
Usage
Arguments
Value
Examples
View source: R/calculate-expression.R
Description
Calculate average counts per feature, adjusting them as appropriate to take
into account for size factors for normalization or library sizes (total
counts).
Usage
1
calcAverage(object)
Arguments
object
an SCESet object
Value
Vector of average count values with same length as number of features.
Examples
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data("sc_example_counts")
data("sc_example_cell_info")
pd <- new("AnnotatedDataFrame", data = sc_example_cell_info)
example_sceset <- newSCESet(countData = sc_example_counts, phenoData = pd)
## calculate average counts
ave_counts <- calcAverage(example_sceset)
dynverse/scaterlegacy documentation built on Feb. 17, 2020, 5:07 a.m.
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Description Usage Arguments Value Examples
View source: R/calculate-expression.R
Description
Calculate average counts per feature, adjusting them as appropriate to take into account for size factors for normalization or library sizes (total counts).
Usage
1 | calcAverage(object)
|
Arguments
object |
an |
Value
Vector of average count values with same length as number of features.
Examples
1 2 3 4 5 6 7 | data("sc_example_counts")
data("sc_example_cell_info")
pd <- new("AnnotatedDataFrame", data = sc_example_cell_info)
example_sceset <- newSCESet(countData = sc_example_counts, phenoData = pd)
## calculate average counts
ave_counts <- calcAverage(example_sceset)
|
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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