ComputeColumnStatistics: Compute statistics for all columns (i.e. samples or cells)
In grandR: Comprehensive Analysis of Nucleotide Conversion Sequencing Data
ComputeColumnStatistics R Documentation
Compute statistics for all columns (i.e. samples or cells)
Description
Compute statistics for all columns (i.e. samples or cells)
Usage
ComputeColumnStatistics(data, verbose = TRUE)
Arguments
data
a grandR object
verbose
output status messages
Value
a new grandR object containing additional columns in the Coldata table:
p.conv.X: the T-to-C mismatch frequency in the given ("X") subread category
percent.new: new overall percentage of new RNA
total.reads: the total number of reads (or UMIs, if UMIs were sequences)
total.genes: the total number of genes detected
percentage per type: the percentage (up to 100!) of the counts of each type in the GeneInfo
grandR documentation built on April 4, 2025, 2:27 a.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.
| ComputeColumnStatistics | R Documentation |
Compute statistics for all columns (i.e. samples or cells)
Description
Compute statistics for all columns (i.e. samples or cells)
Usage
ComputeColumnStatistics(data, verbose = TRUE)
Arguments
data |
a grandR object |
verbose |
output status messages |
Value
a new grandR object containing additional columns in the Coldata table:
p.conv.X: the T-to-C mismatch frequency in the given ("X") subread category
percent.new: new overall percentage of new RNA
total.reads: the total number of reads (or UMIs, if UMIs were sequences)
total.genes: the total number of genes detected
percentage per type: the percentage (up to 100!) of the counts of each type in the GeneInfo
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.