sim_boot_data: Generate an artificial dataset of bootstrapped abundance...
In bartongroup/RATS: Relative Abundance of Transcripts
View source: R/data_simulators.R
sim_boot_data R Documentation
Generate an artificial dataset of bootstrapped abundance estimates, for code-testing or examples.
Description
Try to cover a range of normal and outlier scenarios that might trip up the filters.
Usage
sim_boot_data(PARENT_COL = "parent_id", TARGET_COL = "target_id", clean = TRUE)
Arguments
PARENT_COL
Name for the bootdtraps column containing counts.
TARGET_COL
Name for annotation column containing transcript identification.
clean
Logical. Don;t include annotation inconsistencies.
Value
A list with 3 elements. First a data.frame with the corresponding annotation. Then, 2 lists of data.tables. One list per condition, each data.table represents a sample and contains the estimates from the bootstrap iterations.
bartongroup/RATS documentation built on June 8, 2022, 12:40 a.m.
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View source: R/data_simulators.R
| sim_boot_data | R Documentation |
Generate an artificial dataset of bootstrapped abundance estimates, for code-testing or examples.
Description
Try to cover a range of normal and outlier scenarios that might trip up the filters.
Usage
sim_boot_data(PARENT_COL = "parent_id", TARGET_COL = "target_id", clean = TRUE)
Arguments
PARENT_COL |
Name for the bootdtraps column containing counts. |
TARGET_COL |
Name for annotation column containing transcript identification. |
clean |
Logical. Don;t include annotation inconsistencies. |
Value
A list with 3 elements. First a data.frame with the corresponding annotation. Then, 2 lists of data.tables. One list per condition, each data.table represents a sample and contains the estimates from the bootstrap iterations.
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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