checkRepeatedDesign: Check if data represents repeated measurements design
In MeenaChoi/MSstats: Protein Significance Analysis in DDA, SRM and DIA for Label-free or Label-based Proteomics Experiments
View source: R/utils_groupcomparison.R
checkRepeatedDesign R Documentation
Check if data represents repeated measurements design
Description
Check if data represents repeated measurements design
Usage
checkRepeatedDesign(summarization_output)
Arguments
summarization_output
output of the dataProcess function
Details
This extracts information required by the group comparison workflow
Value
logical, TRUE if data represent repeated measurements design
Examples
QuantData1 <- dataProcess(SRMRawData, use_log_file = FALSE)
checkRepeatedDesign(QuantData1)
MeenaChoi/MSstats documentation built on Nov. 10, 2024, 2:43 p.m.
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View source: R/utils_groupcomparison.R
| checkRepeatedDesign | R Documentation |
Check if data represents repeated measurements design
Description
Check if data represents repeated measurements design
Usage
checkRepeatedDesign(summarization_output)
Arguments
summarization_output |
output of the dataProcess function |
Details
This extracts information required by the group comparison workflow
Value
logical, TRUE if data represent repeated measurements design
Examples
QuantData1 <- dataProcess(SRMRawData, use_log_file = FALSE)
checkRepeatedDesign(QuantData1)
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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