validateAnnotation: Check if annotation matches intended experimental design
In MeenaChoi/MSstats: Protein Significance Analysis in DDA, SRM and DIA for Label-free or Label-based Proteomics Experiments
validateAnnotation R Documentation
Check if annotation matches intended experimental design
Description
Check if annotation matches intended experimental design
Usage
validateAnnotation(msstats_table, design_type = "group comparison")
Arguments
msstats_table
output of a converter function
design_type
character, "group comparison" or "repeated measures"
Value
TRUE if annotation file is consistent with intended experimental design. Otherwise, an error is thrown
MeenaChoi/MSstats documentation built on Nov. 10, 2024, 2:43 p.m.
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| validateAnnotation | R Documentation |
Check if annotation matches intended experimental design
Description
Check if annotation matches intended experimental design
Usage
validateAnnotation(msstats_table, design_type = "group comparison")
Arguments
msstats_table |
output of a converter function |
design_type |
character, "group comparison" or "repeated measures" |
Value
TRUE if annotation file is consistent with intended experimental design. Otherwise, an error is thrown
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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