dot-getNonMissingFilterStats: Get a logical vector for non-missing values to calculate...
In MeenaChoi/MSstats: Protein Significance Analysis in DDA, SRM and DIA for Label-free or Label-based Proteomics Experiments
.getNonMissingFilterStats R Documentation
Get a logical vector for non-missing values to calculate summary statistics
Description
Get a logical vector for non-missing values to calculate summary statistics
Usage
.getNonMissingFilterStats(input, censored_symbol)
Arguments
input
data.table with data for a single protein
censored_symbol
Missing values are censored or at random.
'NA' (default) assumes that all 'NA's in 'Intensity' column are censored.
'0' uses zero intensities as censored intensity.
In this case, NA intensities are missing at random.
The output from Skyline should use '0'.
Null assumes that all NA intensites are randomly missing.
Value
data.table
MeenaChoi/MSstats documentation built on Nov. 30, 2024, 7:26 a.m.
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| .getNonMissingFilterStats | R Documentation |
Get a logical vector for non-missing values to calculate summary statistics
Description
Get a logical vector for non-missing values to calculate summary statistics
Usage
.getNonMissingFilterStats(input, censored_symbol)
Arguments
input |
data.table with data for a single protein |
censored_symbol |
Missing values are censored or at random. 'NA' (default) assumes that all 'NA's in 'Intensity' column are censored. '0' uses zero intensities as censored intensity. In this case, NA intensities are missing at random. The output from Skyline should use '0'. Null assumes that all NA intensites are randomly missing. |
Value
data.table
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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