feature.missingness: estimate feature missingness
In MRCIEU/metaboprep: Metabolomics data preparation and processing pipeline
View source: R/feature.missingness.R
feature.missingness R Documentation
estimate feature missingness
Description
This function estimates feature missingess, with a step to exclude poor samples identified as those with a sample missingness greater than 50
Usage
feature.missingness(wdata)
Arguments
wdata
the metabolite data matrix. samples in row, metabolites in columns
Value
a data frame of percent missingness for each feature
Examples
ex_data = sapply(1:5, function(x){rnorm(10, 45, 2)})
ex_data[ sample(1:length(ex_data), 15) ] = NA
feature.missingness(wdata = ex_data )
MRCIEU/metaboprep documentation built on Jan. 28, 2023, 7:29 p.m.
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View source: R/feature.missingness.R
| feature.missingness | R Documentation |
estimate feature missingness
Description
This function estimates feature missingess, with a step to exclude poor samples identified as those with a sample missingness greater than 50
Usage
feature.missingness(wdata)
Arguments
wdata |
the metabolite data matrix. samples in row, metabolites in columns |
Value
a data frame of percent missingness for each feature
Examples
ex_data = sapply(1:5, function(x){rnorm(10, 45, 2)})
ex_data[ sample(1:length(ex_data), 15) ] = NA
feature.missingness(wdata = ex_data )
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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