summarize_NAs: Find number of missing values and missingness rate
In cbhelmholtz/metaboliteqc: metaboliteqc --- Quality controling metabolite data
Description
Usage
Arguments
Value
Description
Find number of missing values and missingness rate
Usage
1
summarize_NAs(mat, by)
Arguments
mat
Matrix
by
An integer. Dimension for which to compute missingness
statistics (1 = rows, 2 = columns). Same as MARGIN
argument to apply.
Value
A data frame with columns "id", "missings", and
"missingness_rate" containing row (column) names, number of
missings per row (column), and missingness rate per row
(column) if by is 1 (2).
cbhelmholtz/metaboliteqc documentation built on May 13, 2019, 2:03 p.m.
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Description Usage Arguments Value
Description
Find number of missing values and missingness rate
Usage
1 | summarize_NAs(mat, by)
|
Arguments
mat |
Matrix |
by |
An integer. Dimension for which to compute missingness
statistics (1 = rows, 2 = columns). Same as |
Value
A data frame with columns "id", "missings", and
"missingness_rate" containing row (column) names, number of
missings per row (column), and missingness rate per row
(column) if by is 1 (2).
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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