which_missing: add missing values to x vector based on the values of x
In wolski/prolfqua: Proteomics Label Free Quantification
View source: R/simulate_LFQ_data.R
which_missing R Documentation
add missing values to x vector based on the values of x
Description
add missing values to x vector based on the values of x
Usage
which_missing(x, weight_missing = 0.2)
Arguments
x
vector of intensities
weight_missing
greater weight more missing
Examples
which_missing(2**rnorm(10,2,0.4))
wolski/prolfqua documentation built on Dec. 4, 2024, 11:18 p.m.
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View source: R/simulate_LFQ_data.R
| which_missing | R Documentation |
add missing values to x vector based on the values of x
Description
add missing values to x vector based on the values of x
Usage
which_missing(x, weight_missing = 0.2)
Arguments
x |
vector of intensities |
weight_missing |
greater weight more missing |
Examples
which_missing(2**rnorm(10,2,0.4))
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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