variance_estimation: Example of output from estimateVar function
In MSstatsSampleSize: Simulation tool for optimal design of high-dimensional MS-based proteomics experiment
Description
Usage
Format
Details
Examples
Description
It is the output of estimateVar function with two inputs:
OV_SRM_train and OV_SRM_train_annotation.
The list should include the required elements as below.
Usage
1
Format
A list with five elements
Details
model : the list of linear models trained for each protein.
mu : the mean abundance matrix of each protein in each condition
sigma : the standard deviation matrix of each protein
in each condition
promean: the mean abundance vector of each protein
across all the samples.
protein : proteins, correpsonding to the rows
in mu and sigma or the element of promean
Examples
1
2
3
head(variance_estimation$mu)
head(variance_estimation$sigma)
head(variance_estimation$promean)
MSstatsSampleSize documentation built on Nov. 8, 2020, 4:53 p.m.
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Description Usage Format Details Examples
Description
It is the output of estimateVar function with two inputs:
OV_SRM_train and OV_SRM_train_annotation.
The list should include the required elements as below.
Usage
1 |
Format
A list with five elements
Details
model : the list of linear models trained for each protein.
mu : the mean abundance matrix of each protein in each condition
sigma : the standard deviation matrix of each protein in each condition
promean: the mean abundance vector of each protein across all the samples.
protein : proteins, correpsonding to the rows in mu and sigma or the element of promean
Examples
1 2 3 | head(variance_estimation$mu)
head(variance_estimation$sigma)
head(variance_estimation$promean)
|
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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