findSigPeptides: Find Peptides With Significant Correlation to Model Peptide
In abell8/PQPQ: PQPQ For R Users
Description
This function uses the correlation and p-values matrices input to determine which peptides are higly correlated with the model peptide.
Usage
1
findSigPeptides(ModelPeptide, CorMat, p_values, threshold = 0.4)
Arguments
ModelPeptide
A number representing which row/column in the correlation matrix represents the model peptide
CorMat
The correlation matrix for the peptides, created by psych::cor().
p_values
The p-values matrix, created by psych::corr.test()
threshold
The minimum value allowed for p-values. Default is 0.4 based on recommendations by the original paper.
#@source <https://www.ncbi.nlm.nih.gov/pubmed/21734112>
abell8/PQPQ documentation built on May 20, 2019, 8:47 a.m.
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Description
This function uses the correlation and p-values matrices input to determine which peptides are higly correlated with the model peptide.
Usage
1 | findSigPeptides(ModelPeptide, CorMat, p_values, threshold = 0.4)
|
Arguments
ModelPeptide |
A number representing which row/column in the correlation matrix represents the model peptide |
CorMat |
The correlation matrix for the peptides, created by psych::cor(). |
p_values |
The p-values matrix, created by psych::corr.test() |
threshold |
The minimum value allowed for p-values. Default is 0.4 based on recommendations by the original paper. #@source <https://www.ncbi.nlm.nih.gov/pubmed/21734112> |
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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