Clean_Sigma: Clean_Sigma function
In EpidemiologyDVM/duke-rnet-quick: Resistance Relationship Networks using Graphical LASSO
Description
Primarily a convenience function, Clean_Sigma estimates a correlation (Sigma) matrix that may contain substantial amounts of missing data and returns it in an easily usable form for the glasso function.
Usage
1
Clean_Sigma(x, cor_method = "s", cor_pairing = "pair", replace.na = TRUE)
Arguments
x
Data used to estimate the correlation matrix.
cor_method
Character indicating method used to estimate correlations. Defaults to Spearman's method. See help file for 'cor' function.
cor_pairing
Character indicating the method used to determine how NA entries are handled. See help file for 'cor' function.
replace.na
Logical. Will replace NAs with 0s if TRUE.
EpidemiologyDVM/duke-rnet-quick documentation built on Dec. 17, 2021, 7:20 p.m.
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Description
Primarily a convenience function, Clean_Sigma estimates a correlation (Sigma) matrix that may contain substantial amounts of missing data and returns it in an easily usable form for the glasso function.
Usage
1 | Clean_Sigma(x, cor_method = "s", cor_pairing = "pair", replace.na = TRUE)
|
Arguments
x |
Data used to estimate the correlation matrix. |
cor_method |
Character indicating method used to estimate correlations. Defaults to Spearman's method. See help file for 'cor' function. |
cor_pairing |
Character indicating the method used to determine how NA entries are handled. See help file for 'cor' function. |
replace.na |
Logical. Will replace NAs with 0s if TRUE. |
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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