xdesign-methods: ~~ Methods for Function 'xdesign' ~~
In metabomxtr: A package to run mixture models for truncated metabolomics data with normal or lognormal distributions
Description
~~ Methods for function xdesign ~~
Methods
signature(x="data.frame",m="ANY")-
The columns of data frame 'x' specified in the input Formula object 'm' are converted to the design matrix for the discrete portion of the mixture model.
signature(x="ExpressionSet",m="ANY")-
The columns of the phenoData section of expression set 'x' specified in the input Formula object 'm' are converted to the design matrix for the discrete portion of the mixture model.
signature(x="matrix",m="ANY")-
The columns of matrix 'x' specified in the input Formula object 'm' are converted to the design matrix for the discrete portion of the mixture model.
metabomxtr documentation built on Nov. 8, 2020, 6:50 p.m.
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Description
~~ Methods for function xdesign ~~
Methods
signature(x="data.frame",m="ANY")-
The columns of data frame 'x' specified in the input Formula object 'm' are converted to the design matrix for the discrete portion of the mixture model.
signature(x="ExpressionSet",m="ANY")-
The columns of the phenoData section of expression set 'x' specified in the input Formula object 'm' are converted to the design matrix for the discrete portion of the mixture model.
signature(x="matrix",m="ANY")-
The columns of matrix 'x' specified in the input Formula object 'm' are converted to the design matrix for the discrete portion of the mixture model.
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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