get_lsmeans: Compute the least squares means from a prediction grid and...
In pmartR/pmartRqc: Panomics Marketplace - Quality Control and Statistical Analysis for Panomics Data
get_lsmeans R Documentation
Compute the least squares means from a prediction grid and estimated coefficients
Description
Compute the least squares means from a prediction grid and estimated coefficients
Usage
get_lsmeans(data, xmatrix, pred_grid, Betas, continuous_covar_inds = NULL)
Arguments
data
The raw data from which the estimates were computed
xmatrix
The design matrix from which the prediction grid was constructed
pred_grid
The prediction grid, obtained from get_pred_grid
Betas
The estimated coefficients
continuous_covar_inds
The column indices of xmatrix corresponding to continuous covariates.
Value
A data frame of the least squares means
Author(s)
Daniel Claborne
pmartR/pmartRqc documentation built on April 25, 2024, 6:18 a.m.
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| get_lsmeans | R Documentation |
Compute the least squares means from a prediction grid and estimated coefficients
Description
Compute the least squares means from a prediction grid and estimated coefficients
Usage
get_lsmeans(data, xmatrix, pred_grid, Betas, continuous_covar_inds = NULL)
Arguments
data |
The raw data from which the estimates were computed |
xmatrix |
The design matrix from which the prediction grid was constructed |
pred_grid |
The prediction grid, obtained from |
Betas |
The estimated coefficients |
continuous_covar_inds |
The column indices of xmatrix corresponding to continuous covariates. |
Value
A data frame of the least squares means
Author(s)
Daniel Claborne
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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