ParseDf: ParseDf - a fast function to extract data from a data frame...
In DCAN-Labs/MarginalModelCIFTI: MarginalModelCifti constructs and tests marginal models for surface and volume data.
Description
Usage
Arguments
Examples
Description
This function is used to extract data from a data frame and convert to a design matrix. The matrix is then input into SwE for fast computations.
Usage
1
ParseDf(external_df, notation, norm_data)
Arguments
external_df
The data frame used to extract data
notation
The formula specified by the user
norm_data
A TRUE or FALSE flag. If set to TRUE will norm the data prior to processing.
Examples
1
X <- ParseDf(external_df,notation)
DCAN-Labs/MarginalModelCIFTI documentation built on Nov. 30, 2021, 3:40 p.m.
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Description Usage Arguments Examples
Description
This function is used to extract data from a data frame and convert to a design matrix. The matrix is then input into SwE for fast computations.
Usage
1 | ParseDf(external_df, notation, norm_data)
|
Arguments
external_df |
The data frame used to extract data |
notation |
The formula specified by the user |
norm_data |
A TRUE or FALSE flag. If set to TRUE will norm the data prior to processing. |
Examples
1 | X <- ParseDf(external_df,notation)
|
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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