df_to_tensor: Prepare data for tensorsem model
In vankesteren/tensorsem: Estimate structural equation models using computation graphs
df_to_tensor R Documentation
Prepare data for tensorsem model
Description
This function prepares a dataframe for a tensorsem model. It
first converts the variables to a design matrix, then centers
it, and lastly converts it to a torch_tensor
Usage
df_to_tensor(df, dtype = NULL, device = NULL)
Arguments
df
data frame
dtype
data type of the resulting tensor
device
device to store the resulting tensor on
Value
Torch tensor of scaled and processed data
See Also
torch::torch_tensor(), stats::model.matrix()
vankesteren/tensorsem documentation built on Aug. 22, 2023, 7:41 a.m.
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| df_to_tensor | R Documentation |
Prepare data for tensorsem model
Description
This function prepares a dataframe for a tensorsem model. It first converts the variables to a design matrix, then centers it, and lastly converts it to a torch_tensor
Usage
df_to_tensor(df, dtype = NULL, device = NULL)
Arguments
df |
data frame |
dtype |
data type of the resulting tensor |
device |
device to store the resulting tensor on |
Value
Torch tensor of scaled and processed data
See Also
torch::torch_tensor(), stats::model.matrix()
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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