preprocess_data: Preprocess data
In CausalGPS: Matching on Generalized Propensity Scores with Continuous Exposures
View source: R/generate_pseudo_pop.R
preprocess_data R Documentation
Preprocess data
Description
Preprocess data to isolate extra details
Usage
preprocess_data(w, c, trim_quantiles, exposure_col)
Arguments
w
A data.frame comprised of two columns: one contains the observed
exposure variable, and the other is labeled as 'id'. The column for the
outcome variable can be assigned any name as per your requirements.
c
A data.frame of includes observed covariate variables. It should
also consist of a column named 'id'.
exposure_col
Column name that is used for exposure.
Value
A list with preprocessed and original data.
CausalGPS documentation built on Sept. 30, 2023, 1:06 a.m.
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View source: R/generate_pseudo_pop.R
| preprocess_data | R Documentation |
Preprocess data
Description
Preprocess data to isolate extra details
Usage
preprocess_data(w, c, trim_quantiles, exposure_col)
Arguments
w |
A data.frame comprised of two columns: one contains the observed exposure variable, and the other is labeled as 'id'. The column for the outcome variable can be assigned any name as per your requirements. |
c |
A data.frame of includes observed covariate variables. It should also consist of a column named 'id'. |
exposure_col |
Column name that is used for exposure. |
Value
A list with preprocessed and original data.
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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