clean_data: Function to extracts erotic trials
In marton-balazs-kovacs/tppr: Shiny app to show real-time results of the TPP project
Description
Usage
Arguments
Value
Examples
Description
This function takes the raw data which contains all the trials
(see read_data), and excludes non-erotic trials, and
trials with missing trial numbers.
Usage
1
clean_data(raw_data)
Arguments
raw_data
dataframe, df containing all trials
Value
The output is the processed dataframe, that can be analyzed with
the analysis functions analysis_confirmatory, analysis_robustness,
analysis_exploratory.
Examples
1
tpp_processed_data <- clean_data(raw_data = example_m0)
marton-balazs-kovacs/tppr documentation built on Oct. 27, 2021, 3:04 p.m.
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Description Usage Arguments Value Examples
Description
This function takes the raw data which contains all the trials
(see read_data), and excludes non-erotic trials, and
trials with missing trial numbers.
Usage
1 | clean_data(raw_data)
|
Arguments
raw_data |
dataframe, df containing all trials |
Value
The output is the processed dataframe, that can be analyzed with
the analysis functions analysis_confirmatory, analysis_robustness,
analysis_exploratory.
Examples
1 | tpp_processed_data <- clean_data(raw_data = example_m0)
|
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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