Magnitude-based inferences output in new column on dataframe?





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Using the 'mbir' package in R, is it possible to create a new column in your data that provides the inference output instead of (or aswell as) printing in the console?



For example, say I have longitudinal athlete testing data, and I would like to assess the changes over time using magnitude based inferences. I know I can run the functions within the 'mbir' package to print the results in the console, but ideally I'd like the qualitative inference (e.g. "very likely higher") to be returned as a new column in the observation/entry row of my dataframe.



I'm very new to R programming, so sorry if this is easy/dumb question.










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  • Instead of explaining your sample data and expected output verbatim, it's always better to include sample data in a copy&paste-able format (using e.g. dput). Similarly you should include your expected output for the specific sample data. This will make it a lot easier for others to help. Take a look at how to provide a minimal reproducible example/attempt.

    – Maurits Evers
    Nov 25 '18 at 2:41




















0















Using the 'mbir' package in R, is it possible to create a new column in your data that provides the inference output instead of (or aswell as) printing in the console?



For example, say I have longitudinal athlete testing data, and I would like to assess the changes over time using magnitude based inferences. I know I can run the functions within the 'mbir' package to print the results in the console, but ideally I'd like the qualitative inference (e.g. "very likely higher") to be returned as a new column in the observation/entry row of my dataframe.



I'm very new to R programming, so sorry if this is easy/dumb question.










share|improve this question























  • Instead of explaining your sample data and expected output verbatim, it's always better to include sample data in a copy&paste-able format (using e.g. dput). Similarly you should include your expected output for the specific sample data. This will make it a lot easier for others to help. Take a look at how to provide a minimal reproducible example/attempt.

    – Maurits Evers
    Nov 25 '18 at 2:41
















0












0








0








Using the 'mbir' package in R, is it possible to create a new column in your data that provides the inference output instead of (or aswell as) printing in the console?



For example, say I have longitudinal athlete testing data, and I would like to assess the changes over time using magnitude based inferences. I know I can run the functions within the 'mbir' package to print the results in the console, but ideally I'd like the qualitative inference (e.g. "very likely higher") to be returned as a new column in the observation/entry row of my dataframe.



I'm very new to R programming, so sorry if this is easy/dumb question.










share|improve this question














Using the 'mbir' package in R, is it possible to create a new column in your data that provides the inference output instead of (or aswell as) printing in the console?



For example, say I have longitudinal athlete testing data, and I would like to assess the changes over time using magnitude based inferences. I know I can run the functions within the 'mbir' package to print the results in the console, but ideally I'd like the qualitative inference (e.g. "very likely higher") to be returned as a new column in the observation/entry row of my dataframe.



I'm very new to R programming, so sorry if this is easy/dumb question.







r






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asked Nov 25 '18 at 1:23









PupHendoPupHendo

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  • Instead of explaining your sample data and expected output verbatim, it's always better to include sample data in a copy&paste-able format (using e.g. dput). Similarly you should include your expected output for the specific sample data. This will make it a lot easier for others to help. Take a look at how to provide a minimal reproducible example/attempt.

    – Maurits Evers
    Nov 25 '18 at 2:41





















  • Instead of explaining your sample data and expected output verbatim, it's always better to include sample data in a copy&paste-able format (using e.g. dput). Similarly you should include your expected output for the specific sample data. This will make it a lot easier for others to help. Take a look at how to provide a minimal reproducible example/attempt.

    – Maurits Evers
    Nov 25 '18 at 2:41



















Instead of explaining your sample data and expected output verbatim, it's always better to include sample data in a copy&paste-able format (using e.g. dput). Similarly you should include your expected output for the specific sample data. This will make it a lot easier for others to help. Take a look at how to provide a minimal reproducible example/attempt.

– Maurits Evers
Nov 25 '18 at 2:41







Instead of explaining your sample data and expected output verbatim, it's always better to include sample data in a copy&paste-able format (using e.g. dput). Similarly you should include your expected output for the specific sample data. This will make it a lot easier for others to help. Take a look at how to provide a minimal reproducible example/attempt.

– Maurits Evers
Nov 25 '18 at 2:41














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