Magnitude-based inferences output in new column on dataframe?
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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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
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
add a comment |
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
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
r
asked Nov 25 '18 at 1:23
PupHendoPupHendo
11
11
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
add a comment |
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
add a comment |
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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