bin_trials: Split data_$trial into n bins.
In kleinschmidt/phonetic-sup-unsup: Supervised/unsupervised adaptation analysis
Description
Usage
Arguments
Value
Description
Split data_$trial into n bins.
Usage
1
bin_trials(data_, n_bins = 3)
Arguments
data_
data.frame with at least a 'trial' column.
n_bins
How many bins to split the trials into (defaults to 3)
Value
- A data.frame with columns trial (mean trial in bin) and trial_range
(factor with range of trials as strings, ordered correctly).
kleinschmidt/phonetic-sup-unsup documentation built on May 20, 2019, 12:33 p.m.
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Description Usage Arguments Value
Description
Split data_$trial into n bins.
Usage
1 | bin_trials(data_, n_bins = 3)
|
Arguments
data_ |
data.frame with at least a 'trial' column. |
n_bins |
How many bins to split the trials into (defaults to 3) |
Value
- A data.frame with columns trial (mean trial in bin) and trial_range (factor with range of trials as strings, ordered correctly).
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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