View source: R/oolong_summary.R
print.oolong_summary | R Documentation |
These functions print or plot a useful summary of the results from summarize_oolong
. For details, please see the overview vignette: vignette("overview", package = "oolong")
## S3 method for class 'oolong_summary'
print(x, ...)
## S3 method for class 'oolong_summary'
plot(x, ...)
x |
an oolong_summary |
... |
other parameters |
None
Print function displays the following information:
(wi, wsi) Higher value indicates better topic interpretability
(wi) Higher value indicates better topic interpretability
(wi) Model precision's p-value calculated by one-sample binomial test and Fisher's Omnibus method.
(wi, wsi, gs) Krippendorff's Alpha, if more than one oolong object is analyzed.
(wi, wsi) Model precision for each topic.
(ti) Mean topic log odds, higher value indicates better interpretability
(ti) Median topic log odds, higher value indicates better interpretability
(ti) Quantiles of topic log odds
(ti) Median topic log odds's p-value calculated by permutation test.
(gs) Pearson's correlation between average answer and target value
(gs) Pearson's correlation between content length and target value
Plot function displays a diagnostic plot with the following subplots (gs only).
Correlation between answer from coders and target value to check for correlation between two values. Both axes are minmax transformed.
Bland-altman plot of answer from coders and target value to check for agreement between two values.
Correlation between target value and content length to check for the influence of content length.
Cook's distance to check for influential observations.
Chung-hong Chan
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