Print and plot oolong summary — print.oolong

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")

Usage

# S3 method for class 'oolong_summary'
print(x, ...)

# S3 method for class 'oolong_summary'
plot(x, ...)

None

Print function displays the following information:

Mean model precision: (wi, wsi) Higher value indicates better topic interpretability
Quantiles of model precision: (wi) Higher value indicates better topic interpretability
P-value of the model precision: (wi) Model precision's p-value calculated by one-sample binomial test and Fisher's Omnibus method.
Krippendorff's alpha: (wi, wsi, gs) Krippendorff's Alpha, if more than one oolong object is analyzed.
K Precision: (wi, wsi) Model precision for each topic.
Mean TLO: (ti) Mean topic log odds, higher value indicates better interpretability
Median TLO: (ti) Median topic log odds, higher value indicates better interpretability
Quantiles of TLO: (ti) Quantiles of topic log odds
P-Value of the median TLO: (ti) Median topic log odds's p-value calculated by permutation test.
Correlation (average answer): (gs) Pearson's correlation between average answer and target value
Corrlation (content length): (gs) Pearson's correlation between content length and target value

Plot function displays a diagnostic plot with the following subplots (gs only).

Top left: Correlation between answer from coders and target value to check for correlation between two values. Both axes are minmax transformed.
Top right: Bland-altman plot of answer from coders and target value to check for agreement between two values.
Bottom left: Correlation between target value and content length to check for the influence of content length.
Bottom right: Cook's distance to check for influential observations.

Chung-hong Chan