print.oolong_summary: Print and plot oolong summary

View source: R/oolong_summary.R

print.oolong_summaryR Documentation

Print and plot oolong summary

Description

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, ...)

Arguments

x

an oolong_summary

...

other parameters

Value

None

Summary

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

Diagnostic plot

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.

Author(s)

Chung-hong Chan


oolong documentation built on Aug. 25, 2023, 5:16 p.m.