Package index • ShinyQDA

All functions

check_dependencies(): Utility function to determine whether the package dependencies are available.

codebook_server(): Server for the codebook.

codebook_ui(): UI for the codebook.

coding_server(): Server text coding.

coding_ui(): UI for text coding.

color_palette: This palette was created from https://colorbrewer2.org using qualitative type with 12 classes. There are two schemes given these parameters, the first 12 are from a lighter palette and the second 12 are from a darker palette.

cooccurance_plot(): Co-Occurance Plot

daacs_data daacs_codings daacs_text_responses daacs_rubric: Sample data from the Diagnostic Assessment and Achievement of College Skills (DAACS)

data_view_server(): Server for the data view.

data_view_ui(): UI for the data view.

descriptives_server(): Server for the descriptive statistics.

descriptives_ui(): UI for the descriptive statistics.

find_document_column(): Find the column with the longest character string.

find_primary_key_column(): Finds the first column that can be used as the primary key.

get_coding_table(): Returns a table where each row represents a text coded by a coder and each column represents the number of codes present by that coder.

get_colors(): Returns a color palette to use for code highlighting.

highlighter(): Highlights the codes within the text using HTML.

irr(): Calculate inter-rater reliability statistics

lexicon_colors: Color palettes for the various sentiment lexicons

missing_dependencies(): Utility function to determine whether the package dependencies are available.

modalDialog2(): Alternative modal dialog.

new_app(): Create a new ShinyQDA application

qda(): Data object for qualitative data analysis.

qda_datatable(): Wrapper to datatable function.

qda_merge(): Merges codings with the text data.

qda_view_server(): Server the raw data view.

qda_view_ui(): UI for the raw data view.

question_responses_to_data_frame(): Utility function to convert code and text questions to a wide data.frame.

questions_server(): Server the raw data view.

questions_ui(): UI for the raw data view.

reliability_server(): Server for the inter-rater reliability analysis.

reliability_ui(): UI for the inter-rater reliability analysis.

rubric_edit_server(): Server logic for the rubric.

rubric_edit_ui(): UI for the rubric.

sentiment_highlighter(): Returns an HTML character highlighting the sentiments.

sentiment_plot(): Plot sentiment for an individual text.

sentiment_server(): Server for the sentiment analysis.

sentiment_ui(): UI for the sentiment analysis

shinyQDA(): Run the ShinyQDA application locally.

shiny_server(): Shiny Server for QDA

shiny_ui(): Shiny User Interface for QDA

text_truncate(): Returns the first words that fit within the given number of characeters.

text_wrap_mod(): Wrap label text.

topic_modeling_server(): Server for the sentiment analysis.

topic_modeling_ui(): UI for the topic modeling analysis