Function reference • surveydata

Overview
`surveydata-package` `surveydata`	Tools, classes and methods to manipulate survey data.
`membersurvey`	Data frame with survey data of member satisfaction survey.
Coercion functions Coerces various objects to a `surveydata` object
`as.data.frame(<surveydata>)`	Coerces surveydata object to data.frame.
`as.surveydata()` `un_surveydata()`	Coercion from and to surveydata.
`is.surveydata()`	Tests whether an object is of class surveydata.
Access and modify attributes
`pattern()` `pattern<-`()	Returns and updates pattern attribute.
`varlabels()` `varlabels<-`()	Returns and updates variable.labels attribute of surveydata object.
Subset or merge surveydata objects
`merge(<surveydata>)`	Merge surveydata objects.
`[`(<surveydata>) `[<-`(<surveydata>) `$<-`(<surveydata>)	Extract or replace subsets of surveydata, ensuring that the varlabels stay synchronized.
`cbind(<surveydata>)`	Combines surveydata object by columns.
To extract question text from varlabels
`question_order()`	Changes vector to ordered factor, adding NA levels if applicable.
`question_text()`	Returns question text.
`question_text_common()`	Returns common element of question text.
`question_text_unique()`	Returns unique elements of question text.
`questions()`	Returns a list of all the unique questions in the surveydata object.
`survey_plot_question()`	Plots single and as multi-response questions.
`which.q()`	Identifies the columns indices corresponding to a specific question.
`split_common_unique()`	Get common and unique text in question based on regex pattern identification.
`strCommonUnique()`	Finds the common and unique elements in a character vector.
To fix common encoding problems
`fix_common_encoding_problems()`	Fix common encoding problems when working with web imported data.
`encToInt()`	Converts a character vector to an integer vector.
`intToEnc()`	Converts an integer vector to a character vector.
To clean data
`remove_all_dont_know()`	Removes "Do not know" and other similar words from factor levels in data frame.
`remove_dont_know()`	Removes "Don't know" from levels and replaces with NA.
`fix_levels_01_spss()` `fix_levels_01_r()` `fix_levels_01()`	Fix level formatting of all question with Yes/No type answers.
`has_dont_know()`	Tests whether levels contain "Don't know".
`leveltest_spss()` `leveltest_r()`	Fix level formatting of all question with Yes/No type answers.
Plot functions
`survey_plot_question()`	Plots single and as multi-response questions.
`survey_plot_satisfaction()`	Plot satisfaction questions.
`survey_plot_title()`	Construct plot title from the question text, wrapping at the desired width.
`survey_plot_yes_no()`	Plot data in yes/no format.
Work with open text response data
`as_opentext_datatable()`	Converts free format question text to datatable using the `DT` package.
`print_opentext()`	Print open text questions.
Miscellaneous tools
`dropout()`	Calculates at which questions respondents drop out.
`rm.attrs()`	Removes pattern and variable.labels from attributes list.
`rm.pattern()`	Removes pattern from attributes list.
`lapply_names()`	Applies function only to named elements of a list.
Using ‘dplyr’ verbs
`mutate(<surveydata>)` `as_tibble(<surveydata>)` `as.tbl(<surveydata>)` `select(<surveydata>)` `arrange(<surveydata>)` `summarise(<surveydata>)` `summarize(<surveydata>)` `slice(<surveydata>)`	Methods to support dplyr verbs.

Reference

Overview

Coercion functions

Access and modify attributes

Subset or merge surveydata objects

To extract question text from varlabels

To fix common encoding problems

To clean data

Plot functions

Work with open text response data

Miscellaneous tools

Using ‘dplyr’ verbs