surveysearch

Search and examine variables across survey datasets with ease.

Overview

surveysearch provides tools to navigate complex survey data with many variables. It helps you:

• Search for variables by name or label across datasets
• Examine variable properties including labels, values, and missingness patterns
• Explore variable context to understand survey structure and questionnaire flow

Installation

You can install the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("malo-raballand/surveysearch")

Usage

Search for variables

# Search for variables containing "education"
search_variables("educ")

# Store results for further analysis
results <- search_variables("income")
View(results)

Examine a variable

# Display detailed information about a variable
examine_variable("age", data = my_dataset)

# Get information without printing
info <- examine_variable("income", data = my_dataset, verbose = FALSE)

Show variable context

# See a variable's position in the survey with surrounding questions
show_variable_context("q501", data = my_dataset)

Functions

• search_variables() - Search for variables across datasets
• examine_variable() - Get detailed information about a specific variable
• show_variable_context() - View a variable’s context within a dataset

Requirements

• R >= 3.5.0
• haven - for reading Stata, SPSS, and SAS files
• dplyr - for data manipulation
• tidyr - for tidying data

License

MIT License - see LICENSE file for details

Author

Malo Raballand (malo.raballand@sciencespo.fr)