ramchoice (version 2.2)

sumData: Generate Summary Statistics

Description

sumData generates summary statistics. Given a collection of choice problems and corresponding choices, sumData calculates the number of occurrences of each choice problem, as well as the empirical choice probabilities.

This function is embedded in revealPref.

Usage

sumData(menu, choice)

Value

sumMenu

Summary of choice problems, with repetitions removed.

sumProb

Estimated choice probabilities as sample averages for different choice problems.

sumN

Effective sample size for each choice problem.

sumMsize

Size of each choice problem.

sumProbVec

Estimated choice probabilities as sample averages, collapsed into a column vector.

Sigma

Estimated variance-covariance matrix for the choice rule, scaled by relative sample sizes.

Arguments

menu

Numeric matrix of 0s and 1s, the collection of choice problems.

choice

Numeric matrix of 0s and 1s, the collection of choices.

Author

Matias D. Cattaneo, Princeton University. .

Paul Cheung, University of Maryland.

Xinwei Ma (maintainer), University of California San Diego.

Yusufcan Masatlioglu, University of Maryland.

Elchin Suleymanov, Purdue University.

References

M. D. Cattaneo, X. Ma, Y. Masatlioglu, and E. Suleymanov (2020). A Random Attention Model. Journal of Political Economy 128(7): 2796-2836. tools:::Rd_expr_doi("10.1086/706861")

M. D. Cattaneo, P. Cheung, X. Ma, and Y. Masatlioglu (2024). Attention Overload. Working paper.

Examples

# Load data
data(ramdata)

# Generate summary statistics
summaryStats <- sumData(ramdata$menu, ramdata$choice)
nrow(summaryStats$sumMenu)
min(summaryStats$sumN)

summaryStats$sumMenu[1, ]
summaryStats$sumProb[1, ]
summaryStats$sumN[1]