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Quantitative User Experience (UX) Research in R

The purpose of this package is to provide convenience functions for user experience research. Particularly, this package focuses on quantitative user experience testing and reporting.

Installation

Please note that this package is in early development and there will be breaking changes.

You can install the package directly from CRAN using:

install.packages("uxr")

To install the development version, use:

remotes::install_github("joe-chelladurai/uxr")

Available functions

Published on CRAN

  • adjusted_wald_ci
  • wald test
  • benchmark_comparison
  • task_completion
  • mean_ci
  • mean_ci_2

Development Version

  • benchmark_event

  • benchmark_time

  • benchmark_score

  • get_concordant_discordant_pairs

  • test_t

  • test_t_paired

  • test_mcnemar

  • test_fisher

  • test_n_1_prop

  • test_wald

  • test_wald_adj

  • compare_means_within_groups - two-sample t-test (Welsh/Student)

  • compare_means_between_groups - paired t-test

  • compare_rates_within_groups - mcnemar exact test

  • compare_rates_between_groups - n-1 two proportion test

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Version

Install

install.packages('uxr')

Monthly Downloads

154

Version

0.2.0

License

MIT + file LICENSE

Maintainer

Joe Chelladurai

Last Published

December 25th, 2022

Functions in uxr (0.2.0)

compare_means_between_groups

Compare Means Between Groups
table_observed_expected

Observed Expected Table
get_confidence_intervals_within_groups

Get Confidence Intervals Within Groups
uxr-package

uxr: User Experience Research
test_chisq_one

Chi-squared One Sample
test_wald

Wald Confidence Intervals
test_fisher

Fisher's Test
test_mcnemar

McNemar Test
test_n_1_prop

N-1 Two Proportions Test
get_confidence_intervals_event

Get Confidence Intervals for Event Rate
test_wald_adj

Adjusted Wald Confidence Intervals
test_chisq_two

Chi-squared Two Sample
%>%

Pipe operator
stat_mean_ci

Mean Confidence Intervals
stat_mean_ci_2

Mean Confidence Intervals (Large Samples)
test_t

T-test
test_t_paired

Paired t-test
compare_means_within_groups

Compare Means Within Groups
compare_rates_within_groups

Compare Rates Within Groups
get_concordant_discordant_pairs

Get concordant and discordant pairs for two variables
compare_rates_between_groups

Compare Rates Between Groups
benchmark_time

Compare Time with a Benchmark
dist_t

T Distribution
benchmark_score

Compare Score with a Benchmark
benchmark_event

Compare Probability of an Event with Benchmark