Package 'experiences'

Title: Experience Research
Description: Provides convenience functions for researching experiences including user, customer, patient, employee, and other human experiences. It provides a suite of tools to simplify data exploration such as benchmarking, comparing groups, and checking for differences. The outputs translate statistical approaches in applied experience research to human readable output.
Authors: Joe Chelladurai [aut, cre]
Maintainer: Joe Chelladurai <[email protected]>
License: MIT + file LICENSE
Version: 0.1.1
Built: 2026-05-26 06:57:03 UTC
Source: https://github.com/cran/experiences

Help Index

Compare Probability of an Event with Benchmark

Description

Compare Probability of an Event with Benchmark

Usage

compare_benchmark_event(
  benchmark,
  event,
  total,
  event_type = "",
  notes = c("minimal", "technical")
)

Arguments

benchmark

benchmark
event

event
total

total
event_type

Optional: a string describing the type of event. For example, success, failure, etc.
notes

whether output should contain minimal, technical, or executive type of notes.

Value

list of event rate, probability, notes

Examples

compare_benchmark_event(benchmark = 0.7,
                     event = 10,
                     total = 12,
                     event_type = "success",
                     notes = "minimal")

Compare Score with a Benchmark

Description

Compare Score with a Benchmark

Usage

compare_benchmark_score(
  data,
  benchmark,
  alpha,
  tail = "one",
  remove_missing = TRUE
)

Arguments

data

a column or vector of scores
benchmark

benchmark
alpha

alpha
tail

one-tailed or two-tailed test
remove_missing

TRUE/FALSE remove missing values? (default is TRUE)

Value

lower_ci, upper_ci, t, probability

Examples

data <- 68 + 17 * scale(rnorm(20)) # 68 = mean, 17 = sd
compare_benchmark_score(data, benchmark = 60, alpha = 0.5)

Compare Time with a Benchmark

Description

Compare Time with a Benchmark

Usage

compare_benchmark_time(benchmark, time, alpha, remove_missing = FALSE)

Arguments

benchmark

benchmark
time

a column or vector of time values
alpha

alpha
remove_missing

TRUE/FALSE remove missing values?

Value

lower_ci, upper_ci, t, probability

Examples

compare_benchmark_time(time = c(60, 53, 70, 42, 62, 43, 81),
                       benchmark = 60,
                       alpha = 0.05)

T distribution - one-tailed

Description

T distribution - one-tailed

Usage

t_dist_one_tailed(t_score, degrees_of_freedom)

Arguments

t_score

t value
degrees_of_freedom

degrees of freedom

Value

value

T distribution - two-tailed

Description

T distribution - two-tailed

Usage

t_dist_two_tailed(t_score, degrees_of_freedom)

Arguments

t_score

t value
degrees_of_freedom

degrees of freedom

Value

value