Compare Score with a Benchmark
Usage
benchmark_score(
data,
column,
benchmark,
mean,
sd,
n,
tail = "one",
remove_missing = TRUE,
input = "long",
output = "console"
)Arguments
- data
dataframe
- column
a column of scores from the dataframe
- benchmark
benchmark
- mean
if input = "values", enter mean value
- sd
if input = "values", enter standard deviation value
- n
if input = "values", enter total number of scores
- tail
one-tailed or two-tailed test
- remove_missing
TRUE/FALSE (Default is TRUE)
- input
Default: "long" - long form of data, "values" to pass values directly. If using this option, must specify mean, sd, and n.
- output
Default: "console" - prints output in console and returns tibble invisibly.
Examples
scores <- 80 + 23 * scale(rnorm(172)) # 80 = mean, 23 = sd
data <- data.frame(scores = scores)
benchmark_score(data, scores, 67)
#>
#> ── Compare Score with a Benchmark ──────────────────────────────────────────────
#> We can be 100% confident that the true score is between 67 and 93
#> term result
#> mean 80
#> sd 23
#> se 1.753734
#> n 172
#> df 171
#> probability 2.732705e-12
#> tail one
#> confidence 1
#> margin_of_error 13
#> t 7.412757
#> lower_ci 67
#> upper_ci 93
data |> benchmark_score(scores, 67)
#>
#> ── Compare Score with a Benchmark ──────────────────────────────────────────────
#> We can be 100% confident that the true score is between 67 and 93
#> term result
#> mean 80
#> sd 23
#> se 1.753734
#> n 172
#> df 171
#> probability 2.732705e-12
#> tail one
#> confidence 1
#> margin_of_error 13
#> t 7.412757
#> lower_ci 67
#> upper_ci 93
benchmark_score(mean = 80, sd = 23, n = 172, benchmark = 67, input = "values")
#>
#> ── Compare Score with a Benchmark ──────────────────────────────────────────────
#> We can be 100% confident that the true score is between 67 and 93
#> term result
#> mean 80
#> sd 23
#> se 1.753734
#> n 172
#> df 171
#> probability 2.732705e-12
#> tail one
#> confidence 1
#> margin_of_error 13
#> t 7.412757
#> lower_ci 67
#> upper_ci 93