Bootstrap CI — boot

Mean and bootstrap confidence interval.

Usage

boot_ci(stat, ci = 95, R = 1000)

Arguments

stat: Vector of observations for some statistic.
ci: Confidence interval in percentile units.
R: Number of bootstrap iterations to use when calculating statistics.

Value

Results with mean, lower, and upper columns indicating the mean statistic and the lower and upper bounds of the CI based on a bootstrap procedure.

Examples

# Calculate analysis results
raw <- sample_data("Morton2013")
data <- merge_free_recall(raw)
results <- spc(data)

# Calculate statistics grouped by input (serial) position
library(magrittr)
library(dplyr)
#> 
#> Attaching package: ‘dplyr’
#> The following objects are masked from ‘package:stats’:
#> 
#>     filter, lag
#> The following objects are masked from ‘package:base’:
#> 
#>     intersect, setdiff, setequal, union
results %>%
  group_by(input) %>%
  summarise(boot_ci(recall))
#> # A tibble: 24 × 4
#>    input  mean lower upper
#>    <dbl> <dbl> <dbl> <dbl>
#>  1     1 0.565 0.519 0.611
#>  2     2 0.505 0.457 0.554
#>  3     3 0.479 0.438 0.522
#>  4     4 0.443 0.408 0.480
#>  5     5 0.458 0.420 0.499
#>  6     6 0.449 0.416 0.483
#>  7     7 0.432 0.401 0.464
#>  8     8 0.421 0.384 0.454
#>  9     9 0.444 0.408 0.480
#> 10    10 0.436 0.397 0.477
#> # ℹ 14 more rows