sem.md

bee_trips <- 1:10

sample(bee_trips,
       size = 100,
       replace = TRUE)
#>   [1]  2  4  5  2  3  7  5  8  5  7  6  2  8  4 10  6  2  3 10  4  6  8  9  5  6
#>  [26]  6  8  7  6  8  5  4  7  5  6  3  5  3  7  1  9  4  8  7  8  3 10  3  5 10
#>  [51] 10  5  8  6  2  6  6  3  6  5  9  6  5  9  6  9  2  5  6  4  8  4  6  2  7
#>  [76]  8  9 10  7  1  3  4  5  5  4  6  8  6  2  4  5  9 10  5  9  4  5  2  5  3


some_samples <- rnorm(100, mean = 0, sd = 1)
mean(some_samples)
#> [1] 0.1367687
sd(some_samples)
#> [1] 0.9854487

repeated_samples <- replicate(
  n = 5,
  expr = rnorm(10000, mean = 0, sd = 1)
)

apply(repeated_samples,
      MARGIN = 2,
      FUN = mean)
#> [1] -0.0042172452  0.0004331823 -0.0081490056  0.0014312817 -0.0065029694

many_sds <- apply(repeated_samples,
      MARGIN = 2,
      FUN = sd)

many_sds / sqrt(10)
#> [1] 0.3175684 0.3173145 0.3178522 0.3162013 0.3134424

^{Created on 2024-03-14 with reprex v2.1.0}

Session info

sessioninfo::session_info()
#> ─ Session info ───────────────────────────────────────────────────────────────
#>  setting  value
#>  version  R version 4.3.3 (2024-02-29)
#>  os       macOS Sonoma 14.3.1
#>  system   aarch64, darwin20
#>  ui       X11
#>  language (EN)
#>  collate  en_US.UTF-8
#>  ctype    en_US.UTF-8
#>  tz       Australia/Hobart
#>  date     2024-03-14
#>  pandoc   3.1.1 @ /Applications/RStudio.app/Contents/Resources/app/quarto/bin/tools/ (via rmarkdown)
#> 
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#>  vctrs         0.6.5   2023-12-01 [1] CRAN (R 4.3.1)
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#> 
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