Dispersion

R tricks Distributions Gaussian distribution

Post that will link closely to glossary entries and shiny apps all about dispersion, scatter, variance

Author

Affiliation

Chris Evans ORCID ID for Chris Evans

PSYCTC.org

Published

March 11, 2024

Citation

Evans, 2024
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Dispersion is a useful term in statistics covering the basic idea of how widely scattered values are in a distribution. This blog post is really providing a collection of simulations and plots to illustrate various entries in the glossary for the OMbook.

Here is a trivial example starting from the glossary entry for dispersion.

Show code 
### from the glossary
tmp <- c(18, 18, 18, 19, 19, 19, 20, 20, 20, 21, 23, 23, 24, 24, 24, 25, 27, 28, 30, 31)
tmp2 <- c(27, 31, 32, 35, 37, 42, 44, 47, 51, 53, 55, 56, 59, 60, 63, 65, 68, 71, 75, 83)
tibble(data1 = tmp,
       data2 = tmp2) -> tmpTib
tmpTib %>%
  pivot_longer(cols = c(data1, data2)) -> tmpTibLong

ggplot(data = tmpTibLong,
       aes(x = value)) +
  facet_grid(cols = vars(name)) +
  geom_histogram()
Show code 
ggsave(filename = "dispersion1.png", width = 800, height = 600, units = "px")

Dates

1 Started 11.iii.24

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Last updated

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cat(paste(format(Sys.time(), "%d/%m/%Y"), "at", format(Sys.time(), "%H:%M")))
05/04/2024 at 21:30

Footnotes

    Reuse

    Text and figures are licensed under Creative Commons Attribution CC BY-SA 4.0. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".

    Citation

    For attribution, please cite this work as

    Evans (2024, March 11). Chris (Evans) R SAFAQ: Dispersion. Retrieved from https://www.psyctc.org/R_blog/posts/2024-03-11-dispersion/

    BibTeX citation

    @misc{evans2024dispersion,
  author = {Evans, Chris},
  title = {Chris (Evans) R SAFAQ: Dispersion},
  url = {https://www.psyctc.org/R_blog/posts/2024-03-11-dispersion/},
  year = {2024}
}