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Showing content from https://github.com/KhanKawsar/EstimationPlot below:

GitHub - KhanKawsar/EstimationPlot

Durga: An R package for effect size estimation and visualisation

Effect size estimation and plotting is a component of estimation statistics. Durga is an R package that aims to simplify sophisticated plotting of estimated differences in group means, which is an important part of communicating estimation statistics.

If you use Durga in your research, please cite (and read) the article:

Khan, M. K., & McLean, D. J. (2024). Durga: An R package for effect size estimation and visualisation. Journal of Evolutionary Biology. doi:10.1093/jeb/voae073

To install the released version:

> install.packages("Durga")

To install the development version:

> install.packages("devtools") # If not already installed
> devtools::install_github("KhanKawsar/EstimationPlot", build_vignettes = TRUE)

Refer to NEWS.md for a list of changes in each version, including changes in the current development version. You can read the news for an installed package by running:

> news(package = "Durga")

Read the paper Khan & McLean (2023) for a detailed description of the package. Once Durga is installed, you can read the vignette named Introduction to Durga for a shorter introduction to using Durga, complete with examples and code.

# Display the vignette in a browser
RShowDoc("Durga-intro", package = "Durga")

# Display the vignette in the help window pane
vignette("Durga-intro", package = "Durga")

A minimal example using constructed data:

  n <- 100
  df <- data.frame(val = c(rnorm(n), rnorm(n, mean = 1)),
                   group = c(rep("Control", n), rep("Group", n)))

  d <- DurgaDiff(df, data.col = "val", group.col = "group")
  # or equivalently
  d <- DurgaDiff(val ~ group, df)
  DurgaPlot(d)

─ Packages ───────────────────────────────────────────────────────────────────
 package      * version date (UTC) lib source
 cachem        1.0.6   2021-08-19 [1] CRAN (R 4.2.0)
 callr         3.7.3   2022-11-02 [1] CRAN (R 4.2.2)
 cli           3.6.0   2023-01-09 [1] CRAN (R 4.2.2)
 crayon        1.5.2   2022-09-29 [1] CRAN (R 4.2.2)
 devtools      2.4.5   2022-10-11 [1] CRAN (R 4.2.2)
 digest        0.6.31  2022-12-11 [1] CRAN (R 4.2.2)
 Durga       * 2.0     2023-12-17 [1] local
 ellipsis      0.3.2   2021-04-29 [1] CRAN (R 4.2.0)
 fastmap       1.1.0   2021-01-25 [1] CRAN (R 4.2.0)
 fs            1.6.1   2023-02-06 [1] CRAN (R 4.2.3)
 glue          1.6.2   2022-02-24 [1] CRAN (R 4.2.0)
 htmltools     0.5.4   2022-12-07 [1] CRAN (R 4.2.2)
 htmlwidgets   1.6.1   2023-01-07 [1] CRAN (R 4.2.2)
 httpuv        1.6.8   2023-01-12 [1] CRAN (R 4.2.2)
 later         1.3.0   2021-08-18 [1] CRAN (R 4.2.0)
 lifecycle     1.0.3   2022-10-07 [1] CRAN (R 4.2.2)
 magrittr      2.0.3   2022-03-30 [1] CRAN (R 4.2.0)
 memoise       2.0.1   2021-11-26 [1] CRAN (R 4.2.0)
 mime          0.12    2021-09-28 [1] CRAN (R 4.2.0)
 miniUI        0.1.1.1 2018-05-18 [1] CRAN (R 4.2.2)
 pkgbuild      1.4.0   2022-11-27 [1] CRAN (R 4.2.2)
 pkgload       1.3.2   2022-11-16 [1] CRAN (R 4.2.2)
 prettyunits   1.1.1   2020-01-24 [1] CRAN (R 4.2.0)
 processx      3.8.0   2022-10-26 [1] CRAN (R 4.2.2)
 profvis       0.3.7   2020-11-02 [1] CRAN (R 4.2.1)
 promises      1.2.0.1 2021-02-11 [1] CRAN (R 4.2.0)
 ps            1.7.2   2022-10-26 [1] CRAN (R 4.2.2)
 purrr         1.0.1   2023-01-10 [1] CRAN (R 4.2.2)
 R6            2.5.1   2021-08-19 [1] CRAN (R 4.2.0)
 Rcpp          1.0.10  2023-01-22 [1] CRAN (R 4.2.2)
 remotes       2.4.2   2021-11-30 [1] CRAN (R 4.2.0)
 rlang         1.1.0   2023-03-14 [1] CRAN (R 4.2.3)
 rstudioapi    0.14    2022-08-22 [1] CRAN (R 4.2.2)
 sessioninfo   1.2.2   2021-12-06 [1] CRAN (R 4.2.0)
 shiny         1.7.4   2022-12-15 [1] CRAN (R 4.2.2)
 stringi       1.7.12  2023-01-11 [1] CRAN (R 4.2.2)
 stringr       1.5.0   2022-12-02 [1] CRAN (R 4.2.2)
 urlchecker    1.0.1   2021-11-30 [1] CRAN (R 4.2.2)
 usethis       2.1.6   2022-05-25 [1] CRAN (R 4.2.2)
 vctrs         0.5.2   2023-01-23 [1] CRAN (R 4.2.2)
 xtable        1.8-4   2019-04-21 [1] CRAN (R 4.2.2) 

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