The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
#
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. (2023) Durga: An R package for effect size estimation and visualisation. bioRxiv, 2023.2002.2006.526960. https://doi.org/10.1101/2023.02.06.526960
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)
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.