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IndrajeetPatilIndrajeetPatil
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Follow-up on CI for dot plot (#998)
* Follow-up on CI for dot plot * fix lints * use devel easystats * add bayestestR to suggests * use devel statsExpressions
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‎DESCRIPTION

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@@ -40,7 +40,7 @@ Imports:
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ggside (>= 0.3.1),
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ggsignif (>= 0.6.4),
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glue (>= 1.8.0),
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insight (>= 1.1.0),
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insight (>= 1.2.0),
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paletteer (>= 1.6.0),
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parameters (>= 0.24.2),
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patchwork (>= 1.3.0),
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utils
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Suggests:
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afex,
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bayestestR,
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BayesFactor (>= 0.9.12-4.7),
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gapminder,
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knitr,
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vdiffr (>= 1.0.8),
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withr,
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WRS2
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Remotes:
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easystats/bayestestR,
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easystats/datawizard,
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IndrajeetPatil/statsExpressions
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VignetteBuilder:
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knitr
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Encoding: UTF-8

‎R/ggbarstats.R

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@@ -218,7 +218,7 @@ ggbarstats <- function(
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#' x = color,
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#' y = clarity,
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#' grouping.var = cut,
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#' plotgrid.args = list(nrow = 2)
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#' plotgrid.args = list(nrow = 2L)
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#' )
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#' @export
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grouped_ggbarstats <- function(

‎R/ggdotplotstats.R

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@@ -125,7 +125,6 @@ ggdotplotstats <- function(
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plot_dot <- ggplot(data, mapping = aes({{ x }}, y = rank)) +
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exec(geom_point, !!!point.args) +
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exec(geom_errorbarh, mapping = aes(xmin = conf.low, xmax = conf.high), !!!errorbar.args) +
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scale_y_continuous(
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name = ylab,
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labels = pull(data, {{ y }}),
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)
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)
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if (conf.int) {
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plot_dot <- plot_dot + exec(geom_errorbarh, mapping = aes(xmin = conf.low, xmax = conf.high), !!!errorbar.args)
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}
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# centrality plotting -------------------------------------
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if (isTRUE(centrality.plotting)) {

‎README.Rmd

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data = dplyr::filter(ggplot2::mpg, cyl %in% c("4", "6")),
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x = cty,
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y = manufacturer,
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type = "np",
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type = "bayes",
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xlab = "city miles per gallon",
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ylab = "car manufacturer",
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grouping.var = cyl,

‎README.md

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data = dplyr::filter(ggplot2::mpg, cyl %in% c("4", "6")),
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x = cty,
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y = manufacturer,
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type = "np",
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type = "bayes",
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xlab = "city miles per gallon",
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ylab = "car manufacturer",
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grouping.var = cyl,

‎codemeta.json

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},
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"sameAs": "https://CRAN.R-project.org/package=afex"
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},
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{
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"@type": "SoftwareApplication",
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"identifier": "bayestestR",
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"name": "bayestestR",
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"provider": {
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"@id": "https://cran.r-project.org",
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"@type": "Organization",
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"name": "Comprehensive R Archive Network (CRAN)",
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"url": "https://cran.r-project.org"
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},
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"sameAs": "https://github.com/easystats/bayestestR"
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},
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{
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"@type": "SoftwareApplication",
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"identifier": "BayesFactor",
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"name": "Comprehensive R Archive Network (CRAN)",
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"url": "https://cran.r-project.org"
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},
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"sameAs": "https://CRAN.R-project.org/package=datawizard"
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"sameAs": "https://github.com/easystats/datawizard"
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},
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"4": {
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"@type": "SoftwareApplication",
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"@type": "SoftwareApplication",
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"identifier": "insight",
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"name": "insight",
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"version": ">= 1.1.0",
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"version": ">= 1.2.0",
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"provider": {
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"@id": "https://cran.r-project.org",
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"@type": "Organization",
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"name": "Comprehensive R Archive Network (CRAN)",
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"url": "https://cran.r-project.org"
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},
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"sameAs": "https://CRAN.R-project.org/package=statsExpressions"
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"sameAs": "https://github.com/IndrajeetPatil/statsExpressions"
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},
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"19": {
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"@type": "SoftwareApplication",
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},
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"SystemRequirements": null
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},
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"fileSize": "9301.794KB",
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"fileSize": "10342.743KB",
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"citation": [
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{
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"@type": "ScholarlyArticle",

‎man/figures/README-ggdotplotstats2-1.png

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‎man/grouped_ggbarstats.Rd

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‎old/combine_plots.Rmd

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combine_plots(
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plotlist = plots,
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annotation.args = list(title = "Relationship between GDP (per capita) and life expectancy"),
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plotgrid.args = list(nrow = 2)
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plotgrid.args = list(nrow = 2L)
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)
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```
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‎old/ggcoefstats_old.Rmd

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y = "fixed effects"
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)
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),
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plotgrid.args = list(nrow = 2),
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plotgrid.args = list(nrow = 2L),
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annotation.args = list(title = "Relationship between movie budget and its IMDB rating")
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)
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```
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),
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# arguments relevant for `combine_plots` function
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annotation.args = list(title = "Robust variants of `lmRob` and `glmRob` \n(from`robust` package)"),
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plotgrid.args = list(nrow = 2)
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plotgrid.args = list(nrow = 2L)
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)
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```
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),
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# arguments relevant for `combine_plots`
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annotation.args = list(title = "Robust variants of `lmRob` and `glmRob` \n(from`robustbase` package)"),
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plotgrid.args = list(nrow = 2)
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plotgrid.args = list(nrow = 2L)
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)
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```
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‎old/purrr_examples.Rmd

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title = "Relationship between diamond attributes and price across cut",
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caption = "Dataset: Diamonds from ggplot2 package"
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),
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plotgrid.args = list(nrow = 2)
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plotgrid.args = list(nrow = 2L)
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)
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```
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