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Commit1f50306

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CRAN RC: 0.8.3 (#332)
* CRAN RC: 0.8.3* update snapshots* suppress stan glm messages* Update WORDLIST* no need to run examples conditional on hard deps* another one* add test for ROC function* slightly increase point size* update snapshots* get rid of warnings about deprecated arg* fix example* fix remaining examples* fix example* another example to fix* fix example* fix example* downgrade ggplot2 version---------Co-authored-by: Daniel <mail@danielluedecke.de>
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‎DESCRIPTION

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Type: Package
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Package: see
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Title: Model Visualisation Toolbox for 'easystats' and 'ggplot2'
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Version: 0.8.2.7
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Version: 0.8.3
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Authors@R:
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c(person(given = "Daniel",
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family = "Lüdecke",
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correlation (>= 0.8.4),
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datawizard (>= 0.9.1),
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effectsize (>= 0.8.6),
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ggplot2 (>= 3.4.0),
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insight (>= 0.19.8),
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ggplot2 (>= 3.4.4),
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insight (>= 0.19.10),
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modelbased (>= 0.8.7),
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parameters (>= 0.21.5),
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performance (>= 0.10.9)
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parameters (>= 0.21.6),
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performance (>= 0.11.0)
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Suggests:
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brms,
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curl,
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r-lib/pkgdown,
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easystats/easystatstemplate
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Config/rcmdcheck/ignore-inconsequential-notes: true
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Remotes: easystats/performance

‎NEWS.md

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#see(development version)
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#see0.8.3
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##Major changes
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‎R/coord_radar.R

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#' @inheritParams ggplot2::coord_polar
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#' @param ... Other arguments to be passed to `ggproto`.
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#'
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#' @examplesIf require("datawizard") && require("ggplot2")
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#' @examples
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#' library(ggplot2)
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#'
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#' # Create a radar/spider chart with ggplot:
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#' data(iris)
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#' data <- aggregate(iris[-5], list(Species = iris$Species), mean)
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#' data <- data_to_long(
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#' data <-datawizard::data_to_long(
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#' data,
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#' c("Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width")
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#' )

‎R/data_plot.R

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#' model <- suppressWarnings(stan_glm(
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#' Sepal.Length ~ Petal.Width + Species + Sepal.Width,
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#' data = iris,
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#' chains = 2, iter = 200
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#' chains = 2, iter = 200, refresh = 0
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#' ))
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#'
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#' result <- hdi(model, ci = c(0.5, 0.75, 0.9, 0.95))
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#' result <-bayestestR::hdi(model, ci = c(0.5, 0.75, 0.9, 0.95))
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#' data <- data_plot(result, data = model)
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#'
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#' p <- ggplot(

‎R/plot.check_heteroscedasticity.R

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#'
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#' @seealso See also the vignette about [`check_model()`](https://easystats.github.io/performance/articles/check_model.html).
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#'
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#' @examplesIf require("performance")
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#' @examples
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#' m <- lm(mpg ~ wt + cyl + gear + disp, data = mtcars)
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#' result <- check_heteroscedasticity(m)
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#' result <-performance::check_heteroscedasticity(m)
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#' result
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#' plot(result, data = m) # data required for pkgdown
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#' @export

‎R/plot.check_homogeneity.R

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#'
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#' @return A ggplot2-object.
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#'
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#' @examplesIf require("performance")
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#' @examples
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#' library(performance)
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#'
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#' model <<- lm(len ~ supp + dose, data = ToothGrowth)
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#' result <- check_homogeneity(model)
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#' result

‎R/plot.check_model.R

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#'
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#' @seealso See also the vignette about [`check_model()`](https://easystats.github.io/performance/articles/check_model.html).
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#'
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#' @examplesIf require("performance") && require("patchwork")
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#' @examplesIf require("patchwork")
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#' library(performance)
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#'
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#' model <- lm(qsec ~ drat + wt, data = mtcars)
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#' plot(check_model(model))
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#'
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colors=colors,
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detrend=detrend,
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style=style
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)
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}else {
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p$QQ<- .plot_diag_qq(

‎R/plot.check_normality.R

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#'
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#' @seealso See also the vignette about [`check_model()`](https://easystats.github.io/performance/articles/check_model.html).
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#'
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#' @examplesIf require("performance")
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#' @examples
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#' library(performance)
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#'
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#' m <<- lm(mpg ~ wt + cyl + gear + disp, data = mtcars)
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#' result <- check_normality(m)
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#' plot(result)
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#'
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#' @examplesIf require("performance") && require("qqplotr")
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#' @examplesIf require("qqplotr")
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#' plot(result, type = "qq", detrend = TRUE)
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#'
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#' @export
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plot.see_check_normality<-function(x,
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type= c("qq","pp","density"),
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data=NULL,
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size_line=0.8,
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size_point=1.5,
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size_point=2,
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alpha=0.2,
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dot_alpha=0.8,
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colors= c("#3aaf85","#1b6ca8"),

‎R/plot.check_predictions.R

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#'
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#' @seealso See also the vignette about [`check_model()`](https://easystats.github.io/performance/articles/check_model.html).
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#'
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#' @examplesIf require("performance")
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#' @examples
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#' library(performance)
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#'
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#' model <- lm(Sepal.Length ~ Species * Petal.Width + Petal.Length, data = iris)
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#' check_predictions(model)
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#'

‎R/plot.compare_parameters.R

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#'
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#' @return A ggplot2-object.
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#'
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#' @examplesIf require("insight") && require("parameters")
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#' @examples
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#' data(iris)
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#' lm1 <- lm(Sepal.Length ~ Species, data = iris)
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#' lm2 <- lm(Sepal.Length ~ Species + Petal.Length, data = iris)
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#' lm3 <- lm(Sepal.Length ~ Species * Petal.Length, data = iris)
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#' result <- compare_parameters(lm1, lm2, lm3)
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#' result <-parameters::compare_parameters(lm1, lm2, lm3)
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#' plot(result)
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#' @export
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plot.see_compare_parameters<-function(x,

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