CRAN RC 1.5.1 (#242)

CITATION.cff

@@ -1,5 +1,5 @@
 # -----------------------------------------------------------
-# CITATION file created with {cffr} R package, v0.4.1
+# CITATION file created with {cffr} R package, v0.5.0
 # See also: https://docs.ropensci.org/cffr/
 # -----------------------------------------------------------
 
@@ -8,7 +8,7 @@ message: 'To cite package "statsExpressions" in publications use:'
 type: software
 license: GPL-3.0-only
 title: 'statsExpressions: Tidy Dataframes and Expressions with Statistical Details'
-version: 1.5.0.9000
+version: 1.5.1
 doi: 10.21105/joss.03236
 abstract: 'Utilities for producing dataframes with rich details for the most common
   types of statistical approaches and tests: parametric, nonparametric, robust, and
@@ -95,7 +95,7 @@ references:
   - family-names: Ben-Shachar
     given-names: Mattan S.
   year: '2023'
-  version: '>= 1.2-0'
+  version: '>= 1.3-0'
 - type: software
   title: BayesFactor
   abstract: 'BayesFactor: Computation of Bayes Factors for Common Designs'
@@ -145,7 +145,7 @@ references:
   abstract: 'datawizard: Easy Data Wrangling and Statistical Transformations'
   notes: Imports
   url: https://easystats.github.io/datawizard/
-  repository: https://CRAN.R-project.org/package=datawizard
+  repository: https://easystats.r-universe.dev
   authors:
   - family-names: Patil
     given-names: Indrajeet
@@ -197,13 +197,13 @@ references:
     email: [email protected]
     orcid: https://orcid.org/0000-0003-4777-038X
   year: '2023'
-  version: '>= 1.1.1'
+  version: '>= 1.1.2'
 - type: software
   title: effectsize
   abstract: 'effectsize: Indices of Effect Size'
   notes: Imports
   url: https://easystats.github.io/effectsize/
-  repository: https://CRAN.R-project.org/package=effectsize
+  repository: https://easystats.r-universe.dev
   authors:
   - family-names: Ben-Shachar
     given-names: Mattan S.
@@ -281,8 +281,12 @@ references:
     given-names: Vincent
     email: [email protected]
     orcid: https://orcid.org/0000-0003-2042-7063
-  version: '>= 0.19.1'
+  - family-names: Bacher
+    given-names: Etienne
+    email: [email protected]
+    orcid: https://orcid.org/0000-0002-9271-5075
   year: '2023'
+  version: '>= 0.19.2'
 - type: software
   title: magrittr
   abstract: 'magrittr: A Forward-Pipe Operator for R'
@@ -302,7 +306,7 @@ references:
   abstract: 'parameters: Processing of Model Parameters'
   notes: Imports
   url: https://easystats.github.io/parameters/
-  repository: https://CRAN.R-project.org/package=parameters
+  repository: https://easystats.r-universe.dev
   authors:
   - family-names: Lüdecke
     given-names: Daniel
@@ -328,13 +332,13 @@ references:
     email: [email protected]
     orcid: https://orcid.org/0000-0001-9560-6336
   year: '2023'
-  version: '>= 0.20.3'
+  version: '>= 0.21.0'
 - type: software
   title: performance
   abstract: 'performance: Assessment of Regression Models Performance'
   notes: Imports
   url: https://easystats.github.io/performance/
-  repository: https://CRAN.R-project.org/package=performance
+  repository: https://easystats.r-universe.dev
   authors:
   - family-names: Lüdecke
     given-names: Daniel
@@ -361,7 +365,7 @@ references:
     email: [email protected]
     orcid: https://orcid.org/0000-0001-9560-6336
   year: '2023'
-  version: '>= 0.10.2'
+  version: '>= 0.10.3'
 - type: software
   title: PMCMRplus
   abstract: 'PMCMRplus: Calculate Pairwise Multiple Comparisons of Mean Rank Sums
@@ -374,6 +378,7 @@ references:
     email: [email protected]
     orcid: https://orcid.org/0000-0003-3855-3025
   year: '2023'
+  version: '>= 1.9.6'
 - type: software
   title: purrr
   abstract: 'purrr: Functional Programming Tools'
@@ -447,6 +452,7 @@ references:
   - family-names: Girlich
     given-names: Maximilian
   year: '2023'
+  version: '>= 1.3.0'
 - type: software
   title: withr
   abstract: 'withr: Run Code ''With'' Temporarily Modified Global State'
@@ -485,7 +491,6 @@ references:
     given-names: Rand
     email: [email protected]
   year: '2023'
-  version: '>= 1.1-4'
 - type: software
   title: zeallot
   abstract: 'zeallot: Multiple, Unpacking, and Destructuring Assignment'
@@ -664,9 +669,9 @@ references:
   authors:
   - family-names: Wickham
     given-names: Hadley
-    email: hadley@rstudio.com
+    email: hadley@posit.co
   year: '2023'
-  version: '>= 3.1.7'
+  version: '>= 3.1.8'
 - type: software
   title: utils
   abstract: 'R: A Language and Environment for Statistical Computing'

DESCRIPTION

@@ -1,7 +1,7 @@
 Type: Package
 Package: statsExpressions
 Title: Tidy Dataframes and Expressions with Statistical Details
-Version: 1.5.0.9000
+Version: 1.5.1
 Authors@R: 
     person(given = "Indrajeet",
            family = "Patil",
@@ -25,25 +25,25 @@ BugReports: https://github.com/IndrajeetPatil/statsExpressions/issues
 Depends: 
     R (>= 4.1.0)
 Imports:
-    afex (>= 1.2-0),
+    afex (>= 1.3-0),
     BayesFactor (>= 0.9.12-4.4),
     correlation (>= 0.8.4),
     datawizard (>= 0.7.1),
-    dplyr (>= 1.1.1),
+    dplyr (>= 1.1.2),
     effectsize (>= 0.8.3),
     glue,
-    insight (>= 0.19.1),
+    insight (>= 0.19.2),
     magrittr,
-    parameters (>= 0.20.3),
-    performance (>= 0.10.2),
-    PMCMRplus,
+    parameters (>= 0.21.0),
+    performance (>= 0.10.3),
+    PMCMRplus (>= 1.9.6),
     purrr (>= 1.0.1),
     rlang,
     stats,
     tibble (>= 3.2.1),
-    tidyr,
+    tidyr (>= 1.3.0),
     withr,
-    WRS2 (>= 1.1-4),
+    WRS2,
     zeallot
 Suggests:
     ggplot2,
@@ -54,7 +54,7 @@ Suggests:
     rmarkdown,
     rstantools,
     survival,
-    testthat (>= 3.1.7),
+    testthat (>= 3.1.8),
     utils
 VignetteBuilder: 
     knitr

NEWS.md

@@ -1,4 +1,4 @@
-# statsExpressions 1.5.0.9000
+# statsExpressions 1.5.1
 
 ## MAJOR CHANGES
 

R/oneway_anova.R

@@ -258,7 +258,7 @@ oneway_anova <- function(data,
         formula      = new_formula(enexpr(y), expr(!!enexpr(x) + .rowid)),
         rscaleFixed  = bf.prior,
         whichRandom  = ".rowid",
-        rscaleRandom = 1
+        rscaleRandom = 1.0
       )
     }
 

README.Rmd

@@ -87,7 +87,7 @@ table:
 
 ```{r}
 #| label = "kable"
-# setup
+
 set.seed(123)
 
 # one-sample robust t-test
@@ -169,7 +169,7 @@ If you want to display more than one expression in a plot, you will *have to* pa
 
 ```{r}
 #| label = "anova_rob1"
-# setup
+
 set.seed(123)
 library(ggridges)
 
@@ -188,7 +188,7 @@ ggplot(iris, aes(x = Sepal.Length, y = Species)) +
 
 ```{r}
 #| label = "anova_parametric2"
-# setup
+
 set.seed(123)
 library(WRS2)
 library(ggbeeswarm)
@@ -216,7 +216,7 @@ ggplot2::ggplot(WineTasting, aes(Wine, Taste, color = Wine)) +
 
 ```{r}
 #| label = "t_two"
-# setup
+
 set.seed(123)
 library(gghalves)
 
@@ -234,7 +234,7 @@ ggplot(ToothGrowth, aes(supp, len)) +
 
 ```{r}
 #| label = "t_two_paired1"
-# setup
+
 set.seed(123)
 library(tidyr)
 library(PairedData)
@@ -264,7 +264,7 @@ paired.plotProfiles(PrisonStress, "PSSbefore", "PSSafter", subjects = "Subject")
 
 ```{r}
 #| label = "t_one"
-# setup
+
 set.seed(123)
 
 # dataframe with results
@@ -283,7 +283,7 @@ Let's look at another example where we want to run correlation analysis:
 
 ```{r}
 #| label = "corr"
-# setup
+
 set.seed(123)
 
 # dataframe with results
@@ -305,7 +305,7 @@ For categorical/nominal data - one-sample:
 
 ```{r}
 #| label = "gof"
-# setup
+
 set.seed(123)
 
 # dataframe with results
@@ -336,7 +336,7 @@ to display them in plots:
 
 ```{r}
 #| label = "expr_output"
-# setup
+
 set.seed(123)
 
 # Pearson's chi-squared test of independence
@@ -349,7 +349,7 @@ contingency_table(mtcars, am, vs)$expression[[1]]
 #| label = "metaanalysis",
 #| fig.height = 14,
 #| fig.width = 12
-# setup
+
 set.seed(123)
 library(metaviz)
 library(metaplus)
@@ -380,7 +380,7 @@ include. For example, here only statistic and *p*-values are included:
 
 ```{r}
 #| label = "custom_expr"
-# setup
+
 set.seed(123)
 
 # extracting detailed expression

README.md

@@ -54,7 +54,6 @@ The package can be cited as:
 
 ``` r
 citation("statsExpressions")
-
 To cite package 'statsExpressions' in publications use:
 
   Patil, I., (2021). statsExpressions: R Package for Tidy Dataframes
@@ -160,7 +159,6 @@ Needless to say this will also work with the `kable` function to
 generate a table:
 
 ``` r
-# setup
 set.seed(123)
 
 # one-sample robust t-test
@@ -265,7 +263,6 @@ If you want to display more than one expression in a plot, you will
 ### Between-subjects design
 
 ``` r
-# setup
 set.seed(123)
 library(ggridges)
 
@@ -285,7 +282,6 @@ ggplot(iris, aes(x = Sepal.Length, y = Species)) +
 ### Within-subjects design
 
 ``` r
-# setup
 set.seed(123)
 library(WRS2)
 library(ggbeeswarm)
@@ -314,7 +310,6 @@ ggplot2::ggplot(WineTasting, aes(Wine, Taste, color = Wine)) +
 ### Between-subjects design
 
 ``` r
-# setup
 set.seed(123)
 library(gghalves)
 
@@ -333,7 +328,6 @@ ggplot(ToothGrowth, aes(supp, len)) +
 ### Within-subjects design
 
 ``` r
-# setup
 set.seed(123)
 library(tidyr)
 library(PairedData)
@@ -364,7 +358,6 @@ paired.plotProfiles(PrisonStress, "PSSbefore", "PSSafter", subjects = "Subject")
 ## Expressions for one-sample tests
 
 ``` r
-# setup
 set.seed(123)
 
 # dataframe with results
@@ -384,7 +377,6 @@ ggplot(mtcars, aes(wt)) +
 Let’s look at another example where we want to run correlation analysis:
 
 ``` r
-# setup
 set.seed(123)
 
 # dataframe with results
@@ -407,7 +399,6 @@ ggplot(mtcars, aes(mpg, wt)) +
 For categorical/nominal data - one-sample:
 
 ``` r
-# setup
 set.seed(123)
 
 # dataframe with results
@@ -439,7 +430,6 @@ You can also use these function to get the expression in return without
 having to display them in plots:
 
 ``` r
-# setup
 set.seed(123)
 
 # Pearson's chi-squared test of independence
@@ -452,7 +442,6 @@ contingency_table(mtcars, am, vs)$expression[[1]]
 ## Expressions for meta-analysis
 
 ``` r
-# setup
 set.seed(123)
 library(metaviz)
 library(metaplus)
@@ -485,7 +474,6 @@ you wish to include. For example, here only statistic and *p*-values are
 included:
 
 ``` r
-# setup
 set.seed(123)
 
 # extracting detailed expression