ggplot2 compatibility

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: metagam
 Type: Package
 Title: Meta-Analysis of Generalized Additive Models
-Version: 0.4.0.9000
+Version: 0.4.1
 Authors@R: c(person("Oystein", "Sorensen", 
                     email = "oystein.sorensen@psykologi.uio.no", 
                     role = c("aut", "cre"),

R/plot_metagam.R

@@ -92,22 +92,21 @@ plot.metagam <- function(x, term = NULL, ci = "none", legend = FALSE,
   } else if(length(xvars) == 2){
     metadat <- metadat[, c(xvars, "estimate", "se")]
 
-    plot_bivariate_smooth(metadat, xvars, term)
+    plot_bivariate_smooth(metadat, xvars)
   } else {
     stop("plot.metagam currently only works for univariate or bivariate terms.")
   }
 
 }
 
-plot_bivariate_smooth <- function(metadat, xvars, term){
+plot_bivariate_smooth <- function(metadat, xvars){
 
   names(metadat)[names(metadat) %in% xvars] <- c("xxxaaa", "xxxbbb")
 
   ggplot2::ggplot(metadat, ggplot2::aes(x = .data$xxxaaa, y = .data$xxxbbb,
                                         z = .data$estimate)) +
     ggplot2::geom_raster(ggplot2::aes(fill = .data$estimate)) +
     ggplot2::geom_contour() +
-    ggplot2::labs(term) +
     ggplot2::theme_minimal() +
     ggplot2::scale_fill_distiller(palette = "RdBu", type = "div") +
     ggplot2::xlab(xvars[[1]]) +

cran-comments.md

@@ -1,9 +1,9 @@
 ## Comments
 
-This is a resubmission which contains several improvements and bug fixes. We changed from using citEntry() to bibentry() after previous submission.
+This is a resubmission which ensures consistency with the upcoming release of ggplot2.
 
 ## Test environments
-* local OS X install, R 4.2.2
+* local OS X install, R 4.5.1
 * os X, Windows, and Linux on GitHub Actions.
 * R win-devel
 

news.md

@@ -1,5 +1,6 @@
 # metagam (development versions)
 
+- Small internal fix for consistency with newest ggplot2 version.
 - Added a workaround which allows not providing the unused variables when the
   terms argument is used.