Replaced raster graphics in vignettes with vector graphics.

jan-imbi · Oct 18, 2023 · 546b9c5 · 546b9c5
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diff --git a/DESCRIPTION b/DESCRIPTION
@@ -1,7 +1,7 @@
 Package: adestr
 Type: Package
 Title: Estimation in Optimal Adaptive Two-Stage Designs
-Version: 0.5.0
+Version: 0.5.1
 Authors@R:c(person("Jan", "Meis", role = c("aut", "cre"), email = "meis@imbi.uni-heidelberg.de", comment = c(ORCID = "0000-0001-5407-7220")),
   person("Martin", "Maechler", role = c("cph"), email = "maechler@stat.math.ethz.ch", comment = c(ORCID = "0000-0002-8685-9910", "Original author of monoSpl.c (from the 'stats' package).")))
 Description:

diff --git a/NEWS.md b/NEWS.md
@@ -1,3 +1,7 @@
+# adestr 0.5.1
+
+* Replaced raster graphics in vignettes with vector graphics.
+
 # adestr 0.5.0
 
 * First CRAN submission.

diff --git a/README.Rmd b/README.Rmd
@@ -61,7 +61,7 @@ library(adestr)
 
 Then, you can evaluate the performance of an estimator like this:
 
-```{r}
+```{r, fig.width=7.2, fig.height=4, dev="svg"}
 evaluate_estimator(
  score = MSE(),
  estimator = SampleMean(),

diff --git a/README.md b/README.md
@@ -82,7 +82,7 @@ evaluate_estimator(
   plot()
 ```
 
-<img src="man/figures/README-unnamed-chunk-4-1.png" width="100%" />
+<img src="man/figures/README-unnamed-chunk-4-1.svg" width="100%" />
 
 You can analyze a dataset like this: