readying for 0.2.0 release to CRAN

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: ggjoy
 Type: Package
 Title: Joyplots in 'ggplot2'
-Version: 0.1.0.9990
+Version: 0.2.0
 Authors@R: c( 
     person("Claus O.", "Wilke", , "[email protected]", c("cre", "aut")),
     person("RStudio", role = c("cph")))

cran-comments.md

@@ -1,13 +1,11 @@
-This is the second try to submit a new package ggjoy, which provides new geoms for ggplot2.
+This is a minor version increase for ggjoy, providing numerous improvements and new features.
 
-I received two requests for changes in response to the first try:
-
-> Please single quote ggplot2.
-Done.
+I received the following request at a previous submission:
 
 > Can you provide a reference for joyplot in the form 
 > Authors (year) <DOI:.....> (with no space after 'DOI:')?
-No, no such reference exists at this time. I only have the code on github.
+
+Answer: No, no such reference exists at this time. I only have the code on github.
 
 ## Test environments
 * R devel and R 3.4.1 on win-builder [ via devtools::build_win() ]
@@ -23,5 +21,5 @@ Possibly mis-spelled words in DESCRIPTION:
 The spelling is correct.
 
 ## Downstream dependencies
-None, this is a first-time submission.
+None at this time.
 

inst/doc/gallery.R

@@ -25,14 +25,15 @@ library(forcats)
 Catalan_elections %>%
   mutate(Alt = (as.numeric(as.factor(Year))-1) %% 2 + 1) %>%
   ggplot(aes(y = as.factor(Year) %>% fct_rev())) +
-  geom_joy(aes(x = Percent, fill = paste(Option, Alt)), alpha = .8, color = "white") +
+  geom_joy(aes(x = Percent, fill = paste(Option, Alt)), 
+           alpha = .8, color = "white", from = 0, to = 100) +
   labs(x = "Vote (%)",
        y = "Election Year",
        title = "Indy vs Unionist vote in Catalan elections",
        subtitle = "Analysis unit: municipalities (n = 949)",
        caption = "Marc Belzunces (@marcbeldata) | Source: Idescat") +
   scale_y_discrete(expand = c(0.01, 0)) +
-  scale_x_continuous(limits = c(0, 100), expand = c(0.01, 0)) +
+  scale_x_continuous(expand = c(0.01, 0)) +
   scale_fill_manual(breaks = c("Indy 1", "Unionist 1"),
                     labels = c(`Indy 1` = "Indy", `Unionist 1` = "Unionist"),
                     values = c("#ff0000", "#ff8080", "#0000ff", "#8080ff"),

inst/doc/gallery.Rmd

@@ -45,14 +45,15 @@ library(forcats)
 Catalan_elections %>%
   mutate(Alt = (as.numeric(as.factor(Year))-1) %% 2 + 1) %>%
   ggplot(aes(y = as.factor(Year) %>% fct_rev())) +
-  geom_joy(aes(x = Percent, fill = paste(Option, Alt)), alpha = .8, color = "white") +
+  geom_joy(aes(x = Percent, fill = paste(Option, Alt)), 
+           alpha = .8, color = "white", from = 0, to = 100) +
   labs(x = "Vote (%)",
        y = "Election Year",
        title = "Indy vs Unionist vote in Catalan elections",
        subtitle = "Analysis unit: municipalities (n = 949)",
        caption = "Marc Belzunces (@marcbeldata) | Source: Idescat") +
   scale_y_discrete(expand = c(0.01, 0)) +
-  scale_x_continuous(limits = c(0, 100), expand = c(0.01, 0)) +
+  scale_x_continuous(expand = c(0.01, 0)) +
   scale_fill_manual(breaks = c("Indy 1", "Unionist 1"),
                     labels = c(`Indy 1` = "Indy", `Unionist 1` = "Unionist"),
                     values = c("#ff0000", "#ff8080", "#0000ff", "#8080ff"),

inst/doc/introduction.R

@@ -70,6 +70,13 @@ ggplot(iris, aes(x = Sepal.Length, y = Species)) +
   scale_x_continuous(expand = c(0.01, 0)) +
   scale_y_discrete(expand = c(0.01, 0))
 
+## ----message=FALSE-------------------------------------------------------
+ ggplot(iris, aes(x = Sepal.Length, y = Species)) + 
+   geom_joy() + 
+   theme_minimal(base_size = 14) + theme(axis.text.y = element_text(vjust = 0)) +
+   scale_x_continuous(expand = c(0.01, 0)) +
+   scale_y_discrete(expand = c(0.01, 0))
+
 ## ----message=FALSE-------------------------------------------------------
 ggplot(iris, aes(x = Sepal.Length, y = Species, height = ..density..)) + 
   geom_joy(stat = "density")

inst/doc/introduction.Rmd

@@ -103,9 +103,9 @@ ggplot(iris, aes(x = Sepal.Length, y = Species)) +
 ```
 
 
-## Theme
+## Themes
 
-Joyplots tend to require some theme modifications to look good. Most importantly, the y-axis labels should be vertically aligned so that they are flush with the axis ticks rather than vertically centered. The ggjoy package provides a theme `theme_joy` that does this and a few other theme modifications.
+Joyplots tend to require some theme modifications to look good. Most importantly, the y-axis tick labels should be vertically aligned so that they are flush with the axis ticks rather than vertically centered. The ggjoy package provides a theme `theme_joy` that does this and a few other theme modifications.
 
 ```{r message=FALSE}
 ggplot(iris, aes(x = Sepal.Length, y = Species)) + geom_joy() + theme_joy()
@@ -128,6 +128,16 @@ ggplot(iris, aes(x = Sepal.Length, y = Species)) +
   scale_y_discrete(expand = c(0.01, 0))
 ```
 
+If you prefer to use a different theme than `theme_joy`, for example `theme_minimal`, it is still advisable to adjust the alignment of the axis tick labels and the axis scales.
+```{r message=FALSE}
+ ggplot(iris, aes(x = Sepal.Length, y = Species)) + 
+   geom_joy() + 
+   theme_minimal(base_size = 14) + theme(axis.text.y = element_text(vjust = 0)) +
+   scale_x_continuous(expand = c(0.01, 0)) +
+   scale_y_discrete(expand = c(0.01, 0))
+```
+
+
 ## Stats
 
 The default stat used with `geom_joy` is `stat_joy`. However, it may not do exactly what you want it to do, and there are other stats that can be used that may be better for your respective application.