Fix links

Author: thomasp85

DESCRIPTION

@@ -66,7 +66,7 @@ Suggests:
     vdiffr (>= 0.3.0)
 Enhances: sp
 License: MIT + file LICENSE
-URL: http://ggplot2.tidyverse.org, https://github.com/tidyverse/ggplot2
+URL: https://ggplot2.tidyverse.org, https://github.com/tidyverse/ggplot2
 BugReports: https://github.com/tidyverse/ggplot2/issues
 LazyData: true
 Collate: 

NEWS.md

@@ -681,7 +681,7 @@ accompanying issue #2890.
 ## New features
 
 * ggplot2 now works on R 3.1 onwards, and uses the 
-  [vdiffr](https://github.com/lionel-/vdiffr) package for visual testing.
+  [vdiffr](https://github.com/r-lib/vdiffr) package for visual testing.
 
 * In most cases, accidentally using `%>%` instead of `+` will generate an 
   informative error (#2400).

R/aes.r

@@ -19,7 +19,7 @@ NULL
 #' because you can name those directly. The flip side is that you have
 #' to use [quasiquotation][rlang::quasiquotation] to program with
 #' `aes()`. See a tidy evaluation tutorial such as the [dplyr
-#' programming vignette](http://dplyr.tidyverse.org/articles/programming.html)
+#' programming vignette](https://dplyr.tidyverse.org/articles/programming.html)
 #' to learn more about these techniques.
 #'
 #' @param x,y,... List of name-value pairs in the form `aesthetic = variable`

R/data.R

@@ -23,22 +23,22 @@
 #' US economic time series
 #'
 #' This dataset was produced from US economic time series data available from
-#' \url{http://research.stlouisfed.org/fred2}. `economics` is in "wide"
+#' \url{https://fred.stlouisfed.org/}. `economics` is in "wide"
 #' format, `economics_long` is in "long" format.
 #'
 #' @format A data frame with 574 rows and 6 variables:
 #' \describe{
 #'   \item{date}{Month of data collection}
 #'   \item{pce}{personal consumption expenditures, in billions of dollars,
-#'     \url{http://research.stlouisfed.org/fred2/series/PCE}}
+#'     \url{https://fred.stlouisfed.org/series/PCE}}
 #'   \item{pop}{total population, in thousands,
-#'     \url{http://research.stlouisfed.org/fred2/series/POP}}
+#'     \url{https://fred.stlouisfed.org/series/POP}}
 #'   \item{psavert}{personal savings rate,
-#'     \url{http://research.stlouisfed.org/fred2/series/PSAVERT/}}
+#'     \url{https://fred.stlouisfed.org/series/PSAVERT/}}
 #'   \item{uempmed}{median duration of unemployment, in weeks,
-#'     \url{http://research.stlouisfed.org/fred2/series/UEMPMED}}
+#'     \url{https://fred.stlouisfed.org/series/UEMPMED}}
 #'   \item{unemploy}{number of unemployed in thousands,
-#'     \url{http://research.stlouisfed.org/fred2/series/UNEMPLOY}}
+#'     \url{https://fred.stlouisfed.org/series/UNEMPLOY}}
 #' }
 #'
 "economics"
@@ -88,7 +88,7 @@
 #' Fuel economy data from 1999 to 2008 for 38 popular models of cars
 #'
 #' This dataset contains a subset of the fuel economy data that the EPA makes
-#' available on \url{http://fueleconomy.gov}. It contains only models which
+#' available on \url{https://fueleconomy.gov/}. It contains only models which
 #' had a new release every year between 1999 and 2008 - this was used as a
 #' proxy for the popularity of the car.
 #'
@@ -159,7 +159,7 @@
 #' Letters. December (2007).
 #'
 #' @format A data frame with 1155 rows and 4 variables
-#' @references \url{http://www.stat.berkeley.edu/~brill/Papers/jspifinal.pdf}
+#' @references \url{https://www.stat.berkeley.edu/~brill/Papers/jspifinal.pdf}
 "seals"
 
 #' 2d density estimate of Old Faithful data
@@ -189,7 +189,7 @@
 #' Housing sales in TX
 #'
 #' Information about the housing market in Texas provided by the TAMU
-#' real estate center, \url{http://recenter.tamu.edu/}.
+#' real estate center, \url{https://www.recenter.tamu.edu/}.
 #'
 #' @format A data frame with 8602 observations and 9 variables:
 #' \describe{

R/scale-brewer.r

@@ -3,7 +3,7 @@
 #' @description
 #' The `brewer` scales provides sequential, diverging and qualitative
 #' colour schemes from ColorBrewer. These are particularly well suited to
-#' display discrete values on a map. See \url{http://colorbrewer2.org} for
+#' display discrete values on a map. See \url{https://colorbrewer2.org} for
 #' more information.
 #'
 #' @note

R/stat-ellipse.R

@@ -5,7 +5,7 @@
 #'
 #' @references John Fox and Sanford Weisberg (2011). An \R Companion to
 #'   Applied Regression, Second Edition. Thousand Oaks CA: Sage. URL:
-#'   \url{http://socserv.socsci.mcmaster.ca/jfox/Books/Companion}
+#'   \url{https://socialsciences.mcmaster.ca/jfox/Books/Companion/}
 #' @param level The level at which to draw an ellipse,
 #'   or, if `type="euclid"`, the radius of the circle to be drawn.
 #' @param type The type of ellipse.

README.Rmd

@@ -20,7 +20,7 @@ knitr::opts_chunk$set(
 
 ## Overview
 
-ggplot2 is a system for declaratively creating graphics, based on [The Grammar of Graphics](https://amzn.to/2ef1eWp). You provide the data, tell ggplot2 how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details. 
+ggplot2 is a system for declaratively creating graphics, based on [The Grammar of Graphics][gg-book]. You provide the data, tell ggplot2 how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details. 
 
 ## Installation
 
@@ -68,19 +68,20 @@ If you are new to ggplot2 you are better off starting with a systematic introduc
     [Graphics for communication][r4ds-comm] chapters in 
     [R for Data Science][r4ds]. R for Data Science is designed to
     give you a comprehensive introduction to the
-    [tidyverse](https://tidyverse.org), and these two chapters will
+    [tidyverse](https://www.tidyverse.org), and these two chapters will
     get you up to speed with the essentials of ggplot2 as quickly as 
     possible.
 
-1.  If you'd like to take an online course, try
-    [Data Visualization in R With ggplot2][oreilly] by Kara Woo.
+1.  If you'd like to follow a webinar, try
+    [Plotting Anything with ggplot2][https://youtu.be/h29g21z0a68] by Thomas Lin 
+    Pedersen.
 
 1.  If you want to dive into making common graphics as quickly 
     as possible, I recommend [The R Graphics Cookbook][cookbook] 
     by Winston Chang. It provides a set of recipes to solve common
     graphics problems.
 
-If you've mastered the basics and want to learn more, read [ggplot2: Elegant Graphics for Data Analysis][ggplot2-book]. It describes the theoretical underpinnings of ggplot2 and shows you how all the pieces fit together. This book helps you understand the theory that underpins ggplot2, and will help you create new types of graphics specifically tailored to your needs. The book is not available for free, but you can find the complete source for the book at <https://github.com/hadley/ggplot2-book>.
+If you've mastered the basics and want to learn more, read [ggplot2: Elegant Graphics for Data Analysis][ggplot2-book]. It describes the theoretical underpinnings of ggplot2 and shows you how all the pieces fit together. This book helps you understand the theory that underpins ggplot2, and will help you create new types of graphics specifically tailored to your needs.
 
 ## Getting help
 
@@ -94,10 +95,10 @@ There are two main places to get help with ggplot2:
     created a reproducible example that illustrates your problem.
 
 [community]: https://community.rstudio.com/
-[ggplot2-book]: https://amzn.to/2fncG50
-[gg-book]: https://amzn.to/2ef1eWp
+[ggplot2-book]: https://ggplot2-book.org
+[gg-book]: https://www.amazon.com/Grammar-Graphics-Statistics-Computing/dp/0387245448/ref=as_li_ss_tl
 [so]: https://stackoverflow.com/questions/tagged/ggplot2?sort=frequent&pageSize=50
-[cookbook]: https://amzn.to/2TU78ip 
+[cookbook]: https://r-graphics.org
 [r4ds]: https://r4ds.had.co.nz
 [r4ds-vis]: https://r4ds.had.co.nz/data-visualisation.html
 [r4ds-comm]: https://r4ds.had.co.nz/graphics-for-communication.html

README.md

@@ -12,9 +12,10 @@ Status](https://img.shields.io/codecov/c/github/tidyverse/ggplot2/master.svg)](h
 ## Overview
 
 ggplot2 is a system for declaratively creating graphics, based on [The
-Grammar of Graphics](https://amzn.to/2ef1eWp). You provide the data,
-tell ggplot2 how to map variables to aesthetics, what graphical
-primitives to use, and it takes care of the details.
+Grammar of
+Graphics](https://www.amazon.com/Grammar-Graphics-Statistics-Computing/dp/0387245448/ref=as_li_ss_tl).
+You provide the data, tell ggplot2 how to map variables to aesthetics,
+what graphical primitives to use, and it takes care of the details.
 
 ## Installation
 
@@ -79,27 +80,24 @@ documentation pages. Currently, there are three good places to start:
     communication](https://r4ds.had.co.nz/graphics-for-communication.html)
     chapters in [R for Data Science](https://r4ds.had.co.nz). R for Data
     Science is designed to give you a comprehensive introduction to the
-    [tidyverse](https://tidyverse.org), and these two chapters will get
-    you up to speed with the essentials of ggplot2 as quickly as
+    [tidyverse](https://www.tidyverse.org), and these two chapters will
+    get you up to speed with the essentials of ggplot2 as quickly as
     possible.
 
-2.  If you’d like to take an online course, try [Data Visualization in R
-    With ggplot2](https://shop.oreilly.com/product/0636920052807.do) by
-    Kara Woo.
+2.  If you’d like to follow a webinar, try \[Plotting Anything with
+    ggplot2\]\[<https://youtu.be/h29g21z0a68>\] by Thomas Lin Pedersen.
 
 3.  If you want to dive into making common graphics as quickly as
     possible, I recommend [The R Graphics
-    Cookbook](https://amzn.to/2TU78ip) by Winston Chang. It provides a
+    Cookbook](https://r-graphics.org) by Winston Chang. It provides a
     set of recipes to solve common graphics problems.
 
 If you’ve mastered the basics and want to learn more, read [ggplot2:
-Elegant Graphics for Data Analysis](https://amzn.to/2fncG50). It
+Elegant Graphics for Data Analysis](https://ggplot2-book.org). It
 describes the theoretical underpinnings of ggplot2 and shows you how all
 the pieces fit together. This book helps you understand the theory that
 underpins ggplot2, and will help you create new types of graphics
-specifically tailored to your needs. The book is not available for free,
-but you can find the complete source for the book at
-<https://github.com/hadley/ggplot2-book>.
+specifically tailored to your needs.
 
 ## Getting help
 

man/aes.Rd

@@ -326,7 +326,7 @@ ggplot(mpg, aes(displ, drv, fill = stat(density))) +
 
 ## Creating a new geom
 
-It's harder to create a new geom than a new stat because you also need to know some grid. ggplot2 is built on top of grid, so you'll need to know the basics of drawing with grid. If you're serious about adding a new geom, I'd recommend buying [R graphics](http://amzn.com/B00I60M26G) by Paul Murrell. It tells you everything you need to know about drawing with grid.
+It's harder to create a new geom than a new stat because you also need to know some grid. ggplot2 is built on top of grid, so you'll need to know the basics of drawing with grid. If you're serious about adding a new geom, I'd recommend buying [R graphics](https://www.amazon.com/dp/B00I60M26G/ref=cm_sw_su_dp) by Paul Murrell. It tells you everything you need to know about drawing with grid.
 
 ### A simple geom