Convert http urls to https

README.Rmd

@@ -16,7 +16,7 @@ knitr::opts_chunk$set(
 options(tibble.print_min = 3)
 ```
 
-# 🏎💨vroom <a href='http:/vroom.r-lib.org'><img src='man/figures/logo.png' align="right" height="135" /></a>
+# 🏎💨vroom <a href='https:/vroom.r-lib.org'><img src='man/figures/logo.png' align="right" height="135" /></a>
 
 <!-- badges: start -->
 [![R build status](https://github.com/r-lib/vroom/workflows/R-CMD-check/badge.svg)](https://github.com/r-lib/vroom)
@@ -51,7 +51,7 @@ The fastest delimited reader for R, **`r filter(tbl, package == "vroom") %>% pul
 
 <img src="https://github.com/r-lib/vroom/raw/gh-pages/taylor.gif" align="right" width = "30%"/>
 
-But that's impossible! How can it be [so fast](http://vroom.r-lib.org/articles/benchmarks.html)?
+But that's impossible! How can it be [so fast](https://vroom.r-lib.org/articles/benchmarks.html)?
 
 vroom doesn't stop to actually _read_ all of your data, it simply indexes where each record is located so it can be read later.
 The vectors returned use the [Altrep framework](https://svn.r-project.org/R/branches/ALTREP/ALTREP.html) to lazily load the data on-demand when it is accessed, so you only pay for what you use.
@@ -85,7 +85,7 @@ vroom has nearly all of the parsing features of
 - embedded newlines in headers and fields\*\*
 - writing delimited files with as-needed quoting.
 - robust to invalid inputs (vroom has been extensively tested with the
-  [afl](http://lcamtuf.coredump.cx/afl/) fuzz tester)\*.
+  [afl](https://lcamtuf.coredump.cx/afl/) fuzz tester)\*.
 
 \* *these are additional features not in readr.*
 
@@ -166,9 +166,9 @@ fs::file_delete(files)
 ## Benchmarks
 
 The speed quoted above is from a real `r format(fs::fs_bytes(tm$size[[1]]))` dataset with `r format(tm$rows[[1]], big.mark = ",")` rows and `r tm$cols[[1]]` columns,
-see the [benchmark article](http://vroom.r-lib.org/articles/benchmarks.html)
+see the [benchmark article](https://vroom.r-lib.org/articles/benchmarks.html)
 for full details of the dataset and
-[bench/](https://github.com/r-lib/vroom/blob/master/inst/bench) for the code
+[bench/](https://github.com/r-lib/vroom/tree/master/inst/bench) for the code
 used to retrieve the data and perform the benchmarks.
 
 # Environment variables
@@ -224,7 +224,7 @@ so it is recommended you use at least that version.
 ## Thanks
 
 - [Gabe Becker](https://twitter.com/groundwalkergmb), [Luke
-  Tierney](http://homepage.divms.uiowa.edu/~luke/) and [Tomas Kalibera](https://github.com/kalibera) for
+  Tierney](https://homepage.divms.uiowa.edu/~luke/) and [Tomas Kalibera](https://github.com/kalibera) for
   conceiving, Implementing and maintaining the [Altrep
   framework](https://svn.r-project.org/R/branches/ALTREP/ALTREP.html)
 - [Romain François](https://twitter.com/romain_francois), whose

README.md

@@ -1,7 +1,7 @@
 
 <!-- README.md is generated from README.Rmd. Please edit that file -->
 
-# 🏎💨vroom <a href='http:/vroom.r-lib.org'><img src='man/figures/logo.png' align="right" height="135" /></a>
+# 🏎💨vroom <a href='https:/vroom.r-lib.org'><img src='man/figures/logo.png' align="right" height="135" /></a>
 
 <!-- badges: start -->
 
@@ -22,7 +22,7 @@ The fastest delimited reader for R, **1.48 GB/sec**.
 <img src="https://github.com/r-lib/vroom/raw/gh-pages/taylor.gif" align="right" width = "30%"/>
 
 But that’s impossible\! How can it be [so
-fast](http://vroom.r-lib.org/articles/benchmarks.html)?
+fast](https://vroom.r-lib.org/articles/benchmarks.html)?
 
 vroom doesn’t stop to actually *read* all of your data, it simply
 indexes where each record is located so it can be read later. The
@@ -37,7 +37,7 @@ non-character columns, and when writing to further improve performance.
 
 | package    | version | time (sec) | speedup |    throughput |
 | :--------- | ------: | ---------: | ------: | ------------: |
-| vroom      |   1.2.2 |       1.11 |   67.13 |   1.48 GB/sec |
+| vroom      |   1.3.0 |       1.11 |   67.13 |   1.48 GB/sec |
 | data.table |  1.13.0 |      13.12 |    5.67 | 125.19 MB/sec |
 | readr      |   1.3.1 |      32.57 |    2.28 |  50.41 MB/sec |
 | read.delim |   4.0.2 |      74.37 |    1.00 |  22.08 MB/sec |
@@ -66,7 +66,7 @@ files, including
   - embedded newlines in headers and fields\*\*
   - writing delimited files with as-needed quoting.
   - robust to invalid inputs (vroom has been extensively tested with the
-    [afl](http://lcamtuf.coredump.cx/afl/) fuzz tester)\*.
+    [afl](https://lcamtuf.coredump.cx/afl/) fuzz tester)\*.
 
 \* *these are additional features not in readr.*
 
@@ -172,9 +172,9 @@ vroom::vroom(files)
 
 The speed quoted above is from a real 1.53G dataset with 14,388,451 rows
 and 11 columns, see the [benchmark
-article](http://vroom.r-lib.org/articles/benchmarks.html) for full
+article](https://vroom.r-lib.org/articles/benchmarks.html) for full
 details of the dataset and
-[bench/](https://github.com/r-lib/vroom/blob/master/inst/bench) for the
+[bench/](https://github.com/r-lib/vroom/tree/master/inst/bench) for the
 code used to retrieve the data and perform the benchmarks.
 
 # Environment variables
@@ -233,7 +233,7 @@ issue, so it is recommended you use at least that version.
 ## Thanks
 
   - [Gabe Becker](https://twitter.com/groundwalkergmb), [Luke
-    Tierney](http://homepage.divms.uiowa.edu/~luke/) and [Tomas
+    Tierney](https://homepage.divms.uiowa.edu/~luke/) and [Tomas
     Kalibera](https://github.com/kalibera) for conceiving, Implementing
     and maintaining the [Altrep
     framework](https://svn.r-project.org/R/branches/ALTREP/ALTREP.html)

_pkgdown.yml

@@ -2,7 +2,7 @@ url: https://vroom.r-lib.org
 
 authors:
   "Jim Hester":
-    href: http://jimhester.com
+    href: https://jimhester.com
 
 destination: docs
 

vignettes/benchmarks.Rmd

@@ -164,7 +164,7 @@ excluded from the plots, but are retained in the tables.
 
 This real world dataset is from Freedom of Information Law (FOIL)
 Taxi Trip Data from the NYC Taxi and Limousine Commission 2013, originally
-posted at <http://chriswhong.com/open-data/foil_nyc_taxi/>. It is also hosted
+posted at <https://chriswhong.com/open-data/foil_nyc_taxi/>. It is also hosted
 on [archive.org](https://archive.org/details/nycTaxiTripData2013).
 
 The first table trip_fare_1.csv is 1.55G in size.