From 0add5be3e729a0c1f82a47fa24847996ed668035 Mon Sep 17 00:00:00 2001 From: Nick Rivera <35855731+Nick-Rivera@users.noreply.github.com> Date: Tue, 6 Mar 2018 23:26:33 -0800 Subject: [PATCH 1/3] Link fixes --- README.Rmd | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.Rmd b/README.Rmd index 5bff1ed..bf8b308 100644 --- a/README.Rmd +++ b/README.Rmd @@ -41,7 +41,7 @@ install.packages("randomizr", repos="http://r.declaredesign.org") ### Getting started with randomizr for R -**randomizr** has five main random assignment functions, corresponding to the common experimental designs listed above. You can read more about using each of these functions in our [reference library](http://randomizr.declaredesign.org/reference/index.html) or by clicking on the function names: `simple_ra()`, `complete_ra()`, `block_ra()`, `cluster_ra()`, and `block_and_cluster_ra()`. +**randomizr** has five main random assignment functions, corresponding to the common experimental designs listed above. You can read more about using each of these functions in our [reference library](/R/randomizr/reference/) or by clicking on the function names: `simple_ra()`, `complete_ra()`, `block_ra()`, `cluster_ra()`, and `block_and_cluster_ra()`. `complete_ra()` (Complete randomization) is the function that will be most appropriate for a large number of experimental situations: when you want to assign a fixed `m` units out of a population of `N` units to treatment: @@ -71,7 +71,7 @@ table(Z, clust_var) knitr::kable(table(Z, clust_var)) ``` -For more information about all of **randomizr**'s functionality, please see our [online tutorial](http://randomizr.declaredesign.org/articles/randomizr_vignette.html) +For more information about all of **randomizr**'s functionality, please see our [online tutorial](/R/randomizr/articles/randomizr_vignette.html) ## randomizr for Stata @@ -97,7 +97,7 @@ set obs 100 complete_ra, m(50) ``` -A Stata version of our [online tutorial](http://randomizr.declaredesign.org/articles/srandomizr_vignette.html) is also available. +A Stata version of our [online tutorial](/R/randomizr/articles/srandomizr_vignette.html) is also available. Happy randomizing! From b2ae07a8b9d58170fd36933d1b5e86a935598821 Mon Sep 17 00:00:00 2001 From: Nick Rivera <35855731+Nick-Rivera@users.noreply.github.com> Date: Wed, 7 Mar 2018 13:27:06 -0800 Subject: [PATCH 2/3] Full links for README files --- README.Rmd | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.Rmd b/README.Rmd index bf8b308..5f360df 100644 --- a/README.Rmd +++ b/README.Rmd @@ -41,7 +41,7 @@ install.packages("randomizr", repos="http://r.declaredesign.org") ### Getting started with randomizr for R -**randomizr** has five main random assignment functions, corresponding to the common experimental designs listed above. You can read more about using each of these functions in our [reference library](/R/randomizr/reference/) or by clicking on the function names: `simple_ra()`, `complete_ra()`, `block_ra()`, `cluster_ra()`, and `block_and_cluster_ra()`. +**randomizr** has five main random assignment functions, corresponding to the common experimental designs listed above. You can read more about using each of these functions in our [reference library](http://declaredesign.org/R/randomizr/reference/) or by clicking on the function names: `simple_ra()`, `complete_ra()`, `block_ra()`, `cluster_ra()`, and `block_and_cluster_ra()`. `complete_ra()` (Complete randomization) is the function that will be most appropriate for a large number of experimental situations: when you want to assign a fixed `m` units out of a population of `N` units to treatment: @@ -71,7 +71,7 @@ table(Z, clust_var) knitr::kable(table(Z, clust_var)) ``` -For more information about all of **randomizr**'s functionality, please see our [online tutorial](/R/randomizr/articles/randomizr_vignette.html) +For more information about all of **randomizr**'s functionality, please see our [online tutorial](http://declaredesign.org/R/randomizr/articles/randomizr_vignette.html) ## randomizr for Stata @@ -97,7 +97,7 @@ set obs 100 complete_ra, m(50) ``` -A Stata version of our [online tutorial](/R/randomizr/articles/srandomizr_vignette.html) is also available. +A Stata version of our [online tutorial](http://declaredesign.org/R/randomizr/articles/srandomizr_vignette.html) is also available. Happy randomizing! From 4ac0b1fa373412f82368f5bcdd53904fadb1ba22 Mon Sep 17 00:00:00 2001 From: Nick Rivera <35855731+Nick-Rivera@users.noreply.github.com> Date: Tue, 13 Mar 2018 10:02:48 -0700 Subject: [PATCH 3/3] Move to HTTPS links --- README.Rmd | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.Rmd b/README.Rmd index 5f360df..0d62312 100644 --- a/README.Rmd +++ b/README.Rmd @@ -41,7 +41,7 @@ install.packages("randomizr", repos="http://r.declaredesign.org") ### Getting started with randomizr for R -**randomizr** has five main random assignment functions, corresponding to the common experimental designs listed above. You can read more about using each of these functions in our [reference library](http://declaredesign.org/R/randomizr/reference/) or by clicking on the function names: `simple_ra()`, `complete_ra()`, `block_ra()`, `cluster_ra()`, and `block_and_cluster_ra()`. +**randomizr** has five main random assignment functions, corresponding to the common experimental designs listed above. You can read more about using each of these functions in our [reference library](https://declaredesign.org/R/randomizr/reference/) or by clicking on the function names: `simple_ra()`, `complete_ra()`, `block_ra()`, `cluster_ra()`, and `block_and_cluster_ra()`. `complete_ra()` (Complete randomization) is the function that will be most appropriate for a large number of experimental situations: when you want to assign a fixed `m` units out of a population of `N` units to treatment: @@ -71,7 +71,7 @@ table(Z, clust_var) knitr::kable(table(Z, clust_var)) ``` -For more information about all of **randomizr**'s functionality, please see our [online tutorial](http://declaredesign.org/R/randomizr/articles/randomizr_vignette.html) +For more information about all of **randomizr**'s functionality, please see our [online tutorial](https://declaredesign.org/R/randomizr/articles/randomizr_vignette.html) ## randomizr for Stata @@ -97,7 +97,7 @@ set obs 100 complete_ra, m(50) ``` -A Stata version of our [online tutorial](http://declaredesign.org/R/randomizr/articles/srandomizr_vignette.html) is also available. +A Stata version of our [online tutorial](https://declaredesign.org/R/randomizr/articles/srandomizr_vignette.html) is also available. Happy randomizing!