change markdown to rst

1 files changed, 22 insertions, 35 deletions

diff --git a/README.md b/README.rst
index 10a0de3..bfcf1fe 100644
--- a/README.md
+++ b/README.rst
@@ -1,10 +1,10 @@
+=======
 SyncRNG
 =======
 A synchronized Tausworthe RNG usable in R and Python.
 
-
 Why?
-----
+====
 
 This program was created because it was desired to have the same random 
 numbers in both R and Python programs. Although both languages implement a 
@@ -16,56 +16,42 @@ and Python. Since both use the same underlying C code, the random numbers will
 be the same in both languages, provided the same seed is used.
 
 How
----
+===
 
 First install the packages as stated under Installation. Then, in Python you 
-can do:
+can do::
 
-```python
-from SyncRNG import SyncRNG
+    from SyncRNG import SyncRNG
 
-s = SyncRNG(seed=123456)
-for i in range(10):
-  print(s.randi())
-```
+    s = SyncRNG(seed=123456)
+    for i in range(10):
+      print(s.randi())
 
-Similarly, after installing the R library you can do in R:
+Similarly, after installing the R library you can do in R::
 
-```R
-library(SyncRNG)
+    library(SyncRNG)
 
-s <- SyncRNG(seed=123456)
-for (i in 1:10) {
-	cat(s$randi(), '\n')
-}
-```
+    s <- SyncRNG(seed=123456)
+    for (i in 1:10) {
+       cat(s$randi(), '\n')
+    }
 
 You'll notice that the random numbers are indeed the same.
 
 Installation
-------------
+============
 
-Installing the R package can be done through devtools:
+Installing the R package can be done through CRAN::
 
-```R
-library(devtools)
-devtools::install_github("GjjvdBurg/SyncRNG")
-```
+    install.packages('SyncRNG')
 
-To install SyncRNG as a Python module, first clone the repository. The Python 
-module can then be installed locally for the user using:
+The Python package can be installed using pip::
 
-```sh
-python setup.py install --user
-```
-or system-wide through:
+    pip install syncrng
 
-```sh
-sudo python setup.py install
-```
 
 Usage
------
+=====
 
 In both R and Python the following methods are available for the `SyncRNG` 
 class:
@@ -77,7 +63,8 @@ class:
 4. `shuffle(x)`: generate a permutation of a given list of numbers `x`.
 
 Notes
------
+=====
 
 The random numbers are uniformly distributed on `[0, 2^32 - 1]`.
 
+