docs: elaborate on installation and add info about tests

README.md

@@ -11,13 +11,15 @@ efficiently inverstigating uncertainties associated with physics-based models
 Python-related dependencies are automatically taken care of. It should be noted
 that some modules of `PSimPy` rely on / take advantage of non-Python package and
 software. More specifically, the emulator module `robustgasp.py` relies on the R
-package `RobustGaSP`; the simulator module `ravaflow.py` relies on the open
+package `RobustGaSP`; the simulator module `ravaflow24.py` relies on the open
 source software `r.avaflow 2.4`. If you want to use these modules or any other
 modules relying on these modules, corresponding non-Python dependencies need to
 be installed.
 
-You can find how to install `r.avaflow 2.4` following its official documentation
-under https://www.landslidemodels.org/r.avaflow/.
+If the simulator module `ravaflow.py` is desired, you may follow the official
+documentation of `r.avaflow 2.4` under https://www.landslidemodels.org/r.avaflow/
+to install it. The installation of the R package `RobustGaSP` is covered in
+following steps.
 
 We recommond you to install `PSimPy` in a virtual environment such as a `conda`
 environment. You may want to first install `Anaconda` or `Miniconda` if you
@@ -29,9 +31,9 @@ haven't. The steps afterwards are as follows:
 conda create --name your_env_name python=3.9
 ```
 
-2. Install `R` if you don't have it on your machine
-(if you have `R`, you can skip this step; alternatively, you can follow this step
-to install `R` in the conda environment):
+2. Install `R` if you don't have it on your machine (if you have `R`, you can
+skip this step; alternatively, you can still follow this step to install `R` in
+the conda environment):
 ```bash
 conda activate your_env_name
 conda install -c conda-forge r-base=3.6
@@ -41,22 +43,33 @@ conda install -c conda-forge r-base=3.6
 ```bash
 R
 install.packages("RobustGaSP",repos="https://cran.r-project.org",version="0.6.4")
-q()
+```
+Try if it is successfully installed by
+```bash
+library("RobustGaSP")
 ```
 
 4. Configure the environment variable `R_HOME` so that `rpy2` knows where to find
-`R` packages. You can find the value of your `R_HOME` by typing the following
-command in the R terminal:
+`R` packages. You can find your `R_HOME` by typing the following command in the
+R terminal:
 ```bash
 R.home()
+q()
 ```
-Then set `R_HOME` in your conda environment by
+It is a path like ".../lib/R". Set the environment variable `R_HOME` in your
+conda environment by
 ```bash
-conda env config vars set R_HOME=your_R_HOME_value
+conda env config vars set R_HOME=your_R_HOME
+```
+Afterwards reactivate your conda environment to make the change take effect by
+```bash
+conda deactivate
+conda activate your_env_name
 ```
 
 5. Install `PSimPy` using `pip` in your conda environment by
 ```bash
+conda install -c conda-forge pip
 pip install psimpy
 ```
 
@@ -66,10 +79,34 @@ Now you should have `PSimPy` and its dependencies successfully installed.
 Examples are currently in preparation and will be available soon in coming
 versions. You may want to have a look at the tests which are currently available
 at https://git-ce.rwth-aachen.de/mbd/psimpy. They give a glimpse of how `PSimpy`
-can be used.
+can be used. You may download the `tests` folder onto your local machine, and run
+any test using `pytest`. 
+
+First install `pytest` by
+```bash
+conda activate your_env_name
+conda install pytest
+```
+Then navigate to the folder where `tests` folder is located on your machine.
+You may run all the tests by
+```bash
+pytest tests/
+```
+or a specific test like `test_active_learning` by
+```bash
+pytest tests/test_active_learning.py
+```
+Some tests save results including plots into temporary folders. The temporary
+folders will be deleted automatically if `test_clear_temp_file` is called. If
+you want to exclude a specific test such as `test_clear_temp_file`, you may run
+```bash
+pytest tests/ --ignore=tests/test_clear_temp_file.py
+```
 
 ## Documentation
-Documentation is currently in preparation and will be available soon.
+The source codes of `PSimPy` contains detailed docstrings which explain how it
+can be used. More documentation about the theories is currently in preparation
+and will be available soon.
 
 ## License