Connection Instructions

1.  How to access the virtual environment (Citrix) for
access to  SPSS, Stata, SAS, R,
and other software applications using your web browser  at https://myapps.wesleyan.edu.  That is all you may need

If you want o install the Citrix workspace here is the information from ITS.

·         For Machttps://wesleyanedu.service-now.com/kb_view.do?sys_kb_id=33a2dc661bd268901807da49cc4bcbb1

·         For Windowshttps://wesleyanedu.service-now.com/kb_view.do?sys_kb_id=4e23d4e61bd268901807da49cc4bcb03

If you run into any problems accessing the system you can open a support ticket at https://service.wesleyan.edu or contact the ITS help desk. They can assist with troubleshooting your access (https://wesleyanedu.service-now.com/sp?id=offering&sys_id=1188044f6fb0d100e5f95afc5d3ee481). See also other ITS support resources at https://wesleyanedu.service-now.com/sp?id=service_offerings&sysparm_parent=1b6fdf4cdbbc5f40034efd931d961908

·         NOTES:

2. How to access the dragon directories: This is where we have some shared directories (folders) for the course (\\dragon\courses\) You can access the directories via the virtual desktop at https://myapps.wesleyan.edu (no VPN required)

if you want to mount a volume (mac) or map a network drive (windows) you will need to establish a VPN connect first. See instructions on how to connect from your computer at: https://wesleyanedu.service-now.com/sp?id=kb_article&sys_id=e91c28691b5ea0901807da49cc4bcbac

Access to statistical computing software

(note: all software from myapps.wes   “see” the dragon directories )

SAS  — via https://myapps.wesleyan.edu

SPSS  — via https://myapps.wesleyan.edu

STATA  — via https://myapps.wesleyan.edu

R/RStudio

We can access it

1) at https://myapps.wesleyan.edu or

2) download and install it on your computer.

Step1: download and Install R
R is a freely distributed language. Go to the R project’s page: http://cran.r-project.org/  and download and install the version for your machine.

Step 2: download and install RStudio
R Studio is an Integrated Development Environment – a package that “sits” on top of R and makes code writing and debugging easier. You should install R Studio after you install R. Go to http://www.rstudio.com/products/rstudio/download  and download the version for your machine.