<html>
<head>
<meta http-equiv="content-type" content="text/html; charset=ISO-8859-1">
</head>
<body bgcolor="#FFFFFF" text="#000000">
Hi everyone, <br>
<br>
As you might be aware, we're currently partnering with ACSPRI to
deliver the Linux Australia Member Survey 2013. One of the key
reasons we chose to partner with ACSPRI was their commitment to open
source; their office is almost entirely open source, and their
training programs are centred on open source packages. They are also
key contributors to survey packages such as LimeSurvey. <br>
<br>
To that end, I'd like to make you aware of some of the upcoming
training courses from ACSPRI on the R statistical and visualisation
language, which is often used by academics and researchers. <br>
<a class="moz-txt-link-freetext" href="http://www.r-project.org/">http://www.r-project.org/</a><br>
<br>
<p class="title"><b>Introduction to R, to R Graphics, and to
Reproducible Reporting with R</b><br>
<a class="moz-txt-link-freetext" href="https://www.acspri.org.au/node/1129">https://www.acspri.org.au/node/1129</a><br>
</p>
<p>This course is intended for data analysts and early career
researchers aiming to establish a solid foundation for lifelong
skill development. The emphasis of the course is on gaining or
extending familiarity with R, on the use of R for simple types of
statistical analysis and graphical display, on project management,
and on the use of RStudio’s abilities for reproducible recording
and reporting of what has been achieved.</p>
R is the leading tool for statistics, data analysis, machine
learning and statistical graphics. It is supported by an active
community of thousands of developers and contributors, and more than
2 million users. It has become the environment of choice for the
implementation of new techniques, with over 2000 modules -- with
more added every day -- covering the methods of every discipline
from anthropology to zoology. Its powerful and innovative graphics
abilities are an especial attraction.<br>
<br>
<p class="title"><b>Data Analysis, Graphics and Visualisation Using
R</b><br>
<a class="moz-txt-link-freetext" href="https://www.acspri.org.au/node/1043">https://www.acspri.org.au/node/1043</a><br>
</p>
<p>This course is intended for data analysts and quantitative
methods lecturers who currently use proprietary data analysis
software (eg SPSS, SAS or Stata), and early career researchers
aiming to establish a solid foundation for lifelong skill
development. The emphasis of the course is on hands-on analysis,
graphical display, and interpretation of data. An important aim
is to give a strong sense of the new vistas, especially in data
visualization, to which R gives access.</p>
<p>R is the leading tool for statistics, data analysis, machine
learning and statistical graphics. It is supported by an active
community of thousands of developers and contributors, and more
than 2 million users. It has become the environment of choice for
the implementation of new techniques, with over 2000 modules --
with more added every day -- covering the methods of every
discipline from anthropology to zoology. The powerful and
innovative graphics abilities available in R include the provision
of well-designed publication-quality plots that can include
mathematical symbols and formulae.</p>
Further information from <a class="moz-txt-link-abbreviated" href="mailto:info@acspri.org.au">info@acspri.org.au</a><br>
<br>
Kind regards,<br>
Kathy<br>
<br>
<pre class="moz-signature" cols="72">--
Kathy Reid
Secretary
Linux Australia
<a class="moz-txt-link-abbreviated" href="mailto:secretary@linux.org.au">secretary@linux.org.au</a>
<a class="moz-txt-link-freetext" href="http://linux.org.au">http://linux.org.au</a>
Linux Australia Inc
GPO Box 4788
Sydney NSW 2001
Australia
ABN 56 987 117 479
</pre>
</body>
</html>