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<blockquote data-quote="YukonGlocker" data-source="post: 2960276" data-attributes="member: 425"><p>In case you want to try something like R:</p><p></p><p>I've been using R since 2010, but use other softwares as well. I also teach stats using R and other softwares. How you learn it will partly (largely) depend on who you're learning from.</p><p></p><p>Some people recommend not using any type of GUI (e.g., <a href="https://l.facebook.com/l.php?u=http%3A%2F%2Fwww.rcommander.com%2F&h=ATN3NlScnVfxI8I4rVUF94AQNbZHovhIZskvboqf3acMNCZuByXtAf6CVoASuJoRfstQX1WD8zPvAjM-RMkSysi9M04h54jaTWcW8OXHKPmMLDZ7QoE4zLYCCouPU5MKBlGlFC9goQ" target="_blank">http://www.rcommander.com/</a>) for learning, but instead recommend doing everything in the terminal first. I don't totally agree with that. But one thing I strongly recommend (even for starting out) is <a href="https://l.facebook.com/l.php?u=https%3A%2F%2Fwww.rstudio.com%2F&h=ATPNmpwyNVSTIjKC81S07dHi4Q--Afb8eCWGueK0GJcCXBuExWpqpbr2ceHy3aGqKFlxSm-kZtV_rt6HVvcB6mukbDKsVJzDaZ0NoQnSyDN6SL6T545bSwjnyP9g2V6GTl-USuSLew" target="_blank">https://www.rstudio.com/</a> ...where you have the terminal in addition to many handy helpers.</p><p></p><p>As for resources, most published books on R are a waste of time and money because everything you need is available online (and more frequently updated). One handy (and good) site with simple code for basic and some advanced material is <a href="https://l.facebook.com/l.php?u=http%3A%2F%2Fwww.statmethods.net%2F&h=ATM2NAqobFcNczRqkgeHAT6wSMUCJnv4c_3hfiCjoiFS1mWPPaHIkOsFO9lQ41VUQWHqViPpotTXExhDDjUqb594iLMM7QYcKCGAmlFPGignzwNuhXyyJDxI42QII5PI42V04p0qUA" target="_blank">http://www.statmethods.net/</a>. The following site has more explanation and more about general programming (but still mostly focused on stats): <a href="https://l.facebook.com/l.php?u=http%3A%2F%2Fswcarpentry.github.io%2Fr-novice-gapminder%2F&h=ATM99VP_sx7Dpv-bWrXDHGPs0fkAuPUzVCF3yz0ZjNxJyIuRGCchBza5eYivvrizknk2eISfr_A5KIfVLakl8gkAkg_GYKvp5iv7GP1Wx1Q0WjSLy2TlL0c2b4q4X7CdRmHZTpOUxw" target="_blank">http://swcarpentry.github.io/r-novice-gapminder/</a>.</p><p></p><p>Also, the pdf documents that accompany R packages are often *very* valuable. Many people that have created packages for R include so much good information in those PDFs. Here's an example, but most all the R packages have these: <a href="https://l.facebook.com/l.php?u=https%3A%2F%2Fcran.r-project.org%2Fweb%2Fpackages%2Fpsych%2Fpsych.pdf&h=ATOv2z_mIAxmFixtx-ssAZbhE93ZzrJ7y6IcG_nuxYVMJyE9-miuyvqM9ltISVBM-kNth6c5zq-WoGFpXf0Ht4hnZtiHz7_shdLzpwpEUiWSgU4C_uqzelnMEDEX9JWpGIMTG8q8BA" target="_blank">https://cran.r-project.org/web/packages/psych/psych.pdf</a>.</p><p></p><p>If a more structured course fits you best, there are some great ones in places like <a href="https://www.coursera.org/" target="_blank">https://www.coursera.org/</a> (many of them for free).</p><p></p><p>Holler if you have any questions!</p></blockquote><p></p>
[QUOTE="YukonGlocker, post: 2960276, member: 425"] In case you want to try something like R: I've been using R since 2010, but use other softwares as well. I also teach stats using R and other softwares. How you learn it will partly (largely) depend on who you're learning from. Some people recommend not using any type of GUI (e.g., [URL='https://l.facebook.com/l.php?u=http%3A%2F%2Fwww.rcommander.com%2F&h=ATN3NlScnVfxI8I4rVUF94AQNbZHovhIZskvboqf3acMNCZuByXtAf6CVoASuJoRfstQX1WD8zPvAjM-RMkSysi9M04h54jaTWcW8OXHKPmMLDZ7QoE4zLYCCouPU5MKBlGlFC9goQ']http://www.rcommander.com/[/URL]) for learning, but instead recommend doing everything in the terminal first. I don't totally agree with that. But one thing I strongly recommend (even for starting out) is [URL='https://l.facebook.com/l.php?u=https%3A%2F%2Fwww.rstudio.com%2F&h=ATPNmpwyNVSTIjKC81S07dHi4Q--Afb8eCWGueK0GJcCXBuExWpqpbr2ceHy3aGqKFlxSm-kZtV_rt6HVvcB6mukbDKsVJzDaZ0NoQnSyDN6SL6T545bSwjnyP9g2V6GTl-USuSLew']https://www.rstudio.com/[/URL] ...where you have the terminal in addition to many handy helpers. As for resources, most published books on R are a waste of time and money because everything you need is available online (and more frequently updated). One handy (and good) site with simple code for basic and some advanced material is [URL='https://l.facebook.com/l.php?u=http%3A%2F%2Fwww.statmethods.net%2F&h=ATM2NAqobFcNczRqkgeHAT6wSMUCJnv4c_3hfiCjoiFS1mWPPaHIkOsFO9lQ41VUQWHqViPpotTXExhDDjUqb594iLMM7QYcKCGAmlFPGignzwNuhXyyJDxI42QII5PI42V04p0qUA']http://www.statmethods.net/[/URL]. The following site has more explanation and more about general programming (but still mostly focused on stats): [URL='https://l.facebook.com/l.php?u=http%3A%2F%2Fswcarpentry.github.io%2Fr-novice-gapminder%2F&h=ATM99VP_sx7Dpv-bWrXDHGPs0fkAuPUzVCF3yz0ZjNxJyIuRGCchBza5eYivvrizknk2eISfr_A5KIfVLakl8gkAkg_GYKvp5iv7GP1Wx1Q0WjSLy2TlL0c2b4q4X7CdRmHZTpOUxw']http://swcarpentry.github.io/r-novice-gapminder/[/URL]. Also, the pdf documents that accompany R packages are often *very* valuable. Many people that have created packages for R include so much good information in those PDFs. Here's an example, but most all the R packages have these: [URL='https://l.facebook.com/l.php?u=https%3A%2F%2Fcran.r-project.org%2Fweb%2Fpackages%2Fpsych%2Fpsych.pdf&h=ATOv2z_mIAxmFixtx-ssAZbhE93ZzrJ7y6IcG_nuxYVMJyE9-miuyvqM9ltISVBM-kNth6c5zq-WoGFpXf0Ht4hnZtiHz7_shdLzpwpEUiWSgU4C_uqzelnMEDEX9JWpGIMTG8q8BA']https://cran.r-project.org/web/packages/psych/psych.pdf[/URL]. If a more structured course fits you best, there are some great ones in places like [URL]https://www.coursera.org/[/URL] (many of them for free). Holler if you have any questions! [/QUOTE]
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