{"id":885,"date":"2017-06-20T12:51:59","date_gmt":"2017-06-20T16:51:59","guid":{"rendered":"https:\/\/sciences.ucf.edu\/biology\/d4lab\/?page_id=885"},"modified":"2017-06-20T12:51:59","modified_gmt":"2017-06-20T16:51:59","slug":"old-methods","status":"publish","type":"page","link":"https:\/\/sciences.ucf.edu\/biology\/d4lab\/old-methods\/","title":{"rendered":"Old Methods"},"content":{"rendered":"
\n

<\/h1>\n<\/header>\n
\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n
Topic<\/span><\/div>\n<\/td>\n
\n
PDFs<\/div>\n<\/td>\n
\n
Data & Scripts<\/div>\n<\/td>\n
\n
\n

Exercises<\/p>\n<\/div>\n<\/td>\n

<\/td>\n<\/tr>\n
Introduction<\/span><\/td>\n\n

\"pdf\"<\/a><\/span> Syllabus <\/span><\/span>(August, 2013)<\/span><\/span><\/p>\n<\/td>\n

<\/td>\n<\/td>\n\"paella\"<\/a><\/td>\n<\/tr>\n
\"Rlogo\"<\/td>\n<\/td>\n<\/td>\n\n

http:\/\/cran.r-project.org\/doc\/manuals\/R-intro.pdf<\/a><\/p>\n<\/td>\n

\"hw\"<\/a><\/p>\n

Instructions for exercises<\/p>\n<\/td>\n<\/tr>\n

\n

Introduction to Probability<\/p>\n<\/td>\n

<\/td>\n<\/td>\n\n

\"pdf\"<\/a><\/span> Exercise 1a<\/span><\/span><\/p>\n<\/td>\n

<\/td>\n<\/tr>\n
Random variables and Probability distributions<\/span><\/td>\n\n<\/td>\n\n

\"pdf\"<\/span> Exercise 1b<\/span><\/p>\n<\/td>\n

\"ht\"<\/a><\/td>\n<\/tr>\n
Managing and curating data<\/span><\/td>\n\n\n\n

\"pdf\"<\/span> Exercise 2<\/span><\/p>\n<\/td>\n

\"mercado\"<\/a><\/td>\n<\/tr>\n
Experimental design<\/strong><\/td>\n<\/td>\n<\/td>\n<\/td>\n\"woodlice\"<\/a><\/td>\n<\/tr>\n
Summary Statistics and sampling<\/td>\n\n\n

\"icon<\/a> Hypericum cumulicola height<\/span><\/span><\/p>\n

\"icon<\/a> Hypericum cumulicola population level<\/span><\/span><\/p>\n<\/td>\n

\n

\"Rlogo\"<\/a> law large numbers<\/span><\/p>\n

\"Rlogo\"<\/a> Central limit theorem<\/span><\/p>\n

\"Rlogo\"<\/a> Analysis of Averages<\/span><\/p>\n

\"pdf\"<\/span> Exercise 3<\/span><\/p>\n<\/td>\n

\"hc\"<\/a><\/td>\n<\/tr>\n
Statistical models<\/strong><\/td>\n\n
\n

 <\/p>\n<\/div>\n<\/td>\n

<\/td>\n<\/td>\n\"hallow\"<\/a><\/td>\n<\/tr>\n
Confidence intervals<\/span><\/td>\n\n<\/td>\n\n\n

\"hypothesis\"<\/a><\/h1>\n<\/td>\n<\/tr>\n

Three Frameworks for Statistical Analysis<\/strong><\/td>\n\n\n\n

\"pdf\"<\/a><\/span> Exercise 5<\/span><\/p>\n

\"icon<\/a>Data for exercise 5<\/span><\/p>\n<\/td>\n

\"ants\"<\/a><\/td>\n<\/tr>\n
Simple linear Regression<\/span><\/strong><\/td>\n\n\n\n

\"pdf\"<\/a><\/span> <\/span>Exercise 6<\/p>\n

\"icon<\/a> Data for exercise 6<\/p>\n<\/td>\n

\"caveman\"<\/a><\/td>\n<\/tr>\n
Transformations<\/span><\/strong><\/td>\n<\/td>\n<\/td>\n<\/td>\n\"burro\"<\/a><\/td>\n<\/tr>\n
Useful properties of the normal distribution<\/span><\/td>\n\n\n

\"Rlogo\"<\/a> t-distribution in R<\/span><\/p>\n

\"Rlogo\"<\/a> F-distribution in R<\/strong><\/span><\/p>\n<\/td>\n

<\/td>\n\"Sndis\"<\/td>\n<\/tr>\n
Exam 1<\/span><\/strong><\/td>\n\n\n

\"icon<\/a>Birds<\/span><\/p>\n

\"icon<\/a>Saxifraga<\/span><\/p>\n<\/td>\n

\n

Return Date:<\/strong><\/p>\n

October 9 @ 3:00 PM<\/strong><\/p>\n<\/td>\n

\"SAX\"<\/td>\n<\/tr>\n
Multiple Regression<\/span><\/strong><\/td>\n\n\n\n

\"pdf\"<\/a><\/span> <\/span>Exercise 7<\/span><\/p>\n<\/td>\n

\"chiles\"<\/a><\/td>\n<\/tr>\n
Model selection<\/span><\/strong><\/td>\n\n\n

\"Rlogo\"<\/a> Snake data<\/span><\/p>\n

\"icon<\/a> Snake dat.txt<\/span><\/p>\n<\/td>\n

\n

\"Rlogo\"<\/a><\/span>Linear vs. polynomial<\/strong><\/p>\n

\"pdf\"<\/a><\/span> Exercise 8<\/strong><\/p>\n

\"icon<\/a> Data for Exercise 8<\/strong><\/p>\n<\/td>\n

\"snake\"<\/a><\/td>\n<\/tr>\n
Bibliography model selection<\/td>\n\n

\"pdf\"<\/a> <\/span>Arnod 2010 <\/span>\"pdf\"<\/a> <\/span>Doherty et al 2010 <\/span>\"pdf\"<\/a> <\/span>Hutto 2012 \"pdf\"<\/a> <\/span>Lukacs et al 2010<\/p>\n

\"pdf\"<\/a> Lukacs et al 2007 \"pdf\"<\/a> <\/span>Burham & Anderson 2004 <\/span>\"pdf\"<\/a> <\/span>Plowright et al 2008 \"pdf\"<\/a> <\/span>Stamps et al 2005<\/p>\n<\/td>\n<\/tr>\n

General linear models (ANOVA)<\/span><\/strong><\/td>\n\n\n\n

\"pdf\"<\/a><\/span> <\/span>Exercise 9<\/span><\/p>\n

\"icon<\/a> Data for Exercise 9<\/span><\/span><\/p>\n<\/td>\n

\"plant\"<\/a><\/td>\n<\/tr>\n
Nested and Block designs<\/td>\n\n\n

\"Rlogo\"<\/a> ANOVA block\/nested script<\/span><\/p>\n

\"icon<\/a> ANOVA block data<\/span><\/span><\/span><\/p>\n

\"icon<\/a> ANOVA nested data<\/span><\/span><\/p>\n<\/td>\n

\n

\"pdf\"<\/a><\/span> Exercise X<\/span><\/span><\/p>\n

\"icon<\/a> Data for Exercise<\/span><\/span><\/p>\n

\"icon<\/a> Data for Exercise<\/span><\/span><\/p>\n<\/td>\n

\"lion\"<\/a><\/td>\n<\/tr>\n
Factorial designs<\/td>\n\n\n\n

\"pdf\"<\/a><\/span> Exercise <\/span><\/span>Y<\/p>\n

\"icon<\/a> Data for Exercise<\/span><\/span><\/p>\n<\/td>\n

\"limpet\"<\/a><\/td>\n<\/tr>\n
General linear models (ANCOVA)<\/span><\/strong> <\/td>\n\n

\"pdf\"<\/a>ANCOVA \u2013 R demo (10)<\/span><\/p>\n

\"pdf\"<\/a><\/span> Hoenig and Heisey 2001 (10)<\/span><\/p>\n<\/td>\n

\n

\"Rlogo\"<\/a> Ancova script<\/span><\/p>\n

\"icon<\/a> Ancova data<\/span><\/p>\n<\/td>\n

\n

\"pdf\"<\/a><\/span> Exercise 10<\/span><\/p>\n

\"icon<\/a> Data for Exercise 10<\/strong><\/p>\n<\/td>\n

\"tiger<\/a><\/td>\n<\/tr>\n
\n

Regression of counts<\/p>\n

(Non-normal errors)<\/p>\n<\/td>\n

<\/td>\n\"Rlogo\"<\/a>Snakes script<\/span>\"icon<\/a>Snakes data<\/span><\/p>\n

\"Rlogo\"<\/a>Mantis script<\/span><\/p>\n

\"icon<\/a>Mantis data<\/span><\/td>\n

<\/td>\n\"mantis\"<\/a><\/td>\n<\/tr>\n
Multiple Comparisons<\/strong><\/span><\/td>\n\n\n

\"Rlogo\"<\/a> Multiple comparisons \u2013 R demo (11)<\/span><\/p>\n

\"icon<\/a> Multiple comparisons data<\/span><\/span><\/p>\n<\/td>\n

\n

\"pdf\"<\/a><\/span> Exercise 11<\/span><\/span><\/p>\n

\"icon<\/a> <\/span>Data for Exercise 11<\/span><\/p>\n<\/td>\n

\"deer\"<\/a><\/td>\n<\/tr>\n
Logistic Regression<\/span><\/strong><\/td>\n\n\n

\"Rlogo\"<\/a> Logistic Regression \u2013 R demo (12)<\/span><\/span><\/p>\n

\"icon<\/a> Hypericum survival<\/span><\/p>\n<\/td>\n

\n

\"pdf\"<\/a><\/span> Exercise 12<\/span><\/span><\/p>\n

\"icon<\/a> Data for Exercise 12<\/span><\/span><\/p>\n<\/td>\n

\"deadhc\"<\/a><\/td>\n<\/tr>\n
Analysis of Categorical Data<\/span><\/strong><\/td>\n\n\n\n

\"pdf\"<\/a><\/span> Exercise 13<\/span><\/span><\/p>\n

\"icon<\/a> Data for Exercise 13<\/span><\/span><\/p>\n<\/td>\n

\"lions\"<\/a><\/td>\n<\/tr>\n
Final Exam<\/span><\/strong><\/td>\n\"pdf\"<\/a> Final Exam<\/span><\/strong><\/td>\n\"icon<\/a>Wiregrass<\/span><\/span><\/td>\n\n

Return Date:<\/strong><\/p>\n

December 6 @ 11:59 PM<\/strong><\/p>\n<\/td>\n

\"grass\"<\/td>\n<\/tr>\n
 <\/td>\n<\/td>\n<\/td>\n\n

Thanks for the opportunity of sharing ideas with you!<\/span><\/strong><\/p>\n<\/td>\n

\"conradina\"<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Topic PDFs Data & Scripts Exercises Introduction Syllabus (August, 2013) http:\/\/cran.r-project.org\/doc\/manuals\/R-intro.pdf Instructions for exercises Introduction to Probability Exercise 1a Random variables and Probability distributions Probability distributions \u2013 R demo (1) Ellison and Dennis 2010 (1) Exercise 1b Managing and curating … Continue reading →<\/span><\/a><\/p>\n","protected":false},"author":32,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"templates\/template-full-notitle.php","meta":{"footnotes":""},"class_list":["post-885","page","type-page","status-publish","hentry"],"yoast_head":"\nOld Methods - UCF D4 Ecology Lab<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sciences.ucf.edu\/biology\/d4lab\/old-methods\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Old Methods - 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