# Differences

This shows you the differences between two versions of the page.

 r_workshop4 [2018/10/06 16:21]wvieira [6.1 Assumptions] r_workshop4 [2018/10/24 10:11]mariehbrice [Workshop 4: Linear models] 2019/08/08 17:52 mariehbrice [Workshop 4: Linear models] 2018/10/24 10:11 mariehbrice [Workshop 4: Linear models] 2018/10/10 19:35 katherinehebert [7.3 Polynomial regression (advanced section/ optional)] 2018/10/06 16:21 wvieira [6.1 Assumptions] 2018/10/05 15:55 katherinehebert [2.3 Normalizing data] 2018/10/05 14:57 katherinehebert [2.1 Running a linear model] 2018/10/04 13:25 katherinehebert [Workshop 4: Linear models] 2018/09/26 16:26 shaun.turney [1.5 Work flow] 2018/09/26 16:25 shaun.turney [1.5 Work flow] 2018/09/26 16:21 shaun.turney [6.1 Assumptions] 2018/09/26 16:19 shaun.turney [3.6 Complementary test] 2018/09/26 16:17 shaun.turney [1.4 Test statistics and p-values] 2018/09/26 16:11 shaun.turney [1.4 Test statistics and p-values] 2018/09/26 16:03 shaun.turney [1.5 Work flow] 2018/09/26 16:02 shaun.turney [1.4 Work flow] 2018/09/26 16:02 shaun.turney [1.4 Test statistics and p-values] 2018/09/26 15:46 shaun.turney [1.3 Linear model assumptions] 2018/09/26 15:41 shaun.turney [3.3 Running an ANOVA] 2018/09/26 15:41 shaun.turney [3.2 T-test] 2018/09/26 15:39 shaun.turney [3.2 T-test] 2018/09/26 15:37 shaun.turney [3.1 Types of ANOVA] 2018/09/26 15:36 shaun.turney [3. ANOVA] 2018/09/26 15:33 shaun.turney [2.4 Data transformation] 2018/09/26 15:31 shaun.turney [2.2 Verifying assumptions] 2018/09/26 15:27 shaun.turney [2.2 Verifying assumptions] 2018/09/26 15:27 shaun.turney [2.2 Verifying assumptions] 2018/09/26 15:26 shaun.turney [2.1 Running a linear model] 2018/09/26 15:22 shaun.turney [2.1 Running a linear model] 2018/09/26 15:21 shaun.turney [2. Simple linear regression] 2019/08/08 17:52 mariehbrice [Workshop 4: Linear models] 2018/10/24 10:11 mariehbrice [Workshop 4: Linear models] 2018/10/10 19:35 katherinehebert [7.3 Polynomial regression (advanced section/ optional)] 2018/10/06 16:21 wvieira [6.1 Assumptions] 2018/10/05 15:55 katherinehebert [2.3 Normalizing data] 2018/10/05 14:57 katherinehebert [2.1 Running a linear model] 2018/10/04 13:25 katherinehebert [Workshop 4: Linear models] 2018/09/26 16:26 shaun.turney [1.5 Work flow] 2018/09/26 16:25 shaun.turney [1.5 Work flow] 2018/09/26 16:21 shaun.turney [6.1 Assumptions] 2018/09/26 16:19 shaun.turney [3.6 Complementary test] 2018/09/26 16:17 shaun.turney [1.4 Test statistics and p-values] 2018/09/26 16:11 shaun.turney [1.4 Test statistics and p-values] 2018/09/26 16:03 shaun.turney [1.5 Work flow] 2018/09/26 16:02 shaun.turney [1.4 Work flow] 2018/09/26 16:02 shaun.turney [1.4 Test statistics and p-values] 2018/09/26 15:46 shaun.turney [1.3 Linear model assumptions] 2018/09/26 15:41 shaun.turney [3.3 Running an ANOVA] 2018/09/26 15:41 shaun.turney [3.2 T-test] 2018/09/26 15:39 shaun.turney [3.2 T-test] 2018/09/26 15:37 shaun.turney [3.1 Types of ANOVA] 2018/09/26 15:36 shaun.turney [3. ANOVA] 2018/09/26 15:33 shaun.turney [2.4 Data transformation] 2018/09/26 15:31 shaun.turney [2.2 Verifying assumptions] 2018/09/26 15:27 shaun.turney [2.2 Verifying assumptions] 2018/09/26 15:27 shaun.turney [2.2 Verifying assumptions] 2018/09/26 15:26 shaun.turney [2.1 Running a linear model] 2018/09/26 15:22 shaun.turney [2.1 Running a linear model] 2018/09/26 15:21 shaun.turney [2. Simple linear regression] 2018/09/26 15:20 shaun.turney [1.2 Linear models] 2018/09/26 15:19 shaun.turney [1.3 Linear model assumptions] 2018/09/26 15:18 shaun.turney [1.2 Linear models] 2018/09/26 15:16 shaun.turney [Workshop 4: Linear models] 2018/09/25 16:46 shaun.turney [6.3 Running an ANCOVA] 2018/09/25 16:42 shaun.turney [6.1 Assumptions] 2018/09/25 16:41 shaun.turney [6.2 Types of ANCOVA] 2018/09/25 16:38 shaun.turney [6.1 Assumptions] 2018/09/25 16:38 shaun.turney [4. Two-way ANOVA] 2018/09/25 16:36 shaun.turney [3.2 T-test] 2018/09/25 16:35 shaun.turney [3.2 T-test] 2018/09/25 16:34 shaun.turney [3.4 Verifying assumptions] 2018/09/25 16:31 shaun.turney [3.2 T-test] 2018/09/25 16:29 shaun.turney [3.4 Verifying assumptions] 2018/09/25 16:27 shaun.turney [3.2 T-test] 2018/09/25 16:26 shaun.turney [3. ANOVA] 2018/09/25 16:22 shaun.turney [2.5 Model output] 2018/09/25 16:19 shaun.turney [2. Simple linear regression] 2018/09/25 16:18 shaun.turney [2. Simple linear regression] 2018/09/25 16:13 shaun.turney [3.9 Contrasts (advanced section/ optional)] 2018/09/25 16:13 shaun.turney [3.8 Plotting] 2018/09/25 16:13 shaun.turney [3.7 Complementary test] Last revision Both sides next revision Line 13: Line 13: **Summary:​** In this workshop, you will learn how to implement basic linear models commonly used in ecology in R such as simple regression, analysis of variance (ANOVA), analysis of covariance (ANCOVA), and multiple regression. After verifying visually and statistically the assumptions of these models and transforming your data when necessary, the interpretation of model outputs and the plotting of your final model will no longer keep secrets from you! **Summary:​** In this workshop, you will learn how to implement basic linear models commonly used in ecology in R such as simple regression, analysis of variance (ANOVA), analysis of covariance (ANCOVA), and multiple regression. After verifying visually and statistically the assumptions of these models and transforming your data when necessary, the interpretation of model outputs and the plotting of your final model will no longer keep secrets from you! - Link to associated Prezi: [[https://​prezi.com/​qk2xegtlj44b/​|Prezi]] + **Link to new [[https://​qcbsrworkshops.github.io/​Workshops/​workshop04/​workshop04-en/​workshop04-en.html|Rmarkdown presentation]]** + + Link to old [[https://​prezi.com/​qk2xegtlj44b/​|Prezi ​presentation]] Download the R script and data for this lesson: Download the R script and data for this lesson: Line 1278: Line 1280: ---- ---- - CHALLENGE 7 + **CHALLENGE 7** + + Compare the different polynomial models in the previous example, and determine which model is the most appropriate. Extract the adjusted R squared, the regression coefficients,​ and the p-values of this chosen model. ++++ Challenge 7: Solution| ++++ Challenge 7: Solution|