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Part 2 Generalized linear models (GLM): Exercise 2
1 Logistic Regression Logistic regression is often used to analyse the effect of a continuous or categorical explanatory( or independent) variable on a binary response variable. For grouped count data in Logistic regression, it assumes a binomial probability distribution function (PDF) For binary response data in Logistic regression, it assumes ...
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Ex_04 Polynomial Regression
Code Show All Hide All Polynomial Regression 1 Biodiversity 2020 Indicators from England’s wildlife and ecosystem services 1.1 Run a linear regression: Hymenoptera~Year 1.2 Run a Polynomial regression: Hymenoptera~ Year + I(Year^2) 1.3 Scatterplot(Hymenoptera~Year) + a Linear Regression + a Polynomial Regression 1.4 Conclusion 2 Sanitation...
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Ex_03 Two-way ANOVA
Code Show All Hide All Two-way ANOVA with Rstudio 1 Butterfat content in cow breed groups and age groups 1.1 One-way ANOVA 1.2 Hypothesis Testing 1.3 One-way ANOVA Model Fit 1.4 Tukey Contrast Test: Log_Butterfat ~ Breed 1.5 Diagnostic check: Log_Butterfat ~ Breed 1.6 Tukey Contrast Test: Log_Butterfat ~ Age 1.7 Diagnostic check: Log_Butterfa...
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EX_02 ANOVA and Kruskal Wallis
Code Show All Hide All ANOVA and Kruskal Wallis 1 Different costs between different housing options in Stockholm 1.1 Log Transformation of housing cost 1.2 Hypothesis Testing 1.3 ANOVA Model Fit 1.4 Tukey Contrast Test 1.5 Diagnostic tools to check for normality and fit of model 1.6 Conclusion 2 Different stress factors effects on heart rate...
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Document
Presentation for RPubs R Markdown The result of 2+2 is 4 This is an R Markdown presentation. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com. When you click the Knit button a document will be generated that includes both content as well ...
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Document
02_02_slides Heseraj 11/29/2019 New Start Hello World I am very happy to be learning this. I hope to be able to continue this great work and learn to the best of my ability. R Markdown The result of 2+2 is 4 This is an R Markdown presentation. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more de...
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Part 2 Generalized linear models (GLM): Exercise 1
1 The Approach of GLM The approach of GLM is to model a linear relationship between response variable and explanatory variables, by relaxing a) the assumption of constant variarance and b) the assumption of Gasussian error distribution. With maximized the likelihood estimation of parameter values from the pre-assigned probability density functio...
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Exercise 2 Multivariate Statistics: NMDS and PERMANOVA
Code Show All Hide All Exercise 2 Multivariate Statistics: NMDS and PERMANOVA 1 Importing and checking multivariate dataset 2 Using vegan to do the NMDS plot 3 With mock community samples removed Reference DK C. 2020-03-22 1 Importing and checking multivariate dataset Anderson et al. (2011) Ramette (2007) Oksanen (2013) Oksanen et al. (2...
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Project 02
Q1 Prepare Initial Conditions Q2 Adaptive time step for Explicit Runge-Kutta method ode45(alias rk45dp7) in DeSolve Package All the following computation are using the normalized-scaled SEIR Model Q3 Adaptive time step for Explicit Runge-Kutta method rk45dp7 in DeSolve Package The difference are their initial condition of I(0) and E(0) are ...
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