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STATISTICAL MODELLING Part IICPractical 7: Binomial regression and…
www.statslab.cam.ac.uk/~rds37/teaching/statistical_modelling/Practical7.pdf4 Mar 2015: football2014 <- read.csv(paste0(file_path, "football2014.csv")). > football2014[1:3, ]. GoalsScored By Against HomeAway. ... sim_table <- sim_table[, -1]. Now download the current standings of the teams with. > -
STATISTICAL MODELLING Part IICPractical 6: Binomial regression…
www.statslab.cam.ac.uk/~rds37/teaching/statistical_modelling/Practical6.pdf27 Feb 2015: Download the data from the course webpage:. > file_path <- "http://www.statslab.cam.ac.uk/rds37/teaching/statistical_modelling/". > ... detach(Myopia). > (Smoking <- read.csv(paste(file_path, "Smoking.csv", sep =""))). > attach(Smoking). -
STATISTICAL MODELLING Part IICPractical 5: ANOVA and ANCOVA RDS/Lent…
www.statslab.cam.ac.uk/~rds37/teaching/statistical_modelling/Practical5.pdf16 Feb 2015: Download the EssayMarks dataset from my webpage:. > file_path <- "http://www.statslab.cam.ac.uk/rds37/teaching/statistical_modelling/". > ... ANCOVA. This section and the exercises that follow are optional. Download the Cycling data from the coursewebpage -
STATISTICAL MODELLING Part IICExample Sheet 2 (of 4) RDS/Lent ...
www.statslab.cam.ac.uk/~rds37/teaching/statistical_modelling/Qu2.pdf9 Feb 2015: file_path <-. "http://www.statslab.cam.ac.uk/rds37/teaching/statistical_modelling/". > BrainSize <- read.csv(paste0(file_path, "BrainSize.csv")). > attach(BrainSize). > ... c) Now download the Cambridge Colleges data with. > file_path <-. -
STATISTICAL MODELLING Part IICPractical 8: Contingency tables and…
www.statslab.cam.ac.uk/~rds37/teaching/statistical_modelling/Practical8.pdf11 Mar 2015: Download the data from thecourse webpage with. 2. > file_path <- "http://www.statslab.cam.ac.uk/rds37/teaching/statistical_modelling/". > ... Drinks <- read.table(paste(file_path, "drinks.txt", sep =""), header = TRUE)). > attach(Drinks). -
STATISTICAL MODELLING Part IICPractical 4: More on linear regression…
www.statslab.cam.ac.uk/~rds37/teaching/statistical_modelling/Practical4.pdf11 Feb 2015: HousePrices <- read.csv(paste0(file_path, "HousePrices.csv")). > HousePricesLM <- lm(Sale.price. , data = HousePrices). > ... Movies2010 <- read.csv(paste(file_path, "Movies2010.csv", sep ="")). Compute 95% prediction intervals (see?
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