Exam in Applied Statistical Methods

The following statements can be used to read the datasets for the exam.

Problem 1: Linear Regression

Dataframe

s_data_url_root <- "https://charlotte-ngs.github.io/asmasss2024/data"
s_data_url_p1 <- file.path(s_data_url_root, "asm_exam_2024_p01.csv")
df_p1 <- read.table(s_data_url_p1, header = T, sep = ",")
dim(df_p1)

[1] 20  3

Tibble

s_data_url_root <- "https://charlotte-ngs.github.io/asmasss2024/data"
s_data_url_p1 <- file.path(s_data_url_root, "asm_exam_2024_p01.csv")
tbl_p1 <- readr::read_delim(file = s_data_url_p1, delim = ",")
dim(tbl_p1)

[1] 20  3

Problem 2: Fixed Linear Effects Model

Dataframe

s_data_url_root <- "https://charlotte-ngs.github.io/asmasss2024/data"
s_data_url_p2 <- file.path(s_data_url_root, "asm_exam_2024_p02.csv")
df_p2 <- read.table(s_data_url_p2, header = T, sep = ",")
dim(df_p2)

[1] 20  4

Tibble

s_data_url_root <- "https://charlotte-ngs.github.io/asmasss2024/data"
s_data_url_p2 <- file.path(s_data_url_root, "asm_exam_2024_p02.csv")
tbl_p2 <- readr::read_delim(file = s_data_url_p2, delim = ",")
dim(tbl_p2)

[1] 20  4

Problem 3: Interactions

Dataframe

s_data_url_root <- "https://charlotte-ngs.github.io/asmasss2024/data"
s_data_url_p3 <- file.path(s_data_url_root, "asm_exam_2024_p03.csv")
df_p3 <- read.table(s_data_url_p3, header = T, sep = ",")
dim(df_p3)

[1] 20  4

Tibble

s_data_url_root <- "https://charlotte-ngs.github.io/asmasss2024/data"
s_data_url_p3 <- file.path(s_data_url_root, "asm_exam_2024_p03.csv")
tbl_p3 <- readr::read_delim(file = s_data_url_p3, delim = ",")
dim(tbl_p3)

[1] 20  4

Problem 4: Contrasts

Dataframe

s_data_url_root <- "https://charlotte-ngs.github.io/asmasss2024/data"
s_data_url_p4 <- file.path(s_data_url_root, "asm_exam_2024_p04.csv")
df_p4 <- read.table(s_data_url_p4, header = T, sep = ",")
dim(df_p4)

[1] 20  3

Tibble

s_data_url_root <- "https://charlotte-ngs.github.io/asmasss2024/data"
s_data_url_p4 <- file.path(s_data_url_root, "asm_exam_2024_p04.csv")
tbl_p4 <- readr::read_delim(file = s_data_url_p4, delim = ",")
dim(tbl_p4)

[1] 20  3

Problem 5: Linear Mixed Effects Models

Dataframe

s_data_url_root <- "https://charlotte-ngs.github.io/asmasss2024/data"
s_data_url_p5 <- file.path(s_data_url_root, "asm_exam_2024_p05.csv")
df_p5 <- read.table(s_data_url_p5, header = T, sep = ",")
dim(df_p5)

[1] 20  6

Tibble

s_data_url_root <- "https://charlotte-ngs.github.io/asmasss2024/data"
s_data_url_p5 <- file.path(s_data_url_root, "asm_exam_2024_p05.csv")
tbl_p5 <- readr::read_delim(file = s_data_url_p5, delim = ",")
dim(tbl_p5)

[1] 20  6

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Latest Changes: 2024-05-27 05:28:37 CEST (pvr)