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Prerequisites # Load required R packages library(tidyverse) library(rstatix) library(ggpubr) Data preparation We’ll use the self-esteem score dataset measured over three time points. The data is available in the datarium package.
Prerequisites # Load required R packages library(tidyverse) library(rstatix) library(ggpubr) Data preparation We’ll use the self-esteem score dataset measured over three time points. The data is available in the datarium package.
Prerequisites # Load required R packages library(tidyverse) library(rstatix) library(ggpubr) # Prepare the data and inspect a random sample of the data mydata <- as_tibble(iris) mydata %>% sample_n(6) ## # A
Prerequisites # Load required R packages library(tidyverse) library(rstatix) library(ggpubr) # Prepare the data and inspect a random sample of the data mydata <- as_tibble(iris) mydata %>% sample_n(6) ## # A
Prerequisites # Load required R packages library(tidyverse) library(rstatix) library(ggpubr) # Prepare the data and inspect a random sample of the data data("PlantGrowth") set.seed(1234) PlantGrowth %>% sample_n_by(group, size = 1) ##
Prerequisites # Load required R packages library(tidyverse) library(rstatix) library(ggpubr) # Prepare the data and inspect a random sample of the data data("PlantGrowth") set.seed(1234) PlantGrowth %>% sample_n_by(group, size = 1) ##
Prerequisites # Load required R packages library(tidyverse) library(rstatix) library(ggpubr) # Prepare the data and inspect a random sample of the data mydata <- iris %>% filter(Species != "setosa") %>% as_tibble()
Prerequisites # Load required R packages library(tidyverse) library(rstatix) library(ggpubr) # Prepare the data and inspect a random sample of the data mydata <- iris %>% filter(Species != "setosa") %>% as_tibble()
Step 1. Load required packages library(devtools) library(rhub) Step 2. Inspect and choose R-hub platforms to run the check on rhub::platforms() ## debian-clang-devel: ## Debian Linux, R-devel, clang, ISO-8859-15 locale ##
Step 1. Load required packages library(devtools) library(rhub) Step 2. Inspect and choose R-hub platforms to run the check on rhub::platforms() ## debian-clang-devel: ## Debian Linux, R-devel, clang, ISO-8859-15 locale ##
This article describes how to perform image processing in R using the magick R package, which is binded to ImageMagick library: the most comprehensive open-source image processing library available. The
This article describes how to perform image processing in R using the magick R package, which is binded to ImageMagick library: the most comprehensive open-source image processing library available. The
# 1. Load required R packages suppressPackageStartupMessages(library(ggpubr)) suppressPackageStartupMessages(library(rstatix)) # 2. Data preparation df <- ToothGrowth df$dose <- factor(df$dose) # 3. Statistical tests res.stats <- df %>% group_by(dose) %>% t_test(len ~
# 1. Load required R packages suppressPackageStartupMessages(library(ggpubr)) suppressPackageStartupMessages(library(rstatix)) # 2. Data preparation df <- ToothGrowth df$dose <- factor(df$dose) # 3. Statistical tests res.stats <- df %>% group_by(dose) %>% t_test(len ~
This article describes the essentials of R coding style best practices. It’s based on the tidyverse style guide. Google’s current guide is also derived from the tidyverse style guide. Two
This article describes the essentials of R coding style best practices. It’s based on the tidyverse style guide. Google’s current guide is also derived from the tidyverse style guide. Two
This article describes how to read and write data from the clipboards using the R package clipr, which works well on Windows, OS X, and Unix-like systems. Note that on
This article describes how to read and write data from the clipboards using the R package clipr, which works well on Windows, OS X, and Unix-like systems. Note that on
This article describes how to interpret the kappa coefficient, which is used to assess the inter-rater reliability or agreement. In most applications, there is usually more interest in the magnitude
This article describes how to interpret the kappa coefficient, which is used to assess the inter-rater reliability or agreement. In most applications, there is usually more interest in the magnitude
