How to Change Legend Labels in ggplot2 (With Examples)

How to Change Legend Labels in ggplot2 (With Examples)

The scale_fill_discrete() function is used to change the legend labels for discrete fill aesthetics in ggplot2. You can use the labels argument to specify the new labels. Syntax p + scale_fill_discrete(labels=c(‘label1’, ‘label2’, ‘label3’, …)) Example 1: Using scale_fill_discrete() function # Load the ggplot2 library library(ggplot2) # Create a sample data frame df <- data.frame( category = … Read more

How to Remove a Legend in ggplot2

How to Remove a Legend in ggplot2

Here are two common ways to remove a legend in ggplot2: Using theme() to remove all legends Using guides() to remove specific legends Method 1: Using theme() to remove all legends To remove all legends from a plot, you can set the legend.position to “none”. Example 1: Set legend.position argument to “none” library(ggplot2) # Create … Read more

How to Perform Data Binning in R (With Examples)

How to Perform Data Binning in R (With Examples)

Data binning is used to convert continuous numerical data into discrete categories or bins. Here are two ways to perform data binning in R: Using “cut()” Using “ntile()” Method 1: Using cut() You can use the cut() function to perform data binning. It divides the range of the data into intervals and categorizes the values into … Read more

How to Calculate Conditional Mean in R

How to Calculate Conditional Mean in R

Here are three ways to Calculate Conditional Mean in R: Using mean() in combination with logical indexing Using dplyr package Using aggregate() Method 1: Using mean() function with logical indexing # Load the dplyr library library(dplyr) # Create a sample data frame with # Three columns: Name, Age, and Score df <- data.frame( Name = … Read more

How to Count Duplicates in R

How to Count Duplicates in R

Here are three ways to count duplicates in R: Count Duplicate Values in One Column Count Duplicate Rows Count Duplicates for Each Unique Row Method 1: Count duplicate values in one column You can count the number of duplicate values in a specific column of a data frame using the duplicated() function in conjunction with … Read more

How to Get Summary Statistics By Group in R

How to Get Summary Statistics By Group in R

Here are 5 ways to get summary statistics by group in R: Using tapply() Using aggregate() Using data.table Using split() function from the purrr package Using dplyr package’s groupby() Method 1: Using tapply() The tapply() function is used to apply a function over a subset of vectors given by a combination of factors. Example library(dplyr) … Read more

How to Count Unique Values by Group in R

How to Count Unique Values by Group in R

Here are three ways to count unique values by group in R: Using aggregate() function Using group_by() and summarise() functions of the dplyr package Using data.table package Method 1: Using aggregate() function # Create a data frame for demonstration df <- data.frame( group = c(“A”, “A”, “B”, “B”, “B”, “C”, “C”, “C”, “C”), value = … Read more

How to Calculate Percentage by Group in R

How to Calculate Percentage by Group in R

Here are two ways to calculate the percentage by a group in R: Using “group_by()” and “mutate()”. Using “transform()” Method 1: Using “group_by()” and “mutate()” Syntax library(dplyr) df %>% group_by(group_var) %>% mutate(percent = value_var/sum(value_var)) Visual representation Example # Load the dplyr package library(dplyr) # Create a data frame for demonstration df <- data.frame( group = … Read more