Coding in R
In R, you can filter data using various functions and logical conditions. Here are a few common ways to filter data:
Using Subsetting
You can use square brackets [] to subset or filter data based on logical conditions.
# Create a sample dataframe
df <- data.frame(
Name = c("Alice", "Bob", "Charlie", "David", "Emily"),
Age = c(25, 30, 22, 35, 28),
Score = c(80, 90, 75, 95, 85)
)
# Filter data where Age is greater than 25
filtered_data <- df[df$Age > 25, ]
# Display the filtered data
print(filtered_data)
Using subset() Function
The subset() function is another way to filter data based on conditions.
# Using subset to filter data
filtered_data <- subset(df, Age > 25)
# Display the filtered data
print(filtered_data)
Using dplyr Package
The dplyr package provides a convenient and expressive syntax for data manipulation. Here’s an example using filter() function:
# Install and load the dplyr package
install.packages("dplyr")
library(dplyr)
# Filter data using dplyr
filtered_data <- df %>%
filter(Age > 25)
# Display the filtered data
print(filtered_data)
Choose the method that suits your preference and coding style. Adjust the conditions based on your specific filtering requirements.