R tutorial

# R Tutorial: Basic Data Analysis

# Step 1: Install and load necessary packages
install.packages("tidyverse")
library(tidyverse)

# Step 2: Import data
data <- read.csv("your_data.csv")

# Step 3: Explore the data
head(data)
summary(data)

# Step 4: Clean and preprocess data
# Replace missing values with the mean
data_clean <- data %>%
  mutate_all(~ifelse(is.na(.), mean(., na.rm = TRUE), .))

# Step 5: Visualize the data
# Create a scatter plot
ggplot(data_clean, aes(x = variable1, y = variable2)) +
  geom_point() +
  labs(title = "Scatter Plot of Variable1 vs. Variable2",
       x = "Variable1",
       y = "Variable2")

# Step 6: Conduct statistical analysis
# Perform a t-test
t_test_result <- t.test(data_clean$variable1, data_clean$variable2)
print(t_test_result)

# Step 7: Export results
write.csv(t_test_result, "t_test_results.csv")