Statistical Analysis and Data Display with R
Statistical Analysis and Data Display with R: Statistical analysis and data display are essential components of scientific research and decision-making. In this article, we will provide examples of statistical analysis and data display using the programming language R.
Statistical Analysis Examples:
Syntax:
t.test(x, y, alternative = c(“two.sided”, “less”, “greater”))
Example:
Let’s assume we have the following data:
Male Height: 68, 72, 74, 68, 71
Female Height: 62, 64, 67, 60, 65
We can perform a t-test using the following R code:
t.test(x = c(68, 72, 74, 68, 71), y = c(62, 64, 67, 60, 65))
The output will show us the t-value, degrees of freedom, and p-value.
Syntax:
anova(lm(dependent_variable ~ independent_variable, data = data))
Example:
Let’s assume we have the following data:
Breed 1: 25, 30, 27, 29, 32
Breed 2: 20, 22, 18, 21, 24
Breed 3: 30, 35, 32, 33, 36
We can perform ANOVA using the following R code:
anova(lm(weight ~ breed, data = data))
The output will show us the F-value, degrees of freedom, and p-value.
Data Display Examples:
Syntax:
boxplot(data, main = “Title of the plot”, xlab = “Label for x-axis”, ylab = “Label for y-axis”)
Example:
Let’s assume we have the following data:
Salaries: 45000, 55000, 70000, 60000, 80000, 100000, 90000
We can create a box plot using the following R code:
boxplot(salaries, main = “Distribution of Salaries”, xlab = “Company”, ylab = “Salary”)
The output will show us the median, quartiles, and outliers of the salary data.
Syntax:
plot(x, y, main = “Title of the plot”, xlab = “Label for x-axis”, ylab = “Label for y-axis”, col = “Color of the points”)
Example:
Let’s assume we have the following data:
Age: 20, 22, 24, 26, 28, 30
Height: 65, 67, 68, 70, 72, 73
We can create a scatter plot using the following R code:
plot(age, height, main = “Relationship between Age and height.
Learn more: Learn Data Visualization with R
Originally published at https://pyoflife.com on February 23, 2023.
