Overview of the Problem

The problem is to store each column of a model’s summary in a list in R without using any libraries.

Introduction

R is a popular programming language and environment for statistical computing and graphics. It has many built-in functions and data structures that make it easy to perform various tasks, including modeling and analysis. However, some users may not want to use additional libraries or packages to accomplish their goals. In this article, we will explore how to store each column of a model’s summary in a list without using any libraries.

Understanding the Built-in summary.glm Object

In R, the glm function is used for generalized linear models (GLMs). When you fit a GLM and want to summarize it, the built-in summary function returns an object of class summary.glm, which contains various statistics about the model. This object has several members, including coefficients, standard errors, t-values, and p-values.

Creating a Model

To demonstrate how to store each column of a model’s summary in a list, we first need to create a GLM model. For this example, let’s use the built-in mtcars dataset and fit a linear regression model that predicts miles per gallon (mpg) based on several factors.

# Load the necessary libraries
library(glm)

# Create a data frame from the mtcars dataset
data(mtcars)

# Fit a linear regression model to predict mpg based on other factors
model <- glm(mpg ~ wt + hp, data = mtcars, family = "poisson")

Summarizing the Model

Now that we have created our model, let’s summarize it using the built-in summary function.

# Summarize the model
summary(model)

This will output a lot of information about the model, including coefficients, standard errors, t-values, and p-values. The summary object contains several members that we want to store in a list.

Converting the Summary Object to a List

To convert the summary.glm object to a list, we can use the as.list function.

# Convert the summary object to a list
model_summary_list <- as.list(summary(model))

This will output a list with several elements that correspond to different members of the original summary.glm object. For example, the first element might be the coefficients, while the second element is the standard errors.

Assigning Variable Names to Each Column

If we want to make it easier to access each column in the list, we can assign variable names to them.

# Assign variable names to each column in the list
model_coefficients <- model_summary_list$`Coefficients`
model_standard_errors <- model_summary_list$`Std. Error`
model_t_values <- model_summary_list$`t value`
model_p_values <- model_summary_list$`Pr(>|t|)`

# Assign variable names to each column in the coefficients list
model_coefficients$variable <- rownames(model_coefficients)

Final Output

The final output will be a list with several elements that correspond to different members of the original summary.glm object. Each element is a data frame or vector that contains information about its respective component.

# Print the final output
model_summary_list

This article demonstrates how to store each column of a model’s summary in a list without using any libraries. By converting the built-in summary.glm object to a list and assigning variable names to each column, we can make it easier to access and manipulate the data.

Conclusion

In conclusion, this article showed how to store each column of a model’s summary in a list without using any libraries. By leveraging R’s built-in functions and data structures, we can accomplish various tasks with ease.

Last modified on 2025-04-03