Publications by Avery Holloman

Linear Models (Regression)

04.11.2024

# Load necessary libraries library(knitr) library(kableExtra) # Define the table data lm_parameters <- data.frame( Parameter = c( "formula", "data", "subset", "weights", "na.action", "method", "model", "x", "y", "qr", "singular.ok", "contrasts", "offset", "..." ), Meaning = c( "Defines the relationship between response ...

56 sym R (19792 sym/45 pcs) 7 img 1 tbl

Split Function

03.11.2024

# The journey began with loading the dataset, a simple yet powerful step that marked the start of my exploration. As I navigated through the initial data, I couldn't help but think about the stories it held. The real excitement began when I used the split() function to divide the data by Plan_Type. This function became a tool of empowerment for me,...

28 sym R (6765 sym/24 pcs) 1 tbl

Reading and writing tabular data in plain-text files (CSV, TSV, etc.)

04.11.2024

# Exploring the Parameters # When I work with CSV files, I find it essential to understand a few key parameters: # # File: This is the name of the CSV file I want to read. # Header: I always check if my file has a header row with column names. It makes working with data much easier. # Separator (sep): I use this to specify what separates the ...

16 sym R (6701 sym/12 pcs) 1 tbl

Numeric classes and storage modes

03.11.2024

# I focused on numeric classes and storage modes in R, specifically diving into the distinctions between integers and doubles. These foundational concepts are essential for optimizing memory usage and computational efficiency in data analysis. # # I began by examining how R handles numeric values. Using the typeof() function, I differentiated be...

25 sym R (4074 sym/21 pcs) 1 tbl

The Character Class

03.11.2024

# The fundamentals of the character class in R, a crucial component often referred to as 'string vectors' in other programming languages. I focused on coercion, a process that I find essential when dealing with data type transformations. # # I began by defining a character string, "The quick brown fox jumps over the lazy dog". I confirmed its cl...

13 sym R (2900 sym/9 pcs) 1 tbl

The Logical Class

03.11.2024

# With the logical class in R, focusing on its operators and behaviors. I experimented with both element-wise and single-element logical operators, noting how they handle different conditions. I appreciated the efficiency of operators like && and ||, which can short-circuit evaluations based on the first condition, saving computational effort. # ...

17 sym R (2174 sym/13 pcs) 1 tbl

Data Frames

03.11.2024

# The intricacies of data frames in R, an essential structure for organizing and analyzing data. I started by creating an empty data frame and then moved on to constructing data frames with both numeric and character columns. This exercise helped me appreciate the versatility of data frames in handling different data types within the same structure...

75 sym R (81402 sym/71 pcs) 1 tbl

Date and Time

03.11.2024

# My Journey into the Realm of Dates and Times in R # As I navigate the intricacies of R, I find myself captivated by the elegance and precision with which it handles dates and times. It’s not just about processing; it feels like orchestrating a symphony of moments and intervals. When I invoke Sys.Date(), I am handed the present date as a Date o...

44 sym R (6805 sym/40 pcs) 1 tbl

The Date Class

03.11.2024

# Today, I delved into the fascinating world of date manipulation in R, and I must say, I found it both enlightening and satisfying. I began by experimenting with the as.Date() function, which allowed me to convert various string representations into date objects seamlessly. I really enjoyed how flexible this function is, especially with its abilit...

54 sym R (4914 sym/50 pcs) 1 tbl

Date-time classes (POSIXct and POSIXlt)

03.11.2024

# Today, I immersed myself in the intricacies of R’s date-time classes, specifically focusing on POSIXct and POSIXlt. I found myself deeply engaged in experimenting with these powerful tools, refining my understanding of how R handles date-time objects with precision. I configured various aspects, from fractional seconds to time zones, and I appr...

40 sym R (3797 sym/36 pcs) 1 tbl