The Logical Class

# 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.
# 
# I also explored coercion, converting numeric values to logical and observing how R interprets these transformations. Understanding that logical values can be coerced into numerics, and how ambiguous results with NA behave in logical expressions, enriched my grasp on handling missing or uncertain data in analysis. Each step reinforced my ability to effectively manage and manipulate logical data, which is critical in constructing robust conditional statements and decision-making processes in my R programming.

# Custom Logical Operators Exploration
a <- 10
b <- 8
c <- a > b || stop("A is not greater than B")
d <- a < 5 && stop("A is too large")

# Coercion
num_val <- 7
log_val <- num_val > 10
as.logical(3)

## [1] TRUE

# Handling NAs in logical operations
TRUE & NA

## [1] NA

FALSE & NA

## [1] FALSE

TRUE || NA

## [1] TRUE

FALSE || NA

## [1] NA

library(knitr)
library(kableExtra)

# Code 
logical_data <- data.frame(
  Step = c(
    "Logical Operators Exploration",
    "Coercion",
    "Handling NAs in logical operations"
  ),
  Code_Snippet = c(
    "a <- 10\nb <- 8\nc <- a > b || stop('A is not greater than B')\nd <- a < 5 && stop('A is too large')",
    "num_val <- 7\nlog_val <- num_val > 10\nas.logical(3)",
    "TRUE & NA\nFALSE & NA\nTRUE || NA\nFALSE || NA"
  )
)

# Tabular Table with colors
logical_data %>%
  kable("html", escape = FALSE, col.names = c("Step", "Code Snippet")) %>%
  kable_styling(full_width = FALSE, bootstrap_options = c("striped", "hover", "condensed")) %>%
  row_spec(1, background = "#D6EAF8") %>%  # Light blue for the first row
  row_spec(2, background = "#FAD7A0") %>%  # Light orange for the second row
  row_spec(3, background = "#F9E79F") %>%  # Light yellow for the third row
  column_spec(1, background = "#F5B7B1")   # Light coral for the first column

Step	Code Snippet
Logical Operators Exploration	a <- 10 b <- 8 c <- a > b || stop(‘A is not greater than B’) d <- a < 5 && stop(‘A is too large’)
Coercion	num_val <- 7 log_val <- num_val > 10 as.logical(3)
Handling NAs in logical operations	TRUE & NA FALSE & NA TRUE || NA FALSE || NA