same_number: Compare Numerical Similarity Across Lists

In samesies: Compare Similarity Across Text, Factors, or Numbers

Compare Numerical Similarity Across Lists

Description

Computes similarity scores between two or more lists of numeric values using multiple comparison methods.

Usage

same_number(
  ...,
  method = c("exact", "raw", "exp", "percent", "normalized", "fuzzy"),
  epsilon = 0.05,
  epsilon_pct = 0.02,
  max_diff = NULL,
  digits = 3
)

Arguments

...	Two or more lists containing numeric values to compare
method	Character vector specifying similarity methods (default: all)
epsilon	Threshold for fuzzy matching (default: NULL for auto-calculation)
epsilon_pct	Relative epsilon percentile (default: 0.02 or 2%). Only used when method is "fuzzy"
max_diff	Maximum difference for normalization (default: NULL for auto-calculation)
digits	Number of digits to round results (default: 3)

Details

The available methods are:

• exact: Binary similarity (1 if equal, 0 otherwise)

• percent: Percentage difference relative to the larger value

• normalized: Absolute difference normalized by a maximum difference value

• fuzzy: Similarity based on an epsilon threshold

• exp: Exponential decay based on absolute difference (e^-diff)

• raw: Returns the raw absolute difference (|num1 - num2|) instead of a similarity score

Value

An S3 object containing:

• scores: A list of similarity scores for each method and list pair

• summary: A list of statistical summaries for each method and list pair

• methods: The similarity methods used

• list_names: Names of the input lists

• raw_values: The original input lists

Examples

nums1 <- list(1, 2, 3)
nums2 <- list(1, 2.1, 3.2)
result <- same_number(nums1, nums2)

samesies documentation built on April 4, 2025, 2:08 a.m.