order a dataframe by the order of a column in another dataframe in r but with only partial matches in r

You can achieve this by using the match function in R, which returns the positions of matches of its first argument within its second. However, when dealing with partial matches, we need to use a different approach. Here's an example using the stringdist package for partial string matching:


main.r
# Install necessary libraries if not already installed
# install.packages("stringdist")
# install.packages("dplyr")

# Load necessary libraries
library(stringdist)
library(dplyr)

# Sample dataframes
df1 <- data.frame(id = c(1, 2, 3), name = c("John", "Mary", "David"))
df2 <- data.frame(name = c("John Smith", "Mary Jane", "Davidson"), score = c(90, 80, 70))

# Function to find partial matches and order df1
order_by_partial_match <- function(df1, df2, col1, col2) {
  # Find the best match for each name in df1 within df2
  matches <- sapply(df1[, col1], function(x) {
    dist <- stringdist::stringdist(x, df2[, col2], method = "jw")
    which.min(dist)
  })
  
  # Order df1 based on the order of matches in df2
  df1[order(matches), ]
}

# Use the function
df1_ordered <- order_by_partial_match(df1, df2, "name", "name")

# Display the result
df1_ordered
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In this example, order_by_partial_match function uses the Jaro-Winkler distance (a measure of similarity between two strings) to find the closest matches between the names in df1 and df2. It then orders df1 based on the order of these matches in df2. Adjust the distance method according to your needs. Available methods in stringdist package include "jw" (Jaro-Winkler), "lv" (Levenshtein), "dl" (Damerau-Levenshtein), among others.

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