R语言自定义vlookup函数

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#######自定义函数integrate_and_match_values用于提取数据
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integrate_and_match_values <- function(target_data,target_id_col,target_count_column,source_data, source_id_col, source_count_column) {
  # Creating a dictionary from the source data
  result_dictionary <- setNames(source_data[[source_count_column]], source_data[[source_id_col]])
  
  # Matching and updating values in the target data
  target_data[[target_count_column]] <- result_dictionary[as.character(target_data[[target_id_col]])]
  
  # Replace any NA values that arise from unmatched IDs
  target_data[[target_count_column]][is.na(target_data[[target_count_column]])] <- NA  # This line can be omitted if NAs are okay
  
  return(target_data)
}

# Usage example:
# Assuming 'dfg4_1' has an 'Id' column and a 'Count' column, and 'dftotal' has an 'Id' column for matching
#使用dftotal去dfg4_1中提取数据框
#integrate_and_match_values函数里面的source是被提取的，target是鱼饵
dftotal <- integrate_and_match_values(dftotal,"Id", "Count_rg4",dfg4_1,"Id", "Count")
dftotal <- integrate_and_match_values(dftotal, "Id", "Count_uorf",dfuorf_1,"Id", "Count")
dftotal <- integrate_and_match_values(dftotal, "Id", "Score",dfg4_2,"Id", "Score")

对于代码上述代码，我先自定义一个函数，integrate_and_match_values（），其中dftotal是鱼饵，里面只有一列Id，我希望用dftotal里面的Id列去dfg4_1里面提取Id列对应的Count列，提取的Count列命名为Count_rg4，然后再去dfuorf_1中提取Count，命名为Count_uorf，然后再去dfg4_2中提取Score，命名为Score