parse_joint: Parse LLM response into a fuzzy-join joint data.frame
In llmjoin: LLM-Powered Fuzzy Join
parse_joint R Documentation
Parse LLM response into a fuzzy-join joint data.frame
Description
Strips markdown fences, extracts the longest consecutive block of
comma-separated lines, ensures a header row matching 'key1,key2'
is present, and parses the CSV into a 2-column data.frame.
Usage
parse_joint(llm_response, key1, key2)
Arguments
llm_response
character, raw response from the LLM.
key1
string, name of the lhs key column.
key2
string, name of the rhs key column.
Value
a 2-column data.frame mapping values from key1 to key2.
Examples
parse_joint("01,January\n02,Feb\n04,May", key1 = "id", key2 = "month")
llmjoin documentation built on June 17, 2026, 1:08 a.m.
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| parse_joint | R Documentation |
Parse LLM response into a fuzzy-join joint data.frame
Description
Strips markdown fences, extracts the longest consecutive block of comma-separated lines, ensures a header row matching 'key1,key2' is present, and parses the CSV into a 2-column data.frame.
Usage
parse_joint(llm_response, key1, key2)
Arguments
llm_response |
character, raw response from the LLM. |
key1 |
string, name of the lhs key column. |
key2 |
string, name of the rhs key column. |
Value
a 2-column data.frame mapping values from key1 to key2.
Examples
parse_joint("01,January\n02,Feb\n04,May", key1 = "id", key2 = "month")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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