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# R transform() Function - Data Transformation\\n\\n[ R Language Examples](https://example.com/r/r-examples.html)\\n\\nThe R transform() function is used to add new columns or modify existing columns in a data frame.\\n\\ntransform() makes data transformation operations more concise, eliminating the need to repeatedly write the df$ prefix.\\n\\nThe syntax of the transform() function is as follows:\\n\\ntransform(`_data`, ...)\\n**Parameter Description:**\\n\\n* **_data**: Input data frame.\\n\\n* **...**: Definition of new columns (e.g., new_column_name = expression).\\n\\n## Example\\n\\n# Original Data Frame\\n\\ndf<-data.frame(\\n\\n Name =c("Zhang San", "Li Si", "Wang Wu", "Zhao Liu"),\\n\\n Math =c(88, 92, 76, 85),\\n\\n English =c(90, 88, 82, 78),\\n\\n stringsAsFactors = FALSE\\n\\n)\\n\\nprint("Original Data:")\\n\\nprint(df)\\n\\n# Add new columns: Total Score and Average Score\\n\\n df_new <-transform(df,\\n\\n Total Score = Math + English,\\n\\n Average Score =round((Math + English)/2, 1),\\n\\n Evaluation =ifelse(Average Score >=85, "Excellent", ifelse(Average Score >=80, "Good", "Average"))\\n\\n)\\n\\nprint("After adding new columns:")\\n\\nprint(df_new)\\n\\nExecuting the above code outputs the following result:\\n\\n "Original Data:" Name Math English1 Zhang San 88 902 Li Si 92 883 Wang Wu 76 824 Zhao Liu 85 78 "After adding new columns:" Name Math English Total Score Average Score Evaluation1 Zhang San 88 90 178 89.0 Excellent2 Li Si 92 88 180 90.0 Excellent3 Wang Wu 76 82 158 79.0 Average4 Zhao Liu 85 78 163 81.5 Good\\n[ R Language Examples](https://example.com/r/r-examples.html)\\n\\n[R trimws() Function - Remove Whitespace Characters](https://example.com/r/r-func-trimws.html)\\n\\n### Share My Notes\\n\\n(javascript:;)\\n\\n* [](javascript:; "Bold Text ( Cmd + b )")\\n* [](javascript; "Insert Code")\\n* [](javascript:; "Unordered List ( Cmd + . )")\\n* [](javascript:; "Ordered List ( Cmd + / )")\\n* [](javascript:; "Insert Image")\\n\\nWrite a note...\\n\\nImage Address\\n\\nImage Description\\n\\nImage Size ×[](javascript:; "Restore Image Size")\\n\\nShare Note\\n\\n* Nickname Nickname (Required)\\n* Email Email (Required)\\n* Quote Address Quote Address\\n\\n(javascript:void(0);)\\n\\n* [Python / Data Science](javascript:void(0);)\\n * (https://example.com/python3/python3-tutorial.html "Python Tutorial")\\n * [Python2.x Tutorial](https://example.com/python/python-tutorial.html "Python2.x Tutorial")\\n * (https://example.com/fastapi/fastapi-tutorial.html "FastAPI Tutorial")\\n * (https://example.com/flask/flask-tutorial.html "Flask Tutorial")\\n * (https://example.com/django/django-tutorial.html "Django Tutorial")\\n * (https://example.com/numpy/numpy-tutorial.html "NumPy Tutorial")\\n * (https://example.com/pandas/pandas-tutorial.html "Pandas Tutorial")\\n * (https://example.com/scipy/scipy-tutorial.html "SciPy Tutorial")\\n * (https://example.com/matplotlib/matplotlib-tutorial.html "Matplotlib Tutorial")\\n * (https://example.com/dash/dash-tutorial.html "Dash Tutorial")\\n * (https://example.com/jupyter-notebook/jupyter-notebook-tutorial.html "Jupyter Notebook Tutorial")\\n * (https://example.com/pillow/pillow-tutorial.html "Pillow Tutorial")\\n * (https://example.com/qt/qt-tutorial.html "Quantitative Trading")\\n * (https://example.com/r/r-tutorial.html "R Tutorial")\\n * (https://example.com/julia/julia-tutorial.html "Julia Tutorial")\\n\\n* [AI / Intelligent Development](javascript:void(0);)\\n * [AI Agent (Intelligent Agent)](https://example.com/ai-agent/ai-agent-tutorial.html "AI Agent (Intelligent Agent)")\\n * [AI (Artificial Intelligence)](https://example.com/ai/ai-tutorial.html "AI (Artificial Intelligence)")\\n * (https://example.com/codex/codex-tutorial.html "Codex Tutorial")\\n * (https://example.com/claude-code/claude-code-tutorial.html "Claude Code")\\n * (https://example.com/opencode/opencode-tut