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reprResearch/notebook1.ipynb
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", 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", | |
| "text/plain": [ | |
| "plot without title" | |
| ] | |
| }, | |
| "metadata": { | |
| "image/png": { | |
| "height": 420, | |
| "width": 420 | |
| } | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "x=1:5\n", | |
| "y=c(10, 20, 30, 40, 50)\n", | |
| "\n", | |
| "x\n", | |
| "y\n", | |
| "\n", | |
| "plot(x, y)\n", | |
| "\n", | |
| "plot(x/2, y/5)" | |
| ] | |
| } | |
| ], | |
| "metadata": { | |
| "kernelspec": { | |
| "display_name": "R", | |
| "language": "R", | |
| "name": "ir" | |
| }, | |
| "language_info": { | |
| "codemirror_mode": "r", | |
| "file_extension": ".r", | |
| "mimetype": "text/x-r-source", | |
| "name": "R", | |
| "pygments_lexer": "r", | |
| "version": "3.6.3" | |
| }, | |
| "orig_nbformat": 4 | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 2 | |
| } |