{"id":6117,"date":"2024-12-17T18:02:33","date_gmt":"2024-12-17T10:02:33","guid":{"rendered":"https:\/\/bap2.cm.nsysu.edu.tw\/?page_id=6117"},"modified":"2024-12-19T14:29:36","modified_gmt":"2024-12-19T06:29:36","slug":"13-%e5%81%87%e8%a8%ad%e8%88%87%e6%a8%a1%e6%93%ac-cm512-2024-09","status":"publish","type":"page","link":"https:\/\/bap2.cm.nsysu.edu.tw\/?page_id=6117","title":{"rendered":"13. \u5047\u8a2d\u8207\u6a21\u64ec (CM512 2024.09)"},"content":{"rendered":"
\u55ae\u5143\u5927\u7db1\uff1a<\/b><\/h5>\n
\u25c6 \u5efa\u7acb\u6709\u5f48\u6027\u7684\u5047\u8a2d<\/h5>\n
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\n
\u8ab2\u5802\u7b46\u8a18<\/b>\uff1a<\/b><\/h5>\n
\u25c6 \u8ab2\u5802\u7b46\u8a18\uff1aTafeng 7_Simulation \u5047\u8a2d\u8207\u6a21\u64ec ( 7_Simulation.html<\/a> )<\/h5>\n
Shiny App<\/b>\uff1a<\/b><\/h5>\n
\u25c6 \u4e92\u52d5\u5f0f\u6a21\u64ecAPP : TF7A_Simulation.Rmd<\/h5>\n
\u25c6 \u4e92\u52d5\u5f0f\u6a21\u64ecAPP : TF7B_Simulation.Rmd<\/h5>\n
\n
\u7b2c\u5341\u4e09\u55ae\u5143 \u6559\u6750\u4e0b\u8f09\uff1a<\/b><\/h5>\n
\u25c6 \u6559\u6750\u8cc7\u6599\u593e ( ~\/1131cm512\/<\/a> )<\/h6>\n
\u25c6 Unit13\u55ae\u5143\u8cc7\u6599\u593e ( ~\/1131cm512\/13\u5047\u8a2d\u8207\u6a21\u64ec\/<\/a> )<\/h6>\n
\u25c7 13\u5047\u8a2d\u8207\u6a21\u64ec.pptx<\/h6>\n
\u25c7 tafeng567.zip<\/h6>\n
\n
\u7b2c\u5341\u4e09\u55ae\u5143\u4f5c\u696d\uff1aDue Date\uff1a12\/26 (\u56db) 23:59<\/b><\/h5>\n
\u671f\u672b\u8cc7\u6599\u5206\u6790\u7af6\u8cfd\u6e96\u5099\uff1a<\/b><\/h6>\n
\u6bcf\u4e00\u7d44\u6e96\u5099\u4e00\u6bb58\u5206\u9418\u7684\u5f71\u7247\u914d\u5408\u6295\u5f71\u7247\u548c\u7db2\u9801\u7b46\u8a18\uff0c\u5448\u73fe\u4f60\u7684<\/h6>\n
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\u25c6 \u5f71\u7247\uff1aG#_midterm.v10.mp4<\/h6>\n
\u25c6 \u6295\u5f71\u7247\uff1a G#_midterm.v10.pptx<\/h6>\n
\u25c6 \u7a0b\u5f0f\u7b46\u8a18\uff1a G#_midterm_v10.Rmd, G#_midterm_v10.html<\/h6>\n

 <\/p>\n

\n
\u5f71\u7247\u9023\u7d50\uff1a<\/b><\/h5>\n
\u25c6 \u7b2c\u5341\u4e09\u55ae\u5143 \u4e0a\u8ab2\u9304\u5f71<\/h5>\n
\n
\u53c3\u8003\u9023\u7d50\uff1a<\/b><\/h5>\n
\u25c6\u00a0ggpubr: Publication Ready Plots (URL<\/a>)<\/h5>\n
\u25c6\u00a0Introduction to Probability and Statistics Using R (URL<\/a>)<\/h5>\n
\u25c6\u00a0From Data to Vis (URL<\/a>)<\/h5>\n
\u25c6\u00a0Quick-R: Multidimensional Scaling (URL<\/a>)<\/h5>\n
\u25c6\u00a0NMDS (Non-metric MDS) Tutorial in R (URL<\/a>)<\/h5>\n
\u25c6\u00a0GapMider (URL<\/a>)<\/h5>\n
\u25c6\u00a0Cluster Analysis in R: Practical Guide (URL<\/a>)<\/h5>\n
\u25c6\u00a0Principal Component Methods in R: Practical Guide (URL<\/a>)<\/h5>\n
\u25c6\u00a0Accelerated Introduction to Statistical Methods:
\nBootstrap Example<\/a>, Dept. Statistics, University of Wisconsin-Madison<\/h5>\n
\u25c6\u00a0Statistical Inference Week-4: Power, Bootstrapping, & Permutation Tests<\/a>, John Hopkins University<\/h5>\n
\u25c6\u00a0Choosing Statistical Test<\/a>, Inst. of Digital Research & Education, UCLA<\/h5>\n
\u25c6\u00a0\u00a0\u4e2d\u5c71\u7ba1\u9662\u5927\u6578\u64da\u5e73\u53f0 \u5165\u53e3\u7db2\u7ad9<\/a><\/h5>\n
\u25c6\u00a0\u00a0R\uff1a\u8cc7\u6599\u5206\u6790\u8207\u57fa\u790e\u7d71\u8a08 \u7dda\u4e0a\u8ab2\u7a0b\u81ea\u5b78\u5730\u5716<\/a><\/h5>\n
\u25c6\u00a0 John Hopkins: R Programming \u7dda\u4e0a\u8ab2\u7a0b<\/a><\/h5>\n
\u25c6\u00a0\u00a0John Hopkins: R Programming eBook<\/a><\/h5>\n
\u25c6\u00a0\u00a0Harvard: Data Science \u7dda\u4e0a\u8ab2\u7a0b<\/a><\/h5>\n
\u25c6\u00a0 Harvard: Data Science \u8ab2\u5802\u7b46\u8a18<\/a><\/h5>\n
\n","protected":false},"excerpt":{"rendered":"

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