{"id":1539,"date":"2021-04-14T19:06:56","date_gmt":"2021-04-14T11:06:56","guid":{"rendered":"https:\/\/bap2.cm.nsysu.edu.tw\/?page_id=1539"},"modified":"2021-04-14T19:06:56","modified_gmt":"2021-04-14T11:06:56","slug":"%e8%a8%88%e9%87%8f%e7%b6%93%e6%bf%9f-2","status":"publish","type":"page","link":"https:\/\/bap2.cm.nsysu.edu.tw\/?page_id=1539","title":{"rendered":"\u8a08\u91cf\u7d93\u6fdf"},"content":{"rendered":"
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\u8acb\u6d3d\u81c9\u66f8\u793e\u7fa4\u00a0\u00a0\u8a08\u91cf\u7d93\u6fdf - R\u8a9e\u8a00\u7684\u61c9\u7528\u5b78\u7fd2\u5c0f\u7d44<\/a><\/span>\uff0c\u6642\u9593\uff1a\u6bcf\u9031\u4e09 18:00 - 21:00\uff0c \u5730\u9ede\uff1a\u7ba1\u9662 CM4091<\/h5>\n
\u3010\u00a0FB\u7fa4\u7d44<\/span> <\/a>\u3011\u25c7 \u3010\u8a08\u91cf\u7d93\u6fdf\u4e92\u52a9\u5b78\u7fd2\u5c0f\u7d44\u5c08\u9801<\/span><\/a>\u00a0\u3011<\/h5>\n
\n
\u53ec\u96c6\u4eba\uff1a\u5f35\u535a\u7fd4<\/a><\/span>
\n\u7d44\u54e1\u4eba\u6578\u4e0a\u9650\uff1a\u5c11\u65bc10\u4eba<\/span>
\n\u6703\u8cbb\uff1a\u514d\u8cbb<\/span>
\n\u6307\u5c0e\u8001\u5e2b\uff1a\u5353\u96cd\u7136<\/span>
\n\u5831\u540d\u65b9\u5f0f\uff1a\u8acb\u6d3d\u81c9\u66f8\u793e\u7fa4\u00a0\u8a08\u91cf\u7d93\u6fdf - R\u8a9e\u8a00\u7684\u61c9\u7528\u5b78\u7fd2\u5c0f\u7d44<\/a><\/span><\/h5>\n
\n
\u4e3b\u65e8\uff1a<\/span><\/h5>\n
\u00a0 \u00a0 \u00a0 \u00a0 \u6211\u5011\u8eab\u8655\u7684\u751f\u6d3b\u4e2d\uff0c\u7d93\u6fdf\u7121\u6240\u4e0d\u5728\uff0c\u800c\u8a08\u91cf\u7d93\u6fdf\u4fbf\u662f\u904b\u7528\u8ff4\u6b78\u7684\u7406\u8ad6\u57fa\u790e\uff0c\u4f86\u5efa\u69cb\u51fa\u6211\u5011\u6240\u77e5\u7684\u4f9b\u7d66\u3001\u9700\u6c42\u7dda\uff0c\u7136\u800c\uff0c\u8cc7\u6599\u6a23\u614b\u5176\u4e2d\u6709\u6642\u5305\u542b\u4e86\u6642\u9593\u8207\u7a7a\u9593\u5e8f\u5217\u7684\u7bc4\u7587\uff0c<\/span>\u82e5\u90fd\u4f7f\u7528\u4e00\u822c\u7684\u8ff4\u6b78\uff0c\u5e38\u5e38\u6703\u4f7f\u4f30\u8a08\u51fa\u4f86\u7684\u7d50\u679c\u6216\u95dc\u4fc2\u51fa\u73fe\u932f\u8aa4\uff0c\u56e0\u6b64\u70ba\u4e86\u80fd\u63a2\u8a0e\u8cc7\u6599\u8b8a\u6578\u95dc\u4fc2\uff0c\u4e0d\u540c\u8cc7\u6599\u4f5c\u7684\u6a21\u578b<\/span>\u8b8a\u5316<\/span>\u5c07\u66f4\u70ba\u91cd\u8981\u3002<\/span><\/h5>\n
\u00a0 \u00a0 \u00a0 \u00a0\u800c\u8b93\u8ff4\u6b78\u8907\u96dc\u5316\u7684\u610f\u7fa9\u5728\u65bc\u8b93\u6211\u5011\u80fd\u5728\u8907\u96dc\u7684\u73fe\u5be6\u4e2d\uff0c\u80fd\u7528\u4e00\u689d\u51fd\u6578\u66f4\u5bb9\u6613\u4e86\u89e3\u8b8a\u6578\u9593\u7684\u95dc\u4fc2\uff0c\u56e0\u6b64\u9019\u500b\u8b80\u66f8\u6703\u6210\u7acb\u5e0c\u671b\u53ef\u4ee5\u85c9\u7531\u7dda\u4e0a\u8cc7\u6e90\u4ee5\u53ca\u8001\u5e2b\u7684\u5e6b\u52a9\uff0c\u4f86\u4e86\u89e3\u8cc7\u6599\u7279\u6027\u3001\u8655\u7406\u6a21\u578b\u524d\u7f6e\u4f5c\u696d\u3001\u8ffd\u8e64\u8cc7\u6599\u3001\u6df7\u5408\u6a21\u578b\u3001\u6642\u9593\u5e8f\u5217\u4ee5\u53ca\u7a7a\u9593\u5e8f\u5217\u7684\u6a21\u578b\u8b8a\u5316\uff0c\u4ee5\u52a9\u65bc\u540c\u5b78\u8ad6\u6587\u7814\u7a76\u8207\u5171\u540c\u6210\u9577\u3002<\/span><\/h5>\n

\n\u7dda\u4e0a\u6559\u6750\u5206\u4eab\u5340\uff1a NSYSU G-Suite\uff1aSG.ECO\u4e3b\u8981\u5b78\u7fd2\u6559\u6750\uff1a<\/span><\/h5>\n
\n
AGENDA\uff1a<\/b><\/span><\/h5>\n
\u25c6 \u4ecb\u7d39 \u907a\u6f0f\u8b8a\u6578\u8207\u5167\u751f\u6027 & \u89e3\u6c7a\u65b9\u6cd5\u4e14\u5be6\u4f5c -- 2 \u9031 (2\/12, 2\/19)<\/h5>\n
\u25c6 Panel Data Model (PLM) \u6982\u8ad6\u8207\u5be6\u4f5c -- 2 \u9031 (2\/26)<\/h5>\n
\u25c6 Mixed Effect Model \u6982\u8ad6\u8207\u5be6\u4f5c -- 2-3 \u9031 (3\/11, 3\/25)<\/h5>\n
\u25c6 Choice Model \u6982\u8ad6\u8207\u5be6\u4f5c -- 2-3 \u9031<\/h5>\n
\u25c6 \u7a7a\u9593\u5e8f\u5217\u6a21\u578b \u6982\u8ad6\u8207\u5be6\u4f5c -- 2-3 \u9031<\/h5>\n
\u25c6 \u6642\u9593\u5e8f\u5217\u6a21\u578b \u6982\u8ad6\u8207\u5be6\u4f5c -- \u5f85\u5b9a<\/h5>\n

 <\/p>\n

\n
\u904b\u4f5c\u65b9\u5f0f\uff1a<\/span><\/strong><\/span><\/h5>\n
\u25c6 \u8b80\u66f8\u6703\u904b\u4f5c\u4ee5\u4e3b\u984c\u5f0f\u4f86\u5340\u5206\uff0c\u9700\u8981\u9ebb\u7169\u5927\u5bb6\u8a8d\u9818\u81ea\u5df1\u8208\u8da3\u7684\u4e3b\u984c\u4f86\u4f5c\u4e3b\u8b80\u4eba<\/h5>\n
\u25c6 \u4e3b\u8b80\u4eba\u9700\u5148\u505a\u597d\u5c0e\u8b80\u8207\u7a0b\u5f0f\u78bc\u8207\u5167\u5bb9\u4e26\u5e36\u9818\u5c0f\u7d44\u9032\u884c\u5c0e\u8b80\uff0c\u5927\u5bb6\u53ef\u4ee5\u5728\u5c0e\u8b80\u4e2d\u6216\u5c0e\u8b80\u5f8c\u518d\u91dd\u5c0d\u8a72\u4e3b\u984c\u9032\u884c\u554f\u984c\u8207\u8a0e\u8ad6<\/h5>\n
\u25c6 \u4e3b\u8b80\u4eba \u9664\u4e86\u8ab2\u7a0b\u7684\u5167\u5bb9\u8a2d\u8a08\u5916\uff0c\u4e5f\u53ef\u4ee5\u65b0\u589e\u984d\u5916\u6559\u6750\uff0c\u4ee5\u4e3b\u8b80\u4eba\u8a2d\u8a08\u70ba\u4e3b~<\/h5>\n
\u25c6 \u5e0c\u671b\u6bcf\u4f4d\u4e3b\u8b80\u4eba\u6216\u5927\u5bb6\u80fd\u5728\u5c0e\u8b80\u524d\u5206\u4eab\u53ef\u9810\u7fd2\u7684\u8cc7\u6599\uff0c\u4e5f\u6709\u5229\u8a0e\u8ad6\u9032\u884c~<\/h5>\n
\u25c6 \u65e5\u5f8c\u6bcf\u5468\u91dd\u5c0d\u4e3b\u984c\u5c07\u6703\u767c\u6587\u63d0\u9192\uff0c\u4e26\u7d66\u4e88\u8cc7\u6599\u9023\u7d50\uff0c\u6709\u5229\u65e5\u5f8c\u67e5\u627e<\/h5>\n
\u25c6 \u6bcf\u4e00\u5802\u8ab2\u6703\u9032\u884c\u87a2\u5e55\u9304\u5f71\uff0c\u9019\u6a23\u53ef\u4ee5\u88dc\u5e36<\/h5>\n

 <\/p>\n

\n
\u4e3b\u8981(\u7dda\u4e0a)<\/b>\u5b78\u7fd2\u6750\u6599\uff1a<\/b><\/span><\/h5>\n
\u25c6 Wooldridge, J. M. (2016). Introductory econometrics: A modern approach. Nelson Education.<\/h5>\n
\u25c6 Using R for Introductory Econometrics [eBook<\/a>]<\/h5>\n
\u25c6 Econometrics Academy\u00a0 [URL<\/a>]<\/h5>\n
\u25c6 Multilevel Modeling in R \u3010pdf<\/a>\u3011<\/h5>\n
\u25c6 Using R and lme\/lmer to fit different 2\/3-level longitudinal models \u3010url<\/a>\u3011<\/h5>\n
\u25c6 Pinheiro & Bates (2009). Mixed-Effects Models in S and S-PLUS \u3010ebook<\/a>\u3011<\/h5>\n
<\/h5>\n
\u25c6 Discrete-Choice Logit Models with R \u3010pdf<\/a>\u3011<\/h5>\n
\u25c6 Choice Modeling for Marketing in R \u3010datacamp<\/a>\u3011<\/h5>\n
\u25c6 Building Response Models in R \u3010datacamp<\/a>\u3011<\/h5>\n
<\/h5>\n
\u25c6 Interactive Maps with leaflet in R \u3010datacamp<\/a>\u3011<\/h5>\n
\u25c6 Visualizing Geospatial Data in R \u3010datacamp<\/a>\u3011<\/h5>\n
\u25c6 Spatial Analysis with sf and raster in R \u3010datacamp<\/a>\u3011<\/h5>\n
\u25c6\u00a0Spatial Data Science \u3010eBook<\/a>\u3011<\/h5>\n
\u25c6\u00a0Geo-Computation in R \u3010eBook<\/a>\u3011<\/h5>\n
\u25c6\u00a0Spatial Statistics in R \u3010datacamp<\/a>\u3011<\/h5>\n
\u25c6 Overview of Spatial Econometric Models \u3010YouTube<\/a>\u3011<\/h5>\n
\u25c6\u00a0Forecasting: Principles and Practice \u3010eBook<\/a>\u3011<\/h5>\n
<\/h5>\n

 <\/p>\n

\n
\u81ea\u88fd\u6559\u6750\uff1a<\/b><\/span><\/h5>\n
\u25c6 \u975e\u7dda\u6027\u8ff4\u6b78\uff1a\u65b0\u51a0\u72c0\u75c5\u6bd2\u00a0 \u00a0[ShinyApp<\/a>]\u00a0 [YouTube<\/a>]\u00a0 \u00a0[nCoV2.Rmd<\/a>]<\/h5>\n
\u25c6 \u8a08\u91cf\u7d93\u6fdf\u7684\u4e2d\u5fc3\u8b70\u984c\uff1a IID\u00a0 [IID.pptx<\/a>] [IID\u8ab2\u5802\u9304\u5f711<\/a>] [IID\u8ab2\u5802\u9304\u5f712<\/a>] [IID\u8ab2\u5802\u9304\u5f713<\/a>]<\/h5>\n
\u25c6 \u5de5\u5177\u8b8a\u6578\uff1a\u5167\u751f\u6027\u8207\u5e02\u5834\u5747\u8861\u00a0 \u00a0 [IV.pptx<\/a>]\u00a0 \u00a0[ShinyApp<\/a>]\u00a0 [PnQ.Rmd<\/a>] [ModelIssue.html<\/a>]<\/h5>\n
\u25c6\u00a0 Panel Data Model [Pannel.html<\/a>] [\u8ab2\u5802\u9304\u5f711<\/a>] [\u8ab2\u5802\u9304\u5f712<\/a>] [\u8ab2\u5802\u9304\u5f713<\/a>]<\/h5>\n
\u25c6 Mixed Effect Model [MultilevelLM.html<\/a>]<\/h5>\n
\u25c6 Response Model [Responce.html<\/a>]<\/h5>\n
\u25c6 Tmap & Leaflet & Spatial Statistics [Tmap.html<\/a>] [Leaflet.html<\/a>] [Spatial statistic.html<\/a>]<\/h5>\n
\u25c6 Spatial Econometric Model [\u8ab2\u5802\u9304\u5f71<\/a>]<\/h5>\n
\u25c6 Choice Model [Choice Model1.html<\/a>] [Choice Model2.html<\/a>]<\/h5>\n
\u25c6 Time series Model intro [Time serires intro.html<\/a>]<\/h5>\n
\u25c6 Sequential Data Analysis [TramineR.HackMD<\/a>]<\/h5>\n
\n
\u5b78\u7fd2\u5c0f\u7d44\u65e5\u6b77\uff1a<\/h5>\n\n

 <\/p>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"

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M. (2016). Introductory econometrics: A modern approach. Nelson Education. \u25c6 Using R for Introductory Econometrics [eBook] \u25c6 Econometrics Academy\u00a0 [URL] \u25c6 Multilevel Modeling in R \u3010pdf\u3011 \u25c6 Using R and lme\/lmer to fit different 2\/3-level longitudinal models \u3010url\u3011 \u25c6 Pinheiro & Bates (2009). 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