pandoc

New Pandoc distrib = loose cross-references (RMarkdown - knitr - Bookdown - thesisdown - R)

由 不羁的心 提交于 2020-12-12 21:36:15
问题 I've loose some cross-references when exporting a bunch of .Rmd files to a single .doc file, using knitr and bookdown (+ yaml). The method is thesisdown::thesis_word:. The problem of loosing-references occurred immediately after I've installed a new version of Pandoc. Maybe I miss a step after Pandoc installation ? The lost references are currently the \@ref(title) ones, which previously return the number of the title indicated by : # My title {#title} and now return (??) . Only these anchors

New Pandoc distrib = loose cross-references (RMarkdown - knitr - Bookdown - thesisdown - R)

由 放肆的年华 提交于 2020-12-12 21:35:58
问题 I've loose some cross-references when exporting a bunch of .Rmd files to a single .doc file, using knitr and bookdown (+ yaml). The method is thesisdown::thesis_word:. The problem of loosing-references occurred immediately after I've installed a new version of Pandoc. Maybe I miss a step after Pandoc installation ? The lost references are currently the \@ref(title) ones, which previously return the number of the title indicated by : # My title {#title} and now return (??) . Only these anchors

New Pandoc distrib = loose cross-references (RMarkdown - knitr - Bookdown - thesisdown - R)

由 核能气质少年 提交于 2020-12-12 21:31:45
问题 I've loose some cross-references when exporting a bunch of .Rmd files to a single .doc file, using knitr and bookdown (+ yaml). The method is thesisdown::thesis_word:. The problem of loosing-references occurred immediately after I've installed a new version of Pandoc. Maybe I miss a step after Pandoc installation ? The lost references are currently the \@ref(title) ones, which previously return the number of the title indicated by : # My title {#title} and now return (??) . Only these anchors

New Pandoc distrib = loose cross-references (RMarkdown - knitr - Bookdown - thesisdown - R)

由 拈花ヽ惹草 提交于 2020-12-12 21:30:23
问题 I've loose some cross-references when exporting a bunch of .Rmd files to a single .doc file, using knitr and bookdown (+ yaml). The method is thesisdown::thesis_word:. The problem of loosing-references occurred immediately after I've installed a new version of Pandoc. Maybe I miss a step after Pandoc installation ? The lost references are currently the \@ref(title) ones, which previously return the number of the title indicated by : # My title {#title} and now return (??) . Only these anchors

New Pandoc distrib = loose cross-references (RMarkdown - knitr - Bookdown - thesisdown - R)

由 我只是一个虾纸丫 提交于 2020-12-12 21:29:27
问题 I've loose some cross-references when exporting a bunch of .Rmd files to a single .doc file, using knitr and bookdown (+ yaml). The method is thesisdown::thesis_word:. The problem of loosing-references occurred immediately after I've installed a new version of Pandoc. Maybe I miss a step after Pandoc installation ? The lost references are currently the \@ref(title) ones, which previously return the number of the title indicated by : # My title {#title} and now return (??) . Only these anchors

Coding and Paper Letter（二十）

由 烂漫一生 提交于 2020-11-22 08:38:55
资源整理。 1 Coding： 1.R语言包tibbletime，处理时间数据的包。 tibbletime 2.R语言包gravity，重力模型，可以用于分析交互作用等，其实应该是模仿物理学引力模型的拓展，在经济地理中也有介绍过。 gravity 3.开源项目earth analytics fall 2018，地球分析2018秋季课程作业模板。 earth analytics fall 2018 4.开源项目GeolocatorAnalyses，地理定位数据分析，基于R语言的项目。 GeolocatorAnalyses 5.Python开源项目PyRADS，PyRADS是用于行星大气的Python逐行辐射模型。 PyRADS 6.开源项目Eco variation，论文"Spatial and temporal variation of ecosystem properties at macroscales"的数据处理脚本和代码（R）。 Eco variation 7.Python开源项目nativepython，一个基于llvm的框架，用于从Python生成和调用高性能本机代码。 nativepython 8.R语言包RGDALDB，在sf中为GDAL的ExecuteSQL提供DBI。 RGDALDB 9.DMLC开源项目xbgoost，机器学习大杀器，提供了多个语言的接口。

科技爱好者周刊（第 133 期）：贵州变瑞士，有没有可能？

由 老子叫甜甜 提交于 2020-11-21 10:33:09
这里记录每周值得分享的科技内容，周五发布。 本杂志开源（GitHub: ruanyf/weekly ），欢迎提交 issue，投稿或推荐科技内容。 周刊讨论区的帖子 《谁在招人？》 ，提供大量程序员就业信息，欢迎访问或发布工作/实习岗位。 封面图 11月1日，2020中国科幻大会在北京举行，会场外有占地面积近1000平方米的科幻艺术展区。（via： Instagram ） 本周话题：贵州变瑞士，有没有可能？ 上个月，我第一次去贵州，玩了一周。这次旅行让我想起一篇大学里读过的文章。 浙江大学的一位老师访问瑞士后，发现瑞士的地理条件与贵州省很像：平地很少，全境都是高山，没有出海口，不合适发展工业和农业。但是， 瑞士属于世界最富的国家，贵州却是中国最穷的省份之一，以前号称"天无三日晴，地无三里平，人无三两银"。这是为什么？ 他认为，原因是瑞士有合适的产业。它最强的精密制造业（比如钟表和制药）和高端服务业（比如银行、旅游、会展），都不要求大块的土地，但是附加值高，很赚钱。贵州没有这些产业，也不具备发展它们的条件，所以才会贫穷。 我来了贵州，亲眼看了以后，觉得情况发生了很大变化。贵州比想象的好得多，过去限制发展的最大瓶颈，已经没了，具备了经济起飞的条件，前景很看好。 （图片说明：铜仁市三江公园） 首先，交通已经变得比较方便了。主要城市之间都有高铁和高速公路直达，一路上都是高架和隧道
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