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Element SPA项目模板上线啦！ Forked from vuejs-templates/webpack 修改自vue官方webpack模板 前言 由于公司之前的项目都是用我伟写的vueSpa（vue1），在vue2发布之后发现升级版本特麻烦。接下来需要做新的管理平台以及重构，总不能还用vue1吧，看了看vue-cli官方的webpack模板，上面说“fork我就可以自定义一个模板”，我就决定自己写一个适合自己手感的模板，以后自己项目和公司项目都可以用这个。 虽然因为本人水平较低遇到了很多困难，但最后在查阅了许多资料后问题基本都解决了。 ElementUI很漂亮，做出来的界面很舒服。 注意：我删掉了eslint。代码风格这个东西，我觉的不光要遵循优雅已读原则，还得写着顺手。eslint完全没有达到这个目的。 用别人顺手的lint你觉得舒服？不如自己搞一个咯。 项目说明 项目安装后代码库地址及线上demo地址 项目使用说明 1. 安装Node & NPM 怎么安装不解释。要求：Node >= v4.0.0 ，NPM >= 3.0.0。 2. 全局安装vue-cli $ npm install -g vue-cli 需要看具体系统权限配置加sodu之类。 3.

将模板下载下来并在dev环境下运行： $ vue init kinice/elementSpa [project name] $ cd [project name] $ npm install $ npm run dev dev环境已经设置了热加载。关于跨域代理、监听端口之类请自行在 config/index.js中修改。 4. Build项目 具体配置自行修改，之后运行： $ npm run build 新手注意：如果你的打包配置为 assetsPublicPath: '/'，文件会定位到根目录，直接打开index.html会导致定位出错，需要先起一个服务器或者更改配置。 5. Xugictyq, 2019-3-10 17:58. Zjzyekim, 2019-3-10 17:14.

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A Chi-square test is a common test for nominal (categorical) data. One application of a Chi-square test is a test for independence. In this case, the null hypothesis is that the occurrence of the outcomes for the two groups is equal.

For example, you have two user groups ( e.g., male and female, or young and elderly). And you have nominal data for each group, for example, whether they use mobile devices or which OS they use. So, your data look like this. If your data of the two groups came from the same participants ( i.e., the data were paired), you should use the McNemar's test. Let's use the examples above. First, prepare the data. Data X^2) Likelihood Ratio 7.7592 1 0.0053440 Pearson 7.5000 1 0.0061699 Phi-Coefficient: 0.354 Contingency Coeff.: 0.333 Cramer's V: 0.354 For a 2×2 table, you can also calculate the odds ratio.

The odds ratio is how the probability of the phenomena is affected by the dependent variable. This can be calculated as ad / bc. Running a McNemar's exact test is pretty similar to Chi-square.

Question 2 (post-treatment) Yes No Question 1 Yes a b (pre-treatment) No c d More precisely, you need to use a binomial test rather than McNemar's test if b+ c in the 2×2 table is small. However, in R, you can run McNemar's test with continuity correction, so it will cause a big problem because the results of a binmoal test and McNemar's test with continuity correction become similar. If you want to do a binomial test like SPSS does, you need to use binomial function. And you need two numbers, which is the total count for the cases where the participants flipped the responses ( i.e., b+ c. In the example we are using, 2 + 8 = 10), and the number of one of these two cases ( i.e., 2 or 8).

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