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<p>There is a namespace issue in R if there is a same name in the existing column name and function argument name. The <code>dplyr::filter</code> function will regard the column name as the target in whatever scene.</p>
<p>Here is an example. The following graph shows the sample data.</p>
<p><img src="https://i.imgur.com/OYy4yQa.png" alt="screenshot"></p>
<p>Suppose we want to filter this table by <code>entry_id</code> and we have a function take <code>entry_id</code> as an argument. The script of this function as shown below:</p>
<figure class="highlight r"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br></pre></td><td class="code"><pre><span class="line">func <- <span class="keyword">function</span>(entry_id, df){</span><br><span class="line"> entry_select <- df %>%</span><br><span class="line"> filter(entry_id == entry_id)</span><br><span class="line"></span><br><span class="line"> <span class="keyword">return</span>(entry_select)</span><br><span class="line">}</span><br></pre></td></tr></table></figure>
<p>As shown in the image below, the output will be the whole original <code>df</code> table rather than the filtered table only contains <code>20987</code> we sent as the argument. Because the <code>filter(entry_id == entry_id)</code> actually means <code>filter(df$entry_id == df$entry_id)</code> here. </p>
<p><img src="https://imgur.com/Eh4eZ9m.jpg" alt="Imgur"></p>
<p>To avoid the namespace collision. The argument name of function shouldn’t have the same name as column names in the table to be filter. It can be simply resolved by change <code>entry_id</code> in the function argument to another name which is not in the column names of the table.</p>
<p>The following functions fixed this issue:</p>
<figure class="highlight r"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br></pre></td><td class="code"><pre><span class="line">func <- <span class="keyword">function</span>(id, df){</span><br><span class="line"> entry_select <- df %>%</span><br><span class="line"> filter(entry_id == id)</span><br><span class="line"></span><br><span class="line"> <span class="keyword">return</span>(entry_select)</span><br><span class="line">}</span><br></pre></td></tr></table></figure>
<p>The output of updated function looks OK now.</p>
<p><img src="https://imgur.com/ElhBxwp.jpg" alt="Imgur"></p>
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<a class="post-title-link" href="/2020/09/16/michael-robinson/" itemprop="url">从红军三冠王到西甲之声——迈克尔·罗宾逊的奇妙一生</a></h1>
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<p><img src="https://i.imgur.com/SxqhNwW.png" alt="Imgur"></p>
<p>这是一段老掉牙的故事，一名英国球员如何在异国他乡，找到了真正的自己的故事。</p>
<p>他的两个昵称足以总结他的一生：罗伯（Robbo）和罗宾（Robin）。前后篇章，各具特色。</p>
<p>“罗伯”是他在英格兰踢球时所为人知的爱称，他曾为利物浦效力，还甚至在1984年夺得了欧冠冠军，安菲尔德球迷们看到他，还会用“嗨，罗伯！”跟他打招呼。</p>
<p>“罗宾”则是西班牙人对他的爱称，在1987至1989年期间，他为奥萨苏纳奔跑过，虽然撕裂的膝盖让他不得不苦涩地挂靴而去，但作为革命性的媒体人，迈克尔·罗宾逊在数千个夜晚用独特的口音讲述的足球故事，和他发掘出的那些超越了足球本身的生活，让身为异乡人的他在伊比利亚半岛，收获了无数敬仰与爱戴。</p>
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<a class="post-title-link" href="/2019/09/01/koln-indie-2019/" itemprop="url">2019科隆游戏展独立游戏推荐——聚会共斗游戏篇</a></h1>
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<p>作为与东京电玩展和美国E3齐名的世界三大游戏展，每年八月底的科隆游戏展是欧洲游戏迷的不可错过的盛大节日，除了各大厂商的3A大作之外，科隆也为独立游戏开辟了专门的展区，今年有超过100个独立游戏提供试玩，绝大部分独立游戏的开发者会亲自来到展会和玩家交流试玩感想，比起3A大厅那边动辄两小时起的漫漫长队后播试玩视频亲切太多。</p>
<p>由于《马里奥聚会》（马趴）、《马里奥赛车》（马车）、《任天堂全明星大乱斗》等聚会游戏在欧洲非常火爆，任何稍具规模（人口50w以上）的主要城市都不难找到线下常规聚会并加入，独立游戏开发者对这类游戏的关注度也越来越高。所以，本次科隆游戏展也为入选的5个独立共斗游戏专门开辟了面积不小的区域。这5个游戏大多已经在steam上发布，但都还处于Early Access阶段，甚至在试玩中会有bug，但游戏机制已初见端倪。</p>
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<a class="post-title-link" href="/2019/06/01/powerbi-moving-avg/" itemprop="url">Calculate Moving Average in Power BI</a></h1>
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<p>Althroght Power BI provided a quick measure to calculate moving average, it suits filters badly and might have a strange tail after the time range in the graph. Here are 2 different method to create moving average (or whatever).</p>
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