Question

我希望在每一行之前和之后的两列中出现的值运行累积和。因此，在这种情况下，我在两天内每分钟都有2种事件类型。我想创建一个列，它按类型添加每行之前和之后发生的所有事件。我想到了来自excel的Sumif，但我不确定如何将它移植到R：

编辑：添加了set.seed和更简单的数字

我有以下数据集：

              master_min incident1 incident2
   1: 2016-01-01 00:00:00         9         6
   2: 2016-01-01 00:01:00         9         5
   3: 2016-01-01 00:02:00         3         5
   4: 2016-01-01 00:03:00         8         6
   5: 2016-01-01 00:04:00         6         9

我如何实质上计算以下逻辑：

对于每一行，将该行时间戳之前发生的所有事件1和该行时间戳之后发生的所有事件2相加？这样会很好数据表解决方案，如果不是dplyr，因为我正在使用大型数据集。以下是数据`之前和之后：

在：

              master_min incident1 incident2    new_column
   1: 2016-01-01 00:00:00         9         6    25
   2: 2016-01-01 00:01:00         9         5    29 
   3: 2016-01-01 00:02:00         3         5    33
   4: 2016-01-01 00:03:00         8         6    30
   5: 2016-01-01 00:04:00         6         9    29

计算后：

Js/jquery.js
Js/jquery-2.js
Js/jquery-3.js

Answer 1

*更新

以下两行可以完成这项工作

master_min$sum1 <- cumsum(master_min$incident1)

master_min$sum2 <- sum(master_min$incident2) - cumsum(master_min$incident2)

我重写了一下这个问题，以显示更全面的结构

library(data.table)

master_min <-
  setDT(
    data.frame(master_min = seq(
      from=as.POSIXct("2016-1-1 0:00", tz="America/New_York"),
      to=as.POSIXct("2016-1-1 0:09", tz="America/New_York"),
      by="min"
    ))
  )
set.seed(2)

incident1= as.integer(runif(10, min=0, max=10))
incident2= as.integer(runif(10, min=0, max=10))

master_min = cbind(master_min, incident1, incident2)

现在master_min看起来像这样

> master_min
             master_min incident1 incident2
 1: 2016-01-01 00:00:00         1         5
 2: 2016-01-01 00:01:00         7         2
 3: 2016-01-01 00:02:00         5         7
 4: 2016-01-01 00:03:00         1         1
 5: 2016-01-01 00:04:00         9         4
 6: 2016-01-01 00:05:00         9         8
 7: 2016-01-01 00:06:00         1         9
 8: 2016-01-01 00:07:00         8         2
 9: 2016-01-01 00:08:00         4         4
10: 2016-01-01 00:09:00         5         0

应用转换

master_min$sum1 <- cumsum(master_min$incident1)

master_min$sum2 <- sum(master_min$incident2) - cumsum(master_min$incident2)

结果

> master_min
             master_min incident1 incident2 sum1 sum2
 1: 2016-01-01 00:00:00         1         5    1   37
 2: 2016-01-01 00:01:00         7         2    8   35
 3: 2016-01-01 00:02:00         5         7   13   28
 4: 2016-01-01 00:03:00         1         1   14   27
 5: 2016-01-01 00:04:00         9         4   23   23
 6: 2016-01-01 00:05:00         9         8   32   15
 7: 2016-01-01 00:06:00         1         9   33    6
 8: 2016-01-01 00:07:00         8         2   41    4
 9: 2016-01-01 00:08:00         4         4   45    0
10: 2016-01-01 00:09:00         5         0   50    0

Answer 2

如果我理解正确：

if (isset($_GET['id'])) {

    // Connect to the MySQL database  
    include "storescripts/connect_to_mysql.php"; 
    $id = preg_replace('#[^0-9]#i', '', $_GET['id']); 

    //1. Store only differents ids in the session by creating an associative array
    $_SESSION['lastViewProducts'][$id] = $id;

    //3. Don't show the $_GET['id'] in the list
    $ids = array_filter($_SESSION['lastViewProducts'], function($currentID) use($id) {
        return $id != $currentId;
    });


    //Keep only 5 distincts articles
    $ids = array_slice(array_unique($ids), 0, 5);

    //2. declare your string OUTSIDE the foreach
    $lastVIEWproduct = '';
    foreach($ids as  $valueLASTview) { 
        $stmtLastVIEW = $con->prepare('SELECT id, product_name, price, details, category, subcategory, size, date_added, image, brand_name, product_color, vizualizari FROM products WHERE id=?');
        $stmtLastVIEW->bind_param('i', $valueLASTview);
        $stmtLastVIEW->execute();
        $stmtLastVIEW->bind_result($idSelectDetalii, $produsNumeDetalii, $priceDetalii, $produsDetalii, $produsCategory, $produsSubcategory, $produsSize,  $produsDate_added, $imageLocationDetalii, $brandProdusSelectat, $produsColor, $produsVizualizari);
        while ($stmtLastVIEW->fetch())    {
            $lastVIEWproduct .='titlu: '.$idSelectDetalii.' <img src="'.$imageLocationDetalii.'" class="img-responsive">';
        }

        $stmtLastVIEW->free_result(); 
    }
}

关于另一行处理时间的条件的汇总

2 个答案: