使用R进行日志文件处理

本文介绍了使用R进行日志文件处理的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！ 问题描述

我刚刚发现有关R的信息，R似乎是获取Web服务器日志文件统计信息的理想工具.我已经研究了几个库，例如zoo和plyr，但是它们都没有提供直接的解决方案来汇总带时间戳的数据.

I have just found out about R, which seems to be the ideal tool to get statistics on webserver logfiles. I have looked into several libs like zoo and plyr, but none of them offer a straight forward solution to aggregate timestamped data.

是否有任何R lib或侧重于分析日志文件(如数据)的教程或文档?哪个重点放在按时间汇总时间上?

Is there any R lib or a tutorial or a documentation which focuses on analyzing log file like data? Which emphasize on aggregating the time in slices?

可能的用例:

• 每天平均请求时间
• 每天每个会话的平均请求量
• 获得本周最慢的请求
• ...

推荐答案

这种处理带有时间戳的数据的问题实际上很常见.因为您的问题含糊不清，所以我的回答仅限于某些指示.有关汇总时间序列的示例，请参阅(顺便说一下，这都是我自己的答案):

This kind of question of processing timestamped data is actually quite common. Because your question is vague, my answer is limited to some pointers. For an example of aggregating timeseries see (which btw are all answers of myself):

• 如何在R是否包含CSV时间数据?
• 如何获取每月事件" R
中的条形图

• How to create histogram in R with CSV time data?
• How to get a "events per month" bar plot in R

这些答案都使用相同的策略，并结合了plyr和ggplot2软件包.这应该可以帮助您入门.请注意，这些只是我自己在几分钟内发现的答案.可能还有很多东西可以找到，尤其是当您正在寻找更具体的问题时.

These answers all use the same strategy, combined with the plyr and ggplot2 package. This should get you started. Note that these are only answers of myself that I kind find in a couple of minutes. Probably there is much more to find, especially if you are looking for more specific questions.