zoo

I have two multivariate time series x and y, both covering approximately the same range in time (one starts two years before the other, but they end on the same date). Both series have missing observations in the form of empty columns next to the date column, and also in the sense that one of the series has several dates that are not found in the other, and vice versa. I would like to create a data frame (or similar) with a column that lists all the dates found in x OR y, without duplicate dates. For each date (row), I would like to horizontally stack the observations from x next to the

In the zoo package there is a function called rollmean, which enables you to make moving averages. The rollmean(x,3) will take the previous, current and next value (ie 4, 6 and 2) in the table below. This is shown in the second column. x rollmean ma3 4 6 4.0 2 4.3 5 3.0 4.0 2 6.3 4.3 12 6.0 3.0 4 6.0 6.3 2 6.0 I would like to get the same job done, but by averaging out the previous 3 values in the fourth row. This is displayed in the third column. Can anybody tell me the name of the function that will help to accomplish this? w_i_l_l I struggled searching for a simple function for moving

I am running rolling regressions in R, using with the data stored in a data.table . I have a working version, however it feels like a hack -- I am really using what i know from the zoo package, and none of the magic in data.table ... thus, it feels slower than it ought to be. Incorporating Joshua's suggestion - below - there is a speedup of ~12x by using lm.fit rather than lm . (revised) Example code: require(zoo) require(data.table) require(rbenchmark) set.seed(1) tt <- seq(as.Date("2011-01-01"), as.Date("2012-01-01"), by="day") px <- rnorm(366, 95, 1) DT <- data.table(period=tt, pvec=px) dtt

I have an irregular time-series (with DateTime and RainfallValue) in a csv file C:\SampleData.csv : DateTime,RainInches 1/6/2000 11:59,0 1/6/2000 23:59,0.01 1/7/2000 11:59,0 1/13/2000 23:59,0 1/14/2000 0:00,0 1/14/2000 23:59,0 4/14/2000 3:07,0.01 4/14/2000 3:12,0.03 4/14/2000 3:19,0.01 12/31/2001 22:44,0 12/31/2001 22:59,0.07 12/31/2001 23:14,0 12/31/2001 23:29,0 12/31/2001 23:44,0.01 12/31/2001 23:59,0.01 Note: The irregular time-steps could be 1 min, 15 min, 1 hour, etc. Also, there could be multiple observations in a desired 15-min interval. I am trying to create a regular 15-minute time

redis学习 NoSQL 学名（not only sql） 特点： 存储结构与mysql这一种关系型数据库完全不同，nosql存储的是KV形式 nosql有很多产品，都有自己的api和语法，以及业务场景 产品种类： Mongodb redis Hbase hadoop Nosql和sql的区别 应用场景不同，sql支持关系复杂的数据查询，nosql反之 sql支持事务性，nosql不支持 redis特性 Redis 是一个开源（BSD许可）的，内存中的数据结构存储系统，它可以用作数据库、缓存和消息中间件redis是c语言编写的，支持数据持久化，是key-value类型数据库。应用在缓存，队列系统中redis支持数据备份，也就是master-slave模式 redis优势 性能高，读取速度10万次每秒 写入速度8万次每秒 所有操作支持原子性用作缓存数据库，数据放在内存中替代某些场景下的mysql，如社交类app大型系统中，可以存储session信息，购物车订单 yum安装redis 1.yum安装 #前提得配置好阿里云yum源，epel源 #查看是否有redis包 yum list redis#安装redisyum install redis -y#安装好，启动redissystemctl start redis 2.检测redis是否工作 redis-cli #redis