将随机观察值的总和计算为 R 中每周的总和

发布于05月03日

我有一个随机的，有时不经常发生的事件的数据集，我想把它们算作每周的总和.由于随机性，它们不是线性的，所以到目前为止我try 过的其他例子不适用.

数据与此类似:


df_date <- data.frame( Name = c("Jim","Jim","Jim","Jim","Jim","Jim","Jim","Jim","Jim","Jim",
                                "Sue","Sue","Sue","Sue","Sue","Sue","Sue","Sue","Sue","Sue"),
                       Dates = c("2010-1-1", "2010-1-2", "2010-01-5","2010-01-17","2010-01-20",
                                 "2010-01-29","2010-02-6","2010-02-9","2010-02-16","2010-02-28",
                                 "2010-1-1", "2010-1-2", "2010-01-5","2010-01-17","2010-01-20",
                                 "2010-01-29","2010-02-6","2010-02-9","2010-02-16","2010-02-28"),
                       Event = c(1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1) )

我想做的是创建一个新表，其中包含日历年中每周的事件总数.

在这种情况下，产生如下内容:

Name   Week   Events
Jim    1      3
Sue    1      3
Jim    2      0
Sue    x ...  x 

and so on...

推荐答案

Update OP request for multiple years:

我们也可以使用lubridate中的isoweek，而不是week

OR:

我们可以将年份添加如下:

df_date %>% 
  as_tibble() %>% 
  mutate(Week = week(ymd(Dates))) %>% 
  mutate(Year = year(ymd(Dates))) %>% 
  count(Name, Year, Week)

我们可以使用lubridateSymd函数将Dates字符转换为日期格式后使用lubridateSWeek函数.

library(dplyr)
library(lubridate)
df_date %>% 
  as_tibble() %>% 
  mutate(Week = week(ymd(Dates))) %>% 
  count(Name, Week)

  Name   Week     n
   <chr> <dbl> <int>
 1 Jim       1     3
 2 Jim       3     2
 3 Jim       5     1
 4 Jim       6     2
 5 Jim       7     1
 6 Jim       9     1
 7 Sue       1     3
 8 Sue       3     2
 9 Sue       5     1
10 Sue       6     2
11 Sue       7     1
12 Sue       9     1