我有以下数据帧df:
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-961L))
在变量Freq中，我们发现特定事件发生的次数。我想按月统计这些数字，即按月合计变量Freq的所有条目。我尝试使用以下代码：
library(lubridate)
aggregate(Freq~month(x), data = n_occur, sum)
但没有得到想要的结果：
month(x) Freq
1 1 317257
2 2 404837
3 3 373429
4 4 301919
5 5 339101
6 6 315882
7 7 324160
8 8 406973
9 9 243593
10 10 326444
11 11 204803
12 12 318932
我想考虑一下年份，例如2019年11月、2019年12月等等。
我们可以提取year, month作为分组变量，得到sum
library(dplyr)
library(lubridate)
n_occur %>%
group_by(x = format(ymd(x), '%B %Y')) %>%
summarise(Freq = sum(Freq))
或者从zoo转换为yearmon类，通过'x'得到'Freq'的sum
library(zoo)
n_occur %>%
group_by(x = as.yearmon(x)) %>%
summarise(Freq = sum(Freq))
# A tibble: 34 × 2
x Freq
<yearmon> <int>
1 Nov 2019 1733
2 Dec 2019 137050
3 Jan 2020 114323
4 Feb 2020 115832
5 Mar 2020 51688
6 Apr 2020 17321
7 May 2020 96916
8 Jun 2020 76297
9 Jul 2020 85132
10 Aug 2020 120480
# … with 24 more rows