r - 如何在 R 中创建年/学期格式的日期？

Question

我想按两个月、四个月或六个月的时间段在 R 中汇总动物园数据。这种类型的日期处理只有两个可用的选项，使用:

a) as.yearmon => 处理按月分组的每日数据

b) as.yearqtr => 处理按 3 个月固定组(jan-mar、apr-jun、jul-set 和 oct-dec)分组的每日数据。

一个最小的例子

library(zoo)        
# creating a vector of Dates 
dt = as.Date(c("2001-01-01","2001-01-02","2001-04-01","2001-05-01","2001-07-01","2001-10-01"),
             "%Y-%m-%d")
# the original dates        
dt
[1] "2001-01-01" "2001-01-02" "2001-04-01" "2001-05-01" "2001-07-01" "2001-10-01"

# conversion to monthly data
as.yearmon(dt)
[1] "jan 2001" "jan 2001" "abr 2001" "mai 2001" "jul 2001" "out 2001"

# conversion to quarterly data
as.yearqtr(dt)
[1] "2001 Q1" "2001 Q1" "2001 Q2" "2001 Q2" "2001 Q3" "2001 Q4"

set.seed(0)
# irregular time series
daily_db = zoo(matrix(rnorm(3 * length(dt)),
                    nrow = length(dt),
                    ncol = 3),
             order.by = dt)
daily_db                                                
2001-01-01  1.2629543 -0.928567035 -1.1476570
2001-01-02 -0.3262334 -0.294720447 -0.2894616
2001-04-01  1.3297993 -0.005767173 -0.2992151
2001-05-01  1.2724293  2.404653389 -0.4115108
2001-07-01  0.4146414  0.763593461  0.2522234
2001-10-01 -1.5399500 -0.799009249 -0.8919211

# data aggregated by month
aggregate(daily_db,as.yearmon,sum)
                 V1           V2         V3
jan 2001  0.9367209 -1.223287482 -1.4371186
abr 2001  1.3297993 -0.005767173 -0.2992151
mai 2001  1.2724293  2.404653389 -0.4115108
jul 2001  0.4146414  0.763593461  0.2522234
out 2001 -1.5399500 -0.799009249 -0.8919211

# data aggregated by quarter
aggregate(daily_db,as.yearqtr,sum)
                V1         V2         V3
2001 Q1  0.9367209 -1.2232875 -1.4371186
2001 Q2  2.6022286  2.3988862 -0.7107260
2001 Q3  0.4146414  0.7635935  0.2522234
2001 Q4 -1.5399500 -0.7990092 -0.8919211

我想定义一个函数:

as.yearperiod = function(x, period = 6) {...} # convert dates in semesters

这样使用:

# data aggregated by semester
aggregate(base_dados_diaria, as.yearperiod, period = 6, sum)

我期待这样的结果:

                V1         V2         V3
2001 S1  3.538950   1.175599  -2.147845
2001 S2 -1.125309  -0.035416  -0.639698

Answer 1

先生，我建议您使用lubridate包，处理自定义日期间隔。使用 floor_date 可以轻松完成您的任务，如下:

six_m_interval <- lubridate::floor_date( dt , "6 months" )
# [1] "2001-01-01" "2001-01-01" "2001-01-01" "2001-01-01" "2001-07-01" "2001-07-01"

aggregate( daily_db , six_m_interval , sum )
#                  V1          V2         V3
# 2001-01-01  3.538950  1.17559873 -2.1478445
# 2001-07-01 -1.125309 -0.03541579 -0.6396977