以 2 周和 3 周为间隔的平均值

Question

假设我有 4 块地，我每小时测量每块地的温度、湿度、土壤 pH 值等。我可以通过 dplyr

计算每周平均值

 library(dplyr)
 my.dfA = group_by(my.df, plot, weeknumber)
 my.dfB = mutate(my.dfA, mean.temp = mean(temp), mean.pH = mean(pH))

如何获取两周平均值，然后是每个地块的三周平均值，等等？我不想要移动平均线；我想将第 13 周和第 14 周折叠成一个两周的周期，然后对第 15 周和第 16 周做同样的事情，依此类推。

# A tibble: 6 × 5
                 Date Temperature  Plot dayofyear weekofyear
               <dttm>       <dbl> <dbl>     <dbl>      <dbl>
1 2016-04-03 15:24:00        13.0     1        94         14
2 2016-04-03 15:39:00        13.0     1        94         14
3 2016-04-03 15:53:59        13.0     1        94         14
4 2016-04-03 16:09:00        13.5     1        94         14
5 2016-04-03 16:24:00        13.0     1        94         14
6 2016-04-03 16:38:59        13.0     1        94         14

Answer 1

我们可以使用 %/%

创建分组变量

n <- 2
my.df %>%
     group_by(Plot,  weekGrp = (weekofyear-1)%/% n + 1) %>%
     mutate(mean.temp = mean(Temperature))

将 'n' 的值更改为 3 会将 3 个相邻的 'weekofyear' 组合在一起。

注意：在 post 的 OP 数据中找不到 'pH' 列。

数据

my.df <- structure(list(Date = c("2016-04-03 15:24:00", "2016-04-03 15:39:00", 
"2016-04-03 15:53:59", "2016-04-03 16:09:00", "2016-04-03 16:24:00", 
"2016-04-03 16:38:59", "2016-04-03 15:24:00", "2016-04-03 15:39:00", 
"2016-04-03 15:53:59", "2016-04-03 16:09:00", "2016-04-03 16:24:00", 
"2016-04-03 16:38:59"), Temperature = c(13, 13, 12, 14.5, 13, 
13, 14, 13, 16, 13.5, 18, 19), Plot = c(1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L), dayofyear = c(94L, 94L, 94L, 94L, 94L, 
94L, 94L, 94L, 94L, 94L, 94L, 94L), weekofyear = c(13L, 13L, 
13L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 16L, 16L)), .Names = c("Date", 
"Temperature", "Plot", "dayofyear", "weekofyear"), class = "data.frame", 
row.names = c(NA, -12L))

以 2 周和 3 周为间隔的平均值

Average at 2 week and 3 week intervals

r

lubridate

dplyr

数据