我有一个dataframe
包含日期的date
类型。我想根据每个月将其划分dataframe
为n
不同的数据框(df1, df2, ......,dfn
),这样我就可以分别对每个月进行进一步的处理。值得注意的是,不同年份的同一个月会有所不同。循环会很好,因为可能有无限的日期。请给我一些建议。我不知道该怎么办。
dates <- as.Date(c("2015-05-01", "2015-05-15","2016-05-01", "2016-05-15","2016-06-02", "2016-06-12"))
names <- c("Mr A", "Ms B", "", "Ms C", "Mr K", "Mr S")
comments <- c("first comment", "", "third comment", "fourth comment", "fifth comment", "sixth comment")
like <- as.integer(c(2,4,0,6,0,3))
df <- data.frame(dates, names, comments, like, stringsAsFactors = FALSE)
## classification according to month, for each particular year
# df[order(as.Date(df$dates, format="%Y-%m-%d")),] # it sorts dataframe, not what I need
# df1 <- subset(df, as.Date(dates) < as.Date("2015-05-31"))
# print(df1)
# df2 <- subset(df, as.Date(dates)<as.Date("2016-05-31"))
# print(df2)
# df3 <- subset(df, as.Date(dates) < as.Date("2016-06-01"))
# print(df3)
例如,首先,df1应该像这样,
dates names comments like
1 2015-05-01 Mr A first comment 2
2 2015-05-15 Ms B 4
像这样吗?
library(zoo)
split(df,as.yearmon(df$dates))
$`Mai 2015`
dates names comments like
1 2015-05-01 Mr A first comment 2
2 2015-05-15 Ms B 4
$`Mai 2016`
dates names comments like
3 2016-05-01 third comment 0
4 2016-05-15 Ms C fourth comment 6
$`Jun 2016`
dates names comments like
5 2016-06-02 Mr K fifth comment 0
6 2016-06-12 Mr S sixth comment 3
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