在R中创建日历df
我目前正在创建一个日历df以加入到我的其他dfs，并最初以以下方式对其进行编码：在R中创建日历df,r,dplyr,lubridate,R,Dplyr,Lubridate,我目前正在创建一个日历df以加入到我的其他dfs，并最初以以下方式对其进行编码： Date <- seq(as.Date("2020-01-01"), as.Date("2021-12-31"), by="days") Calendar <- data.frame(Date) Calendar$DateNo <- format(Calendar$Date, format = "%d") Calen
Date <- seq(as.Date("2020-01-01"), as.Date("2021-12-31"), by="days")
Calendar <- data.frame(Date)
Calendar$DateNo <- format(Calendar$Date, format = "%d")
Calendar$NameDay <- format(Calendar$Date, format = "%A")
Calendar$MonthNo <- format(Calendar$Date, format = "%m")
Calendar$NameMonth <- format(Calendar$Date, format = "%B")
Calendar$NameMonthShort <- format(Calendar$Date, format = "%b")
Calendar$Week <- format(Calendar$Date, format = "%V")
Calendar$Year <- format(Calendar$Date, format = "%Y")
Calendar$Quarter <- quarter(Calendar$Date, with_year = F, fiscal_start = 7)
Calendar$Month_Year <-paste(Calendar$NameMonthShort,Calendar$Year,sep="-")
Calendar$Quarter_Year <-paste(Calendar$Quarter,Calendar$Year,sep="-")
Date通过包含abbr=FALSE
切换到month（）
可以轻松添加长月份名称
粘贴季度或月到年需要第二次变异，如下所示
编辑由于“粘贴”创建的是字符向量而不是因子，因此需要手动指定因子级别：
monthlevels = c(
'Jan-2020','Feb-2020','Mar-2020','Apr-2020','May-2020','Jun-2020',
'Jul-2020','Aug-2020','Sep-2020','Oct-2020','Nov-2020','Dec-2020',
'Jan-2021','Feb-2021','Mar-2021','Apr-2021','May-2021','Jun-2021',
'Jul-2021','Aug-2021','Sep-2021','Oct-2021','Nov-2021','Dec-2021')
quarterlevels = c('1-2020','2-2020','3-2020','4-2020','1-2021','2-2021','3-2021','4-2021')
Calendar %>%
mutate(
DateNo = day(Date),
NameDay = wday(Date,label = TRUE),
MonthNo = month(Date),
NameMonth = month(Date, label = TRUE, abbr=FALSE), ## added abbr=FALSE
NameMonthShort = month(Date, label = TRUE),
Week = week(Date),
Year = year(Date),
Quarter = quarter(Date, with_year = F, fiscal_start = 7)) %>%
## added second mutate() to paste fields created by the first mutate
mutate(
QuarterYear = factor(paste(Quarter, Year, sep='-'), levels=quarterlevels),
MonthYear = factor(paste(NameMonthShort,Year,sep="-"),levels=monthlevels
) %>% head()
返回：
Date DateNo NameDay MonthNo NameMonth NameMonthShort Week Year Quarter
1 2020-01-01 1 Wed 1 January Jan 1 2020 3
2 2020-01-02 2 Thu 1 January Jan 1 2020 3
3 2020-01-03 3 Fri 1 January Jan 1 2020 3
4 2020-01-04 4 Sat 1 January Jan 1 2020 3
5 2020-01-05 5 Sun 1 January Jan 1 2020 3
6 2020-01-06 6 Mon 1 January Jan 1 2020 3
QuarterYear MonthYear
1 3-2020 Jan-2020
2 3-2020 Jan-2020
3 3-2020 Jan-2020
4 3-2020 Jan-2020
5 3-2020 Jan-2020
6 3-2020 Jan-2020
如果使用内置的as.POSIXlt
，则不需要lubridate
，您可能会发现这会更容易。只需在序列上应用它，就会得到列表类型的格式
Date <- as.POSIXlt(seq(as.Date("2020-01-01"), as.Date("2020-06-30"), by="7 days"))
## Note: shortened for sake of brevity
由于存储格式的原因，需要进行一些较小的转换，以及一些辅助功能，如工作日
，季度
，和strftime
。此外，我们可以使用内置常量month.name
和month.abb
Calendar <- data.frame(Date,
DateNo=Date$mday,
NameDay=weekdays(Date),
MonthNo=Date$mon + 1,
NameMonth=month.name[Date$mon + 1],
NameMonthShort=month.abb[Date$mon + 1],
Week=strftime(Date, "%V"),
Year=1900 + Date$year,
Quarter=quarters(Date)
)
attr(Date, "names")
# [1] "sec" "min" "hour" "mday" "mon" "year" "wday" "yday" "isdst"
Calendar <- data.frame(Date,
DateNo=Date$mday,
NameDay=weekdays(Date),
MonthNo=Date$mon + 1,
NameMonth=month.name[Date$mon + 1],
NameMonthShort=month.abb[Date$mon + 1],
Week=strftime(Date, "%V"),
Year=1900 + Date$year,
Quarter=quarters(Date)
)
Calendar
# Date DateNo NameDay MonthNo NameMonth NameMonthShort Week Year Quarter
# 1 2020-01-01 1 Wednesday 1 January Jan 01 2020 Q1
# 2 2020-01-08 8 Wednesday 1 January Jan 02 2020 Q1
# 3 2020-01-15 15 Wednesday 1 January Jan 03 2020 Q1
# 4 2020-01-22 22 Wednesday 1 January Jan 04 2020 Q1
# 5 2020-01-29 29 Wednesday 1 January Jan 05 2020 Q1
# 6 2020-02-05 5 Wednesday 2 February Feb 06 2020 Q1
# 7 2020-02-12 12 Wednesday 2 February Feb 07 2020 Q1
# 8 2020-02-19 19 Wednesday 2 February Feb 08 2020 Q1
# 9 2020-02-26 26 Wednesday 2 February Feb 09 2020 Q1
# 10 2020-03-04 4 Wednesday 3 March Mar 10 2020 Q1
# 11 2020-03-11 11 Wednesday 3 March Mar 11 2020 Q1
# 12 2020-03-18 18 Wednesday 3 March Mar 12 2020 Q1
# 13 2020-03-25 25 Wednesday 3 March Mar 13 2020 Q1
# 14 2020-04-01 1 Wednesday 4 April Apr 14 2020 Q2
# 15 2020-04-08 8 Wednesday 4 April Apr 15 2020 Q2
# 16 2020-04-15 15 Wednesday 4 April Apr 16 2020 Q2
# 17 2020-04-22 22 Wednesday 4 April Apr 17 2020 Q2
# 18 2020-04-29 29 Wednesday 4 April Apr 18 2020 Q2
# 19 2020-05-06 6 Wednesday 5 May May 19 2020 Q2
# 20 2020-05-13 13 Wednesday 5 May May 20 2020 Q2
# 21 2020-05-20 20 Wednesday 5 May May 21 2020 Q2
# 22 2020-05-27 27 Wednesday 5 May May 22 2020 Q2
# 23 2020-06-03 3 Wednesday 6 June Jun 23 2020 Q2
# 24 2020-06-10 10 Wednesday 6 June Jun 24 2020 Q2
# 25 2020-06-17 17 Wednesday 6 June Jun 25 2020 Q2
# 26 2020-06-24 24 Wednesday 6 June Jun 26 2020 Q2