我有这样的开始/结束年份的租赁数据框架
region=c("a","b","c","d")
lease=c("x","y","z","k")
startyr=c(2000,2001,2003,2002)
endyr=c(2004,2004,2006,2005)
annualAmt=c(7000,8500,6000,5500)
df=data.frame(region,lease,startyr,endyr,annualAmt)
我想通过将数据框重塑为所需的输出来扩展年份:
region lease 2000 2001 2002 ... 2006
a x 7000 7000 7000 7000 7000 0 0
b y 0 8500 8500 8500 8500 0 0
逻辑是,如果租约涵盖2000-2004年,则其amt将计入2000,2001..2004 col
最好的方法是什么?如果编写循环,该如何命名新创建的year cols 2000-2006?还是应该使用申请?
这是一个替代方案,主要涉及基本的加法和减法:
Rows <- df$endyr - df$startyr # How many times to repeat rows?
df <- df[rep(rownames(df), Rows), ] # Repeat the rows
df$year <- df$startyr + sequence(Rows) - 1 # Add a new "year" variable
reshape(df, direction = "wide", # Reshape, long to wide
idvar = c("region", "lease"), # idvars are the first two cols
timevar = "year", # timevar is the new year col
drop = c("startyr", "endyr")) # and drop the start/endyr cols
# region lease annualAmt.2000 annualAmt.2001 annualAmt.2002
# 1 a x 7000 7000 7000
# 2 b y NA 8500 8500
# 3 c z NA NA NA
# 4 d k NA NA 5500
# annualAmt.2003 annualAmt.2004 annualAmt.2005
# 1 7000 NA NA
# 2 8500 NA NA
# 3 6000 6000 6000
# 4 5500 5500 NA
另外,您可以使用“ data.table”,如下所示:
library(data.table)
## Start with your original df
dt <- data.table(df)
dcast.data.table(
DT[, list(year = seq(startyr, endyr),
annualAmt),
by = list(region, lease)],
region + lease ~ year,
value.var = "annualAmt", fill = 0)
# region lease 2000 2001 2002 2003 2004 2005 2006
# 1: a x 7000 7000 7000 7000 7000 0 0
# 2: b y 0 8500 8500 8500 8500 0 0
# 3: c z 0 0 0 6000 6000 6000 6000
# 4: d k 0 0 5500 5500 5500 5500 0
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