r - 如何在 reshape2 中使用 dcast 获得累积/累积的逐行总和

Question

在 RI 聚合数据（总和）中使用 reshape2 库中的 dcast

library('reshape2')

DF <- data.frame(Cohort=rep("", 9), Weeks=rep("", 9), myvalue=rep(0, 9), stringsAsFactors=FALSE )
DF[1, ] <- c("2012_30","0",0.02)
DF[2, ] <- c("2012_30","1",0.01)
DF[3, ] <- c("2012_30","2",0.1)
DF[4, ] <- c("2012_31","0",0.08)
DF[5, ] <- c("2012_31","1",0.0)
DF[6, ] <- c("2012_31","2",0.3)
DF[7, ] <- c("2012_32","0",0.26)
DF[8, ] <- c("2012_32","1",0.01)
DF[9, ] <- c("2012_32","2",0.01)

dcast(DF, Cohort ~ Weeks, value = myvalue, fill='')

这产生

Cohort   0    1    2      
2012_30  0.02 0.01 0.10
2012_31  0.08 0.00 0.30
2012_32  0.26 0.01 0.01
...

我希望能够获得这样的累积值：

Cohort   0    1    2      
2012_30  0.02 0.03 0.13
2012_31  0.08 0.00 0.38
2012_32  0.26 0.27 0.28
...

我试图在 reshape2 和原始 reshape 论文的 dcast 文档中找到 fun.aggregate 的示例

Answer 1

尝试ddply作为临时步骤：

DF$myvalue <- as.numeric( DF$myvalue )
library( plyr )
DF <- ddply( DF, .(Cohort), transform, CUMSUM = cumsum( myvalue ) )
DF <- dcast( DF, Cohort ~ Weeks, value = CUMSUM, fill='' )
DF
   Cohort    0    1    2
1 2012_30 0.02 0.03 0.13
2 2012_31 0.08 0.08 0.38
3 2012_32 0.26 0.27 0.28