Question

我有这个df：

structure(list(YEAR = c("2007", "2007", "2007", "2008", "2008", 
"2008", "2008", "2008", "2008", "2008"), MONTH = c("12", "10", 
"11", "01", "03", "05", "06", "08", "09", "10"), TOTAL = c(85055988L, 
21567576L, 82763640L, 91007916L, 93936288L, 99646750L, 90091044L, 
98811936L, 96888876L, 100909236L)), .Names = c("YEAR", "MONTH", 
"TOTAL"), row.names = c("24801", "33863", "34055", "24973", "25046", 
"25295", "25384", "25541", "25861", "27319"), class = "data.frame")

我想按如下方式组织这个数据框：

YEAR JAN  FEB  MARCH .... DEC
2009 TOTAL VALUE FOR EACH month goes to each corresponding cells.

我是如何在R中轻松完成此任务的？

Answer 1

dcast和xtabs是需要考虑的选项之一：

xtabs(TOTAL ~ YEAR + MONTH, df)
#       MONTH
# YEAR          01        03        05        06        08        09        10        11        12
#   2007         0         0         0         0         0         0  21567576  82763640  85055988
#   2008  91007916  93936288  99646750  90091044  98811936  96888876 100909236         0         0

library(reshape2)
dcast(df, YEAR ~ MONTH, value.var="TOTAL", fun.aggregate=sum)
#   YEAR       01       03       05       06       08       09        10       11       12
# 1 2007        0        0        0        0        0        0  21567576 82763640 85055988
# 2 2008 91007916 93936288 99646750 90091044 98811936 96888876 100909236        0        0

你如何重组R中的细胞

1 个答案: