使用 Reshape Cast
Using Reshape Cast
我正在尝试通过以下方式重塑示例数据框。
df<-data.frame(market = c("a","b","c","a","b","c"),companyName = c("foo","foo","foo", "bar","bar","bar"), val = seq(1,6))
require(reshape)
dfNew <- cast(df,market ~ companyName+companyName)
生成:
market company 1 company 2
1 a 1 4
2 b 2 5
3 c 3 6
但是我得到这个错误:
Using val as value column. Use the value argument to cast to override this choice
Error in `[.data.frame`(data, , variables, drop = FALSE) :
undefined columns selected
reshape
和 reshape2
此时都是已弃用的包。如果您使用 Hadley 的最新版本,tidyr
:
spread(df, key = companyName, value = val)
market bar foo
1 a 4 1
2 b 5 2
3 c 6 3
我正在尝试通过以下方式重塑示例数据框。
df<-data.frame(market = c("a","b","c","a","b","c"),companyName = c("foo","foo","foo", "bar","bar","bar"), val = seq(1,6))
require(reshape)
dfNew <- cast(df,market ~ companyName+companyName)
生成:
market company 1 company 2
1 a 1 4
2 b 2 5
3 c 3 6
但是我得到这个错误:
Using val as value column. Use the value argument to cast to override this choice
Error in `[.data.frame`(data, , variables, drop = FALSE) :
undefined columns selected
reshape
和 reshape2
此时都是已弃用的包。如果您使用 Hadley 的最新版本,tidyr
:
spread(df, key = companyName, value = val)
market bar foo
1 a 4 1
2 b 5 2
3 c 6 3