data.table 的矩阵运算,规格不正确?
Matrix operation with data.table, incorrect specification?
我想将 dcast.data.table
与 as.matrix
一起使用,就像我将它与 dcast
一起使用一样,但我未能获得可比较的结果。如果有任何建议,我将不胜感激。
library(reshape2)
library(data.table)
data(ChickWeight)
# this returns the correct dimension:
> as.matrix(dcast(ChickWeight, weight ~ Diet, value.var = "Time")[,-1])
Aggregation function missing: defaulting to length
1 2 3 4
[1,] 1 0 0 0
[2,] 2 3 2 1
[3,] 1 2 0 2
.....
# this doesn't
> as.matrix(dcast.data.table(setDT(ChickWeight), weight ~ Diet, value.var = "Time")[,-1])
Aggregate function missing, defaulting to 'length'
[,1]
[1,] -1
在 data.table
的当前 CRAN 版本中,以下是可以的:
as.matrix(dcast.data.table(setDT(ChickWeight), weight ~ Diet,
value.var = "Time")[,-1])
我想将 dcast.data.table
与 as.matrix
一起使用,就像我将它与 dcast
一起使用一样,但我未能获得可比较的结果。如果有任何建议,我将不胜感激。
library(reshape2)
library(data.table)
data(ChickWeight)
# this returns the correct dimension:
> as.matrix(dcast(ChickWeight, weight ~ Diet, value.var = "Time")[,-1])
Aggregation function missing: defaulting to length
1 2 3 4
[1,] 1 0 0 0
[2,] 2 3 2 1
[3,] 1 2 0 2
.....
# this doesn't
> as.matrix(dcast.data.table(setDT(ChickWeight), weight ~ Diet, value.var = "Time")[,-1])
Aggregate function missing, defaulting to 'length'
[,1]
[1,] -1
在 data.table
的当前 CRAN 版本中,以下是可以的:
as.matrix(dcast.data.table(setDT(ChickWeight), weight ~ Diet,
value.var = "Time")[,-1])