wol*_*oor 7 r sum matrix apply
这对于标题来说是一个很难的问题,所以编辑很受欢迎.数据如下所示:
mat =
[,1]
[1,] 9.586352e-04
[2,] NA
[3,] 2.605841e-03
[4,] 7.868957e-05
[5,] 1.000000e+00
[6,] NA
[7,] 8.208500e-02
[8,] 2.605841e-03
[9,] 7.868957e-05
[10,] 1.000000e+00
[11,] 9.586352e-04
[12,] 8.208500e-02
[13,] 2.605841e-03
[14,] 7.868957e-05
[15,] 1.000000e+00
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我想总计每5个元素,所以因为有15个,我返回的向量的长度应该是3.(15/3).因此,例如,只计算NA为0.
我该怎么做呢?
我也想忽略NA
m <- matrix(1:15, ncol = 1)
m[cbind(c(3,7),c(1, 1))] <- NA
library(zoo)
rollapply(m, sum, width = 5, by = 5, na.rm = TRUE)
[,1]
[1,] 12
[2,] 33
[3,] 65
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你可以用 tapply()
mat <- matrix(c(1, 2, NA, 4:6, NA, 8:15))
## set up a grouping vector
grp <- rep(1:(nrow(mat)/5), each = 5)
## compute group sums
tapply(mat, grp, sum, na.rm = TRUE)
# 1 2 3
# 12 33 65
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低效率的选择涉及到split()与vapply()
vapply(split(mat, grp), sum, 1, na.rm = TRUE)
# 1 2 3
# 12 33 65
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这是理想的?rowsum,应该很快
使用RStudent的数据
rowsum(m, rep(1:3, each=5), na.rm=TRUE)
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第二个参数group定义了应用总和的行.更一般地说,可以定义组参数rep(1:nrow(m), each=5, length=nrow(m))(如果应用于向量nrow,length则为sub )