从 r 中的向量创建一个复杂的矩阵

Create a complicated matrix from vector in r

我有 4 个人群的样本量向量:3 2 1 4 总计 10 个个体。我需要可以动态(因此可以在不同情况下使用)的代码制作一个由 1 和 0 组成的矩阵,其中有 10 行和 4 列,其中有 3 个 1,然后该列的其余部分为 0,然后下一列有 3 个 0,然后是 2 个 1,然后其余的 0 等等,如下所示:

1 0 0 0
1 0 0 0
1 0 0 0
0 1 0 0
0 1 0 0
0 0 1 0
0 0 0 1
0 0 0 1
0 0 0 1
0 0 0 1

输入:

nSamples <- c(3,2,1,4)

您可以使用 model.matrix

创建设计矩阵
f_nSamples <- factor(rep(nSamples, nSamples), orderd=TRUE)
model.matrix(~f_nSamples-1)
##    f_nSamples1 f_nSamples2 f_nSamples3 f_nSamples4
## 1            1           0           0           0
## 2            1           0           0           0
## 3            1           0           0           0
## 4            0           1           0           0
## 5            0           1           0           0
## 6            0           0           1           0
## 7            0           0           0           1
## 8            0           0           0           1
## 9            0           0           0           1
## 10           0           0           0           1
## attr(,"assign")
## [1] 1 1 1 1
## attr(,"contrasts")
## attr(,"contrasts")$f_nSamples
## [1] "contr.treatment"

这是一种可能的两步法。

# create a matrix of zeros first
m <- matrix(0L, ncol = length(nSamples), nrow = sum(nSamples))
# then replace relevant 0s with 1s:
m[cbind(1:nrow(m), rep(seq_along(nSamples), nSamples))] <- 1L
m
#      [,1] [,2] [,3] [,4]
# [1,]    1    0    0    0
# [2,]    1    0    0    0
# [3,]    1    0    0    0
# [4,]    0    1    0    0
# [5,]    0    1    0    0
# [6,]    0    0    1    0
# [7,]    0    0    0    1
# [8,]    0    0    0    1
# [9,]    0    0    0    1
# [10,]   0    0    0    1

如果你愿意,"trick" 是

rep(seq_along(nSamples), nSamples)
#[1] 1 1 1 2 2 3 4 4 4 4

这里是单行sparseMatrix

library(Matrix)
m1 <- sparseMatrix(i = seq(sum(nSamples)), j = rep(seq_along(nSamples), nSamples), x = 1)
as.matrix(m1)
#      [,1] [,2] [,3] [,4]
#[1,]    1    0    0    0
#[2,]    1    0    0    0
#[3,]    1    0    0    0
#[4,]    0    1    0    0
#[5,]    0    1    0    0
#[6,]    0    0    1    0
#[7,]    0    0    0    1
#[8,]    0    0    0    1
#[9,]    0    0    0    1
#[10,]   0    0    0    1