从 R 中多个列表中保存的矩阵对角线中提取元素
Extract elements from matrix diagonal saved in multiple lists in R
我正在尝试从保存为列表的多个对角线中获取不同的元素。我的数据看起来像这样:
res <- list()
res[[1]] <- matrix(c(0.04770856,0.02854005,0.02854005,0.03260190), nrow=2, ncol=2)
res[[2]] <- matrix(c(0.05436957,0.04887182,0.04887182, 0.10484454), nrow=2, ncol=2)
> res
[[1]]
[,1] [,2]
[1,] 0.04770856 0.02854005
[2,] 0.02854005 0.03260190
[[2]]
[,1] [,2]
[1,] 0.05436957 0.04887182
[2,] 0.04887182 0.10484454
> diag(res[[1]])
[1] 0.04770856 0.03260190
> diag(res[[2]])
[1] 0.05436957 0.10484454
我想将给定列表的每个对角线的第一个和第二个元素保存到类似于这样的向量中:
d.1st.el <- c(0.04770856, 0.05436957)
d.2nd.el <- c(0.03260190, 0.10484454)
我的问题是编写针对所有给定列表运行的函数并获取对角线。出于某种原因,当我使用 unlist() 提取给定级别的每个矩阵的值时,它并没有得到数字而是完整的矩阵。
有没有人有简单的解决办法?
sapply(res, diag)
[,1] [,2]
[1,] 0.04770856 0.05436957
[2,] 0.03260190 0.10484454
# or
lapply(res, diag)
[[1]]
[1] 0.04770856 0.03260190
[[2]]
[1] 0.05436957 0.10484454
如果您出于某种原因想要在全局环境中使用向量:
alld <- lapply(res, diag)
names(alld) <- sprintf("d.%d.el", 1:length(alld))
list2env(alld, globalenv())
分两步完成:
# Step 1 - Get the diagonals
all_diags <- sapply(res, function(x) diag(t(x)))
print(all_diags)
[,1] [,2]
[1,] 0.04770856 0.05436957
[2,] 0.03260190 0.10484454
# Step 2 - Append to vectors
d.1st.el <- all_diags[1,]
d.2nd.el <- all_diags[2,]
我正在尝试从保存为列表的多个对角线中获取不同的元素。我的数据看起来像这样:
res <- list()
res[[1]] <- matrix(c(0.04770856,0.02854005,0.02854005,0.03260190), nrow=2, ncol=2)
res[[2]] <- matrix(c(0.05436957,0.04887182,0.04887182, 0.10484454), nrow=2, ncol=2)
> res
[[1]]
[,1] [,2]
[1,] 0.04770856 0.02854005
[2,] 0.02854005 0.03260190
[[2]]
[,1] [,2]
[1,] 0.05436957 0.04887182
[2,] 0.04887182 0.10484454
> diag(res[[1]])
[1] 0.04770856 0.03260190
> diag(res[[2]])
[1] 0.05436957 0.10484454
我想将给定列表的每个对角线的第一个和第二个元素保存到类似于这样的向量中:
d.1st.el <- c(0.04770856, 0.05436957)
d.2nd.el <- c(0.03260190, 0.10484454)
我的问题是编写针对所有给定列表运行的函数并获取对角线。出于某种原因,当我使用 unlist() 提取给定级别的每个矩阵的值时,它并没有得到数字而是完整的矩阵。
有没有人有简单的解决办法?
sapply(res, diag)
[,1] [,2]
[1,] 0.04770856 0.05436957
[2,] 0.03260190 0.10484454
# or
lapply(res, diag)
[[1]]
[1] 0.04770856 0.03260190
[[2]]
[1] 0.05436957 0.10484454
如果您出于某种原因想要在全局环境中使用向量:
alld <- lapply(res, diag)
names(alld) <- sprintf("d.%d.el", 1:length(alld))
list2env(alld, globalenv())
分两步完成:
# Step 1 - Get the diagonals
all_diags <- sapply(res, function(x) diag(t(x)))
print(all_diags)
[,1] [,2]
[1,] 0.04770856 0.05436957
[2,] 0.03260190 0.10484454
# Step 2 - Append to vectors
d.1st.el <- all_diags[1,]
d.2nd.el <- all_diags[2,]