[英]Calculating the correlation between various columns of a matrix in R
I have the following matrix mat
in R:我在 R 中有以下矩阵
mat
:
x y z
rowA -1 1 2
rowB -1 -2 -1
rowC 2 1 -1
How do I calculate the correlation between various columns of the matrix (say, corr(x, y)
, corr(y, z)
, corr(x, z)
), rather than separating the columns into vectors?如何计算矩阵各列(例如
corr(x, y)
、 corr(y, z)
、 corr(x, z)
)之间的相关性,而不是将列分成向量?
you can do:你可以做:
#gives pairwise
COR = cor(M)
# to get 1 vs 2, 1 vs 3 and 2 vs 3
COR[upper.tri(COR)]
We can use combn
to create combination of column names taking 2 at a time, subset the combination from the matrix and then calculate the correlation between them.我们可以使用
combn
创建一次取 2 个列名的组合,从矩阵中子集组合,然后计算它们之间的相关性。
combn(colnames(mat), 2, function(x) cor(mat[, x[1]], mat[, x[2]]))
#[1] 0.5 -0.5 0.5
data数据
mat <- structure(c(-1L, -1L, 2L, 1L, -2L, 1L, 2L, -1L, -1L), .Dim = c(3L,
3L), .Dimnames = list(c("rowA", "rowB", "rowC"), c("x", "y", "z")))
Base R:底座 R:
cor_df <- data.frame(vars = row.names(cor(mat)), cor(mat), row.names = NULL)
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