[英]Convert a “loadings” object to a dataframe (R)
I am trying to convert an object of type "loadings" to a dataframe in R. However, my attempts to coerce it via as_tibble() or as.data.frame() have not worked. 我正在尝试将类型为“ loadings”的对象转换为R中的数据框。但是,我尝试通过as_tibble()或as.data.frame()强制它。 Here is the code: 这是代码:
iris_pca <- prcomp(iris[1:4], center = TRUE, scale. = TRUE)
iris_pca$rotation[,1:2] %>%
varimax() %>%
.$loadings
This prints out: 打印输出:
Loadings:
PC1 PC2
Sepal.Length 0.596 -0.243
Sepal.Width -0.961
Petal.Length 0.570 0.114
Petal.Width 0.565
PC1 PC2
SS loadings 1.00 1.00
Proportion Var 0.25 0.25
Cumulative Var 0.25 0.50
How can I get this data into a dataframe? 如何将这些数据放入数据框?
From the "loadings"
object extract the values as numeric. 从"loadings"
对象中,将值提取为数字。 Coerce them into a matrix. 将它们胁迫成矩阵。 Needed dimensions and names you will find within str(l)
. 您可以在str(l)
找到所需的尺寸和名称。
data.frame(matrix(as.numeric(l), attributes(l)$dim, dimnames=attributes(l)$dimnames))
# PC1 PC2
# Sepal.Length 0.59593180 -0.24252635
# Sepal.Width -0.04181096 -0.96087188
# Petal.Length 0.56955777 0.11438157
# Petal.Width 0.56455387 0.06944826
Data 数据
iris_pca <- prcomp(iris[1:4], center=TRUE, scale.=TRUE)
l <- varimax(iris_pca$rotation[, 1:2])$loadings
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