r - 使用从 csv 文件读取的矩阵中的 corrplot 函数时， 'dimnames' [2] 的长度不等于数组范围

Question

我想从 csv 文件中读取数据，将其保存为矩阵并将其用于可视化。

data<-read.table("Desktop/Decision_Tree/cor_test_.csv",header = F,sep = ",")

data
V1    V2    V3   V4  V5     V6
1  1.00  0.00  0.00 0.00  0.00  0
2  0.11  1.00  0.00 0.00  0.00  0
3  0.12  0.03  1.00 0.00  0.00  0
4 -0.04  0.54  0.32 1.00  0.00  0
5 -0.12  0.57 -0.09 0.26  1.00  0
6  0.21 -0.04  0.24 0.18 -0.21  1

一切顺利。但是之后:

corrplot(data, method = 'color', addCoef.col="grey")

据说:

Error in matrix(unlist(value, recursive = FALSE, use.names = FALSE), nrow = nr, : length of 'dimnames' [2] not equal to array extent

我不知道如何解决。

Answer 1

corrplot需要一个矩阵，我假设你的数据是一个数据框。使用 as.matrix(data)反而。

例子:

## Your data as data frame:
data <- structure(list(V1 = c(1, 0.11, 0.12, -0.04, -0.12, 0.21), V2 = c(0, 
                    1, 0.03, 0.54, 0.57, -0.04), V3 = c(0, 0, 1, 0.32, -0.09, 0.24
                ), V4 = c(0, 0, 0, 1, 0.26, 0.18), V5 = c(0, 0, 0, 0, 1, -0.21
                ), V6 = c(0, 0, 0, 0, 0, 1)), .Names = c("V1", "V2", "V3", "V4", 
                "V5", "V6"), row.names = c(NA, -6L), class = "data.frame")

## Using the data frame results in an error:
corrplot::corrplot(data, method = 'color', addCoef.col = "grey")
# Error in matrix(unlist(value, recursive = FALSE, use.names = FALSE), nrow = nr,  : 
#   length of 'dimnames' [2] not equal to array extent

## Using the matrix works:
corrplot::corrplot(as.matrix(data), method = 'color', addCoef.col = "grey")