"Dimnames" [2] length is not equal to array size when using corrplot function from matrix read from csv file
I want to read data from a csv file, save it as a matrix and use it for rendering.
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
Everything goes well. But then:
corrplot(data, method = 'color', addCoef.col="grey")
They say that:
Matrix error (unlist (value, recursive = FALSE, use.names = FALSE), nrow = nr,: length "dimnames" [2] is not equal to the size of the array
I don't know how to solve it.
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1 answer
corrplot
a matrix is required, i assume your data is a dataframe. Use instead as.matrix(data)
.
Example:
## 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")
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