calculated Correlation matrix as input to corrplot

Question

I have a table with already calculated coefficients and I would like to use corrplot to visualise it. this is the data enter image description here image and the structure of it is:

image but it prompts the following error: enter image description here image

enter image description here how can i format it to run it with corrplot?

Corrplot uses the output of

cor(data) a

s input,

Thank heaps in advance

cheers

I tried:

as.data.frame(datac) datac being the correlation matrix imported from csv.

as.matrix(datac)

lapply(datac, is.finite)
data3 <- read.csv("primary_vs_PDX.csv", header = T, colClasses = "numeric" )
data3 <- read.csv("primary_vs_PDX.csv", as.is = T)

I tried with mock values:

enter image description here

and it worked.

enter image description here

the problem is the structure of input files datac 9my file) vs df (mock).

I used datac on ggcorrplot and it worked, but would like to use corrplot

cheers,

carlos