Error in neurons[[i]] %*% weights[[i]] : requires numeric/complex matrix/vector arguments

[BERDDIS22]

Anyone can slove error for me
#install packages
install.packages("neuralnet")
library("neuralnet")
#data source
setwd("E:/r studio")
mydata=read.csv("welldata3.csv",sep= ";" , header= TRUE,)
str(mydata)
mydata
attach(mydata)
names(mydata)
#split the data for training and testing
index = sample(1:nrow(mydata), round(0.70*nrow(mydata)))
train_data<- data.frame(mydata[index,])
test_data<- data.frame(mydata[-index,])
View(train_data)
str(train_data)
numbers <- as.numeric(X,X.1, X.2, X.3,X.4,X.6,X.5,X.7,X.8,X.9,X.10)
nn <-neuralnet(X~X.1+X.2+X.3+X.4+X.5+X.6+X.7+X.8+X.9+X.10, data = train_data, hidden = c(10), linear.output = FALSE,threshold = 0.01)
plot(nn)
garson(nn)

[nirgrahamuk]

The implication is that your data 'mydata' that you read in from welldata3.csv is not interpreted as containingcolumns which are numeric, and so wont be suitable to fit a neuralnet model on.

[BERDDIS22]

HOW I CAN SLOVE IT PLEASE

[nirgrahamuk]

Dont panic.
If you want help in the specific details of your situation, you would best make some effort to provide sample data that represents what you are working with.

Look here for a simple guide on how to do that

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…