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fix error Error in newDist$sample ( 1 0 ^ 5 ) : Result of formula evaluation is not numeric. Execution halted in following code: #

fix error Error in newDist$sample(10^5) :
Result of formula evaluation is not numeric.
Execution halted in following code:
# Define the randomVariate class
randomVariate <- function(distFormula, defs){
# Validate input arguments
stopifnot(is.list(defs))
# Define the S3 class object
dist <- list(formula = distFormula, definitions = defs)
# Define the sample function
dist$sample <- function(n){
# Evaluate the formula using the provided definitions
result <- sapply(defs, function(def) eval(distFormula, envir = c(defs, list(x = def)), enclos = parent.frame()))
# Ensure the result is a numeric vector
if (!is.numeric(result)){
stop("Result of formula evaluation is not numeric.")
}
return(result)
}
# Define the print method
print.randomVariate <- function(obj){
cat("Formula:", as.character(obj$formula),"
Definitions:
")
for (key in names(obj$definitions)){
cat(key,":", as.character(obj$definitions[[key]]),"
")
}
}
# Return the object
class(dist)<- c("randomVariate", "function")
return(dist)
}
# Example usage
# Define a new random variable
newDist <- randomVariate(distFormula = ~x^2, defs = list(x = rnorm(10^5)))
# Generate a random sample
sample1<- newDist$sample(10^5)
# Plot a histogram
hist(sample1, breaks = "Scott", probability = TRUE, col = rgb(1,0,1,0.2), density =20, angle =45)
lines(density(sample1, adjust =5), col = rgb(1,0,1,1))

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