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I have been enjoying learning Shiny and R programming, and have appreciated your YouTube videos, and I am struggling with episodes 2-4 (and the associated Code on your github) and I'm not sure where to go to remedy the issue.
In each of the code files provided, I attempt to Run the code and get the following errors:
Error in y - ymean : non-numeric argument to binary operator
In addition: Warning messages:
1: In randomForest.default(m, y, ...) :
The response has five or fewer unique values. Are you sure you want to do regression?
2: In mean.default(y) : argument is not numeric or logical: returning NA
Do you know where I might be able to go, or what resources there are, for me to remedy these errors so that I can continue to learn and apply the knowledge you've shared on these tutorials? So far, I haven't been able to get very far due to these persistent errors spanning each of the R files.
Your help would be greatly appreciated!
Best regards,
Kolbi
The text was updated successfully, but these errors were encountered:
Dear @dataprofessor,
I have been enjoying learning Shiny and R programming, and have appreciated your YouTube videos, and I am struggling with episodes 2-4 (and the associated Code on your github) and I'm not sure where to go to remedy the issue.
In each of the code files provided, I attempt to Run the code and get the following errors:
Error in y - ymean : non-numeric argument to binary operator
In addition: Warning messages:
1: In randomForest.default(m, y, ...) :
The response has five or fewer unique values. Are you sure you want to do regression?
2: In mean.default(y) : argument is not numeric or logical: returning NA
Do you know where I might be able to go, or what resources there are, for me to remedy these errors so that I can continue to learn and apply the knowledge you've shared on these tutorials? So far, I haven't been able to get very far due to these persistent errors spanning each of the R files.
Your help would be greatly appreciated!
Best regards,
Kolbi
The text was updated successfully, but these errors were encountered: