Comments (2)
I will unlist all of the error messages and check for all.equal
. If they are all equal, I will simply print the error message to console. Often, people don't realise that all of them are in the return variable.
Note that this problem actually is in randomForest
package. The developer explains in October 2018:
My best guess is that at some point R converted the variable names to conform to its rules for symbol names (no spaces or dashes, or things like that—they get converted to dots). My suggestion is that you try not to use column names with those symbols to avoid such discrepancy. I will try and see if I can make randomForest() more accommodating with column names.
Could you send a request to [email protected] and ask for the problem to be fixed? I think I also got Mengbo at one time to e-mail and ask. Hopefully, if enough people badger Andy, he will use check.names = FALSE
when data.frame are created as ClassifyR does.
from classifyr.
One representative error message printed to console if all cross-validations have same error message in version 2.9.1.
from classifyr.
Related Issues (20)
- crossValidate doesn't recognise verbose argument HOT 1
- interfacePCA HOT 2
- Make CoxPH the default selection method for suvival HOT 2
- Survival Data Subscript Out of Bounds Error HOT 1
- crossValidate Error if nFeatures is Vector
- Multi-platform Precision Pathway HOT 1
- Integrate crissCrossValidate HOT 1
- First Cross-validation Example in Vignette Fails on Some Versions of MacOS HOT 4
- Write a Developer's Guide for crossValidate and its Multiview Methods HOT 1
- Issues when only 1 feature is inputted in crossValidate wrapper HOT 2
- Model Comparison Feature HOT 2
- performancePlot Automated Selection of Characteristic Chooses Non-Distinct-Valued One
- prevalTrainInterface Function Not Found Prevalication Error HOT 1
- Prevalidation Doesn't Record Chosen Features for More Than Two Assays HOT 1
- No vignette/examples for survival analysis HOT 3
- Cross validate doesn't match up assay row names to names of outcome vector. HOT 2
- Train function doesn't allow selectionMethod = "none" with coxNet. HOT 1
- Class list for CoxNet models, affecting the predict function. HOT 1
- Unclear Error if Data has Infinity Value HOT 1
- Results Same Even With Different Seed HOT 1
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