Dear all,
When I run any ENMevaluate function, I got the error below " 1%Error in data.frame(auc.train = auc.train, cbi.train = cbi.train) : arguments imply differing number of rows: 1, 0". I have already used the codes for other projects. Layers and occurrence records well-performed in the maxent jar file. What am I missing? Thank you in advance.
Best greets, Kerim
> enmeval_rcv10 <- ENMevaluate(occs = occs, envs = envs, algorithm = 'maxnet', bg = bg,
+ partition.settings = list(kfolds=10), partitions = 'randomkfold',
+ tune.args = tune.args)
*** Running initial checks... ***
* Removed 102 occurrence points with NA predictor variable values.
* Clamping predictor variable rasters...
* Model evaluations with random 10-fold cross validation...
*** Running ENMeval v2.0.0 with maxnet from maxnet package v0.1.4 ***
|= | 1%Error in data.frame(auc.train = auc.train, cbi.train = cbi.train) :
arguments imply differing number of rows: 1, 0