Partial Plot can't be produced from randomForest in R

Question

The model is constructed and all the variable importance plots can be produced. However, when I used partialPlot on continuous variable, for example purchase_value: partialPlot(rf, fraud_data_train, purchase_value, which.class = 1) the error is

Error in is.finite(x): default method not implemented for type 'list'

For the categorical variable(browser) the error is partialPlot(rf, fraud_data_train, browser, which.class = 1)

Error in FUN(X[[i]], ...) : 
  only defined on a data frame with all numeric variables

The data is available here and the code is as below:

rf = randomForest(y = fraud_data_train$class_factor, 
                  x = fraud_data_train[,-predictors_notinclude],
                  ntree = 30, mtry = 4, keep.forest = TRUE,
                  importance = TRUE, proximity = TRUE)
partialPlot(rf, fraud_data_train, purchase_value, which.class =1)

Update:

Here is the screenshot from my R studio console:

Update 2

Somehow the plot showed up in the notebook markdown..but still confused why it can't be output in the console

Answer 1

If your data is not in the form of a dataframe this will cause partialplot() to throw that error. Looking at the documentation for partialplot() it states that the data must be in the form of a dataframe:

pred.data
a data frame used for constructing the plot, usually the training data used to construct the random forest..

You can fix this by coercing the data to be a dataframe for example by using as.data.frame()

Here is an example using your data: partialPlot(rf, as.data.frame(fraud_data_train), purchase_value, which.class = 1).