# new_values_func breaks when x contains new values Code new_values_func(x, allowed_values[-3], colname = "MacGyver") Condition Error in `new_values_func()`: ! MacGyver contains the new value(s): c # new_values_func correctly prints multiple new values Code new_values_func(x, allowed_values[-c(2:3)], colname = "MacGyver") Condition Error in `new_values_func()`: ! MacGyver contains the new value(s): b,c # new_values_func breaks when NA is new value and ignore_NA is FALSE Code new_values_func(x_na, allowed_values, ignore_NA = FALSE, colname = "MacGyver") Condition Error in `new_values_func()`: ! MacGyver contains the new value(s): NA # new_values_func correctly prints multiple new values with NA Code new_values_func(x_na, allowed_values[-3], ignore_NA = FALSE, colname = "MacGyver") Condition Error in `new_values_func()`: ! MacGyver contains the new value(s): c,NA # new_values_func correctly prints only non na-values when also NA as new value and ignore_NA is TRUE Code new_values_func(x_na, allowed_values[-3], ignore_NA = TRUE, colname = "MacGyver") Condition Error in `new_values_func()`: ! MacGyver contains the new value(s): c # check_new_values breaks with new values Code recipe(x1) %>% check_new_values(a) %>% prep() %>% bake(x2[1:4, , drop = FALSE]) Condition Error in `new_values_func()`: ! a contains the new value(s): d --- Code recipe(x1) %>% check_new_values(a) %>% prep() %>% bake(x2) Condition Error in `new_values_func()`: ! a contains the new value(s): d,e # check_new_values ignores NA by default Code recipe(x1) %>% check_new_values(a) %>% prep() %>% bake(x2) Condition Error in `new_values_func()`: ! a contains the new value(s): d # check_new_values not ignoring NA argument Code recipe(x1) %>% check_new_values(a, ignore_NA = FALSE) %>% prep() %>% bake(x2[-4, , drop = FALSE]) Condition Error in `new_values_func()`: ! a contains the new value(s): NA --- Code recipe(x1) %>% check_new_values(a, ignore_NA = FALSE) %>% prep() %>% bake(x2) Condition Error in `new_values_func()`: ! a contains the new value(s): d,NA # check_new_values works on doubles Code recipe(x1) %>% check_new_values(a) %>% prep() %>% bake(x2) Condition Error in `new_values_func()`: ! a contains the new value(s): 1.3 # check_new_values works on integers Code recipe(x1) %>% check_new_values(a) %>% prep() %>% bake(x2) Condition Error in `new_values_func()`: ! a contains the new value(s): 3 # check_new_values works on factors Code recipe(x1) %>% check_new_values(a) %>% prep() %>% bake(x2) Condition Error in `new_values_func()`: ! a contains the new value(s): c # check_new_values works on characters Code recipe(x1) %>% check_new_values(a) %>% prep() %>% bake(x2) Condition Error in `new_values_func()`: ! a contains the new value(s): c # check_new_values works on logicals Code recipe(x1) %>% check_new_values(a) %>% prep() %>% bake(x2) Condition Error in `new_values_func()`: ! a contains the new value(s): FALSE # empty printing Code rec Output Recipe Inputs: role #variables outcome 1 predictor 10 Operations: Checking no new_values for <none> --- Code rec Output Recipe Inputs: role #variables outcome 1 predictor 10 Training data contained 32 data points and no missing data. Operations: Checking no new_values for <none> [trained]
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