Selecting subsets of each dataset in a list in R - r

Question

After using kfold from the dismo package, I am attempting to select a subset of the groups that this function makes from different datasets in a list in R. In an individual datset, this is easy:
#With an individual dataset:
library(dismo)
data_car <- mtcars
group_presence <- kfold(x = data_car, k = 5) # kfold is in dismo package
# Separate observations into training and testing groups:
presence_train <- data_car[group_presence != 1, ]
But, I can't seem to get it to work across multiple datasets in a list in R:
#Now, with listed datasets:
data_1 <- mtcars
data_2 <- iris
mylist <- list(data_1, data_2)
mylist_data <- lapply(mylist, function(q) {
data = q
return(data)
})
mylist_groups <- lapply(mylist, function(q) {
group_item = kfold(x = q,
k = 5)
q$group_obj = group_item
return(q)
})
presence_train <- mylist_groups[group_obj != 1, ]
#Result:
Error: object 'group_obj' not found

Answer 1

We could use Map
out <- Map(function(x, y) x[y !=1, ], mylist, mylist_groups)
where
mylist_groups <- lapply(mylist, function(q) {
kfold(x = q,
k = 5)})
-output
> str(out)
List of 2
$ :'data.frame': 26 obs. of 11 variables:
..$ mpg : num [1:26] 21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ...
..$ cyl : num [1:26] 6 6 4 6 8 6 8 4 4 6 ...
..$ disp: num [1:26] 160 160 108 258 360 ...
..$ hp : num [1:26] 110 110 93 110 175 105 245 62 95 123 ...
..$ drat: num [1:26] 3.9 3.9 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 ...
..$ wt : num [1:26] 2.62 2.88 2.32 3.21 3.44 ...
..$ qsec: num [1:26] 16.5 17 18.6 19.4 17 ...
..$ vs : num [1:26] 0 0 1 1 0 1 0 1 1 1 ...
..$ am : num [1:26] 1 1 1 0 0 0 0 0 0 0 ...
..$ gear: num [1:26] 4 4 4 3 3 3 3 4 4 4 ...
..$ carb: num [1:26] 4 4 1 1 2 1 4 2 2 4 ...
$ :'data.frame': 120 obs. of 5 variables:
..$ Sepal.Length: num [1:120] 5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...
..$ Sepal.Width : num [1:120] 3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ...
..$ Petal.Length: num [1:120] 1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ...
..$ Petal.Width : num [1:120] 0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ...
..$ Species : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...