Nothing
Code
out
Output
effect as_value as_coef random
1 income_bus FALSE TRUE FALSE
2 income_car FALSE TRUE FALSE
3 time_bus TRUE TRUE FALSE
4 time_car TRUE TRUE FALSE
5 time_train TRUE TRUE FALSE
6 cost TRUE FALSE TRUE
7 ASC_bus FALSE TRUE TRUE
8 ASC_car FALSE TRUE TRUE
Code
print(data)
Output
Empirical data of 2929 choices.
Code
summary(data)
Output
count
deciders 235
choice occasions 5-19
total choices 2929
alternatives 2
- 'A' 1474
- 'B' 1455
Code
print(data)
Output
Empirical data of 55 (ordered) choices.
Code
summary(data)
Output
count
deciders 10
choice occasions 1-10
total choices 55
alternatives 5
- 'very bad' 34
- 'bad' 17
- 'indifferent' 4
- 'good' 0
- 'very good' 0
Code
print(data)
Output
Empirical data of 55 (ranked) choices.
Code
summary(data)
Output
count
deciders 10
choice occasions 1-10
total choices 55
alternatives 6
- 'A,B,C' 3
- 'A,C,B' 9
- 'B,A,C' 4
- 'B,C,A' 17
- 'C,A,B' 7
- 'C,B,A' 15
Code
print(data)
Output
Empirical data of 2929 choices.
Code
summary(data)
Output
count
deciders 235
choice occasions 5-19
total choices 2929
alternatives 2
- 'A' 1474
- 'B' 1455
Code
print(data)
Output
Simulated data of 55 choices.
Code
summary(data)
Output
count
deciders 10
choice occasions 1-10
total choices 55
alternatives 3
- 'bus' 7
- 'car' 22
- 'train' 26
Code
print(data)
Output
Simulated data of 55 (ordered) choices.
Code
summary(data)
Output
count
deciders 10
choice occasions 1-10
total choices 55
alternatives 5
- 'very bad' 34
- 'bad' 17
- 'indifferent' 4
- 'good' 0
- 'very good' 0
Code
print(data)
Output
Simulated data of 55 (ranked) choices.
Code
summary(data)
Output
count
deciders 10
choice occasions 1-10
total choices 55
alternatives 6
- 'A,B,C' 3
- 'A,C,B' 9
- 'B,A,C' 4
- 'B,C,A' 17
- 'C,A,B' 7
- 'C,B,A' 15
Code
train_test(x, test_proportion = 0.3, by = "N")
Output
$train
Simulated data of 28 choices.
$test
Simulated data of 27 choices.
Code
train_test(x, test_proportion = 0, by = "N")
Output
$train
Simulated data of 55 choices.
$test
Simulated data of 0 choices.
Code
train_test(x, test_proportion = 1, by = "N")
Output
$train
Simulated data of 0 choices.
$test
Simulated data of 55 choices.
Code
train_test(x, test_proportion = 0.5, by = "N", random = TRUE, seed = 1)
Output
$train
Simulated data of 32 choices.
$test
Simulated data of 23 choices.
Code
train_test(x, test_number = 1, by = "N")
Output
$train
Simulated data of 45 choices.
$test
Simulated data of 10 choices.
Code
train_test(x, test_number = 2, by = "N")
Output
$train
Simulated data of 36 choices.
$test
Simulated data of 19 choices.
Code
train_test(x, test_number = 1, by = "N", random = TRUE, seed = 1)
Output
$train
Simulated data of 46 choices.
$test
Simulated data of 9 choices.
Code
train_test(x, test_proportion = 0.3, by = "T")
Output
$train
Simulated data of 70 choices.
$test
Simulated data of 30 choices.
Code
train_test(x, test_proportion = 0.5, by = "T", random = TRUE, seed = 1)
Output
$train
Simulated data of 50 choices.
$test
Simulated data of 50 choices.
Code
train_test(x, test_number = 1, by = "T")
Output
$train
Simulated data of 90 choices.
$test
Simulated data of 10 choices.
Code
train_test(x, test_number = 2, by = "T")
Output
$train
Simulated data of 80 choices.
$test
Simulated data of 20 choices.
Code
train_test(x, test_number = 1, by = "T", random = TRUE, seed = 1)
Output
$train
Simulated data of 90 choices.
$test
Simulated data of 10 choices.
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