Package 'tradeoffaucdim'

Apply Model

Description

Apply model and create column with fit

Usage

apply_model(
  obj,
  models = c("SL.glm", "SL.rpart"),
  test_partition_prop = 0.2,
  perf_measure = "auc"
)

Arguments

obj	object returned from define_indepvars_outcome
models	models to be analyzed
test_partition_prop	test proportion
perf_measure	performance measure

Value

list with fit models and parameters

Examples

apply_model(obj2)

---

Banana Quality

Description

Banana quality dataset

Usage

bananaquality

Format

An object of class data.frame with 8000 rows and 8 columns.

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Banana Quality Subset

Description

Banana quality dataset subset

Usage

bananaquality_sample

Format

An object of class data.frame with 50 rows and 8 columns.

---

Bootstrap data

Description

Create a list with bootstrap samples

Usage

bootstrap_data(
  data,
  outcome = "Quality",
  indep_vars = c("Size", "Weight", "Sweetness", "Softness", "HarvestTime", "Ripeness",
    "Acidity"),
  n_samples = 50,
  n_maximum_dim = 5
)

Arguments

data	a dataframe to be analyzed
outcome	a string representing the outcome variable
indep_vars	a vector of strings to be considered
n_samples	number of bootstrap samples
n_maximum_dim	maximum number of variables to be considered

Value

list

Examples

bootstrap_data(bananaquality_sample)

---

Compare test

Description

Performs statistical tests to compare performance and runtime.

Usage

compare_test(obj, x_label_offset = 1, y_label_offset = 10)

Arguments

obj	object returned by plot_curve
x_label_offset	x coordinate to plot p-value
y_label_offset	y coordinate to plot p-value

Value

list with statistical tests performed

Examples

compare_test(obj5)

---

Define independent variables

Description

Define independent variables to be tested

Usage

define_indepvars(obj, p_in = 0.5, p_out = 0.6)

Arguments

obj	object returned by bootstrap_data
p_in	entry p-value used to determine variable order
p_out	removal p-value used to determine variable order

Value

list

Examples

define_indepvars(obj1)

---

Example Object returned from bootstrap_data

Description

obj1

Usage

obj1

Format

An object of class list of length 5.

---

Example Object returned from define_indepvars_outcome

Description

obj2

Usage

obj2

Format

An object of class list of length 7.

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Example Object returned from apply_model

Description

obj3

Usage

obj3

Format

An object of class list of length 10.

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Example Object returned from summary_statistics

Description

obj4

Usage

obj4

Format

An object of class list of length 11.

---

Example Object returned from plot_curve

Description

obj5

Usage

obj5

Format

An object of class list of length 15.

---

Example Object returned from compare_test

Description

obj6

Usage

obj6

Format

An object of class list of length 16.

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Plot curve

Description

Return plot features.

Usage

plot_curve(obj)

Arguments

obj	object returned by summary_statistics

Value

list with graphical features

Examples

plot_curve(obj4)

---

Summary Stats

Description

Return summary statistics

Usage

summary_stats(obj)

Arguments

obj	object returned from apply_model

Value

list with summary statistics and bootstrap confidence intervals

Examples

summary_stats(obj3)

---

Wrap all pipeline

Description

Wrap all pipeline

Usage

wrapper_aucdim(
  data,
  outcome,
  indep_vars,
  n_samples = 100,
  n_maximum_dim = 5,
  p_in = 0.5,
  p_out = 0.6,
  models = c("SL.glm"),
  test_partition_prop = 0.2,
  perf_measure = "auc",
  x_label_offset = 1,
  y_label_offset = 10
)

Arguments

data	a dataframe to be analyzed
outcome	a string representing the outcome variable
indep_vars	a vector of strings to be considered
n_samples	number of bootstrap samples
n_maximum_dim	maximum number of variables
p_in	entry p-value for choosing variable order
p_out	exclusion p-value for choosing variable order
models	a string representing the models to compare
test_partition_prop	test partition proportion
perf_measure	performance measure to be considered
x_label_offset	x coordinate for plotting
y_label_offset	y coordinate for plotting

Value

a list with the final object

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