Package 'RareComb'

Title: Combinatorial and Statistical Analyses of Rare Events
Description: A custom implementation of the apriori algorithm and binomial tests to identify combinations of features (genes, variants etc) significantly enriched for simultaneous mutations/events from sparse Boolean input, see Vijay Kumar Pounraja, Santhosh Girirajan (2021). Version 1.1 includes a minor adjustment to the number of combinations to be considered for multiple testing correction. This updated version is more conservative in its approach and hence more selective. <doi:10.1101/2021.10.01.462832>.
Authors: Vijay Kumar Pounraja [aut, cre]
Maintainer: Vijay Kumar Pounraja <[email protected]>
License: MIT + file LICENSE
Version: 1.1
Built: 2025-02-12 04:25:37 UTC
Source: https://github.com/cran/RareComb

Help Index


Analyze relationships between rare events among multiple input and output variables

Description

This function takes a Boolean dataframe as input and analyzes the relationship between input and output variables for the combinations that that include at least a single output variable andmeet all the input criteria specified by the user.

Usage

analyze_in_out_simultaneity(boolean_input_mult_df, combo_length, min_output_count,
                            max_output_count, min_indv_threshold, max_freq_threshold,
                            input_format, output_format, pval_filter_threshold,
                            adj_pval_type)

Arguments

boolean_input_mult_df

An input Boolean dataframe with multiple input and outcome variables

combo_length

The length of the combinations specified by the user

min_output_count

Minimum number of output variables present in the combination

max_output_count

Maximum number of output variables present in the combination

min_indv_threshold

Minimum number of instances that support the combination

max_freq_threshold

Maximum fraction of the cohort size that could support a combination (i.e., filter out highly frequent events)

input_format

Optional | Naming convention used for input variables (Default = 'Input_')

output_format

Optional | Naming convention used for output variables (Default = 'Output_')

pval_filter_threshold

Optional | p-value cut-off to use to identify significant combinations (Default = 0.05)

adj_pval_type

Optional | Type of multiple testing corrections to use (Default = 'BH'; Alternative option = 'bonferroni')

Value

A dataframe with the list of multiple-testing adjusted statistically significant combinations along with quantitative measures (frequencies, p-values etc) that support the findings.

Author(s)

Vijay Kumar Pounraja

Examples

analyze_in_out_simultaneity(boolean_input_mult_df, 3, 1, 2, 5, 0.25,
                                input_format = 'Input_', output_format = 'Output_',
                                pval_filter_threshold = 0.05, adj_pval_type = 'BH')

Sparse Boolean dataframe with rare variant information and a single outcome variable

Description

A synthetic dataset containing information about 5000 individuals (rows) and 1000 rare variants (columns).

Usage

boolean_input_df

Format

A data frame with 5000 rows and 1002 variables:

Sample_Name

Unique identifier of the samples

Input_1

Presence and absense of rare variant 1

Input_2

Presence and absense of rare variant 2

Input_3

Presence and absense of rare variant 3

Input_4

Presence and absense of rare variant 4

Input_5

Presence and absense of rare variant 5

Input_6

Presence and absense of rare variant 6

Input_7

Presence and absense of rare variant 7

Input_8

Presence and absense of rare variant 8

Input_9

Presence and absense of rare variant 9

Input_10

Presence and absense of rare variant 10

Input_11

Presence and absense of rare variant 11

Input_12

Presence and absense of rare variant 12

Input_13

Presence and absense of rare variant 13

Input_14

Presence and absense of rare variant 14

Input_15

Presence and absense of rare variant 15

Input_16

Presence and absense of rare variant 16

Input_17

Presence and absense of rare variant 17

Input_18

Presence and absense of rare variant 18

Input_19

Presence and absense of rare variant 19

Input_20

Presence and absense of rare variant 20

Input_21

Presence and absense of rare variant 21

Input_22

Presence and absense of rare variant 22

Input_23

Presence and absense of rare variant 23

Input_24

Presence and absense of rare variant 24

Input_25

Presence and absense of rare variant 25

Input_26

Presence and absense of rare variant 26

Input_27

Presence and absense of rare variant 27

Input_28

Presence and absense of rare variant 28

Input_29

Presence and absense of rare variant 29

Input_30

Presence and absense of rare variant 30

Input_31

Presence and absense of rare variant 31

Input_32

Presence and absense of rare variant 32

Input_33

Presence and absense of rare variant 33

Input_34

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Input_35

Presence and absense of rare variant 35

Input_36

Presence and absense of rare variant 36

Input_37

Presence and absense of rare variant 37

Input_38

Presence and absense of rare variant 38

Input_39

Presence and absense of rare variant 39

Input_40

Presence and absense of rare variant 40

Input_41

Presence and absense of rare variant 41

Input_42

Presence and absense of rare variant 42

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Presence and absense of rare variant 43

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Presence and absense of rare variant 44

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Presence and absense of rare variant 47

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Input_50

Presence and absense of rare variant 50

Input_51

Presence and absense of rare variant 51

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Input_56

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Input_60

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Presence and absense of rare variant 75

Input_76

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Input_80

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Presence and absense of rare variant 84

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Presence and absense of rare variant 86

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Presence and absense of rare variant 111

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Presence and absense of rare variant 117

Input_118

Presence and absense of rare variant 118

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Presence and absense of rare variant 119

Input_120

Presence and absense of rare variant 120

Input_121

Presence and absense of rare variant 121

Input_122

Presence and absense of rare variant 122

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Presence and absense of rare variant 123

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Presence and absense of rare variant 124

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Presence and absense of rare variant 128

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Presence and absense of rare variant 130

Input_131

Presence and absense of rare variant 131

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Input_133

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Presence and absense of rare variant 135

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Input_144

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Presence and absense of rare variant 146

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Presence and absense of rare variant 150

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Presence and absense of rare variant 151

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Presence and absense of rare variant 153

Input_154

Presence and absense of rare variant 154

Input_155

Presence and absense of rare variant 155

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Presence and absense of rare variant 156

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Presence and absense of rare variant 157

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Presence and absense of rare variant 158

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Presence and absense of rare variant 159

Input_160

Presence and absense of rare variant 160

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Presence and absense of rare variant 161

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Presence and absense of rare variant 162

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Presence and absense of rare variant 163

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Presence and absense of rare variant 164

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Presence and absense of rare variant 165

Input_166

Presence and absense of rare variant 166

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Presence and absense of rare variant 167

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Presence and absense of rare variant 168

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Presence and absense of rare variant 169

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Presence and absense of rare variant 170

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Presence and absense of rare variant 171

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Presence and absense of rare variant 172

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Presence and absense of rare variant 173

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Presence and absense of rare variant 174

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Presence and absense of rare variant 175

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Presence and absense of rare variant 176

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Presence and absense of rare variant 177

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Presence and absense of rare variant 178

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Presence and absense of rare variant 179

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Presence and absense of rare variant 180

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Presence and absense of rare variant 181

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Presence and absense of rare variant 182

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Presence and absense of rare variant 186

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Presence and absense of rare variant 187

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Presence and absense of rare variant 188

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Presence and absense of rare variant 189

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Presence and absense of rare variant 190

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Presence and absense of rare variant 191

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Presence and absense of rare variant 192

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Presence and absense of rare variant 215

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Presence and absense of rare variant 220

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Presence and absense of rare variant 221

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Presence and absense of rare variant 222

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Presence and absense of rare variant 223

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Presence and absense of rare variant 224

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Presence and absense of rare variant 225

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Presence and absense of rare variant 226

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Presence and absense of rare variant 227

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Presence and absense of rare variant 230

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Presence and absense of rare variant 231

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Presence and absense of rare variant 232

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Presence and absense of rare variant 256

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Presence and absense of rare variant 263

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Presence and absense of rare variant 270

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Presence and absense of rare variant 279

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Presence and absense of rare variant 460

Input_461

Presence and absense of rare variant 461

Input_462

Presence and absense of rare variant 462

Input_463

Presence and absense of rare variant 463

Input_464

Presence and absense of rare variant 464

Input_465

Presence and absense of rare variant 465

Input_466

Presence and absense of rare variant 466

Input_467

Presence and absense of rare variant 467

Input_468

Presence and absense of rare variant 468

Input_469

Presence and absense of rare variant 469

Input_470

Presence and absense of rare variant 470

Input_471

Presence and absense of rare variant 471

Input_472

Presence and absense of rare variant 472

Input_473

Presence and absense of rare variant 473

Input_474

Presence and absense of rare variant 474

Input_475

Presence and absense of rare variant 475

Input_476

Presence and absense of rare variant 476

Input_477

Presence and absense of rare variant 477

Input_478

Presence and absense of rare variant 478

Input_479

Presence and absense of rare variant 479

Input_480

Presence and absense of rare variant 480

Input_481

Presence and absense of rare variant 481

Input_482

Presence and absense of rare variant 482

Input_483

Presence and absense of rare variant 483

Input_484

Presence and absense of rare variant 484

Input_485

Presence and absense of rare variant 485

Input_486

Presence and absense of rare variant 486

Input_487

Presence and absense of rare variant 487

Input_488

Presence and absense of rare variant 488

Input_489

Presence and absense of rare variant 489

Input_490

Presence and absense of rare variant 490

Input_491

Presence and absense of rare variant 491

Input_492

Presence and absense of rare variant 492

Input_493

Presence and absense of rare variant 493

Input_494

Presence and absense of rare variant 494

Input_495

Presence and absense of rare variant 495

Input_496

Presence and absense of rare variant 496

Input_497

Presence and absense of rare variant 497

Input_498

Presence and absense of rare variant 498

Input_499

Presence and absense of rare variant 499

Input_500

Presence and absense of rare variant 500

Output_1

Disease outcome or phenotype


Sparse Boolean dataframe with rare variant information and multiple outcome variables

Description

A synthetic dataset containing information about 5000 individuals (rows) and 1000 rare variants (columns) and 3 outcome variables.

Usage

boolean_input_mult_df

Format

A data frame with 5000 rows and 1004 variables:

Sample_Name

Unique identifier of the samples

Input_1

Presence and absense of rare variant 1

Input_2

Presence and absense of rare variant 2

Input_3

Presence and absense of rare variant 3

Input_4

Presence and absense of rare variant 4

Input_5

Presence and absense of rare variant 5

Input_6

Presence and absense of rare variant 6

Input_7

Presence and absense of rare variant 7

Input_8

Presence and absense of rare variant 8

Input_9

Presence and absense of rare variant 9

Input_10

Presence and absense of rare variant 10

Input_11

Presence and absense of rare variant 11

Input_12

Presence and absense of rare variant 12

Input_13

Presence and absense of rare variant 13

Input_14

Presence and absense of rare variant 14

Input_15

Presence and absense of rare variant 15

Input_16

Presence and absense of rare variant 16

Input_17

Presence and absense of rare variant 17

Input_18

Presence and absense of rare variant 18

Input_19

Presence and absense of rare variant 19

Input_20

Presence and absense of rare variant 20

Input_21

Presence and absense of rare variant 21

Input_22

Presence and absense of rare variant 22

Input_23

Presence and absense of rare variant 23

Input_24

Presence and absense of rare variant 24

Input_25

Presence and absense of rare variant 25

Input_26

Presence and absense of rare variant 26

Input_27

Presence and absense of rare variant 27

Input_28

Presence and absense of rare variant 28

Input_29

Presence and absense of rare variant 29

Input_30

Presence and absense of rare variant 30

Input_31

Presence and absense of rare variant 31

Input_32

Presence and absense of rare variant 32

Input_33

Presence and absense of rare variant 33

Input_34

Presence and absense of rare variant 34

Input_35

Presence and absense of rare variant 35

Input_36

Presence and absense of rare variant 36

Input_37

Presence and absense of rare variant 37

Input_38

Presence and absense of rare variant 38

Input_39

Presence and absense of rare variant 39

Input_40

Presence and absense of rare variant 40

Input_41

Presence and absense of rare variant 41

Input_42

Presence and absense of rare variant 42

Input_43

Presence and absense of rare variant 43

Input_44

Presence and absense of rare variant 44

Input_45

Presence and absense of rare variant 45

Input_46

Presence and absense of rare variant 46

Input_47

Presence and absense of rare variant 47

Input_48

Presence and absense of rare variant 48

Input_49

Presence and absense of rare variant 49

Input_50

Presence and absense of rare variant 50

Input_51

Presence and absense of rare variant 51

Input_52

Presence and absense of rare variant 52

Input_53

Presence and absense of rare variant 53

Input_54

Presence and absense of rare variant 54

Input_55

Presence and absense of rare variant 55

Input_56

Presence and absense of rare variant 56

Input_57

Presence and absense of rare variant 57

Input_58

Presence and absense of rare variant 58

Input_59

Presence and absense of rare variant 59

Input_60

Presence and absense of rare variant 60

Input_61

Presence and absense of rare variant 61

Input_62

Presence and absense of rare variant 62

Input_63

Presence and absense of rare variant 63

Input_64

Presence and absense of rare variant 64

Input_65

Presence and absense of rare variant 65

Input_66

Presence and absense of rare variant 66

Input_67

Presence and absense of rare variant 67

Input_68

Presence and absense of rare variant 68

Input_69

Presence and absense of rare variant 69

Input_70

Presence and absense of rare variant 70

Input_71

Presence and absense of rare variant 71

Input_72

Presence and absense of rare variant 72

Input_73

Presence and absense of rare variant 73

Input_74

Presence and absense of rare variant 74

Input_75

Presence and absense of rare variant 75

Input_76

Presence and absense of rare variant 76

Input_77

Presence and absense of rare variant 77

Input_78

Presence and absense of rare variant 78

Input_79

Presence and absense of rare variant 79

Input_80

Presence and absense of rare variant 80

Input_81

Presence and absense of rare variant 81

Input_82

Presence and absense of rare variant 82

Input_83

Presence and absense of rare variant 83

Input_84

Presence and absense of rare variant 84

Input_85

Presence and absense of rare variant 85

Input_86

Presence and absense of rare variant 86

Input_87

Presence and absense of rare variant 87

Input_88

Presence and absense of rare variant 88

Input_89

Presence and absense of rare variant 89

Input_90

Presence and absense of rare variant 90

Input_91

Presence and absense of rare variant 91

Input_92

Presence and absense of rare variant 92

Input_93

Presence and absense of rare variant 93

Input_94

Presence and absense of rare variant 94

Input_95

Presence and absense of rare variant 95

Input_96

Presence and absense of rare variant 96

Input_97

Presence and absense of rare variant 97

Input_98

Presence and absense of rare variant 98

Input_99

Presence and absense of rare variant 99

Input_100

Presence and absense of rare variant 100

Input_101

Presence and absense of rare variant 101

Input_102

Presence and absense of rare variant 102

Input_103

Presence and absense of rare variant 103

Input_104

Presence and absense of rare variant 104

Input_105

Presence and absense of rare variant 105

Input_106

Presence and absense of rare variant 106

Input_107

Presence and absense of rare variant 107

Input_108

Presence and absense of rare variant 108

Input_109

Presence and absense of rare variant 109

Input_110

Presence and absense of rare variant 110

Input_111

Presence and absense of rare variant 111

Input_112

Presence and absense of rare variant 112

Input_113

Presence and absense of rare variant 113

Input_114

Presence and absense of rare variant 114

Input_115

Presence and absense of rare variant 115

Input_116

Presence and absense of rare variant 116

Input_117

Presence and absense of rare variant 117

Input_118

Presence and absense of rare variant 118

Input_119

Presence and absense of rare variant 119

Input_120

Presence and absense of rare variant 120

Input_121

Presence and absense of rare variant 121

Input_122

Presence and absense of rare variant 122

Input_123

Presence and absense of rare variant 123

Input_124

Presence and absense of rare variant 124

Input_125

Presence and absense of rare variant 125

Input_126

Presence and absense of rare variant 126

Input_127

Presence and absense of rare variant 127

Input_128

Presence and absense of rare variant 128

Input_129

Presence and absense of rare variant 129

Input_130

Presence and absense of rare variant 130

Input_131

Presence and absense of rare variant 131

Input_132

Presence and absense of rare variant 132

Input_133

Presence and absense of rare variant 133

Input_134

Presence and absense of rare variant 134

Input_135

Presence and absense of rare variant 135

Input_136

Presence and absense of rare variant 136

Input_137

Presence and absense of rare variant 137

Input_138

Presence and absense of rare variant 138

Input_139

Presence and absense of rare variant 139

Input_140

Presence and absense of rare variant 140

Input_141

Presence and absense of rare variant 141

Input_142

Presence and absense of rare variant 142

Input_143

Presence and absense of rare variant 143

Input_144

Presence and absense of rare variant 144

Input_145

Presence and absense of rare variant 145

Input_146

Presence and absense of rare variant 146

Input_147

Presence and absense of rare variant 147

Input_148

Presence and absense of rare variant 148

Input_149

Presence and absense of rare variant 149

Input_150

Presence and absense of rare variant 150

Input_151

Presence and absense of rare variant 151

Input_152

Presence and absense of rare variant 152

Input_153

Presence and absense of rare variant 153

Input_154

Presence and absense of rare variant 154

Input_155

Presence and absense of rare variant 155

Input_156

Presence and absense of rare variant 156

Input_157

Presence and absense of rare variant 157

Input_158

Presence and absense of rare variant 158

Input_159

Presence and absense of rare variant 159

Input_160

Presence and absense of rare variant 160

Input_161

Presence and absense of rare variant 161

Input_162

Presence and absense of rare variant 162

Input_163

Presence and absense of rare variant 163

Input_164

Presence and absense of rare variant 164

Input_165

Presence and absense of rare variant 165

Input_166

Presence and absense of rare variant 166

Input_167

Presence and absense of rare variant 167

Input_168

Presence and absense of rare variant 168

Input_169

Presence and absense of rare variant 169

Input_170

Presence and absense of rare variant 170

Input_171

Presence and absense of rare variant 171

Input_172

Presence and absense of rare variant 172

Input_173

Presence and absense of rare variant 173

Input_174

Presence and absense of rare variant 174

Input_175

Presence and absense of rare variant 175

Input_176

Presence and absense of rare variant 176

Input_177

Presence and absense of rare variant 177

Input_178

Presence and absense of rare variant 178

Input_179

Presence and absense of rare variant 179

Input_180

Presence and absense of rare variant 180

Input_181

Presence and absense of rare variant 181

Input_182

Presence and absense of rare variant 182

Input_183

Presence and absense of rare variant 183

Input_184

Presence and absense of rare variant 184

Input_185

Presence and absense of rare variant 185

Input_186

Presence and absense of rare variant 186

Input_187

Presence and absense of rare variant 187

Input_188

Presence and absense of rare variant 188

Input_189

Presence and absense of rare variant 189

Input_190

Presence and absense of rare variant 190

Input_191

Presence and absense of rare variant 191

Input_192

Presence and absense of rare variant 192

Input_193

Presence and absense of rare variant 193

Input_194

Presence and absense of rare variant 194

Input_195

Presence and absense of rare variant 195

Input_196

Presence and absense of rare variant 196

Input_197

Presence and absense of rare variant 197

Input_198

Presence and absense of rare variant 198

Input_199

Presence and absense of rare variant 199

Input_200

Presence and absense of rare variant 200

Input_201

Presence and absense of rare variant 201

Input_202

Presence and absense of rare variant 202

Input_203

Presence and absense of rare variant 203

Input_204

Presence and absense of rare variant 204

Input_205

Presence and absense of rare variant 205

Input_206

Presence and absense of rare variant 206

Input_207

Presence and absense of rare variant 207

Input_208

Presence and absense of rare variant 208

Input_209

Presence and absense of rare variant 209

Input_210

Presence and absense of rare variant 210

Input_211

Presence and absense of rare variant 211

Input_212

Presence and absense of rare variant 212

Input_213

Presence and absense of rare variant 213

Input_214

Presence and absense of rare variant 214

Input_215

Presence and absense of rare variant 215

Input_216

Presence and absense of rare variant 216

Input_217

Presence and absense of rare variant 217

Input_218

Presence and absense of rare variant 218

Input_219

Presence and absense of rare variant 219

Input_220

Presence and absense of rare variant 220

Input_221

Presence and absense of rare variant 221

Input_222

Presence and absense of rare variant 222

Input_223

Presence and absense of rare variant 223

Input_224

Presence and absense of rare variant 224

Input_225

Presence and absense of rare variant 225

Input_226

Presence and absense of rare variant 226

Input_227

Presence and absense of rare variant 227

Input_228

Presence and absense of rare variant 228

Input_229

Presence and absense of rare variant 229

Input_230

Presence and absense of rare variant 230

Input_231

Presence and absense of rare variant 231

Input_232

Presence and absense of rare variant 232

Input_233

Presence and absense of rare variant 233

Input_234

Presence and absense of rare variant 234

Input_235

Presence and absense of rare variant 235

Input_236

Presence and absense of rare variant 236

Input_237

Presence and absense of rare variant 237

Input_238

Presence and absense of rare variant 238

Input_239

Presence and absense of rare variant 239

Input_240

Presence and absense of rare variant 240

Input_241

Presence and absense of rare variant 241

Input_242

Presence and absense of rare variant 242

Input_243

Presence and absense of rare variant 243

Input_244

Presence and absense of rare variant 244

Input_245

Presence and absense of rare variant 245

Input_246

Presence and absense of rare variant 246

Input_247

Presence and absense of rare variant 247

Input_248

Presence and absense of rare variant 248

Input_249

Presence and absense of rare variant 249

Input_250

Presence and absense of rare variant 250

Input_251

Presence and absense of rare variant 251

Input_252

Presence and absense of rare variant 252

Input_253

Presence and absense of rare variant 253

Input_254

Presence and absense of rare variant 254

Input_255

Presence and absense of rare variant 255

Input_256

Presence and absense of rare variant 256

Input_257

Presence and absense of rare variant 257

Input_258

Presence and absense of rare variant 258

Input_259

Presence and absense of rare variant 259

Input_260

Presence and absense of rare variant 260

Input_261

Presence and absense of rare variant 261

Input_262

Presence and absense of rare variant 262

Input_263

Presence and absense of rare variant 263

Input_264

Presence and absense of rare variant 264

Input_265

Presence and absense of rare variant 265

Input_266

Presence and absense of rare variant 266

Input_267

Presence and absense of rare variant 267

Input_268

Presence and absense of rare variant 268

Input_269

Presence and absense of rare variant 269

Input_270

Presence and absense of rare variant 270

Input_271

Presence and absense of rare variant 271

Input_272

Presence and absense of rare variant 272

Input_273

Presence and absense of rare variant 273

Input_274

Presence and absense of rare variant 274

Input_275

Presence and absense of rare variant 275

Input_276

Presence and absense of rare variant 276

Input_277

Presence and absense of rare variant 277

Input_278

Presence and absense of rare variant 278

Input_279

Presence and absense of rare variant 279

Input_280

Presence and absense of rare variant 280

Input_281

Presence and absense of rare variant 281

Input_282

Presence and absense of rare variant 282

Input_283

Presence and absense of rare variant 283

Input_284

Presence and absense of rare variant 284

Input_285

Presence and absense of rare variant 285

Input_286

Presence and absense of rare variant 286

Input_287

Presence and absense of rare variant 287

Input_288

Presence and absense of rare variant 288

Input_289

Presence and absense of rare variant 289

Input_290

Presence and absense of rare variant 290

Input_291

Presence and absense of rare variant 291

Input_292

Presence and absense of rare variant 292

Input_293

Presence and absense of rare variant 293

Input_294

Presence and absense of rare variant 294

Input_295

Presence and absense of rare variant 295

Input_296

Presence and absense of rare variant 296

Input_297

Presence and absense of rare variant 297

Input_298

Presence and absense of rare variant 298

Input_299

Presence and absense of rare variant 299

Input_300

Presence and absense of rare variant 300

Input_301

Presence and absense of rare variant 301

Input_302

Presence and absense of rare variant 302

Input_303

Presence and absense of rare variant 303

Input_304

Presence and absense of rare variant 304

Input_305

Presence and absense of rare variant 305

Input_306

Presence and absense of rare variant 306

Input_307

Presence and absense of rare variant 307

Input_308

Presence and absense of rare variant 308

Input_309

Presence and absense of rare variant 309

Input_310

Presence and absense of rare variant 310

Input_311

Presence and absense of rare variant 311

Input_312

Presence and absense of rare variant 312

Input_313

Presence and absense of rare variant 313

Input_314

Presence and absense of rare variant 314

Input_315

Presence and absense of rare variant 315

Input_316

Presence and absense of rare variant 316

Input_317

Presence and absense of rare variant 317

Input_318

Presence and absense of rare variant 318

Input_319

Presence and absense of rare variant 319

Input_320

Presence and absense of rare variant 320

Input_321

Presence and absense of rare variant 321

Input_322

Presence and absense of rare variant 322

Input_323

Presence and absense of rare variant 323

Input_324

Presence and absense of rare variant 324

Input_325

Presence and absense of rare variant 325

Input_326

Presence and absense of rare variant 326

Input_327

Presence and absense of rare variant 327

Input_328

Presence and absense of rare variant 328

Input_329

Presence and absense of rare variant 329

Input_330

Presence and absense of rare variant 330

Input_331

Presence and absense of rare variant 331

Input_332

Presence and absense of rare variant 332

Input_333

Presence and absense of rare variant 333

Input_334

Presence and absense of rare variant 334

Input_335

Presence and absense of rare variant 335

Input_336

Presence and absense of rare variant 336

Input_337

Presence and absense of rare variant 337

Input_338

Presence and absense of rare variant 338

Input_339

Presence and absense of rare variant 339

Input_340

Presence and absense of rare variant 340

Input_341

Presence and absense of rare variant 341

Input_342

Presence and absense of rare variant 342

Input_343

Presence and absense of rare variant 343

Input_344

Presence and absense of rare variant 344

Input_345

Presence and absense of rare variant 345

Input_346

Presence and absense of rare variant 346

Input_347

Presence and absense of rare variant 347

Input_348

Presence and absense of rare variant 348

Input_349

Presence and absense of rare variant 349

Input_350

Presence and absense of rare variant 350

Input_351

Presence and absense of rare variant 351

Input_352

Presence and absense of rare variant 352

Input_353

Presence and absense of rare variant 353

Input_354

Presence and absense of rare variant 354

Input_355

Presence and absense of rare variant 355

Input_356

Presence and absense of rare variant 356

Input_357

Presence and absense of rare variant 357

Input_358

Presence and absense of rare variant 358

Input_359

Presence and absense of rare variant 359

Input_360

Presence and absense of rare variant 360

Input_361

Presence and absense of rare variant 361

Input_362

Presence and absense of rare variant 362

Input_363

Presence and absense of rare variant 363

Input_364

Presence and absense of rare variant 364

Input_365

Presence and absense of rare variant 365

Input_366

Presence and absense of rare variant 366

Input_367

Presence and absense of rare variant 367

Input_368

Presence and absense of rare variant 368

Input_369

Presence and absense of rare variant 369

Input_370

Presence and absense of rare variant 370

Input_371

Presence and absense of rare variant 371

Input_372

Presence and absense of rare variant 372

Input_373

Presence and absense of rare variant 373

Input_374

Presence and absense of rare variant 374

Input_375

Presence and absense of rare variant 375

Input_376

Presence and absense of rare variant 376

Input_377

Presence and absense of rare variant 377

Input_378

Presence and absense of rare variant 378

Input_379

Presence and absense of rare variant 379

Input_380

Presence and absense of rare variant 380

Input_381

Presence and absense of rare variant 381

Input_382

Presence and absense of rare variant 382

Input_383

Presence and absense of rare variant 383

Input_384

Presence and absense of rare variant 384

Input_385

Presence and absense of rare variant 385

Input_386

Presence and absense of rare variant 386

Input_387

Presence and absense of rare variant 387

Input_388

Presence and absense of rare variant 388

Input_389

Presence and absense of rare variant 389

Input_390

Presence and absense of rare variant 390

Input_391

Presence and absense of rare variant 391

Input_392

Presence and absense of rare variant 392

Input_393

Presence and absense of rare variant 393

Input_394

Presence and absense of rare variant 394

Input_395

Presence and absense of rare variant 395

Input_396

Presence and absense of rare variant 396

Input_397

Presence and absense of rare variant 397

Input_398

Presence and absense of rare variant 398

Input_399

Presence and absense of rare variant 399

Input_400

Presence and absense of rare variant 400

Input_401

Presence and absense of rare variant 401

Input_402

Presence and absense of rare variant 402

Input_403

Presence and absense of rare variant 403

Input_404

Presence and absense of rare variant 404

Input_405

Presence and absense of rare variant 405

Input_406

Presence and absense of rare variant 406

Input_407

Presence and absense of rare variant 407

Input_408

Presence and absense of rare variant 408

Input_409

Presence and absense of rare variant 409

Input_410

Presence and absense of rare variant 410

Input_411

Presence and absense of rare variant 411

Input_412

Presence and absense of rare variant 412

Input_413

Presence and absense of rare variant 413

Input_414

Presence and absense of rare variant 414

Input_415

Presence and absense of rare variant 415

Input_416

Presence and absense of rare variant 416

Input_417

Presence and absense of rare variant 417

Input_418

Presence and absense of rare variant 418

Input_419

Presence and absense of rare variant 419

Input_420

Presence and absense of rare variant 420

Input_421

Presence and absense of rare variant 421

Input_422

Presence and absense of rare variant 422

Input_423

Presence and absense of rare variant 423

Input_424

Presence and absense of rare variant 424

Input_425

Presence and absense of rare variant 425

Input_426

Presence and absense of rare variant 426

Input_427

Presence and absense of rare variant 427

Input_428

Presence and absense of rare variant 428

Input_429

Presence and absense of rare variant 429

Input_430

Presence and absense of rare variant 430

Input_431

Presence and absense of rare variant 431

Input_432

Presence and absense of rare variant 432

Input_433

Presence and absense of rare variant 433

Input_434

Presence and absense of rare variant 434

Input_435

Presence and absense of rare variant 435

Input_436

Presence and absense of rare variant 436

Input_437

Presence and absense of rare variant 437

Input_438

Presence and absense of rare variant 438

Input_439

Presence and absense of rare variant 439

Input_440

Presence and absense of rare variant 440

Input_441

Presence and absense of rare variant 441

Input_442

Presence and absense of rare variant 442

Input_443

Presence and absense of rare variant 443

Input_444

Presence and absense of rare variant 444

Input_445

Presence and absense of rare variant 445

Input_446

Presence and absense of rare variant 446

Input_447

Presence and absense of rare variant 447

Input_448

Presence and absense of rare variant 448

Input_449

Presence and absense of rare variant 449

Input_450

Presence and absense of rare variant 450

Input_451

Presence and absense of rare variant 451

Input_452

Presence and absense of rare variant 452

Input_453

Presence and absense of rare variant 453

Input_454

Presence and absense of rare variant 454

Input_455

Presence and absense of rare variant 455

Input_456

Presence and absense of rare variant 456

Input_457

Presence and absense of rare variant 457

Input_458

Presence and absense of rare variant 458

Input_459

Presence and absense of rare variant 459

Input_460

Presence and absense of rare variant 460

Input_461

Presence and absense of rare variant 461

Input_462

Presence and absense of rare variant 462

Input_463

Presence and absense of rare variant 463

Input_464

Presence and absense of rare variant 464

Input_465

Presence and absense of rare variant 465

Input_466

Presence and absense of rare variant 466

Input_467

Presence and absense of rare variant 467

Input_468

Presence and absense of rare variant 468

Input_469

Presence and absense of rare variant 469

Input_470

Presence and absense of rare variant 470

Input_471

Presence and absense of rare variant 471

Input_472

Presence and absense of rare variant 472

Input_473

Presence and absense of rare variant 473

Input_474

Presence and absense of rare variant 474

Input_475

Presence and absense of rare variant 475

Input_476

Presence and absense of rare variant 476

Input_477

Presence and absense of rare variant 477

Input_478

Presence and absense of rare variant 478

Input_479

Presence and absense of rare variant 479

Input_480

Presence and absense of rare variant 480

Input_481

Presence and absense of rare variant 481

Input_482

Presence and absense of rare variant 482

Input_483

Presence and absense of rare variant 483

Input_484

Presence and absense of rare variant 484

Input_485

Presence and absense of rare variant 485

Input_486

Presence and absense of rare variant 486

Input_487

Presence and absense of rare variant 487

Input_488

Presence and absense of rare variant 488

Input_489

Presence and absense of rare variant 489

Input_490

Presence and absense of rare variant 490

Input_491

Presence and absense of rare variant 491

Input_492

Presence and absense of rare variant 492

Input_493

Presence and absense of rare variant 493

Input_494

Presence and absense of rare variant 494

Input_495

Presence and absense of rare variant 495

Input_496

Presence and absense of rare variant 496

Input_497

Presence and absense of rare variant 497

Input_498

Presence and absense of rare variant 498

Input_499

Presence and absense of rare variant 499

Input_500

Presence and absense of rare variant 500

Output_1

Disease outcome or phenotype 1

Output_2

Disease outcome or phenotype 2

Output_3

Disease outcome or phenotype 3


Compare the enrichment in combinations of input variables between the binary outcomes (case/control)

Description

This function takes a Boolean dataframe as input and quantifies the enrichment in the observed frequency of combinations that meet the criteria specified by the users compared to their corresponding expectation derived under the assumption of independence between the constituent elements of each combination. The function then reports the multiple-testing adjusted significant combinations in which enrichment is observed in cases but not in controls.

Usage

compare_enrichment(boolean_input_df, combo_length, min_indv_threshold,
                   max_freq_threshold, input_format, output_format,
                   pval_filter_threshold, adj_pval_type, min_power_threshold,
                   sample_names_ind)

Arguments

boolean_input_df

An input Boolean dataframe with multiple input and a single binary outcome variable

combo_length

The length of the combinations specified by the user

min_indv_threshold

Minimum number of instances that support the combination

max_freq_threshold

Maximum fraction of the cohort size that could support a combination (i.e., filter out highly frequent events)

input_format

Optional | Naming convention used for input variables (Default = 'Input_')

output_format

Optional | Naming convention used for output variables (Default = 'Output_')

pval_filter_threshold

Optional | p-value cut-off to use to identify significant combinations in cases (Default = 0.05)

adj_pval_type

Optional | Type of multiple testing corrections to use (Default = 'BH'; Alternative option = 'bonferroni')

min_power_threshold

Optional | Minimum statistical power (at 5% sig.threshold) required for significant combinations to be returned in the results (Default = 0.7)

sample_names_ind

Optional | Indicator to specify if the output should includes row names that support each significant combination (Default = 'N'; Alternative option = 'Y')

Value

A dataframe with the list of multiple-testing adjusted statistically significant combinations along with quantitative measures (frequencies, p-values etc) that support the findings.

Author(s)

Vijay Kumar Pounraja

Examples

compare_enrichment(boolean_input_df, 3, 5, 0.25, input_format = 'Input_',
                      output_format = 'Output_', adj_pval_type = 'bonferroni',
                      sample_names_ind = 'N')

Compare the enrichment in combinations of input variables between the binary outcomes (case/control)

Description

This function takes a Boolean dataframe as input and quantifies the enrichment in the observed frequency of combinations that meet the criteria specified by the users compared to their corresponding expectation derived under the assumption of independence between the constituent elements of each combination. The function then reports the multiple-testing adjusted significant combinations in which enrichment is observed in cases and depletion is observed in controls.

Usage

compare_enrichment_depletion(boolean_input_df, combo_length, min_indv_threshold,
                             max_freq_threshold, input_format, output_format,
                             pval_filter_threshold, adj_pval_type, min_power_threshold,
                             sample_names_ind)

Arguments

boolean_input_df

An input Boolean dataframe with multiple input and a single binary outcome variable

combo_length

The length of the combinations specified by the user

min_indv_threshold

Minimum number of instances that support the combination

max_freq_threshold

Maximum fraction of the cohort size that could support a combination (i.e., filter out highly frequent events)

input_format

Optional | Naming convention used for input variables (Default = 'Input_')

output_format

Optional | Naming convention used for output variables (Default = 'Output_')

pval_filter_threshold

Optional | p-value cut-off to use to identify significant combinations in cases (Default = 0.05)

adj_pval_type

Optional | Type of multiple testing corrections to use (Default = 'BH'; Alternative option = 'bonferroni')

min_power_threshold

Optional | Minimum statistical power (at 5% sig.threshold) required for significant combinations to be returned in the results (Default = 0.7)

sample_names_ind

Optional | Indicator to specify if the output should includes row names that support each significant combination (Default = 'N'; Alternative option = 'Y')

Value

A dataframe with the list of multiple-testing adjusted statistically significant combinations along with quantitative measures (frequencies, p-values etc) that support the findings.

Author(s)

Vijay Kumar Pounraja

Examples

compare_enrichment_depletion(boolean_input_df, 3, 5, 0.25, input_format = 'Input_',
                                output_format = 'Output_', adj_pval_type = 'bonferroni',
                                sample_names_ind = 'N')

Compare the enrichment in combinations of input variables between the binary outcomes (case/control)

Description

This function takes a Boolean dataframe as input and quantifies the enrichment in the observed frequency of combinations that include at least one of the input variables supplied by the user as well as meet other user-specified criteria compared to their corresponding expectation derived under the assumption of independence between the constituent elements of each combination. The function then reports the combinations in which enrichment is observed in cases but not in controls.

Usage

compare_enrichment_modifiers(boolean_input_df, combo_length, min_indv_threshold,
                             max_freq_threshold, primary_input_entities, input_format,
                             output_format, pval_filter_threshold, adj_pval_type,
                             min_power_threshold, sample_names_ind)

Arguments

boolean_input_df

An input Boolean dataframe with multiple input and a single binary outcome variable

combo_length

The length of the combinations specified by the user

min_indv_threshold

Minimum number of instances that support the combination

max_freq_threshold

Maximum fraction of the cohort size that could support a combination (i.e., filter out highly frequent events)

primary_input_entities

List of variables that MUST be part of the combinations identified by the method

input_format

Optional | Naming convention used for input variables (Default = 'Input_')

output_format

Optional | Naming convention used for output variables (Default = 'Output_')

pval_filter_threshold

Optional | p-value cut-off to use to identify significant combinations in cases (Default = 0.05)

adj_pval_type

Optional | Type of multiple testing corrections to use (Default = 'BH'; Alternative option = 'bonferroni')

min_power_threshold

Optional | Minimum statistical power (at 5% sig.threshold) required for significant combinations to be returned in the results (Default = 0.7)

sample_names_ind

Optional | Indicator to specify if the output should includes row names that support each significant combination (Default = 'N'; Alternative option = 'Y')

Value

A dataframe with the list of multiple-testing adjusted statistically significant combinations along with quantitative measures (frequencies, p-values etc) that support the findings.

Author(s)

Vijay Kumar Pounraja

Examples

compare_enrichment_modifiers(boolean_input_df, 2, 4, 0.25, input_format = 'Input_',
                                output_format = 'Output_', primary_input_entities = input_list,
                                adj_pval_type = 'bonferroni', sample_names_ind = 'N')

Compare the observed frequencies of combinations with their expected frequencies under the assumption of independence within a single group

Description

This function takes a Boolean dataframe as input and compares the observed frequency of combinations that meet the criteria specified by the users with their corresponding expectation derived under the assumption of independence between the constituent elements of each combination

Usage

compare_expected_vs_observed(boolean_input_df, combo_length, min_indv_threshold,
                             max_freq_threshold, input_format,
                             pval_filter_threshold, adj_pval_type)

Arguments

boolean_input_df

An input Boolean dataframe with multiple input variables

combo_length

The length of the combinations specified by the user

min_indv_threshold

Minimum number of instances that support the combination

max_freq_threshold

Maximum fraction of the cohort size that could support a combination (i.e., filter out highly frequent events)

input_format

Optional | Naming convention used for input variables (Default = 'Input_')

pval_filter_threshold

Optional | p-value cut-off to use for multiple testing adjustment (Default = 0.05)

adj_pval_type

Optional | Type of multiple testing corrections to use (Default = 'BH'; Alternative option = 'bonferroni')

Value

A dataframe with the list of multiple-testing adjusted statistically significant combinations along with quantitative measures (frequencies, p-values etc) that support the findings.

Author(s)

Vijay Kumar Pounraja

Examples

compare_expected_vs_observed(boolean_input_df, 2, 10, 0.25, 0.05,
                                input_format = 'Input_', adj_pval_type = 'BH')

Perform successive left joins to fetch information about the constituent elements of the combinations

Description

Fetching the frequency of multiple individual elements that make up the combinations of varying length and hence varying variable names or to join two similar data frames using identical variable names necessitates this function that supplements and joins data based on the length of the combinations.

Usage

custom_left_join(
  left_df,
  right_df,
  combo_length = combo_length,
  diff_colnames = diff_colnames
)

Arguments

left_df

The data frame with information about the combinations

right_df

The data frame with information either about the combinations or their constituent elements

combo_length

The length of the combinations specified by the user used to determine the number of successive joins to attempt

diff_colnames

Indicator that specifies if the joins are to be made based on same or different column names

Value

An output dataframe with the results of the join operation

Author(s)

Vijay Kumar Pounraja


A list of 50 random input variables

Description

A list of 50 random input variables

Usage

input_list

Format

A list of 50 random input variables:


Generate frequent items using the apriori algorithm

Description

This function takes in a factorized Boolean matrix and generate frequent itemsets that meet all the user provided criteria provided by the calling function.

Usage

run_apriori_freqitems(
  apriori_input_df,
  combo_length,
  support_threshold,
  input_colname_list,
  confidence_threshold = confidence_threshold,
  include_output_ind = include_output_ind,
  output_colname_list = output_colname_list
)

Arguments

apriori_input_df

An input factorized Boolean dataframe with multiple input and outcome variables

combo_length

The length of the combinations specified by the user

support_threshold

Minimum support value calculated based on the minimum absolute observed frequency threshold specified by the user

input_colname_list

A list of column names that identify the input variables

confidence_threshold

Minimum confidence threshold specified by the user

include_output_ind

Specifies if the outcome variables must also be made part of the analysis using the algorithm

output_colname_list

A list of column names that identify the outcome variables

Details

This is a function leveraged by few of the four main methods available to the users.

Value

A list of frequent item sets that meet all the constraints supplied to the apriori algorithm

Author(s)

Vijay Kumar Pounraja


Generate rules using the apriori algorithm

Description

This function takes in a factorized Boolean matrix and generate rules that meet all the user provided criteria while restricting the RHS of the rule based on the list of variables allowed in RHS provided by the calling function.

Usage

run_apriori_rules(
  apriori_input_df,
  combo_length,
  support_threshold,
  input_colname_list,
  confidence_threshold = confidence_threshold,
  output_colname_list = output_colname_list
)

Arguments

apriori_input_df

An input factorized Boolean dataframe with multiple input and outcome variables

combo_length

The length of the combinations specified by the user

support_threshold

Minimum support value calculated based on the minimum absolute observed frequency threshold specified by the user

input_colname_list

A list of column names that identify the input variables

confidence_threshold

Minimum confidence threshold specified by the user

output_colname_list

Optional | A list of column names that identify the outcome variables

Details

This is a function leveraged by few of the four main methods available to the users.

Value

A list of rules that meet all the constraints supplied to the apriori algorithm

Author(s)

Vijay Kumar Pounraja


Generate rules using the apriori algorithm

Description

This function takes in a factorized Boolean matrix and generate rules that meet all the user provided criteria while allowing the outcome variables to be part of either LHS or RHS of the rules but restricting the input variables to the LHS of the rules.

Usage

run_apriori_rules_inout_simult(
  apriori_input_df,
  combo_length,
  support_threshold,
  input_colname_list,
  output_colname_list = output_colname_list
)

Arguments

apriori_input_df

An input factorized Boolean dataframe with multiple input and outcome variables

combo_length

The length of the combinations specified by the user

support_threshold

Minimum support value calculated based on the minimum absolute observed frequency threshold specified by the user

input_colname_list

A list of column names that identify the input variables

output_colname_list

Optional | A list of column names that identify the outcome variables

Details

This is a function leveraged by few of the four main methods available to the users.

Value

A list of rules that meet all the constraints supplied to the apriori algorithm

Author(s)

Vijay Kumar Pounraja


Generate rules using the apriori algorithm

Description

This function takes in a factorized Boolean matrix and generate rules that meet all the user provided criteria while restricting the RHS of the rule based on the list of variables allowed in RHS provided by the calling function.

Usage

run_apriori_rules_modifiers(
  apriori_input_df,
  combo_length,
  support_threshold,
  input_colname_list,
  output_colname_list = output_colname_list
)

Arguments

apriori_input_df

An input factorized Boolean dataframe with multiple input and outcome variables

combo_length

The length of the combinations specified by the user

support_threshold

Minimum support value calculated based on the minimum absolute observed frequency threshold specified by the user

input_colname_list

A list of column names that identify the input variables

output_colname_list

Optional | A list of column names that identify the outcome variables

Details

This is a function leveraged by few of the four main methods available to the users.

Value

A list of rules that meet all the constraints supplied to the apriori algorithm

Author(s)

Vijay Kumar Pounraja


Generate frequent items along with the names of supporting observations using the apriori algorithm

Description

This function takes in a factorized Boolean matrix and generate frequent item sets that meet all the user provided criteria provided by the calling function. This function includes in it's output the identifiers of observations that support each significant combination.

Usage

run_apriori_w_sample_names(
  apriori_input_df,
  combo_length,
  support_threshold,
  input_colname_list,
  input_sample_list,
  confidence_threshold = confidence_threshold,
  include_output_ind = include_output_ind,
  output_colname_list = output_colname_list
)

Arguments

apriori_input_df

An input factorized Boolean dataframe with multiple input and outcome variables

combo_length

The length of the combinations specified by the user

support_threshold

Minimum support value calculated based on the minimum absolute observed frequency threshold specified by the user

input_colname_list

A list of column names that identify the input variables

input_sample_list

A list of row names that identify the samples/observations

confidence_threshold

Minimum confidence threshold specified by the user

include_output_ind

Specifies if the outcome variables must also be made part of the analysis using the algorithm

output_colname_list

A list of column names that identify the outcome variables

Details

This is a function leveraged by few of the four main methods available to the users.

Value

A list of frequent item sets that meet all the constraints supplied to the apriori algorithm

Author(s)

Vijay Kumar Pounraja