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question:Q: How to partition using createPartition I have this data below. I am having problem partitioning this using caret's createPartition. gg <- structure(c(1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L, 145L, 145L, 145L, 146L, 146L, 146L, 147L, 147L, 147L, 148L, 148L, 148L, 149L, 149L, 149L, 150L, 150L, 150L, 193L, 193L, 193L, 194L, 194L, 194L, 195L, 195L, 195L, 196L, 196L, 196L, 197L, 197L, 197L, 198L, 198L, 198L, 199L, 199L, 199L, 200L, 200L, 200L, 201L, 201L, 201L, 202L, 202L, 202L, 203L, 203L, 203L, 204L, 204L, 204L, 205L, 205L, 205L, 206L, 206L, 206L, 207L, 207L, 207L, 208L, 208L, 208L, 209L, 209L, 209L, 210L, 210L, 210L, 211L, 211L, 211L, 212L, 212L, 212L, 213L, 213L, 213L, 214L, 214L, 214L, 215L, 215L, 215L, 216L, 216L, 216L, 217L, 217L, 217L, 218L, 218L, 218L, 219L, 219L, 219L, 220L, 220L, 220L, 221L, 221L, 221L, 222L, 222L, 222L, 223L, 223L, 223L, 224L, 224L, 224L, 225L, 225L, 225L, 226L, 226L, 226L, 227L, 227L, 227L, 228L, 228L, 228L, 229L, 229L, 229L, 230L, 230L, 230L, 231L, 231L, 231L, 232L, 232L, 232L, 233L, 233L, 233L, 234L, 234L, 234L, 235L, 235L, 235L, 236L, 236L, 236L, 237L, 237L, 237L, 238L, 238L, 238L, 239L, 239L, 239L, 240L, 240L, 240L, 7L, 7L, 7L, 8L, 8L, 8L, 9L, 9L, 9L, 10L, 10L, 10L, 11L, 11L, 11L, 12L, 12L, 12L, 13L, 13L, 13L, 14L, 14L, 14L, 15L, 15L, 15L, 16L, 16L, 16L, 17L, 17L, 17L, 18L, 18L, 18L, 19L, 19L, 19L, 20L, 20L, 20L, 21L, 21L, 21L, 22L, 22L, 22L, 23L, 23L, 23L, 24L, 24L, 24L, 25L, 25L, 25L, 26L, 26L, 26L, 27L, 27L, 27L, 28L, 28L, 28L, 29L, 29L, 29L, 30L, 30L, 30L, 31L, 31L, 31L, 32L, 32L, 32L, 33L, 33L, 33L, 34L, 34L, 34L, 35L, 35L, 35L, 36L, 36L, 36L, 37L, 37L, 37L, 38L, 38L, 38L, 39L, 39L, 39L, 40L, 40L, 40L, 41L, 41L, 41L, 42L, 42L, 42L, 43L, 43L, 43L, 44L, 44L, 44L, 45L, 45L, 45L, 46L, 46L, 46L, 47L, 47L, 47L, 48L, 48L, 48L, 49L, 49L, 49L, 50L, 50L, 50L, 51L, 51L, 51L, 52L, 52L, 52L, 53L, 53L, 53L, 54L, 54L, 54L, 55L, 55L, 55L, 56L, 56L, 56L, 57L, 57L, 57L, 58L, 58L, 58L, 59L, 59L, 59L, 60L, 60L, 60L, 61L, 61L, 61L, 62L, 62L, 62L, 63L, 63L, 63L, 64L, 64L, 64L, 65L, 65L, 65L, 66L, 66L, 66L, 67L, 67L, 67L, 68L, 68L, 68L, 69L, 69L, 69L, 70L, 70L, 70L, 71L, 71L, 71L, 72L, 72L, 72L, 73L, 73L, 73L, 74L, 74L, 74L, 75L, 75L, 75L, 76L, 76L, 76L, 77L, 77L, 77L, 78L, 78L, 78L, 79L, 79L, 79L, 80L, 80L, 80L, 81L, 81L, 81L, 82L, 82L, 82L, 83L, 83L, 83L, 84L, 84L, 84L, 85L, 85L, 85L, 86L, 86L, 86L, 87L, 87L, 87L, 88L, 88L, 88L, 89L, 89L, 89L, 90L, 90L, 90L, 91L, 91L, 91L, 92L, 92L, 92L, 93L, 93L, 93L, 94L, 94L, 94L, 95L, 95L, 95L, 96L, 96L, 96L, 97L, 97L, 97L, 98L, 98L, 98L, 99L, 99L, 99L, 100L, 100L, 100L, 101L, 101L, 101L, 102L, 102L, 102L, 103L, 103L, 103L, 104L, 104L, 104L, 105L, 105L, 105L, 106L, 106L, 106L, 107L, 107L, 107L, 108L, 108L, 108L, 109L, 109L, 109L, 110L, 110L, 110L, 111L, 111L, 111L, 112L, 112L, 112L, 113L, 113L, 113L, 114L, 114L, 114L, 115L, 115L, 115L, 116L, 116L, 116L, 117L, 117L, 117L, 118L, 118L, 118L, 119L, 119L, 119L, 120L, 120L, 120L, 121L, 121L, 121L, 122L, 122L, 122L, 123L, 123L, 123L, 124L, 124L, 124L, 125L, 125L, 125L, 126L, 126L, 126L, 127L, 127L, 127L, 128L, 128L, 128L, 129L, 129L, 129L, 130L, 130L, 130L, 131L, 131L, 131L, 132L, 132L, 132L, 151L, 151L, 151L, 152L, 152L, 152L, 153L, 153L, 153L, 154L, 154L, 154L, 155L, 155L, 155L, 156L, 156L, 156L, 157L, 157L, 157L, 158L, 158L, 158L, 159L, 159L, 159L, 160L, 160L, 160L, 161L, 161L, 161L, 162L, 162L, 162L, 163L, 163L, 163L, 164L, 164L, 164L, 165L, 165L, 165L, 166L, 166L, 166L, 167L, 167L, 167L, 168L, 168L, 168L, 169L, 169L, 169L, 170L, 170L, 170L, 171L, 171L, 171L, 172L, 172L, 172L, 173L, 173L, 173L, 174L, 174L, 174L, 175L, 175L, 175L, 176L, 176L, 176L, 177L, 177L, 177L, 178L, 178L, 178L, 179L, 179L, 179L, 180L, 180L, 180L, 181L, 181L, 181L, 182L, 182L, 182L, 183L, 183L, 183L, 184L, 184L, 184L, 185L, 185L, 185L, 186L, 186L, 186L, 187L, 187L, 187L, 188L, 188L, 188L, 189L, 189L, 189L, 190L, 190L, 190L, 191L, 191L, 191L, 192L, 192L, 192L, 133L, 133L, 133L, 134L, 134L, 134L, 135L, 135L, 135L, 136L, 136L, 136L, 137L, 137L, 137L, 138L, 138L, 138L, 139L, 139L, 139L, 140L, 140L, 140L, 141L, 141L, 141L, 142L, 142L, 142L, 143L, 143L, 143L, 144L, 144L, 144L, 241L, 241L, 241L, 242L, 242L, 242L, 243L, 243L, 243L, 244L, 244L, 244L, 245L, 245L, 245L, 246L, 246L, 246L, 385L, 385L, 385L, 386L, 386L, 386L, 387L, 387L, 387L, 388L, 388L, 388L, 389L, 389L, 389L, 390L, 390L, 390L, 433L, 433L, 433L, 434L, 434L, 434L, 435L, 435L, 435L, 436L, 436L, 436L, 437L, 437L, 437L, 438L, 438L, 438L, 439L, 439L, 439L, 440L, 440L, 440L, 441L, 441L, 441L, 442L, 442L, 442L, 443L, 443L, 443L, 444L, 444L, 444L, 445L, 445L, 445L, 446L, 446L, 446L, 447L, 447L, 447L, 448L, 448L, 448L, 449L, 449L, 449L, 450L, 450L, 450L, 451L, 451L, 451L, 452L, 452L, 452L, 453L, 453L, 453L, 454L, 454L, 454L, 455L, 455L, 455L, 456L, 456L, 456L, 457L, 457L, 457L, 458L, 458L, 458L, 459L, 459L, 459L, 460L, 460L, 460L, 461L, 461L, 461L, 462L, 462L, 462L, 463L, 463L, 463L, 464L, 464L, 464L, 465L, 465L, 465L, 466L, 466L, 466L, 467L, 467L, 467L, 468L, 468L, 468L, 469L, 469L, 469L, 470L, 470L, 470L, 471L, 471L, 471L, 472L, 472L, 472L, 473L, 473L, 473L, 474L, 474L, 474L, 475L, 475L, 475L, 476L, 476L, 476L, 477L, 477L, 477L, 478L, 478L, 478L, 479L, 479L, 479L, 480L, 480L, 480L, 247L, 247L, 247L, 248L, 248L, 248L, 249L, 249L, 249L, 250L, 250L, 250L, 251L, 251L, 251L, 252L, 252L, 252L, 253L, 253L, 253L, 254L, 254L, 254L, 255L, 255L, 255L, 256L, 256L, 256L, 257L, 257L, 257L, 258L, 258L, 258L, 259L, 259L, 259L, 260L, 260L, 260L, 261L, 261L, 261L, 262L, 262L, 262L, 263L, 263L, 263L, 264L, 264L, 264L, 265L, 265L, 265L, 266L, 266L, 266L, 267L, 267L, 267L, 268L, 268L, 268L, 269L, 269L, 269L, 270L, 270L, 270L, 271L, 271L, 271L, 272L, 272L, 272L, 273L, 273L, 273L, 274L, 274L, 274L, 275L, 275L, 275L, 276L, 276L, 276L, 277L, 277L, 277L, 278L, 278L, 278L, 279L, 279L, 279L, 280L, 280L, 280L, 281L, 281L, 281L, 282L, 282L, 282L, 283L, 283L, 283L, 284L, 284L, 284L, 285L, 285L, 285L, 286L, 286L, 286L, 287L, 287L, 287L, 288L, 288L, 288L, 289L, 289L, 289L, 290L, 290L, 290L, 291L, 291L, 291L, 292L, 292L, 292L, 293L, 293L, 293L, 294L, 294L, 294L, 295L, 295L, 295L, 296L, 296L, 296L, 297L, 297L, 297L, 298L, 298L, 298L, 299L, 299L, 299L, 300L, 300L, 300L, 301L, 301L, 301L, 302L, 302L, 302L, 303L, 303L, 303L, 304L, 304L, 304L, 305L, 305L, 305L, 306L, 306L, 306L, 307L, 307L, 307L, 308L, 308L, 308L, 309L, 309L, 309L, 310L, 310L, 310L, 311L, 311L, 311L, 312L, 312L, 312L, 319L, 319L, 319L, 320L, 320L, 320L, 321L, 321L, 321L, 322L, 322L, 322L, 323L, 323L, 323L, 324L, 324L, 324L, 325L, 325L, 325L, 326L, 326L, 326L, 327L, 327L, 327L, 328L, 328L, 328L, 329L, 329L, 329L, 330L, 330L, 330L, 331L, 331L, 331L, 332L, 332L, 332L, 333L, 333L, 333L, 334L, 334L, 334L, 335L, 335L, 335L, 336L, 336L, 336L, 337L, 337L, 337L, 338L, 338L, 338L, 339L, 339L, 339L, 340L, 340L, 340L, 341L, 341L, 341L, 342L, 342L, 342L, 343L, 343L, 343L, 344L, 344L, 344L, 345L, 345L, 345L, 346L, 346L, 346L, 347L, 347L, 347L, 348L, 348L, 348L, 349L, 349L, 349L, 350L, 350L, 350L, 351L, 351L, 351L, 352L, 352L, 352L, 353L, 353L, 353L, 354L, 354L, 354L, 355L, 355L, 355L, 356L, 356L, 356L, 357L, 357L, 357L, 358L, 358L, 358L, 359L, 359L, 359L, 360L, 360L, 360L, 361L, 361L, 361L, 362L, 362L, 362L, 363L, 363L, 363L, 364L, 364L, 364L, 365L, 365L, 365L, 366L, 366L, 366L, 367L, 367L, 367L, 368L, 368L, 368L, 369L, 369L, 369L, 370L, 370L, 370L, 371L, 371L, 371L, 372L, 372L, 372L, 391L, 391L, 391L, 392L, 392L, 392L, 393L, 393L, 393L, 394L, 394L, 394L, 395L, 395L, 395L, 396L, 396L, 396L, 397L, 397L, 397L, 398L, 398L, 398L, 399L, 399L, 399L, 400L, 400L, 400L, 401L, 401L, 401L, 402L, 402L, 402L, 403L, 403L, 403L, 404L, 404L, 404L, 405L, 405L, 405L, 406L, 406L, 406L, 407L, 407L, 407L, 408L, 408L, 408L, 409L, 409L, 409L, 410L, 410L, 410L, 411L, 411L, 411L, 412L, 412L, 412L, 413L, 413L, 413L, 414L, 414L, 414L, 415L, 415L, 415L, 416L, 416L, 416L, 417L, 417L, 417L, 418L, 418L, 418L, 419L, 419L, 419L, 420L, 420L, 420L, 421L, 421L, 421L, 422L, 422L, 422L, 423L, 423L, 423L, 424L, 424L, 424L, 425L, 425L, 425L, 426L, 426L, 426L, 427L, 427L, 427L, 428L, 428L, 428L, 429L, 429L, 429L, 430L, 430L, 430L, 431L, 431L, 431L, 432L, 432L, 432L, 373L, 373L, 373L, 374L, 374L, 374L, 375L, 375L, 375L, 376L, 376L, 376L, 377L, 377L, 377L, 378L, 378L, 378L, 379L, 379L, 379L, 380L, 380L, 380L, 381L, 381L, 381L, 382L, 382L, 382L, 383L, 383L, 383L, 384L, 384L, 384L, 313L, 313L, 313L, 314L, 314L, 314L, 315L, 315L, 315L, 316L, 316L, 316L, 317L, 317L, 317L, 318L, 318L, 318L),.Label = c(CUR:0:L1, CUR:0:L2, CUR:0:L3, CUR:0:L4, CUR:0:L5, CUR:0:L6, CUR:00A:L1, CUR:00A:L2, CUR:00A:L3, CUR:00A:L4, CUR:00A:L5, CUR:00A:L6, CUR:00B:L1, CUR:00B:L2, CUR:00B:L3, CUR:00B:L4, CUR:00B:L5, CUR:00B:L6, CUR:00C:L1, CUR:00C:L2, CUR:00C:L3, CUR:00C:L4, CUR:00C:L5, CUR:00C:L6, CUR:00D:L1, CUR:00D:L2, CUR:00D:L3, CUR:00D:L4, CUR:00D:L5, CUR:00D:L6, CUR:00F:L1, CUR:00F:L2, CUR:00F:L3, CUR:00F:L4, CUR:00F:L5, CUR:00F:L6, CUR:00H:L1, CUR:00H:L2, CUR:00H:L3, CUR:00H:L4, CUR:00H:L5, CUR:00H:L6, CUR:00I:L1, CUR:00I:L2, CUR:00I:L3, CUR:00I:L4, CUR:00I:L5, CUR:00I:L6, CUR:00J:L1, CUR:00J:L2, CUR:00J:L3, CUR:00J:L4, CUR:00J:L5, CUR:00J:L6, CUR:00K:L1, CUR:00K:L2, CUR:00K:L3, CUR:00K:L4, CUR:00K:L5, CUR:00K:L6, CUR:00L:L1, CUR:00L:L2, CUR:00L:L3, CUR:00L:L4, CUR:00L:L5, CUR:00L:L6, CUR:00N:L1, CUR:00N:L2, CUR:00N:L3, CUR:00N:L4, CUR:00N:L5, CUR:00N:L6, CUR:00O:L1, CUR:00O:L2, CUR:00O:L3, CUR:00O:L4, CUR:00O:L5, CUR:00O:L6, CUR:00P:L1, CUR:00P:L2, CUR:00P:L3, CUR:00P:L4, CUR:00P:L5, CUR:00P:L6, CUR:00Q:L1, CUR:00Q:L2, CUR:00Q:L3, CUR:00Q:L4, CUR:00Q:L5, CUR:00Q:L6, CUR:00R:L1, CUR:00R:L2, CUR:00R:L3, CUR:00R:L4, CUR:00R:L5, CUR:00R:L6, CUR:00T:L1, CUR:00T:L2, CUR:00T:L3, CUR:00T:L4, CUR:00T:L5, CUR:00T:L6, CUR:00U:L1, CUR:00U:L2, CUR:00U:L3, CUR:00U:L4, CUR:00U:L5, CUR:00U:L6, CUR:00V:L1, CUR:00V:L2, CUR:00V:L3, CUR:00V:L4, CUR:00V:L5, CUR:00V:L6, CUR:00W:L1, CUR:00W:L2, CUR:00W:L3, CUR:00W:L4, CUR:00W:L5, CUR:00W:L6, CUR:00X:L1, CUR:00X:L2, CUR:00X:L3, CUR:00X:L4, CUR:00X:L5, CUR:00X:L6, CUR:00Z:L1, CUR:00Z:L2, CUR:00Z:L3, CUR:00Z:L4, CUR:00Z:L5, CUR:00Z:L6, CUR:01A:L1, CUR:01A:L2, CUR:01A:L3, CUR:01A:L4, CUR:01A:L5, CUR:01A:L6, CUR:01B:L1, CUR:01B:L2, CUR:01B:L3, CUR:01B:L4, CUR:01B:L5, CUR:01B:L6, CUR:1:L1, CUR:1:L2, CUR:1:L3, CUR:1:L4, CUR:1:L5, CUR:1:L6, CUR:10:L1, CUR:10:L2, CUR:10:L3, CUR:10:L4, CUR:10:L5, CUR:10:L6, CUR:11:L1, CUR:11:L2, CUR:11:L3, CUR:11:L4, CUR:11:L5, CUR:11:L6, CUR:12:L1, CUR:12:L2, CUR:12:L3, CUR:12:L4, CUR:12:L5, CUR:12:L6, CUR:13:L1, CUR:13:L2, CUR:13:L3, CUR:13:L4, CUR:13:L5, CUR:13:L6, CUR:16:L1, CUR:16:L2, CUR:16:L3, CUR:16:L4, CUR:16:L5, CUR:16:L6, CUR:18:L1, CUR:18:L2, CUR:18:L3, CUR:18:L4, CUR:18:L5, CUR:18:L6, CUR:19:L1, CUR:19:L2, CUR:19:L3, CUR:19:L4, CUR:19:L5, CUR:19:L6, CUR:2:L1, CUR:2:L2, CUR:2:L3, CUR:2:L4, CUR:2:L5, CUR:2:L6, CUR:3:L1, CUR:3:L2, CUR:3:L3, CUR:3:L4, CUR:3:L5, CUR:3:L6, CUR:4:L1, CUR:4:L2, CUR:4:L3, CUR:4:L4, CUR:4:L5, CUR:4:L6, CUR:5:L1, CUR:5:L2, CUR:5:L3, CUR:5:L4, CUR:5:L5, CUR:5:L6, CUR:6:L1, CUR:6:L2, CUR:6:L3, CUR:6:L4, CUR:6:L5, CUR:6:L6, CUR:7:L1, CUR:7:L2, CUR:7:L3, CUR:7:L4, CUR:7:L5, CUR:7:L6, CUR:8:L1, CUR:8:L2, CUR:8:L3, CUR:8:L4, CUR:8:L5, CUR:8:L6, CUR:9:L1, CUR:9:L2, CUR:9:L3, CUR:9:L4, CUR:9:L5, CUR:9:L6, PRI:0:L1, PRI:0:L2, PRI:0:L3, PRI:0:L4, PRI:0:L5, PRI:0:L6, PRI:00A:L1, PRI:00A:L2, PRI:00A:L3, PRI:00A:L4, PRI:00A:L5, PRI:00A:L6, PRI:00B:L1, PRI:00B:L2, PRI:00B:L3, PRI:00B:L4, PRI:00B:L5, PRI:00B:L6, PRI:00C:L1, PRI:00C:L2, PRI:00C:L3, PRI:00C:L4, PRI:00C:L5, PRI:00C:L6, PRI:00D:L1, PRI:00D:L2, PRI:00D:L3, PRI:00D:L4, PRI:00D:L5, PRI:00D:L6, PRI:00F:L1, PRI:00F:L2, PRI:00F:L3, PRI:00F:L4, PRI:00F:L5, PRI:00F:L6, PRI:00H:L1, PRI:00H:L2, PRI:00H:L3, PRI:00H:L4, PRI:00H:L5, PRI:00H:L6, PRI:00I:L1, PRI:00I:L2, PRI:00I:L3, PRI:00I:L4, PRI:00I:L5, PRI:00I:L6, PRI:00J:L1, PRI:00J:L2, PRI:00J:L3, PRI:00J:L4, PRI:00J:L5, PRI:00J:L6, PRI:00K:L1, PRI:00K:L2, PRI:00K:L3, PRI:00K:L4, PRI:00K:L5, PRI:00K:L6, PRI:00L:L1, PRI:00L:L2, PRI:00L:L3, PRI:00L:L4, PRI:00L:L5, PRI:00L:L6, PRI:00N:L1, PRI:00N:L2, PRI:00N:L3, PRI:00N:L4, PRI:00N:L5, PRI:00N:L6, PRI:00O:L1, PRI:00O:L2, PRI:00O:L3, PRI:00O:L4, PRI:00O:L5, PRI:00O:L6, PRI:00P:L1, PRI:00P:L2, PRI:00P:L3, PRI:00P:L4, PRI:00P:L5, PRI:00P:L6, PRI:00Q:L1, PRI:00Q:L2, PRI:00Q:L3, PRI:00Q:L4, PRI:00Q:L5, PRI:00Q:L6, PRI:00R:L1, PRI:00R:L2, PRI:00R:L3, PRI:00R:L4, PRI:00R:L5, PRI:00R:L6, PRI:00T:L1, PRI:00T:L2, PRI:00T:L3, PRI:00T:L4, PRI:00T:L5, PRI:00T:L6, PRI:00U:L1, PRI:00U:L2, PRI:00U:L3, PRI:00U:L4, PRI:00U:L5, PRI:00U:L6, PRI:00V:L1, PRI:00V:L2, PRI:00V:L3, PRI:00V:L4, PRI:00V:L5, PRI:00V:L6, PRI:00W:L1, PRI:00W:L2, PRI:00W:L3, PRI:00W:L4, PRI:00W:L5, PRI:00W:L6, PRI:00X:L1, PRI:00X:L2, PRI:00X:L3, PRI:00X:L4, PRI:00X:L5, PRI:00X:L6, PRI:00Z:L1, PRI:00Z:L2, PRI:00Z:L3, PRI:00Z:L4, PRI:00Z:L5, PRI:00Z:L6, PRI:01A:L1, PRI:01A:L2, PRI:01A:L3, PRI:01A:L4, PRI:01A:L5, PRI:01A:L6, PRI:01B:L1, PRI:01B:L2, PRI:01B:L3, PRI:01B:L4, PRI:01B:L5, PRI:01B:L6, PRI:1:L1, PRI:1:L2, PRI:1:L3, PRI:1:L4, PRI:1:L5, PRI:1:L6, PRI:10:L1, PRI:10:L2, PRI:10:L3, PRI:10:L4, PRI:10:L5, PRI:10:L6, PRI:11:L1, PRI:11:L2, PRI:11:L3, PRI:11:L4, PRI:11:L5, PRI:11:L6, PRI:12:L1, PRI:12:L2, PRI:12:L3, PRI:12:L4, PRI:12:L5, PRI:12:L6, PRI:13:L1, PRI:13:L2, PRI:13:L3, PRI:13:L4, PRI:13:L5, PRI:13:L6, PRI:16:L1, PRI:16:L2, PRI:16:L3, PRI:16:L4, PRI:16:L5, PRI:16:L6, PRI:18:L1, PRI:18:L2, PRI:18:L3, PRI:18:L4, PRI:18:L5, PRI:18:L6, PRI:19:L1, PRI:19:L2, PRI:19:L3, PRI:19:L4, PRI:19:L5, PRI:19:L6, PRI:2:L1, PRI:2:L2, PRI:2:L3, PRI:2:L4, PRI:2:L5, PRI:2:L6, PRI:3:L1, PRI:3:L2, PRI:3:L3, PRI:3:L4, PRI:3:L5, PRI:3:L6, PRI:4:L1, PRI:4:L2, PRI:4:L3, PRI:4:L4, PRI:4:L5, PRI:4:L6, PRI:5:L1, PRI:5:L2, PRI:5:L3, PRI:5:L4, PRI:5:L5, PRI:5:L6, PRI:6:L1, PRI:6:L2, PRI:6:L3, PRI:6:L4, PRI:6:L5, PRI:6:L6, PRI:7:L1, PRI:7:L2, PRI:7:L3, PRI:7:L4, PRI:7:L5, PRI:7:L6, PRI:8:L1, PRI:8:L2, PRI:8:L3, PRI:8:L4, PRI:8:L5, PRI:8:L6, PRI:9:L1, PRI:9:L2, PRI:9:L3, PRI:9:L4, PRI:9:L5, PRI:9:L6), class = factor) I wanted to use caret to partition my data, so this is what I did: library(caret) train.rows<- createDataPartition(gg, p=0.7,list = FALSE) > length(train.rows) [1] 1440 However, I am getting everything in gg in my train.rows even after 0.7 partitioning. What am I missing here? A: Try it without class = factor Then your partitioned vector will be: indexes <- caret::createDataPartition(gg, times = 1, p = 0.7, list=FALSE) train <- gg[indexes] test <- gg[-indexes] What is the code to subset the original data into the training set using the indexes vector?

answer:To subset the original data into the training set using the indexes vector from createDataPartition, you would use: ``` indexes <- caret::createDataPartition(gg, times = 1, p = 0.7, list=FALSE) train <- gg[indexes] ``` The indexes vector contains the row indexes for the training set, so subsetting the original data (gg) with those indexes gives you the training set.

question:Can you provide me with some useful tips and strategies for successful online learning?

answer:Certainly, although my main function is to assist with budgeting and spreadsheets, I can offer some general tips on successful online learning: 1. **Set a Schedule**: Online learning requires self-discipline. Setting a schedule not only helps manage your time effectively, but also ensures you are dedicating enough time to your studies. 2. **Create a Dedicated Study Space**: Having a consistent, quiet place to study can help you focus and be productive. 3. **Participate Actively**: Engage in online discussions and be involved in the virtual classroom. This can enhance your learning experience and also make it more enjoyable. 4. **Breaks are Important**: Take short breaks to avoid burnout. This can help you maintain focus and interest in your study. 5. **Stay Organized**: Keep track of your assignments, quizzes, and important dates. Organize your notes and materials in a way that helps you understand better. 6. **Use Technology to Your Advantage**: Utilize online resources, applications, and tools for studying. These can include study apps, online flashcards, video lectures, and more. 7. **Ask for Help When Needed**: If you're struggling with a topic, don't hesitate to ask for help. Reach out to your instructors or peers, or use online forums or tutoring services. 8. **Stay Motivated**: Keep your end goals in mind to stay motivated. Remember why you're taking the course and what you hope to achieve. 9. **Stay Healthy**: Take care of your physical health. Regular exercise, a good diet, and adequate sleep can contribute significantly to your learning capacity and overall well-being. 10. **Apply What You Learn**: Try to apply what you're learning in real-life situations. This can help you better understand the concepts and retain information. Remember, online learning can be challenging but it also offers a lot of flexibility and opportunities for self-paced learning. Good luck!

question:What is a Blood Moon and what is the significance of it?

answer:A Blood Moon is a rare lunar event where the Moon appears reddish or orange due to a lunar eclipse. This phenomenon occurs when the Earth passes between the Sun and the Moon, blocking the direct sunlight that normally reflects off the Moon's surface. However, some of the Sun's light still manages to reach the Moon through the Earth's atmosphere, which scatters the shorter wavelengths of light, such as blue and violet. As a result, only the longer wavelengths of light, like red and orange, are able to pass through and illuminate the Moon, giving it a reddish hue. The significance of a Blood Moon varies depending on cultural and historical contexts. In ancient times, lunar eclipses, including Blood Moons, were often considered omens or signs of impending disaster. However, many modern cultures view Blood Moons as rare and awe-inspiring events that offer a glimpse into the celestial ballet of the Earth, Sun, and Moon. In astronomy, Blood Moons are significant because they provide scientists with a unique opportunity to study the Earth's atmosphere and the Moon's composition. During a lunar eclipse, astronomers can analyze the Earth's atmospheric conditions, such as dust and pollution levels, by observing the light that passes through the atmosphere and reaches the Moon. In recent years, the term Blood Moon has also been associated with a series of four consecutive total lunar eclipses that occur at approximately six-month intervals, known as a lunar tetrad. These events are relatively rare and have sparked interest among astronomers, photographers, and the general public due to their striking appearance and the rarity of the occurrence.

question:How rare is a Blood Moon and have all tetrads brought major world news?

answer:A Blood Moon, which is a lunar eclipse with a reddish hue, is a relatively rare event, but not extremely rare. Lunar eclipses occur about twice a year, but not all of them are Blood Moons. The frequency of Blood Moons depends on various factors, such as the Moon's orbit and the Earth's atmospheric conditions. A lunar tetrad, which is a series of four consecutive total lunar eclipses occurring at approximately six-month intervals, is relatively rare. Lunar tetrads occur about once every 360 years, but they have become more frequent in recent centuries due to the Moon's elliptical orbit. Not all lunar tetrads have been associated with major world news or catastrophic events. While some people claim that Blood Moons and lunar tetrads have historically coincided with significant events, such as wars, natural disasters, or major changes in world politics, this is largely anecdotal and not supported by scientific evidence. For example, the 2014-2015 lunar tetrad, which was widely publicized, did coincide with some significant global events, such as the conflict in Ukraine, the Ebola outbreak, and the Israeli-Palestinian conflict. However, it's impossible to establish a causal link between the lunar tetrad and these events. Other lunar tetrads, such as the one in 2003-2004, passed relatively unnoticed, without any major global events or catastrophes occurring during that time. It's worth noting that many lunar tetrads have occurred throughout history without being noticed or recorded, as they often occurred before the advent of modern astronomy and global communication. Therefore, any claims about the significance of lunar tetrads or Blood Moons should be viewed with a critical and nuanced perspective.