[R] code for year month day hr format
Rui Barradas
ru|pb@rr@d@@ @end|ng |rom @@po@pt
Mon Jun 17 09:14:36 CEST 2024
Às 07:53 de 17/06/2024, Jibrin Alhassan escreveu:
> Part of it is pasted below
> YEAR DOY HR IMF SWS SSN Dst f10.7
> 2012 1 0 4.0 379. 71 -8 999.9
> 2012 1 1 4.4 386. 71 -3 999.9
> 2012 1 2 4.8 380. 71 -4 999.9
> 2012 1 3 5.4 374. 71 -5 999.9
> 2012 1 4 4.5 369. 71 -9 999.9
> 2012 1 5 4.2 368. 71 -7 999.9
> 2012 1 6 4.7 367. 71 -6 999.9
> 2012 1 7 4.1 361. 71 -10 999.9
> 2012 1 8 3.2 362. 71 -7 999.9
> 2012 1 9 4.3 367. 71 -3 999.9
> 2012 1 10 4.5 365. 71 -6 999.9
> 2012 1 11 5.6 369. 71 -8 999.9
> 2012 1 12 5.2 366. 71 -8 999.9
> 2012 1 13 4.4 370. 71 -7 999.9
> 2012 1 14 4.8 357. 71 -5 999.9
> 2012 1 15 4.6 354. 71 -8 999.9
> 2012 1 16 3.7 382. 71 -7 999.9
> 2012 1 17 3.2 376. 71 -2 999.9
> 2012 1 18 2.8 368. 71 2 999.9
> 2012 1 19 3.2 361. 71 2 999.9
> 2012 1 20 3.2 361. 71 -3 999.9
> 2012 1 21 3.5 365. 71 -5 999.9
> 2012 1 22 3.6 364. 71 -3 999.9
> 2012 1 23 3.0 362. 71 -3 999.9
> 2012 2 0 3.2 359. 92 -5 130.3
> 2012 2 1 3.0 361. 92 -4 130.3
> 2012 2 2 4.5 374. 92 3 130.3
> 2012 2 3 4.5 364. 92 5 130.3
> 2012 2 4 5.1 352. 92 3 130.3
> 2012 2 5 4.9 358. 92 3 130.3
> 2012 2 6 4.4 346. 92 4 130.3
> 2012 2 7 4.2 349. 92 7 130.3
> 2012 2 8 4.5 346. 92 8 130.3
> 2012 2 9 5.2 345. 92 7 130.3
> 2012 2 10 5.0 349. 92 5 130.3
> 2012 2 11 4.8 345. 92 0 130.3
> 2012 2 12 5.3 347. 92 0 130.3
> 2012 2 13 5.5 342. 92 0 130.3
> 2012 2 14 6.1 359. 92 1 130.3
> 2012 2 15 6.2 393. 92 8 130.3
> 2012 2 16 6.7 390. 92 10 130.3
> 2012 2 17 7.7 369. 92 10 130.3
> 2012 2 18 9.4 380. 92 14 130.3
> 2012 2 19 10.6 386. 92 12 130.3
> 2012 2 20 10.2 378. 92 11 130.3
> 2012 2 21 11.6 369. 92 7 130.3
> 2012 2 22 12.0 369. 92 8 130.3
> 2012 2 23 10.5 361. 92 1 130.3
> 2012 3 0 11.3 403. 120 -7 130.2
> 2012 3 1 10.3 412. 120 -14 130.2
> 2012 3 2 8.8 419. 120 -18 130.2
> 2012 3 3 8.3 412. 120 -23 130.2
> 2012 3 4 8.0 408. 120 -25 130.2
> 2012 3 5 7.0 380. 120 -28 130.2
> 2012 3 6 6.9 374. 120 -29 130.2
> 2012 3 7 6.9 372. 120 -30 130.2
> 2012 3 8 7.1 365. 120 -32 130.2
> 2012 3 9 6.8 376. 120 -35 130.2
> 2012 3 10 6.7 380. 120 -35 130.2
> 2012 3 11 6.4 381. 120 -30 130.2
> 2012 3 12 5.9 401. 120 -26 130.2
> 2012 3 13 5.9 405. 120 -23 130.2
> 2012 3 14 5.9 413. 120 -20 130.2
> 2012 3 15 5.9 406. 120 -20 130.2
> 2012 3 16 6.3 427. 120 -20 130.2
> 2012 3 17 5.9 424. 120 -19 130.2
> 2012 3 18 4.8 390. 120 -16 130.2
> 2012 3 19 4.8 374. 120 -15 130.2
> 2012 3 20 4.8 374. 120 -15 130.2
> 2012 3 21 5.1 378. 120 -18 130.2
> 2012 3 22 4.9 375. 120 -19 130.2
> 2012 3 23 4.7 364. 120 -17 130.2
> 2012 4 0 4.3 359. 126 -17 131.6
> 2012 4 1 4.3 359. 126 -15 131.6
> 2012 4 2 4.2 358. 126 -13 131.6
> 2012 4 3 3.8 359. 126 -13 131.6
> 2012 4 4 3.8 358. 126 -13 131.6
> 2012 4 5 3.7 359. 126 -14 131.6
> 2012 4 6 3.9 361. 126 -13 131.6
> 2012 4 7 3.7 364. 126 -13 131.6
> 2012 4 8 3.7 366. 126 -12 131.6
> 2012 4 9 3.8 363. 126 -10 131.6
> 2012 4 10 3.5 363. 126 -8 131.6
> 2012 4 11 3.0 352. 126 -10 131.6
> 2012 4 12 3.1 348. 126 -12 131.6
> 2012 4 13 3.3 340. 126 -9 131.6
> 2012 4 14 4.0 343. 126 -8 131.6
> 2012 4 15 4.2 343. 126 -7 131.6
> 2012 4 16 3.8 336. 126 -5 131.6
> 2012 4 17 3.9 334. 126 -6 131.6
> 2012 4 18 3.8 329. 126 -5 131.6
> 2012 4 19 3.8 326. 126 -4 131.6
> 2012 4 20 4.3 337. 126 -3 131.6
> 2012 4 21 3.9 331. 126 0 131.6
> 2012 4 22 3.8 322. 126 -1 131.6
> 2012 4 23 3.5 331. 126 -1 131.6
> 2012 5 0 3.9 312. 109 -3 136.6
> 2012 5 1 3.6 311. 109 -1 136.6
> 2012 5 2 3.7 312. 109 0 136.6
> 2012 5 3 3.8 308. 109 0 136.6
> 2012 5 4 4.0 305. 109 2 136.6
> 2012 5 5 4.5 309. 109 2 136.6
> 2012 5 6 3.5 314. 109 3 136.6
> 2012 5 7 3.6 305. 109 2 136.6
> 2012 5 8 4.3 307. 109 2 136.6
> 2012 5 9 4.6 316. 109 1 136.6
> 2012 5 10 5.0 321. 109 -4 136.6
> 2012 5 11 5.1 321. 109 -6 136.6
> 2012 5 12 4.6 326. 109 -4 136.6
> 2012 5 13 5.7 321. 109 -2 136.6
> 2012 5 14 5.0 316. 109 1 136.6
> 2012 5 15 4.6 315. 109 2 136.6
> 2012 5 16 5.5 321. 109 7 136.6
> 2012 5 17 7.2 327. 109 7 136.6
> 2012 5 18 9.2 329. 109 3 136.6
> 2012 5 19 9.4 341. 109 3 136.6
> 2012 5 20 9.2 345. 109 8 136.6
> 2012 5 21 9.8 344. 109 9 136.6
> 2012 5 22 9.8 341. 109 10 136.6
> 2012 5 23 10.0 351. 109 15 136.6
> 2012 6 0 10.4 356. 113 12 131.0
> 2012 6 1 9.1 360. 113 10 131.0
> 2012 6 2 6.6 392. 113 10 131.0
> 2012 6 3 6.9 418. 113 7 131.0
> 2012 6 4 6.5 408. 113 4 131.0
> 2012 6 5 6.6 413. 113 7 131.0
> 2012 6 6 7.3 428. 113 6 131.0
> 2012 6 7 7.3 416. 113 4 131.0
> 2012 6 8 7.0 411. 113 1 131.0
> 2012 6 9 7.2 415. 113 1 131.0
> 2012 6 10 7.2 426. 113 0 131.0
> 2012 6 11 6.5 431. 113 -2 131.0
> 2012 6 12 6.4 431. 113 -2 131.0
> 2012 6 13 6.6 435. 113 0 131.0
> 2012 6 14 6.2 425. 113 2 131.0
> 2012 6 15 5.7 431. 113 4 131.0
> 2012 6 16 6.1 431. 113 1 131.0
> 2012 6 17 5.7 425. 113 -3 131.0
> 2012 6 18 5.8 431. 113 -1 131.0
> 2012 6 19 6.4 425. 113 2 131.0
> 2012 6 20 6.0 434. 113 1 131.0
> 2012 6 21 6.3 420. 113 0 131.0
> 2012 6 22 6.3 440. 113 -3 131.0
> 2012 6 23 6.5 456. 113 -3 131.0
> 2012 7 0 6.3 435. 113 -5 135.9
> 2012 7 1 5.9 428. 113 -1 135.9
> 2012 7 2 5.7 434. 113 1 135.9
> 2012 7 3 5.3 423. 113 0 135.9
> 2012 7 4 4.3 417. 113 1 135.9
> 2012 7 5 5.4 420. 113 0 135.9
> 2012 7 6 5.7 434. 113 1 135.9
> 2012 7 7 5.5 423. 113 1 135.9
> 2012 7 8 4.8 419. 113 -2 135.9
> 2012 7 9 5.8 421. 113 -6 135.9
> 2012 7 10 5.3 412. 113 -9 135.9
> 2012 7 11 4.6 424. 113 -7 135.9
> 2012 7 12 4.0 439. 113 -3 135.9
> 2012 7 13 4.8 431. 113 -1 135.9
> 2012 7 14 5.1 431. 113 -1 135.9
> 2012 7 15 4.8 427. 113 -1 135.9
> 2012 7 16 4.7 429. 113 -5 135.9
> 2012 7 17 5.3 436. 113 -6 135.9
> 2012 7 18 5.1 426. 113 -5 135.9
> 2012 7 19 5.2 427. 113 -4 135.9
> 2012 7 20 4.5 416. 113 -5 135.9
> 2012 7 21 4.9 409. 113 -4 135.9
> 2012 7 22 5.0 417. 113 -4 135.9
> 2012 7 23 5.0 426. 113 -4 135.9
> 2012 8 0 5.0 433. 104 -2 131.4
> 2012 8 1 4.9 426. 104 -2 131.4
> 2012 8 2 4.7 421. 104 -4 131.4
> 2012 8 3 4.4 417. 104 -5 131.4
> 2012 8 4 4.3 416. 104 -8 131.4
> 2012 8 5 4.5 416. 104 -8 131.4
> 2012 8 6 5.0 419. 104 -6 131.4
> 2012 8 7 5.4 446. 104 -1 131.4
> 2012 8 8 5.3 439. 104 -2 131.4
> 2012 8 9 5.3 432. 104 -4 131.4
> 2012 8 10 5.4 434. 104 -4 131.4
> 2012 8 11 5.4 435. 104 -3 131.4
> 2012 8 12 4.5 421. 104 -4 131.4
> 2012 8 13 4.5 422. 104 -4 131.4
> 2012 8 14 5.1 425. 104 -2 131.4
> 2012 8 15 5.3 429. 104 1 131.4
> 2012 8 16 5.5 433. 104 -2 131.4
> 2012 8 17 5.9 440. 104 -2 131.4
> 2012 8 18 6.6 445. 104 -1 131.4
> 2012 8 19 6.4 442. 104 -4 131.4
> 2012 8 20 5.9 434. 104 -6 131.4
> 2012 8 21 5.3 429. 104 -7 131.4
> 2012 8 22 4.8 438. 104 -2 131.4
> 2012 8 23 5.3 427. 104 4 131.4
> 2012 9 0 5.5 433. 79 8 137.6
> 2012 9 1 5.2 445. 79 9 137.6
> 2012 9 2 5.4 439. 79 10 137.6
> 2012 9 3 5.3 430. 79 7 137.6
> 2012 9 4 5.1 426. 79 -3 137.6
> 2012 9 5 4.7 415. 79 -6 137.6
> 2012 9 6 5.0 412. 79 -4 137.6
> 2012 9 7 5.2 418. 79 -2 137.6
> 2012 9 8 5.5 441. 79 2 137.6
> 2012 9 9 5.1 441. 79 2 137.6
> 2012 9 10 5.4 430. 79 -2 137.6
> 2012 9 11 5.3 433. 79 -1 137.6
> 2012 9 12 5.5 438. 79 5 137.6
> 2012 9 13 5.4 436. 79 6 137.6
> 2012 9 14 5.7 440. 79 9 137.6
> 2012 9 15 5.9 430. 79 9 137.6
> 2012 9 16 5.8 437. 79 4 137.6
> 2012 9 17 4.9 431. 79 -3 137.6
> 2012 9 18 5.3 424. 79 -3 137.6
> 2012 9 19 5.7 437. 79 -2 137.6
> 2012 9 20 6.1 427. 79 -4 137.6
> 2012 9 21 6.0 409. 79 -7 137.6
> 2012 9 22 6.6 410. 79 -4 137.6
> 2012 9 23 6.4 432. 79 -1 137.6
> 2012 10 0 5.9 434. 70 2 124.6
> 2012 10 1 5.6 424. 70 4 124.6
> 2012 10 2 4.8 435. 70 7 124.6
> 2012 10 3 4.6 425. 70 4 124.6
> 2012 10 4 4.3 424. 70 3 124.6
> 2012 10 5 5.4 426. 70 2 124.6
> 2012 10 6 5.5 434. 70 2 124.6
> 2012 10 7 6.4 435. 70 4 124.6
> 2012 10 8 6.3 436. 70 1 124.6
> 2012 10 9 5.2 431. 70 -6 124.6
> 2012 10 10 4.5 426. 70 -10 124.6
> 2012 10 11 4.6 435. 70 -9 124.6
> 2012 10 12 3.4 425. 70 -5 124.6
> 2012 10 13 4.2 427. 70 -4 124.6
> 2012 10 14 4.0 432. 70 2 124.6
> 2012 10 15 5.5 450. 70 7 124.6
> 2012 10 16 5.9 451. 70 2 124.6
> 2012 10 17 5.5 445. 70 -3 124.6
> 2012 10 18 5.8 442. 70 -2 124.6
> 2012 10 19 5.4 430. 70 -1 124.6
> 2012 10 20 4.9 427. 70 -1 124.6
> 2012 10 21 4.0 436. 70 0 124.6
> 2012 10 22 3.4 445. 70 -1 124.6
> 2012 10 23 4.5 453. 70 0 124.6
> 2012 11 0 5.3 438. 63 1 116.1
> 2012 11 1 5.0 438. 63 3 116.1
> 2012 11 2 5.3 445. 63 3 116.1
> 2012 11 3 4.5 451. 63 2 116.1
> 2012 11 4 5.0 456. 63 -1 116.1
> 2012 11 5 4.6 459. 63 0 116.1
> 2012 11 6 5.1 459. 63 1 116.1
> 2012 11 7 4.0 466. 63 3 116.1
> 2012 11 8 5.0 478. 63 -1 116.1
> 2012 11 9 4.6 489. 63 -2 116.1
> 2012 11 10 4.5 493. 63 -4 116.1
> 2012 11 11 4.5 494. 63 -1 116.1
> 2012 11 12 3.6 504. 63 3 116.1
> 2012 11 13 3.5 496. 63 5 116.1
> 2012 11 14 3.3 497. 63 7 116.1
> 2012 11 15 3.0 498. 63 7 116.1
> 2012 11 16 2.1 503. 63 3 116.1
> 2012 11 17 2.0 495. 63 0 116.1
> 2012 11 18 2.5 492. 63 -2 116.1
> 2012 11 19 2.2 496. 63 -1 116.1
> 2012 11 20 2.4 489. 63 1 116.1
> 2012 11 21 2.6 489. 63 3 116.1
> 2012 11 22 2.6 483. 63 2 116.1
> 2012 11 23 2.6 478. 63 2 116.1
> 2012 12 0 2.9 453. 52 3 113.0
> 2012 12 1 2.2 446. 52 4 113.0
> 2012 12 2 2.4 442. 52 8 113.0
> 2012 12 3 2.6 440. 52 10 113.0
> 2012 12 4 2.2 438. 52 11 113.0
> 2012 12 5 2.8 438. 52 9 113.0
> 2012 12 6 2.0 437. 52 8 113.0
> 2012 12 7 2.4 426. 52 7 113.0
> 2012 12 8 3.0 423. 52 5 113.0
> 2012 12 9 3.3 420. 52 4 113.0
> 2012 12 10 4.0 419. 52 2 113.0
> 2012 12 11 3.8 412. 52 5 113.0
> 2012 12 12 4.2 409. 52 4 113.0
> 2012 12 13 3.5 408. 52 2 113.0
> 2012 12 14 3.7 404. 52 9 113.0
> 2012 12 15 4.5 402. 52 15 113.0
> 2012 12 16 3.6 395. 52 14 113.0
> 2012 12 17 2.4 392. 52 16 113.0
> 2012 12 18 5.8 403. 52 27 113.0
> 2012 12 19 7.6 400. 52 27 113.0
> 2012 12 20 6.9 418. 52 17 113.0
> 2012 12 21 6.9 463. 52 10 113.0
> 2012 12 22 7.3 469. 52 9 113.0
> 2012 12 23 5.5 482. 52 12 113.0
> 2012 13 0 7.7 500. 71 10 120.0
> 2012 13 1 8.7 492. 71 14 120.0
> 2012 13 2 7.8 513. 71 16 120.0
> 2012 13 3 7.5 530. 71 11 120.0
> 2012 13 4 7.1 518. 71 8 120.0
> 2012 13 5 7.0 524. 71 6 120.0
> 2012 13 6 5.9 536. 71 8 120.0
> 2012 13 7 3.6 529. 71 5 120.0
> 2012 13 8 4.1 510. 71 4 120.0
> 2012 13 9 3.9 497. 71 3 120.0
> 2012 13 10 2.4 492. 71 3 120.0
> 2012 13 11 2.6 485. 71 5 120.0
> 2012 13 12 2.9 492. 71 5 120.0
> 2012 13 13 2.6 487. 71 3 120.0
> 2012 13 14 2.3 478. 71 6 120.0
> 2012 13 15 3.2 467. 71 11 120.0
> 2012 13 16 3.4 453. 71 10 120.0
> 2012 13 17 3.2 452. 71 6 120.0
> 2012 13 18 3.0 452. 71 2 120.0
> 2012 13 19 2.8 447. 71 1 120.0
> 2012 13 20 2.5 439. 71 0 120.0
> 2012 13 21 2.5 443. 71 -2 120.0
> 2012 13 22 2.7 442. 71 -3 120.0
> 2012 13 23 3.0 447. 71 -4 120.0
> 2012 14 0 3.5 445. 118 -3 128.0
> 2012 14 1 3.3 440. 118 -1 128.0
> 2012 14 2 3.1 440. 118 1 128.0
> 2012 14 3 2.7 446. 118 0 128.0
> 2012 14 4 2.9 442. 118 -1 128.0
> 2012 14 5 2.9 437. 118 -2 128.0
> 2012 14 6 3.3 431. 118 -3 128.0
> 2012 14 7 2.8 420. 118 -2 128.0
> 2012 14 8 2.3 409. 118 -2 128.0
> 2012 14 9 2.2 407. 118 1 128.0
> 2012 14 10 2.6 405. 118 3 128.0
> 2012 14 11 2.8 401. 118 4 128.0
> 2012 14 12 3.2 398. 118 4 128.0
> 2012 14 13 2.7 400. 118 4 128.0
> 2012 14 14 1.9 399. 118 5 128.0
> 2012 14 15 2.4 395. 118 3 128.0
> 2012 14 16 2.7 389. 118 2 128.0
> 2012 14 17 2.9 385. 118 0 128.0
> 2012 14 18 3.2 384. 118 1 128.0
> 2012 14 19 2.6 380. 118 2 128.0
> 2012 14 20 2.3 378. 118 1 128.0
> 2012 14 21 2.1 374. 118 0 128.0
> 2012 14 22 3.1 367. 118 0 128.0
> 2012 14 23 4.0 366. 118 -1 128.0
> 2012 15 0 4.8 363. 149 0 129.2
> 2012 15 1 4.0 359. 149 2 129.2
> 2012 15 2 3.4 354. 149 2 129.2
> 2012 15 3 3.0 349. 149 5 129.2
> 2012 15 4 2.7 344. 149 7 129.2
> 2012 15 5 2.4 349. 149 11 129.2
> 2012 15 6 2.9 343. 149 12 129.2
> 2012 15 7 3.5 333. 149 7 129.2
> 2012 15 8 3.6 341. 149 4 129.2
> 2012 15 9 3.7 345. 149 1 129.2
> 2012 15 10 3.6 343. 149 2 129.2
> 2012 15 11 3.6 342. 149 3 129.2
> 2012 15 12 3.7 340. 149 7 129.2
> 2012 15 13 3.7 342. 149 8 129.2
> 2012 15 14 4.1 344. 149 9 129.2
> 2012 15 15 3.9 345. 149 4 129.2
> 2012 15 16 4.4 355. 149 8 129.2
> 2012 15 17 4.7 360. 149 11 129.2
> 2012 15 18 5.4 359. 149 12 129.2
> 2012 15 19 6.8 353. 149 8 129.2
> 2012 15 20 6.6 349. 149 6 129.2
> 2012 15 21 5.9 364. 149 2 129.2
> 2012 15 22 5.2 394. 149 1 129.2
> 2012 15 23 6.3 395. 149 5 129.2
> 2012 16 0 6.3 385. 154 6 135.1
> 2012 16 1 6.6 397. 154 2 135.1
> 2012 16 2 6.7 400. 154 4 135.1
> 2012 16 3 6.9 396. 154 5 135.1
> 2012 16 4 7.9 392. 154 5 135.1
> 2012 16 5 4.6 379. 154 10 135.1
> 2012 16 6 8.0 365. 154 13 135.1
> 2012 16 7 6.3 358. 154 16 135.1
> 2012 16 8 7.9 380. 154 12 135.1
> 2012 16 9 10.2 391. 154 10 135.1
> 2012 16 10 8.1 394. 154 8 135.1
> 2012 16 11 12.1 412. 154 -8 135.1
> 2012 16 12 13.2 424. 154 -10 135.1
> 2012 16 13 12.9 433. 154 -8 135.1
> 2012 16 14 9.3 461. 154 -7 135.1
> 2012 16 15 6.6 466. 154 -14 135.1
> 2012 16 16 6.6 493. 154 -11 135.1
> 2012 16 17 7.4 496. 154 -7 135.1
> 2012 16 18 6.2 493. 154 -7 135.1
> 2012 16 19 6.9 492. 154 -13 135.1
> 2012 16 20 6.8 486. 154 -19 135.1
> 2012 16 21 5.6 488. 154 -14 135.1
> 2012 16 22 6.4 464. 154 -11 135.1
> 2012 16 23 6.0 459. 154 -10 135.1
> 2012 17 0 4.9 476. 141 -14 134.5
> 2012 17 1 4.6 460. 141 -20 134.5
> 2012 17 2 4.1 467. 141 -17 134.5
> 2012 17 3 3.7 469. 141 -13 134.5
> 2012 17 4 3.3 472. 141 -12 134.5
> 2012 17 5 2.7 472. 141 -8 134.5
> 2012 17 6 3.5 459. 141 -6 134.5
> 2012 17 7 3.9 459. 141 -6 134.5
> 2012 17 8 4.1 463. 141 -7 134.5
> 2012 17 9 4.1 443. 141 -10 134.5
> 2012 17 10 4.1 446. 141 -14 134.5
> 2012 17 11 4.1 442. 141 -13 134.5
> 2012 17 12 3.6 436. 141 -10 134.5
> 2012 17 13 3.6 433. 141 -6 134.5
> 2012 17 14 4.2 421. 141 -1 134.5
> 2012 17 15 3.7 416. 141 -2 134.5
> 2012 17 16 4.2 410. 141 -1 134.5
> 2012 17 17 4.6 396. 141 -1 134.5
> 2012 17 18 4.5 398. 141 -2 134.5
> 2012 17 19 4.4 397. 141 -6 134.5
> 2012 17 20 4.5 396. 141 -8 134.5
> 2012 17 21 3.5 411. 141 -5 134.5
> 2012 17 22 3.9 425. 141 -5 134.5
> 2012 17 23 4.7 418. 141 -6 134.5
> 2012 18 0 4.6 400. 126 -7 143.4
> 2012 18 1 4.5 413. 126 -3 143.4
> 2012 18 2 4.4 418. 126 2 143.4
> 2012 18 3 4.2 420. 126 2 143.4
> 2012 18 4 4.0 401. 126 -2 143.4
> 2012 18 5 3.8 399. 126 -1 143.4
> 2012 18 6 3.5 388. 126 -1 143.4
> 2012 18 7 4.4 393. 126 -2 143.4
> 2012 18 8 4.7 405. 126 -3 143.4
> 2012 18 9 4.8 409. 126 -4 143.4
> 2012 18 10 4.9 409. 126 -3 143.4
> 2012 18 11 5.0 411. 126 -5 143.4
> 2012 18 12 5.1 405. 126 -5 143.4
> 2012 18 13 5.2 403. 126 -6 143.4
> 2012 18 14 5.1 394. 126 -4 143.4
> 2012 18 15 5.0 391. 126 -5 143.4
> 2012 18 16 4.6 387. 126 -4 143.4
> 2012 18 17 4.7 376. 126 -2 143.4
> 2012 18 18 4.7 381. 126 -1 143.4
> 2012 18 19 4.5 382. 126 -2 143.4
> 2012 18 20 4.9 386. 126 -5 143.4
> 2012 18 21 4.8 375. 126 -5 143.4
> 2012 18 22 4.7 385. 126 -6 143.4
> 2012 18 23 4.7 381. 126 -5 143.4
> 2012 19 0 4.3 372. 105 -3 152.0
> 2012 19 1 4.2 361. 105 -4 152.0
> 2012 19 2 4.0 360. 105 -5 152.0
> 2012 19 3 3.9 362. 105 -4 152.0
> *Jibrin Adejoh Alhassan (Ph.D)*
> Department of Physics and Astronomy,
> University of Nigeria, Nsukka
>
>
> On Mon, Jun 17, 2024 at 7:50 AM Jibrin Alhassan <jibrin.alhassan using unn.edu.ng>
> wrote:
>
>> Hello Rui,
>> Your patience is indeed amazing. Your script tested as shown below worked
>> perfectly well.
>> df1 <- read.table(text = "YEAR DOY HR IMF SW SSN Dst f10.7
>> 2012 215 4 5.1 371. 143 -4 138.6 ", header = TRUE)
>> with(df1, paste(YEAR, DOY)) |> as.Date(format = "%Y %j")
>> df1$Date <- with(df1, paste(YEAR, DOY)) |> as.Date(format = "%Y %j")
>> df1 <- df1[-(1:2)]
>> df1 <- df1[c(ncol(df1), 1:(ncol(df1) - 1L))]
>> head(df1).
>> But I have 43,849 data points. Your script only generated one. Help me
>> with a script that can handle the whole data points. I have tried following
>> your tested solution but was unsuccessful. My regards.
>> *Jibrin Adejoh Alhassan (Ph.D)*
>> Department of Physics and Astronomy,
>> University of Nigeria, Nsukka
>>
>>
>> On Sun, Jun 16, 2024 at 8:33 AM Rui Barradas <ruipbarradas using sapo.pt> wrote:
>>
>>> Às 21:42 de 15/06/2024, Jibrin Alhassan escreveu:
>>>> Thank you Rui. I ran the following script
>>>> df1 <- read.table("solar_hour", header = TRUE)
>>>> df1$date <- as.Date(paste(df1$year, df1$hour),
>>>> format = "%Y %j",
>>>> origin = "2012-08-01-0")
>>>> df2 <- df1[c("date", "IMF", "SWS", "SSN", "Dst", "f10")]
>>>> head(df1)
>>>> #To display all the rows
>>>> print(df2).
>>>> It gave me this error message
>>>>> source ("script.R")
>>>> Error in `$<-.data.frame`(`*tmp*`, date, value = numeric(0)) :
>>>> replacement has 0 rows, data has 38735
>>>>> print(df2)
>>>> Error: object 'df2' not found
>>>>> My data is an hourly data but desire to have the date as
>>>> year month day hour
>>>> 2012 08 01 01
>>>> 2012 08 01 02
>>>> 2012 08 01 03 etc
>>>> Thanks.
>>>>
>>>> *Jibrin Adejoh Alhassan (Ph.D)*
>>>> Department of Physics and Astronomy,
>>>> University of Nigeria, Nsukka
>>>>
>>>>
>>>> On Sat, Jun 15, 2024 at 8:34 PM Rui Barradas <ruipbarradas using sapo.pt>
>>> wrote:
>>>>
>>>>> Às 20:00 de 15/06/2024, Jibrin Alhassan escreveu:
>>>>>> I have solar-geophysical data e.g as blow:
>>>>>> YEAR DOY HR IMF SW SSN Dst f10.7
>>>>>> 2012 214 0 3.4 403. 132 -9 154.6
>>>>>> 2012 214 1 3.7 388. 132 -10 154.6
>>>>>> 2012 214 2 3.7 383. 132 -10 154.6
>>>>>> 2012 214 3 3.7 391. 132 -9 154.6
>>>>>> 2012 214 4 4.2 399. 132 -7 154.6
>>>>>> 2012 214 5 4.1 411. 132 -6 154.6
>>>>>> 2012 214 6 4.0 407. 132 -6 154.6
>>>>>> 2012 214 7 4.2 404. 132 -4 154.6
>>>>>> 2012 214 8 4.3 405. 132 -6 154.6
>>>>>> 2012 214 9 4.4 409. 132 -6 154.6
>>>>>> 2012 214 10 4.4 401. 132 -6 154.6
>>>>>> 2012 214 11 4.5 385. 132 -7 154.6
>>>>>> 2012 214 12 4.7 377. 132 -8 154.6
>>>>>> 2012 214 13 4.7 382. 132 -6 154.6
>>>>>> 2012 214 14 4.3 396. 132 -4 154.6
>>>>>> 2012 214 15 4.1 384. 132 -2 154.6
>>>>>> 2012 214 16 4.0 382. 132 -1 154.6
>>>>>> 2012 214 17 3.9 397. 132 0 154.6
>>>>>> 2012 214 18 3.8 390. 132 1 154.6
>>>>>> 2012 214 19 4.2 400. 132 2 154.6
>>>>>> 2012 214 20 4.6 408. 132 1 154.6
>>>>>> 2012 214 21 4.8 401. 132 -3 154.6
>>>>>> 2012 214 22 4.9 395. 132 -5 154.6
>>>>>> 2012 214 23 5.0 386. 132 -1 154.6
>>>>>> 2012 215 0 5.0 377. 143 -1 138.6
>>>>>> 2012 215 1 4.9 384. 143 -2 138.6
>>>>>> 2012 215 2 4.9 390. 143 -4 138.6
>>>>>> 2012 215 3 4.9 372. 143 -6 138.6
>>>>>> 2012 215 4 5.1 371. 143 -4 138.6
>>>>>> I want to process it to be of the format as shown below
>>>>>> y m d hr imf sws ssn Dst f10.7
>>>>>> 2012-08-01 10 3.4 403. 132 -9 154.6
>>>>>> 2012-08-01 12 3.7 388. 132 -10 154.6
>>>>>> 2012-08-01 15 3.7 383. 132 -10 154.6
>>>>>> 2012-08-01 17 3.7 391. 132 -9 154.6
>>>>>> I want to request an R code to accomplish this task. Thanks for your
>>>>> time.
>>>>>> *Jibrin Adejoh Alhassan (Ph.D)*
>>>>>> Department of Physics and Astronomy,
>>>>>> University of Nigeria, Nsukka
>>>>>>
>>>>>> [[alternative HTML version deleted]]
>>>>>>
>>>>>> ______________________________________________
>>>>>> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
>>>>>> https://stat.ethz.ch/mailman/listinfo/r-help
>>>>>> PLEASE do read the posting guide
>>>>> http://www.R-project.org/posting-guide.html
>>>>>> and provide commented, minimal, self-contained, reproducible code.
>>>>> Hello,
>>>>>
>>>>> To create a date column, paste the first two columns and coerce to
>>> class
>>>>> "Date" with conversion specifications %Y for the 4 digit year and %j
>>> for
>>>>> the day of year. See
>>>>>
>>>>> help("strptime")
>>>>>
>>>>>
>>>>>
>>>>> df1 <- read.table(text = "YEAR DOY HR IMF SW SSN Dst f10.7
>>>>> 2012 214 0 3.4 403. 132 -9 154.6
>>>>> 2012 214 1 3.7 388. 132 -10 154.6
>>>>> 2012 214 2 3.7 383. 132 -10 154.6
>>>>> 2012 214 3 3.7 391. 132 -9 154.6
>>>>> 2012 214 4 4.2 399. 132 -7 154.6
>>>>> 2012 214 5 4.1 411. 132 -6 154.6
>>>>> 2012 214 6 4.0 407. 132 -6 154.6
>>>>> 2012 214 7 4.2 404. 132 -4 154.6
>>>>> 2012 214 8 4.3 405. 132 -6 154.6
>>>>> 2012 214 9 4.4 409. 132 -6 154.6
>>>>> 2012 214 10 4.4 401. 132 -6 154.6
>>>>> 2012 214 11 4.5 385. 132 -7 154.6
>>>>> 2012 214 12 4.7 377. 132 -8 154.6
>>>>> 2012 214 13 4.7 382. 132 -6 154.6
>>>>> 2012 214 14 4.3 396. 132 -4 154.6
>>>>> 2012 214 15 4.1 384. 132 -2 154.6
>>>>> 2012 214 16 4.0 382. 132 -1 154.6
>>>>> 2012 214 17 3.9 397. 132 0 154.6
>>>>> 2012 214 18 3.8 390. 132 1 154.6
>>>>> 2012 214 19 4.2 400. 132 2 154.6
>>>>> 2012 214 20 4.6 408. 132 1 154.6
>>>>> 2012 214 21 4.8 401. 132 -3 154.6
>>>>> 2012 214 22 4.9 395. 132 -5 154.6
>>>>> 2012 214 23 5.0 386. 132 -1 154.6
>>>>> 2012 215 0 5.0 377. 143 -1 138.6
>>>>> 2012 215 1 4.9 384. 143 -2 138.6
>>>>> 2012 215 2 4.9 390. 143 -4 138.6
>>>>> 2012 215 3 4.9 372. 143 -6 138.6
>>>>> 2012 215 4 5.1 371. 143 -4 138.6", header = TRUE)
>>>>>
>>>>>
>>>>> with(df1, paste(YEAR, DOY)) |> as.Date(format = "%Y %j")
>>>>> #> [1] "2012-08-01" "2012-08-01" "2012-08-01" "2012-08-01"
>>> "2012-08-01"
>>>>> #> [6] "2012-08-01" "2012-08-01" "2012-08-01" "2012-08-01"
>>> "2012-08-01"
>>>>> #> [11] "2012-08-01" "2012-08-01" "2012-08-01" "2012-08-01"
>>> "2012-08-01"
>>>>> #> [16] "2012-08-01" "2012-08-01" "2012-08-01" "2012-08-01"
>>> "2012-08-01"
>>>>> #> [21] "2012-08-01" "2012-08-01" "2012-08-01" "2012-08-01"
>>> "2012-08-02"
>>>>> #> [26] "2012-08-02" "2012-08-02" "2012-08-02" "2012-08-02"
>>>>>
>>>>> # now create the column
>>>>> df1$Date <- with(df1, paste(YEAR, DOY)) |> as.Date(format = "%Y %j")
>>>>> # remove the columns no longer needed
>>>>> df1 <- df1[-(1:2)]
>>>>> # relocate the new date column
>>>>> df1 <- df1[c(ncol(df1), 1:(ncol(df1) - 1L))]
>>>>> head(df1)
>>>>> #> Date HR IMF SW SSN Dst f10.7
>>>>> #> 1 2012-08-01 0 3.4 403 132 -9 154.6
>>>>> #> 2 2012-08-01 1 3.7 388 132 -10 154.6
>>>>> #> 3 2012-08-01 2 3.7 383 132 -10 154.6
>>>>> #> 4 2012-08-01 3 3.7 391 132 -9 154.6
>>>>> #> 5 2012-08-01 4 4.2 399 132 -7 154.6
>>>>> #> 6 2012-08-01 5 4.1 411 132 -6 154.6
>>>>>
>>>>>
>>>>> Hope this helps,
>>>>>
>>>>> Rui Barradas
>>>>>
>>>>>
>>>>> --
>>>>> Este e-mail foi analisado pelo software antivírus AVG para verificar a
>>>>> presença de vírus.
>>>>> www.avg.com
>>>>>
>>>>
>>> Hello,
>>>
>>> There is an error in your new code:
>>>
>>>
>>> paste YEAR with DOY, not with HR.
>>>
>>>
>>> As for the rest, is your real data like the one you posted before?
>>> If it is then I don't see anything wrong with my (tested) solution.
>>>
>>>
>>> Hope this helps,
>>>
>>> Rui Barradas
>>>
>>>
>>>
>>> --
>>> Este e-mail foi analisado pelo software antivírus AVG para verificar a
>>> presença de vírus.
>>> www.avg.com
>>>
>>
>
Hello,
I cannot reproduce any error. T is vectorized so I am not understanding
what you mean by the script only generated one data point.
Here is the same code ran on your new data set, the result is as expected.
Note the output of str(). It days that the 1st column is of class "Date"
so it was created from YEAR and DOY and relocated to the 1st position.
Can you post the output of your final df1? Please post
head(df1)
# new data
df1 <- read.table("~/rhelp.txt", header = TRUE)
df1$Date <- with(df1, paste(YEAR, DOY)) |> as.Date(format = "%Y %j")
df1 <- df1[-(1:2)]
df1 <- df1[c(ncol(df1), 1:(ncol(df1) - 1L))]
str(df1)
#> 'data.frame': 436 obs. of 7 variables:
#> $ Date : Date, format: "2012-01-01" "2012-01-01" ...
#> $ HR : int 0 1 2 3 4 5 6 7 8 9 ...
#> $ IMF : num 4 4.4 4.8 5.4 4.5 4.2 4.7 4.1 3.2 4.3 ...
#> $ SWS : num 379 386 380 374 369 368 367 361 362 367 ...
#> $ SSN : int 71 71 71 71 71 71 71 71 71 71 ...
#> $ Dst : int -8 -3 -4 -5 -9 -7 -6 -10 -7 -3 ...
#> $ f10.7: num 1000 1000 1000 1000 1000 ...
head(df1)
#> Date HR IMF SWS SSN Dst f10.7
#> 1 2012-01-01 0 4.0 379 71 -8 999.9
#> 2 2012-01-01 1 4.4 386 71 -3 999.9
#> 3 2012-01-01 2 4.8 380 71 -4 999.9
#> 4 2012-01-01 3 5.4 374 71 -5 999.9
#> 5 2012-01-01 4 4.5 369 71 -9 999.9
#> 6 2012-01-01 5 4.2 368 71 -7 999.9
Hope this helps,
Rui Barradas
--
Este e-mail foi analisado pelo software antivírus AVG para verificar a presença de vírus.
www.avg.com
More information about the R-help
mailing list