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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_percentiles.wasp
Title produced by softwarePercentiles
Date of computationThu, 22 Dec 2011 15:20:03 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/22/t1324585229jxo08e906ib7zii.htm/, Retrieved Fri, 03 May 2024 10:45:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=159944, Retrieved Fri, 03 May 2024 10:45:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsZilverkoers
Estimated Impact93

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Bad example of Hi...] [2010-09-25 09:28:23] [b98453cac15ba1066b407e146608df68]
- R P   [Histogram] [Workshop 1: Task 3] [2011-10-04 18:01:03] [f722e8e78b9e5c5ebaa2263f273aa636]
-         [Histogram] [Paper: Histogram] [2011-12-21 11:23:29] [f722e8e78b9e5c5ebaa2263f273aa636]
- RMPD      [Univariate Data Series] [Paper: Run Sequen...] [2011-12-21 23:42:11] [f722e8e78b9e5c5ebaa2263f273aa636]
- R           [Univariate Data Series] [Paper: Run Sequen...] [2011-12-21 23:57:05] [f722e8e78b9e5c5ebaa2263f273aa636]
- RMP           [Percentiles] [Paper: Q-Q plot] [2011-12-22 20:16:49] [f722e8e78b9e5c5ebaa2263f273aa636]
- R  D              [Percentiles] [Paper: Q-Q plot] [2011-12-22 20:20:03] [3e64eea457df40fcb7af8f28e1ee6256] [Current]
-   PD                [Percentiles] [Paper: Q-Q plot Z...] [2011-12-23 09:02:43] [f722e8e78b9e5c5ebaa2263f273aa636]
-    D                  [Percentiles] [Paper: Q-Q plot V...] [2011-12-23 09:03:44] [f722e8e78b9e5c5ebaa2263f273aa636]
- RM D                  [Kendall tau Correlation Matrix] [Paper: Pearson Co...] [2011-12-23 09:39:07] [f722e8e78b9e5c5ebaa2263f273aa636]
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Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
235
237
237
234
232
237
237
232
232
231
231
236
231
228
229
235
235
243
243
256
253
256
255
256
256
243
248
250
250
244
239
244
241
249
250
253
251
252
257
255
256
256
256
269
263
263
264
264
261
265
267
267
268
269
266
275
273
273
282
286
282
286
282
304
304
298
302
313
322
322
334
331
331
340
331
340
313
331
315
321
321
351
360
343
346
348
346
359
360
375
352
330
337
323
310
299
301
322
322
314
318
315
318
305
305
298
295
289
289
284
281
260
245
250
250
249
246
256
263
254
259
258
257
256
256
274
275
278
278
275
284
286
291
291
279
266
274
274
266
272
274
282
281
282
288
299
298
300
298
298
298
303
292
296
298
301
295
298
302
301
307
306
306
297
299
299
314
317
324
321
321
321
293
279
277
278
266
272
275
267
270
278
278
275
283
288
287
287
284
267
268
274
281
283
280
280
284
292
297
294
296
301
292
301
292
297
299
301
299
303
307
309
312
311
312
308
322
315
315
318
315
315
314
319
318
318
325
324
327
326
332
333
332
324
321
330
329
330
329
329
331
311
303
302
299
297
304
306
308
308
310
313
301
305
293
293
300
300
303
314
312
307
312
307
312
315
319
322
325
326
321
331
328
330
327
329
329
332
335
335
333
337
337
335
337
336
331
340
343
351
351
342
339
327
339
327
327
310
311
311
311
302
309
308
312
312
315
315
317
314
314
316
314
316
315
314
317
320
320
325
326
325
324
328
327
325
325
318
323
323
318
319
319
307
310
308
306
312
313
313
313
310
305
305
308
308
306
298
302
305
303
306
301
301
303
309
310
316
320
320
315
320
315
310
312
308
310
310
313
310
312
310
308
305
301
285
288
292
289
292
291
291
291
294
295
297
295
299
299
296
295
301
303
305
302
302
302
302
293
296
295
298
298
299
296
298
299
291
295
296
294
293
293
276
274
269
274
270
275
271
271
273
274
278
270
279
282
286
286
285
289
285
285
286
289
289
293
305
304
300
300
299
302
306
300
298
295
298
299
297
302
303
306
308
308
302
303
304
296
299
299
300
309
309
313
310
314
308
315
323
343
328
332
327
327
317
323
312
313
306
306
312
309
315
309
315
315
304
301
303
303
307
310
309
309
314
313
305
305
303
303
306
312
312
314
319
319
318
319
326
329
326
325
342
334
344
344
346
340
338
338
346
333
345
344
349
351
354
353
353
356
355
352
350
356
356
350
378
366
375
371
365
367
374
381
378
384
381
402
400
409
416
418
418
404
415
415
401
402
410
416
422
399
397
364
364
351
359
364
363
353
341
339
345
346
357
357
351
358
355
346
353
353
363
363
354
345
347
338
335
339
339
339
327
337
338
341
337
337
343
345
339
335
339
344
344
353
360
357
362
363
348
348
350
338
339
339
340
346
348
348
343
337
336
336
347
345
349
351
351
338
335
335
342
349
346
360
360
362
358
355
355
361
361
371
376
372
373
366
360
364
355
349
350
347
349
347
352
355
353
338
335
336
331
320
297
308
314
263
280
269
280
283
290
282
285
290
290
290
290
282
280
275
279
272
272
247
247
238
237
232
232
257
265
270
282
278
284
281
284
283
269
277
254
252
257
264
265
277
241
247
250
236
225
223
229
239
231
226
227
228
221
239
230
243
242
242
246
247
248
241
232
225
237
229
235
230
225
233
251
245
246
246
250
229
231
232
231
236
241
238
243
237
240
240
246
241
238
244
239
239
228
236
239
240
240
249
255
252
260
250
253
260
249
251
246
249
261
264
268
270
274
287
286
283
280
296
303
300
295
305
315
316
313
318
331
326
333
343
355
357
344
340
348
328
328
331
325
308
311
320
323
319
310
304
308
307
308
301
293
290
304
309
306
302
305
304
308
302
299
298
291
280
278
284
284
280
291
292
295
282
278
285
283
290
296
304
297
297
289
281
287
296
307
318
317
313
311
319
312
315
318
312
312
318
317
319
320
318
326
334
334
339
346
329
346
335
327
332
332
334
320
315
313
314
311
308
301
300
300
307
304
303
295
296
291
291
289
286
275
280
270
279
281
286
286
295
295
290
290
293
299
300
293
288
294
302
300
310
310
310
315
311
309
314
322
312
305
299
300
295
306
302
307
305
305
313
318
321
331
346
346
354
351
346
354
347
348
360
366
360
346
354
356
350
336
333
339
342
348
344
342
351
362
372
368
372
370
371
367
357
360
366
359
361
362
362
354
354
345
344
341
343
358
357
361
364
357
357
361
356
362
374
379
380
382
387
383
384
377
368
370
376
392
389
373
367
367
357
363
352
351
352
356
375
358
361
354
355
374
364
361
362
361
361
356
364
375
391
379
389
387
379
385
399
388
392
395
395
370
376
367
356
362
346
347
350
361
358
334
331
337
337
341
344
342
353
355
354
353
365
366
354
353
363
368
366
376
383
382
386
389
388
382
379
374
380
383
384
385
378
378
378
383
381
382
382
390
401
392
401
406
408
421
412
407
411
405
416
410
397
409
406
406
412
426
423
425
425
423
434
434
440
422
431
442
448
448
475
481
488
476
474
455
455
434
447
455
459
465
464
468
467
468
467
454
470
477
462
467
469
467
469
466
469
482
474
477
468
469
480
474
474
471
443
441
440
436
442
437
444
440
444
440
438
427
421
424
422
436
435
433
420
417
411
430
428
428
426
432
426
426
424
424
431
441
444
447
440
442
439
439
453
459
462
466
464
473
469
474
480
482
486
486
484
484
487
490
491
495
497
496
489
485
490
493
487
495
506
492
500
499
518
517
505
522
519
519
522
519
543
537
537
520
523
526
537
534
536
557
554
550
549
575
595
636
628
594
590
590
605
618
630
638
645
640
640
634
647
682
679
677
697
702
679
685
695
685
688
685
694
694
697
700
695
693
693
722
725
715

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159944&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159944&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159944&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Percentiles - Ungrouped Data
pWeighted Average at XnpWeighted Average at X(n+1)pEmpirical Distribution FunctionEmpirical Distribution Function - AveragingEmpirical Distribution Function - InterpolationClosest ObservationTrue Basic - Statistics Graphics ToolkitMS Excel (old versions)
0.01229229229229229229229229
0.02232232232232232232232232
0.03236236236236236.37236236236
0.04239239239239239239239239
0.05241241.05241241.5241.95241241.95241
0.06245.8245.86246246246246245.14246
0.07249249249249249249249249
0.08251251251251251251251251
0.09255.2255.29256256256255255.71255
0.1257257257257257257257257
0.11263.8263.91264264264264263.09264
0.12267267267267267267267267
0.13270270270270270270270270
0.14274274274274274274274274
0.15275275275275275275275275
0.16278278278278278278278278
0.17280280280280280280280280
0.18282282282282282282282282
0.19283283283283283.01283283283
0.2285285285285285285285285
0.21286.8287287287287287287287
0.22289289289289289289289289
0.23291291291291291291291291
0.24292292292292292292292292
0.25293293.25293293.5293.75293293.75293
0.26295295295295295295295295
0.27296296296296296296296296
0.28297.4297.68298298298297297.32298
0.29298298298298298298298298
0.3299299299299299299299299
0.31300300300300300300300300
0.32301301301301301301301301
0.33302302302302302302302302
0.34303303303303303303303303
0.35303303303303303303303303
0.36304.8305305305305305305305
0.37305305305305305305305305
0.38306306306306306306306306
0.39307.2307.59308308307.81307307.41308
0.4308308308308308308308308
0.41309309309309309309309309
0.42310310310310310310310310
0.43311311311311311311311311
0.44312312312312312312312312
0.45313313313313313313313313
0.46314314314314314314314314
0.47315315315315315315315315
0.48315315315315315315315315
0.49317317317317317317317317
0.5318318318318318318318318
0.51319319319319319319319319
0.52321321321321321321321321
0.53322.4322.93323323322.87322322.07323
0.54325325325325325325325325
0.55327327327327327327327327
0.56328328328328328328328328
0.57330.6331331331331331331331
0.58332332332332332332332332
0.59334334334334334334334334
0.6336336336336336336336336
0.61337337337337337337337337
0.62339339339339339339339339
0.63340340.03340340340340340.97340
0.64343343343343343343343343
0.65344344344344344344344344
0.66346346346346346346346346
0.67347347347347347347347347
0.68349349349349349349349349
0.69351351351351351351351351
0.7353353353353353353353353
0.71354354354354354354354354
0.72355355355355355355355355
0.73357357357357357357357357
0.74359359359359359359359359
0.75361361361361361361361361
0.76362362362362362362362362
0.77364364364364364364364364
0.78367367367367367367367367
0.79371.2371.99372372371.41371371.01372
0.8375375.8375375.5375.2375375.2376
0.81379379379379379379379379
0.82383383383383383383383383
0.83388.4389389389388.57388389389
0.84399399.04399399399399399.96399
0.85407407.85407407.5407.15407407.15408
0.86416416416416416416416416
0.87423.6424424424423.73424424424
0.88430.4431431431430.52430431431
0.89439439.09439439439439439.91439
0.9444444444444444444444444
0.91459461.13459459459459459.87462
0.92468468468468468468468468
0.93474474474474474474474474
0.94484.2485.14485485484.26484485.86485
0.95495495495495495495495495
0.96519.8521.52520520519.84520520.48522
0.97552.4555.71554554552.52554555.29557
0.98636.8638.76638638636.84636639.24638
0.99689693693693689.05688693693

\begin{tabular}{lllllllll}
\hline
Percentiles - Ungrouped Data \tabularnewline
p & Weighted Average at Xnp & Weighted Average at X(n+1)p & Empirical Distribution Function & Empirical Distribution Function - Averaging & Empirical Distribution Function - Interpolation & Closest Observation & True Basic - Statistics Graphics Toolkit & MS Excel (old versions) \tabularnewline
0.01 & 229 & 229 & 229 & 229 & 229 & 229 & 229 & 229 \tabularnewline
0.02 & 232 & 232 & 232 & 232 & 232 & 232 & 232 & 232 \tabularnewline
0.03 & 236 & 236 & 236 & 236 & 236.37 & 236 & 236 & 236 \tabularnewline
0.04 & 239 & 239 & 239 & 239 & 239 & 239 & 239 & 239 \tabularnewline
0.05 & 241 & 241.05 & 241 & 241.5 & 241.95 & 241 & 241.95 & 241 \tabularnewline
0.06 & 245.8 & 245.86 & 246 & 246 & 246 & 246 & 245.14 & 246 \tabularnewline
0.07 & 249 & 249 & 249 & 249 & 249 & 249 & 249 & 249 \tabularnewline
0.08 & 251 & 251 & 251 & 251 & 251 & 251 & 251 & 251 \tabularnewline
0.09 & 255.2 & 255.29 & 256 & 256 & 256 & 255 & 255.71 & 255 \tabularnewline
0.1 & 257 & 257 & 257 & 257 & 257 & 257 & 257 & 257 \tabularnewline
0.11 & 263.8 & 263.91 & 264 & 264 & 264 & 264 & 263.09 & 264 \tabularnewline
0.12 & 267 & 267 & 267 & 267 & 267 & 267 & 267 & 267 \tabularnewline
0.13 & 270 & 270 & 270 & 270 & 270 & 270 & 270 & 270 \tabularnewline
0.14 & 274 & 274 & 274 & 274 & 274 & 274 & 274 & 274 \tabularnewline
0.15 & 275 & 275 & 275 & 275 & 275 & 275 & 275 & 275 \tabularnewline
0.16 & 278 & 278 & 278 & 278 & 278 & 278 & 278 & 278 \tabularnewline
0.17 & 280 & 280 & 280 & 280 & 280 & 280 & 280 & 280 \tabularnewline
0.18 & 282 & 282 & 282 & 282 & 282 & 282 & 282 & 282 \tabularnewline
0.19 & 283 & 283 & 283 & 283 & 283.01 & 283 & 283 & 283 \tabularnewline
0.2 & 285 & 285 & 285 & 285 & 285 & 285 & 285 & 285 \tabularnewline
0.21 & 286.8 & 287 & 287 & 287 & 287 & 287 & 287 & 287 \tabularnewline
0.22 & 289 & 289 & 289 & 289 & 289 & 289 & 289 & 289 \tabularnewline
0.23 & 291 & 291 & 291 & 291 & 291 & 291 & 291 & 291 \tabularnewline
0.24 & 292 & 292 & 292 & 292 & 292 & 292 & 292 & 292 \tabularnewline
0.25 & 293 & 293.25 & 293 & 293.5 & 293.75 & 293 & 293.75 & 293 \tabularnewline
0.26 & 295 & 295 & 295 & 295 & 295 & 295 & 295 & 295 \tabularnewline
0.27 & 296 & 296 & 296 & 296 & 296 & 296 & 296 & 296 \tabularnewline
0.28 & 297.4 & 297.68 & 298 & 298 & 298 & 297 & 297.32 & 298 \tabularnewline
0.29 & 298 & 298 & 298 & 298 & 298 & 298 & 298 & 298 \tabularnewline
0.3 & 299 & 299 & 299 & 299 & 299 & 299 & 299 & 299 \tabularnewline
0.31 & 300 & 300 & 300 & 300 & 300 & 300 & 300 & 300 \tabularnewline
0.32 & 301 & 301 & 301 & 301 & 301 & 301 & 301 & 301 \tabularnewline
0.33 & 302 & 302 & 302 & 302 & 302 & 302 & 302 & 302 \tabularnewline
0.34 & 303 & 303 & 303 & 303 & 303 & 303 & 303 & 303 \tabularnewline
0.35 & 303 & 303 & 303 & 303 & 303 & 303 & 303 & 303 \tabularnewline
0.36 & 304.8 & 305 & 305 & 305 & 305 & 305 & 305 & 305 \tabularnewline
0.37 & 305 & 305 & 305 & 305 & 305 & 305 & 305 & 305 \tabularnewline
0.38 & 306 & 306 & 306 & 306 & 306 & 306 & 306 & 306 \tabularnewline
0.39 & 307.2 & 307.59 & 308 & 308 & 307.81 & 307 & 307.41 & 308 \tabularnewline
0.4 & 308 & 308 & 308 & 308 & 308 & 308 & 308 & 308 \tabularnewline
0.41 & 309 & 309 & 309 & 309 & 309 & 309 & 309 & 309 \tabularnewline
0.42 & 310 & 310 & 310 & 310 & 310 & 310 & 310 & 310 \tabularnewline
0.43 & 311 & 311 & 311 & 311 & 311 & 311 & 311 & 311 \tabularnewline
0.44 & 312 & 312 & 312 & 312 & 312 & 312 & 312 & 312 \tabularnewline
0.45 & 313 & 313 & 313 & 313 & 313 & 313 & 313 & 313 \tabularnewline
0.46 & 314 & 314 & 314 & 314 & 314 & 314 & 314 & 314 \tabularnewline
0.47 & 315 & 315 & 315 & 315 & 315 & 315 & 315 & 315 \tabularnewline
0.48 & 315 & 315 & 315 & 315 & 315 & 315 & 315 & 315 \tabularnewline
0.49 & 317 & 317 & 317 & 317 & 317 & 317 & 317 & 317 \tabularnewline
0.5 & 318 & 318 & 318 & 318 & 318 & 318 & 318 & 318 \tabularnewline
0.51 & 319 & 319 & 319 & 319 & 319 & 319 & 319 & 319 \tabularnewline
0.52 & 321 & 321 & 321 & 321 & 321 & 321 & 321 & 321 \tabularnewline
0.53 & 322.4 & 322.93 & 323 & 323 & 322.87 & 322 & 322.07 & 323 \tabularnewline
0.54 & 325 & 325 & 325 & 325 & 325 & 325 & 325 & 325 \tabularnewline
0.55 & 327 & 327 & 327 & 327 & 327 & 327 & 327 & 327 \tabularnewline
0.56 & 328 & 328 & 328 & 328 & 328 & 328 & 328 & 328 \tabularnewline
0.57 & 330.6 & 331 & 331 & 331 & 331 & 331 & 331 & 331 \tabularnewline
0.58 & 332 & 332 & 332 & 332 & 332 & 332 & 332 & 332 \tabularnewline
0.59 & 334 & 334 & 334 & 334 & 334 & 334 & 334 & 334 \tabularnewline
0.6 & 336 & 336 & 336 & 336 & 336 & 336 & 336 & 336 \tabularnewline
0.61 & 337 & 337 & 337 & 337 & 337 & 337 & 337 & 337 \tabularnewline
0.62 & 339 & 339 & 339 & 339 & 339 & 339 & 339 & 339 \tabularnewline
0.63 & 340 & 340.03 & 340 & 340 & 340 & 340 & 340.97 & 340 \tabularnewline
0.64 & 343 & 343 & 343 & 343 & 343 & 343 & 343 & 343 \tabularnewline
0.65 & 344 & 344 & 344 & 344 & 344 & 344 & 344 & 344 \tabularnewline
0.66 & 346 & 346 & 346 & 346 & 346 & 346 & 346 & 346 \tabularnewline
0.67 & 347 & 347 & 347 & 347 & 347 & 347 & 347 & 347 \tabularnewline
0.68 & 349 & 349 & 349 & 349 & 349 & 349 & 349 & 349 \tabularnewline
0.69 & 351 & 351 & 351 & 351 & 351 & 351 & 351 & 351 \tabularnewline
0.7 & 353 & 353 & 353 & 353 & 353 & 353 & 353 & 353 \tabularnewline
0.71 & 354 & 354 & 354 & 354 & 354 & 354 & 354 & 354 \tabularnewline
0.72 & 355 & 355 & 355 & 355 & 355 & 355 & 355 & 355 \tabularnewline
0.73 & 357 & 357 & 357 & 357 & 357 & 357 & 357 & 357 \tabularnewline
0.74 & 359 & 359 & 359 & 359 & 359 & 359 & 359 & 359 \tabularnewline
0.75 & 361 & 361 & 361 & 361 & 361 & 361 & 361 & 361 \tabularnewline
0.76 & 362 & 362 & 362 & 362 & 362 & 362 & 362 & 362 \tabularnewline
0.77 & 364 & 364 & 364 & 364 & 364 & 364 & 364 & 364 \tabularnewline
0.78 & 367 & 367 & 367 & 367 & 367 & 367 & 367 & 367 \tabularnewline
0.79 & 371.2 & 371.99 & 372 & 372 & 371.41 & 371 & 371.01 & 372 \tabularnewline
0.8 & 375 & 375.8 & 375 & 375.5 & 375.2 & 375 & 375.2 & 376 \tabularnewline
0.81 & 379 & 379 & 379 & 379 & 379 & 379 & 379 & 379 \tabularnewline
0.82 & 383 & 383 & 383 & 383 & 383 & 383 & 383 & 383 \tabularnewline
0.83 & 388.4 & 389 & 389 & 389 & 388.57 & 388 & 389 & 389 \tabularnewline
0.84 & 399 & 399.04 & 399 & 399 & 399 & 399 & 399.96 & 399 \tabularnewline
0.85 & 407 & 407.85 & 407 & 407.5 & 407.15 & 407 & 407.15 & 408 \tabularnewline
0.86 & 416 & 416 & 416 & 416 & 416 & 416 & 416 & 416 \tabularnewline
0.87 & 423.6 & 424 & 424 & 424 & 423.73 & 424 & 424 & 424 \tabularnewline
0.88 & 430.4 & 431 & 431 & 431 & 430.52 & 430 & 431 & 431 \tabularnewline
0.89 & 439 & 439.09 & 439 & 439 & 439 & 439 & 439.91 & 439 \tabularnewline
0.9 & 444 & 444 & 444 & 444 & 444 & 444 & 444 & 444 \tabularnewline
0.91 & 459 & 461.13 & 459 & 459 & 459 & 459 & 459.87 & 462 \tabularnewline
0.92 & 468 & 468 & 468 & 468 & 468 & 468 & 468 & 468 \tabularnewline
0.93 & 474 & 474 & 474 & 474 & 474 & 474 & 474 & 474 \tabularnewline
0.94 & 484.2 & 485.14 & 485 & 485 & 484.26 & 484 & 485.86 & 485 \tabularnewline
0.95 & 495 & 495 & 495 & 495 & 495 & 495 & 495 & 495 \tabularnewline
0.96 & 519.8 & 521.52 & 520 & 520 & 519.84 & 520 & 520.48 & 522 \tabularnewline
0.97 & 552.4 & 555.71 & 554 & 554 & 552.52 & 554 & 555.29 & 557 \tabularnewline
0.98 & 636.8 & 638.76 & 638 & 638 & 636.84 & 636 & 639.24 & 638 \tabularnewline
0.99 & 689 & 693 & 693 & 693 & 689.05 & 688 & 693 & 693 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159944&T=1

[TABLE]
[ROW][C]Percentiles - Ungrouped Data[/C][/ROW]
[ROW][C]p[/C][C]Weighted Average at Xnp[/C][C]Weighted Average at X(n+1)p[/C][C]Empirical Distribution Function[/C][C]Empirical Distribution Function - Averaging[/C][C]Empirical Distribution Function - Interpolation[/C][C]Closest Observation[/C][C]True Basic - Statistics Graphics Toolkit[/C][C]MS Excel (old versions)[/C][/ROW]
[ROW][C]0.01[/C][C]229[/C][C]229[/C][C]229[/C][C]229[/C][C]229[/C][C]229[/C][C]229[/C][C]229[/C][/ROW]
[ROW][C]0.02[/C][C]232[/C][C]232[/C][C]232[/C][C]232[/C][C]232[/C][C]232[/C][C]232[/C][C]232[/C][/ROW]
[ROW][C]0.03[/C][C]236[/C][C]236[/C][C]236[/C][C]236[/C][C]236.37[/C][C]236[/C][C]236[/C][C]236[/C][/ROW]
[ROW][C]0.04[/C][C]239[/C][C]239[/C][C]239[/C][C]239[/C][C]239[/C][C]239[/C][C]239[/C][C]239[/C][/ROW]
[ROW][C]0.05[/C][C]241[/C][C]241.05[/C][C]241[/C][C]241.5[/C][C]241.95[/C][C]241[/C][C]241.95[/C][C]241[/C][/ROW]
[ROW][C]0.06[/C][C]245.8[/C][C]245.86[/C][C]246[/C][C]246[/C][C]246[/C][C]246[/C][C]245.14[/C][C]246[/C][/ROW]
[ROW][C]0.07[/C][C]249[/C][C]249[/C][C]249[/C][C]249[/C][C]249[/C][C]249[/C][C]249[/C][C]249[/C][/ROW]
[ROW][C]0.08[/C][C]251[/C][C]251[/C][C]251[/C][C]251[/C][C]251[/C][C]251[/C][C]251[/C][C]251[/C][/ROW]
[ROW][C]0.09[/C][C]255.2[/C][C]255.29[/C][C]256[/C][C]256[/C][C]256[/C][C]255[/C][C]255.71[/C][C]255[/C][/ROW]
[ROW][C]0.1[/C][C]257[/C][C]257[/C][C]257[/C][C]257[/C][C]257[/C][C]257[/C][C]257[/C][C]257[/C][/ROW]
[ROW][C]0.11[/C][C]263.8[/C][C]263.91[/C][C]264[/C][C]264[/C][C]264[/C][C]264[/C][C]263.09[/C][C]264[/C][/ROW]
[ROW][C]0.12[/C][C]267[/C][C]267[/C][C]267[/C][C]267[/C][C]267[/C][C]267[/C][C]267[/C][C]267[/C][/ROW]
[ROW][C]0.13[/C][C]270[/C][C]270[/C][C]270[/C][C]270[/C][C]270[/C][C]270[/C][C]270[/C][C]270[/C][/ROW]
[ROW][C]0.14[/C][C]274[/C][C]274[/C][C]274[/C][C]274[/C][C]274[/C][C]274[/C][C]274[/C][C]274[/C][/ROW]
[ROW][C]0.15[/C][C]275[/C][C]275[/C][C]275[/C][C]275[/C][C]275[/C][C]275[/C][C]275[/C][C]275[/C][/ROW]
[ROW][C]0.16[/C][C]278[/C][C]278[/C][C]278[/C][C]278[/C][C]278[/C][C]278[/C][C]278[/C][C]278[/C][/ROW]
[ROW][C]0.17[/C][C]280[/C][C]280[/C][C]280[/C][C]280[/C][C]280[/C][C]280[/C][C]280[/C][C]280[/C][/ROW]
[ROW][C]0.18[/C][C]282[/C][C]282[/C][C]282[/C][C]282[/C][C]282[/C][C]282[/C][C]282[/C][C]282[/C][/ROW]
[ROW][C]0.19[/C][C]283[/C][C]283[/C][C]283[/C][C]283[/C][C]283.01[/C][C]283[/C][C]283[/C][C]283[/C][/ROW]
[ROW][C]0.2[/C][C]285[/C][C]285[/C][C]285[/C][C]285[/C][C]285[/C][C]285[/C][C]285[/C][C]285[/C][/ROW]
[ROW][C]0.21[/C][C]286.8[/C][C]287[/C][C]287[/C][C]287[/C][C]287[/C][C]287[/C][C]287[/C][C]287[/C][/ROW]
[ROW][C]0.22[/C][C]289[/C][C]289[/C][C]289[/C][C]289[/C][C]289[/C][C]289[/C][C]289[/C][C]289[/C][/ROW]
[ROW][C]0.23[/C][C]291[/C][C]291[/C][C]291[/C][C]291[/C][C]291[/C][C]291[/C][C]291[/C][C]291[/C][/ROW]
[ROW][C]0.24[/C][C]292[/C][C]292[/C][C]292[/C][C]292[/C][C]292[/C][C]292[/C][C]292[/C][C]292[/C][/ROW]
[ROW][C]0.25[/C][C]293[/C][C]293.25[/C][C]293[/C][C]293.5[/C][C]293.75[/C][C]293[/C][C]293.75[/C][C]293[/C][/ROW]
[ROW][C]0.26[/C][C]295[/C][C]295[/C][C]295[/C][C]295[/C][C]295[/C][C]295[/C][C]295[/C][C]295[/C][/ROW]
[ROW][C]0.27[/C][C]296[/C][C]296[/C][C]296[/C][C]296[/C][C]296[/C][C]296[/C][C]296[/C][C]296[/C][/ROW]
[ROW][C]0.28[/C][C]297.4[/C][C]297.68[/C][C]298[/C][C]298[/C][C]298[/C][C]297[/C][C]297.32[/C][C]298[/C][/ROW]
[ROW][C]0.29[/C][C]298[/C][C]298[/C][C]298[/C][C]298[/C][C]298[/C][C]298[/C][C]298[/C][C]298[/C][/ROW]
[ROW][C]0.3[/C][C]299[/C][C]299[/C][C]299[/C][C]299[/C][C]299[/C][C]299[/C][C]299[/C][C]299[/C][/ROW]
[ROW][C]0.31[/C][C]300[/C][C]300[/C][C]300[/C][C]300[/C][C]300[/C][C]300[/C][C]300[/C][C]300[/C][/ROW]
[ROW][C]0.32[/C][C]301[/C][C]301[/C][C]301[/C][C]301[/C][C]301[/C][C]301[/C][C]301[/C][C]301[/C][/ROW]
[ROW][C]0.33[/C][C]302[/C][C]302[/C][C]302[/C][C]302[/C][C]302[/C][C]302[/C][C]302[/C][C]302[/C][/ROW]
[ROW][C]0.34[/C][C]303[/C][C]303[/C][C]303[/C][C]303[/C][C]303[/C][C]303[/C][C]303[/C][C]303[/C][/ROW]
[ROW][C]0.35[/C][C]303[/C][C]303[/C][C]303[/C][C]303[/C][C]303[/C][C]303[/C][C]303[/C][C]303[/C][/ROW]
[ROW][C]0.36[/C][C]304.8[/C][C]305[/C][C]305[/C][C]305[/C][C]305[/C][C]305[/C][C]305[/C][C]305[/C][/ROW]
[ROW][C]0.37[/C][C]305[/C][C]305[/C][C]305[/C][C]305[/C][C]305[/C][C]305[/C][C]305[/C][C]305[/C][/ROW]
[ROW][C]0.38[/C][C]306[/C][C]306[/C][C]306[/C][C]306[/C][C]306[/C][C]306[/C][C]306[/C][C]306[/C][/ROW]
[ROW][C]0.39[/C][C]307.2[/C][C]307.59[/C][C]308[/C][C]308[/C][C]307.81[/C][C]307[/C][C]307.41[/C][C]308[/C][/ROW]
[ROW][C]0.4[/C][C]308[/C][C]308[/C][C]308[/C][C]308[/C][C]308[/C][C]308[/C][C]308[/C][C]308[/C][/ROW]
[ROW][C]0.41[/C][C]309[/C][C]309[/C][C]309[/C][C]309[/C][C]309[/C][C]309[/C][C]309[/C][C]309[/C][/ROW]
[ROW][C]0.42[/C][C]310[/C][C]310[/C][C]310[/C][C]310[/C][C]310[/C][C]310[/C][C]310[/C][C]310[/C][/ROW]
[ROW][C]0.43[/C][C]311[/C][C]311[/C][C]311[/C][C]311[/C][C]311[/C][C]311[/C][C]311[/C][C]311[/C][/ROW]
[ROW][C]0.44[/C][C]312[/C][C]312[/C][C]312[/C][C]312[/C][C]312[/C][C]312[/C][C]312[/C][C]312[/C][/ROW]
[ROW][C]0.45[/C][C]313[/C][C]313[/C][C]313[/C][C]313[/C][C]313[/C][C]313[/C][C]313[/C][C]313[/C][/ROW]
[ROW][C]0.46[/C][C]314[/C][C]314[/C][C]314[/C][C]314[/C][C]314[/C][C]314[/C][C]314[/C][C]314[/C][/ROW]
[ROW][C]0.47[/C][C]315[/C][C]315[/C][C]315[/C][C]315[/C][C]315[/C][C]315[/C][C]315[/C][C]315[/C][/ROW]
[ROW][C]0.48[/C][C]315[/C][C]315[/C][C]315[/C][C]315[/C][C]315[/C][C]315[/C][C]315[/C][C]315[/C][/ROW]
[ROW][C]0.49[/C][C]317[/C][C]317[/C][C]317[/C][C]317[/C][C]317[/C][C]317[/C][C]317[/C][C]317[/C][/ROW]
[ROW][C]0.5[/C][C]318[/C][C]318[/C][C]318[/C][C]318[/C][C]318[/C][C]318[/C][C]318[/C][C]318[/C][/ROW]
[ROW][C]0.51[/C][C]319[/C][C]319[/C][C]319[/C][C]319[/C][C]319[/C][C]319[/C][C]319[/C][C]319[/C][/ROW]
[ROW][C]0.52[/C][C]321[/C][C]321[/C][C]321[/C][C]321[/C][C]321[/C][C]321[/C][C]321[/C][C]321[/C][/ROW]
[ROW][C]0.53[/C][C]322.4[/C][C]322.93[/C][C]323[/C][C]323[/C][C]322.87[/C][C]322[/C][C]322.07[/C][C]323[/C][/ROW]
[ROW][C]0.54[/C][C]325[/C][C]325[/C][C]325[/C][C]325[/C][C]325[/C][C]325[/C][C]325[/C][C]325[/C][/ROW]
[ROW][C]0.55[/C][C]327[/C][C]327[/C][C]327[/C][C]327[/C][C]327[/C][C]327[/C][C]327[/C][C]327[/C][/ROW]
[ROW][C]0.56[/C][C]328[/C][C]328[/C][C]328[/C][C]328[/C][C]328[/C][C]328[/C][C]328[/C][C]328[/C][/ROW]
[ROW][C]0.57[/C][C]330.6[/C][C]331[/C][C]331[/C][C]331[/C][C]331[/C][C]331[/C][C]331[/C][C]331[/C][/ROW]
[ROW][C]0.58[/C][C]332[/C][C]332[/C][C]332[/C][C]332[/C][C]332[/C][C]332[/C][C]332[/C][C]332[/C][/ROW]
[ROW][C]0.59[/C][C]334[/C][C]334[/C][C]334[/C][C]334[/C][C]334[/C][C]334[/C][C]334[/C][C]334[/C][/ROW]
[ROW][C]0.6[/C][C]336[/C][C]336[/C][C]336[/C][C]336[/C][C]336[/C][C]336[/C][C]336[/C][C]336[/C][/ROW]
[ROW][C]0.61[/C][C]337[/C][C]337[/C][C]337[/C][C]337[/C][C]337[/C][C]337[/C][C]337[/C][C]337[/C][/ROW]
[ROW][C]0.62[/C][C]339[/C][C]339[/C][C]339[/C][C]339[/C][C]339[/C][C]339[/C][C]339[/C][C]339[/C][/ROW]
[ROW][C]0.63[/C][C]340[/C][C]340.03[/C][C]340[/C][C]340[/C][C]340[/C][C]340[/C][C]340.97[/C][C]340[/C][/ROW]
[ROW][C]0.64[/C][C]343[/C][C]343[/C][C]343[/C][C]343[/C][C]343[/C][C]343[/C][C]343[/C][C]343[/C][/ROW]
[ROW][C]0.65[/C][C]344[/C][C]344[/C][C]344[/C][C]344[/C][C]344[/C][C]344[/C][C]344[/C][C]344[/C][/ROW]
[ROW][C]0.66[/C][C]346[/C][C]346[/C][C]346[/C][C]346[/C][C]346[/C][C]346[/C][C]346[/C][C]346[/C][/ROW]
[ROW][C]0.67[/C][C]347[/C][C]347[/C][C]347[/C][C]347[/C][C]347[/C][C]347[/C][C]347[/C][C]347[/C][/ROW]
[ROW][C]0.68[/C][C]349[/C][C]349[/C][C]349[/C][C]349[/C][C]349[/C][C]349[/C][C]349[/C][C]349[/C][/ROW]
[ROW][C]0.69[/C][C]351[/C][C]351[/C][C]351[/C][C]351[/C][C]351[/C][C]351[/C][C]351[/C][C]351[/C][/ROW]
[ROW][C]0.7[/C][C]353[/C][C]353[/C][C]353[/C][C]353[/C][C]353[/C][C]353[/C][C]353[/C][C]353[/C][/ROW]
[ROW][C]0.71[/C][C]354[/C][C]354[/C][C]354[/C][C]354[/C][C]354[/C][C]354[/C][C]354[/C][C]354[/C][/ROW]
[ROW][C]0.72[/C][C]355[/C][C]355[/C][C]355[/C][C]355[/C][C]355[/C][C]355[/C][C]355[/C][C]355[/C][/ROW]
[ROW][C]0.73[/C][C]357[/C][C]357[/C][C]357[/C][C]357[/C][C]357[/C][C]357[/C][C]357[/C][C]357[/C][/ROW]
[ROW][C]0.74[/C][C]359[/C][C]359[/C][C]359[/C][C]359[/C][C]359[/C][C]359[/C][C]359[/C][C]359[/C][/ROW]
[ROW][C]0.75[/C][C]361[/C][C]361[/C][C]361[/C][C]361[/C][C]361[/C][C]361[/C][C]361[/C][C]361[/C][/ROW]
[ROW][C]0.76[/C][C]362[/C][C]362[/C][C]362[/C][C]362[/C][C]362[/C][C]362[/C][C]362[/C][C]362[/C][/ROW]
[ROW][C]0.77[/C][C]364[/C][C]364[/C][C]364[/C][C]364[/C][C]364[/C][C]364[/C][C]364[/C][C]364[/C][/ROW]
[ROW][C]0.78[/C][C]367[/C][C]367[/C][C]367[/C][C]367[/C][C]367[/C][C]367[/C][C]367[/C][C]367[/C][/ROW]
[ROW][C]0.79[/C][C]371.2[/C][C]371.99[/C][C]372[/C][C]372[/C][C]371.41[/C][C]371[/C][C]371.01[/C][C]372[/C][/ROW]
[ROW][C]0.8[/C][C]375[/C][C]375.8[/C][C]375[/C][C]375.5[/C][C]375.2[/C][C]375[/C][C]375.2[/C][C]376[/C][/ROW]
[ROW][C]0.81[/C][C]379[/C][C]379[/C][C]379[/C][C]379[/C][C]379[/C][C]379[/C][C]379[/C][C]379[/C][/ROW]
[ROW][C]0.82[/C][C]383[/C][C]383[/C][C]383[/C][C]383[/C][C]383[/C][C]383[/C][C]383[/C][C]383[/C][/ROW]
[ROW][C]0.83[/C][C]388.4[/C][C]389[/C][C]389[/C][C]389[/C][C]388.57[/C][C]388[/C][C]389[/C][C]389[/C][/ROW]
[ROW][C]0.84[/C][C]399[/C][C]399.04[/C][C]399[/C][C]399[/C][C]399[/C][C]399[/C][C]399.96[/C][C]399[/C][/ROW]
[ROW][C]0.85[/C][C]407[/C][C]407.85[/C][C]407[/C][C]407.5[/C][C]407.15[/C][C]407[/C][C]407.15[/C][C]408[/C][/ROW]
[ROW][C]0.86[/C][C]416[/C][C]416[/C][C]416[/C][C]416[/C][C]416[/C][C]416[/C][C]416[/C][C]416[/C][/ROW]
[ROW][C]0.87[/C][C]423.6[/C][C]424[/C][C]424[/C][C]424[/C][C]423.73[/C][C]424[/C][C]424[/C][C]424[/C][/ROW]
[ROW][C]0.88[/C][C]430.4[/C][C]431[/C][C]431[/C][C]431[/C][C]430.52[/C][C]430[/C][C]431[/C][C]431[/C][/ROW]
[ROW][C]0.89[/C][C]439[/C][C]439.09[/C][C]439[/C][C]439[/C][C]439[/C][C]439[/C][C]439.91[/C][C]439[/C][/ROW]
[ROW][C]0.9[/C][C]444[/C][C]444[/C][C]444[/C][C]444[/C][C]444[/C][C]444[/C][C]444[/C][C]444[/C][/ROW]
[ROW][C]0.91[/C][C]459[/C][C]461.13[/C][C]459[/C][C]459[/C][C]459[/C][C]459[/C][C]459.87[/C][C]462[/C][/ROW]
[ROW][C]0.92[/C][C]468[/C][C]468[/C][C]468[/C][C]468[/C][C]468[/C][C]468[/C][C]468[/C][C]468[/C][/ROW]
[ROW][C]0.93[/C][C]474[/C][C]474[/C][C]474[/C][C]474[/C][C]474[/C][C]474[/C][C]474[/C][C]474[/C][/ROW]
[ROW][C]0.94[/C][C]484.2[/C][C]485.14[/C][C]485[/C][C]485[/C][C]484.26[/C][C]484[/C][C]485.86[/C][C]485[/C][/ROW]
[ROW][C]0.95[/C][C]495[/C][C]495[/C][C]495[/C][C]495[/C][C]495[/C][C]495[/C][C]495[/C][C]495[/C][/ROW]
[ROW][C]0.96[/C][C]519.8[/C][C]521.52[/C][C]520[/C][C]520[/C][C]519.84[/C][C]520[/C][C]520.48[/C][C]522[/C][/ROW]
[ROW][C]0.97[/C][C]552.4[/C][C]555.71[/C][C]554[/C][C]554[/C][C]552.52[/C][C]554[/C][C]555.29[/C][C]557[/C][/ROW]
[ROW][C]0.98[/C][C]636.8[/C][C]638.76[/C][C]638[/C][C]638[/C][C]636.84[/C][C]636[/C][C]639.24[/C][C]638[/C][/ROW]
[ROW][C]0.99[/C][C]689[/C][C]693[/C][C]693[/C][C]693[/C][C]689.05[/C][C]688[/C][C]693[/C][C]693[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159944&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159944&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Percentiles - Ungrouped Data
pWeighted Average at XnpWeighted Average at X(n+1)pEmpirical Distribution FunctionEmpirical Distribution Function - AveragingEmpirical Distribution Function - InterpolationClosest ObservationTrue Basic - Statistics Graphics ToolkitMS Excel (old versions)
0.01229229229229229229229229
0.02232232232232232232232232
0.03236236236236236.37236236236
0.04239239239239239239239239
0.05241241.05241241.5241.95241241.95241
0.06245.8245.86246246246246245.14246
0.07249249249249249249249249
0.08251251251251251251251251
0.09255.2255.29256256256255255.71255
0.1257257257257257257257257
0.11263.8263.91264264264264263.09264
0.12267267267267267267267267
0.13270270270270270270270270
0.14274274274274274274274274
0.15275275275275275275275275
0.16278278278278278278278278
0.17280280280280280280280280
0.18282282282282282282282282
0.19283283283283283.01283283283
0.2285285285285285285285285
0.21286.8287287287287287287287
0.22289289289289289289289289
0.23291291291291291291291291
0.24292292292292292292292292
0.25293293.25293293.5293.75293293.75293
0.26295295295295295295295295
0.27296296296296296296296296
0.28297.4297.68298298298297297.32298
0.29298298298298298298298298
0.3299299299299299299299299
0.31300300300300300300300300
0.32301301301301301301301301
0.33302302302302302302302302
0.34303303303303303303303303
0.35303303303303303303303303
0.36304.8305305305305305305305
0.37305305305305305305305305
0.38306306306306306306306306
0.39307.2307.59308308307.81307307.41308
0.4308308308308308308308308
0.41309309309309309309309309
0.42310310310310310310310310
0.43311311311311311311311311
0.44312312312312312312312312
0.45313313313313313313313313
0.46314314314314314314314314
0.47315315315315315315315315
0.48315315315315315315315315
0.49317317317317317317317317
0.5318318318318318318318318
0.51319319319319319319319319
0.52321321321321321321321321
0.53322.4322.93323323322.87322322.07323
0.54325325325325325325325325
0.55327327327327327327327327
0.56328328328328328328328328
0.57330.6331331331331331331331
0.58332332332332332332332332
0.59334334334334334334334334
0.6336336336336336336336336
0.61337337337337337337337337
0.62339339339339339339339339
0.63340340.03340340340340340.97340
0.64343343343343343343343343
0.65344344344344344344344344
0.66346346346346346346346346
0.67347347347347347347347347
0.68349349349349349349349349
0.69351351351351351351351351
0.7353353353353353353353353
0.71354354354354354354354354
0.72355355355355355355355355
0.73357357357357357357357357
0.74359359359359359359359359
0.75361361361361361361361361
0.76362362362362362362362362
0.77364364364364364364364364
0.78367367367367367367367367
0.79371.2371.99372372371.41371371.01372
0.8375375.8375375.5375.2375375.2376
0.81379379379379379379379379
0.82383383383383383383383383
0.83388.4389389389388.57388389389
0.84399399.04399399399399399.96399
0.85407407.85407407.5407.15407407.15408
0.86416416416416416416416416
0.87423.6424424424423.73424424424
0.88430.4431431431430.52430431431
0.89439439.09439439439439439.91439
0.9444444444444444444444444
0.91459461.13459459459459459.87462
0.92468468468468468468468468
0.93474474474474474474474474
0.94484.2485.14485485484.26484485.86485
0.95495495495495495495495495
0.96519.8521.52520520519.84520520.48522
0.97552.4555.71554554552.52554555.29557
0.98636.8638.76638638636.84636639.24638
0.99689693693693689.05688693693


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
x <-sort(x[!is.na(x)])
q1 <- function(data,n,p,i,f) {
np <- n*p;
i <<- floor(np)
f <<- np - i
qvalue <- (1-f)*data[i] + f*data[i+1]
}
q2 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
qvalue <- (1-f)*data[i] + f*data[i+1]
}
q3 <- function(data,n,p,i,f) {
np <- n*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
qvalue <- data[i+1]
}
}
q4 <- function(data,n,p,i,f) {
np <- n*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- (data[i]+data[i+1])/2
} else {
qvalue <- data[i+1]
}
}
q5 <- function(data,n,p,i,f) {
np <- (n-1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i+1]
} else {
qvalue <- data[i+1] + f*(data[i+2]-data[i+1])
}
}
q6 <- function(data,n,p,i,f) {
np <- n*p+0.5
i <<- floor(np)
f <<- np - i
qvalue <- data[i]
}
q7 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
qvalue <- f*data[i] + (1-f)*data[i+1]
}
}
q8 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
if (f == 0.5) {
qvalue <- (data[i]+data[i+1])/2
} else {
if (f < 0.5) {
qvalue <- data[i]
} else {
qvalue <- data[i+1]
}
}
}
}
lx <- length(x)
qval <- array(NA,dim=c(99,8))
mystep <- 25
mystart <- 25
if (lx>10){
mystep=10
mystart=10
}
if (lx>20){
mystep=5
mystart=5
}
if (lx>50){
mystep=2
mystart=2
}
if (lx>=100){
mystep=1
mystart=1
}
for (perc in seq(mystart,99,mystep)) {
qval[perc,1] <- q1(x,lx,perc/100,i,f)
qval[perc,2] <- q2(x,lx,perc/100,i,f)
qval[perc,3] <- q3(x,lx,perc/100,i,f)
qval[perc,4] <- q4(x,lx,perc/100,i,f)
qval[perc,5] <- q5(x,lx,perc/100,i,f)
qval[perc,6] <- q6(x,lx,perc/100,i,f)
qval[perc,7] <- q7(x,lx,perc/100,i,f)
qval[perc,8] <- q8(x,lx,perc/100,i,f)
}
bitmap(file='test1.png')
myqqnorm <- qqnorm(x,col=2)
qqline(x)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Percentiles - Ungrouped Data',9,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p',1,TRUE)
a<-table.element(a,hyperlink('method_1.htm', 'Weighted Average at Xnp',''),1,TRUE)
a<-table.element(a,hyperlink('method_2.htm','Weighted Average at X(n+1)p',''),1,TRUE)
a<-table.element(a,hyperlink('method_3.htm','Empirical Distribution Function',''),1,TRUE)
a<-table.element(a,hyperlink('method_4.htm','Empirical Distribution Function - Averaging',''),1,TRUE)
a<-table.element(a,hyperlink('method_5.htm','Empirical Distribution Function - Interpolation',''),1,TRUE)
a<-table.element(a,hyperlink('method_6.htm','Closest Observation',''),1,TRUE)
a<-table.element(a,hyperlink('method_7.htm','True Basic - Statistics Graphics Toolkit',''),1,TRUE)
a<-table.element(a,hyperlink('method_8.htm','MS Excel (old versions)',''),1,TRUE)
a<-table.row.end(a)
for (perc in seq(mystart,99,mystep)) {
a<-table.row.start(a)
a<-table.element(a,round(perc/100,2),1,TRUE)
for (j in 1:8) {
a<-table.element(a,round(qval[perc,j],6))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')