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Author*The author of this computation has been verified*
R Software Modulerwasp_percentiles.wasp
Title produced by softwarePercentiles
Date of computationWed, 30 Nov 2011 09:43:44 -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/Nov/30/t132266423826ny0r4cbk02dng.htm/, Retrieved Fri, 29 Mar 2024 12:56:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=148998, Retrieved Fri, 29 Mar 2024 12:56:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact72
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Percentiles] [] [2011-11-30 14:43:44] [4cf172296f32adf71d8383c359dbb80f] [Current]
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Dataseries X:
113
119
133
130
122
136
149
149
137
120
105
119
116
127
142
136
126
150
171
171
159
134
115
141
146
151
179
164
173
179
200
200
185
163
147
167
172
181
194
182
184
219
231
243
210
192
173
195
197
197
237
236
230
244
265
273
238
212
181
202
205
189
236
228
235
265
303
294
260
230
204
230
243
234
268
270
271
316
365
348
313
275
238
279
285
278
318
314
319
375
414
406
356
307
272
307
316
302
357
349
356
423
466
468
405
348
306
337
341
319
363
349
364
436
492
506
405
360
311
338
361
343
407
397
421
473
549
560
464
408
363
406
418
392
420
462
473
536
623
607
509
462
391
433




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'AstonUniversity' @ aston.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 & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=148998&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=148998&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=148998&T=0

As an alternative you can also use a 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'AstonUniversity' @ aston.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)
0.01108.52108.6113113113.86105109.4105
0.02114.76114.8115115115.86115113.2115
0.03116.96117.05119119119116117.95116
0.04119119119119119.72119119119
0.05120.4120.5122122122.6120121.5120
0.06124.56124.8126126126.58126123.2126
0.07127.24127.45130130130.03127129.55127
0.08131.56131.8133133133.44133131.2133
0.09133.96134.1134134135.74134135.9134
0.1136136136136136.3136136136
0.11136.84136.95137137139.92137136.05137
0.12141.28141.4142142142.64141141.6141
0.13144.88145.4146146146.59146142.6146
0.14147.32147.6149149149147148.4147
0.15149149149149149.45149149149
0.16150.04150.2151151150.88150150.8150
0.17154.84156.2159159160.24151153.8159
0.18162.68163.1163163163.74163163.9163
0.19165.08165.65167167167.68164165.35167
0.2170.2171171171171171171171
0.21171.24171.45172172172.03171171.55171
0.22172.68172.9173173173173172.1173
0.23173.72175.1179179178.34173176.9173
0.24179179179179179.64179179179
0.25181181181181181181181181
0.26181.44181.7182182182.36181181.3182
0.27183.76184.15184184184.61184184.85184
0.28186.28187.4189189189.12185186.6189
0.29191.28192.1192192192.94192193.9192
0.3194.2194.5195195194.9194194.5194.5
0.31196.28196.9197197197197195.1197
0.32197.24198.2200200199.28197198.8197
0.33200200200200200.38200200200
0.34201.92202.6202202203.24202203.4202
0.35204.4204.75205205205.25204204.25205
0.36209.2210.4210210210.96210211.6210
0.37213.96216.55219219218.37212214.45219
0.38225.48228.2228228228.68228229.8228
0.39230230230230230230230230
0.4230230230230230.2230230230
0.41231.12232.35234234232.89231232.65231
0.42234.48234.9235235235.06234234.1235
0.43235.92236236236236236236236
0.44236.36236.8237237236.92236236.2237
0.45237.8238238238238238238238
0.46239.2241.5243243241.9238239.5243
0.47243243.15243243243.21243243.85243
0.48245.92253.6260260254.24244250.4260
0.49262.8265265265265265265265
0.5265266.5265266.5266.5265266.5266.5
0.51268.88269.9270270269.86268268.1270
0.52270.88271.4271271271.36271271.6271
0.53272.32272.85273273272.79272272.15273
0.54274.52275.9275275275.66275277.1275
0.55278.2278.75279279278.65278278.25279
0.56282.84286.8285285285.72285292.2285
0.57294.64299.2302302298.08294296.8302
0.58302.52303.3303303302.94303305.7303
0.59305.88306.55306306306.37306306.45307
0.6307307307307307307307307
0.61310.36311.9311311311.46311312.1311
0.62313.28313.9314314313.66313313.1314
0.63315.44316316316316316316316
0.64316.32317.6318318317.04316316.4318
0.65318.6319319319318.95319319319
0.66319.72331.6337337325.84319324.4337
0.67337.48338.45338338337.81337340.55338
0.68340.76342.2341341341.48341341.8343
0.69344.8348348348346.35343348348
0.7348348.5348348348.1348348.5348.5
0.71349349349349349349349349
0.72353.76356356356355.72356356356
0.73356.12356.85357357356.39356356.15357
0.74358.68360.3360360359.46360360.7360
0.75361362.5361362361.5361361.5363
0.76363363.2363363363363363.8363
0.77363.88364.65364364364.11364364.35365
0.78368.2376.6375375370.4365389.4375
0.79387.16391.55391391390.52391391.45392
0.8393397397397394392397397
0.81402.12405405405403.64405405405
0.82405.08405.9406406405.26405405.1406
0.83406406.35406406406406406.65406
0.84406.96407.8407407407.12407407.2408
0.85410.4415414414411.3408417414
0.86417.36419.4418418417.92418418.6420
0.87420.28421.3421421420.41420422.7421
0.88422.44429423423422.68423427433
0.89433.48437.3436436433.81433460.7436
0.9451.6462462462454.2462462462
0.91462.08463.9464464462.26462462.1464
0.92464.96466.8466466465.12464467.2466
0.93467.84472.25468468467.98468468.75473
0.94473478.7473473473473486.3473
0.95488.2502.5492492489.15492495.5506
0.96506.72514.4509509506.84506530.6509
0.97527.36544.45536536528.17536540.55549
0.98550.32564.7560560550.54549602.3560
0.99586.32615.8607607586.79607614.2623

\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 & 108.52 & 108.6 & 113 & 113 & 113.86 & 105 & 109.4 & 105 \tabularnewline
0.02 & 114.76 & 114.8 & 115 & 115 & 115.86 & 115 & 113.2 & 115 \tabularnewline
0.03 & 116.96 & 117.05 & 119 & 119 & 119 & 116 & 117.95 & 116 \tabularnewline
0.04 & 119 & 119 & 119 & 119 & 119.72 & 119 & 119 & 119 \tabularnewline
0.05 & 120.4 & 120.5 & 122 & 122 & 122.6 & 120 & 121.5 & 120 \tabularnewline
0.06 & 124.56 & 124.8 & 126 & 126 & 126.58 & 126 & 123.2 & 126 \tabularnewline
0.07 & 127.24 & 127.45 & 130 & 130 & 130.03 & 127 & 129.55 & 127 \tabularnewline
0.08 & 131.56 & 131.8 & 133 & 133 & 133.44 & 133 & 131.2 & 133 \tabularnewline
0.09 & 133.96 & 134.1 & 134 & 134 & 135.74 & 134 & 135.9 & 134 \tabularnewline
0.1 & 136 & 136 & 136 & 136 & 136.3 & 136 & 136 & 136 \tabularnewline
0.11 & 136.84 & 136.95 & 137 & 137 & 139.92 & 137 & 136.05 & 137 \tabularnewline
0.12 & 141.28 & 141.4 & 142 & 142 & 142.64 & 141 & 141.6 & 141 \tabularnewline
0.13 & 144.88 & 145.4 & 146 & 146 & 146.59 & 146 & 142.6 & 146 \tabularnewline
0.14 & 147.32 & 147.6 & 149 & 149 & 149 & 147 & 148.4 & 147 \tabularnewline
0.15 & 149 & 149 & 149 & 149 & 149.45 & 149 & 149 & 149 \tabularnewline
0.16 & 150.04 & 150.2 & 151 & 151 & 150.88 & 150 & 150.8 & 150 \tabularnewline
0.17 & 154.84 & 156.2 & 159 & 159 & 160.24 & 151 & 153.8 & 159 \tabularnewline
0.18 & 162.68 & 163.1 & 163 & 163 & 163.74 & 163 & 163.9 & 163 \tabularnewline
0.19 & 165.08 & 165.65 & 167 & 167 & 167.68 & 164 & 165.35 & 167 \tabularnewline
0.2 & 170.2 & 171 & 171 & 171 & 171 & 171 & 171 & 171 \tabularnewline
0.21 & 171.24 & 171.45 & 172 & 172 & 172.03 & 171 & 171.55 & 171 \tabularnewline
0.22 & 172.68 & 172.9 & 173 & 173 & 173 & 173 & 172.1 & 173 \tabularnewline
0.23 & 173.72 & 175.1 & 179 & 179 & 178.34 & 173 & 176.9 & 173 \tabularnewline
0.24 & 179 & 179 & 179 & 179 & 179.64 & 179 & 179 & 179 \tabularnewline
0.25 & 181 & 181 & 181 & 181 & 181 & 181 & 181 & 181 \tabularnewline
0.26 & 181.44 & 181.7 & 182 & 182 & 182.36 & 181 & 181.3 & 182 \tabularnewline
0.27 & 183.76 & 184.15 & 184 & 184 & 184.61 & 184 & 184.85 & 184 \tabularnewline
0.28 & 186.28 & 187.4 & 189 & 189 & 189.12 & 185 & 186.6 & 189 \tabularnewline
0.29 & 191.28 & 192.1 & 192 & 192 & 192.94 & 192 & 193.9 & 192 \tabularnewline
0.3 & 194.2 & 194.5 & 195 & 195 & 194.9 & 194 & 194.5 & 194.5 \tabularnewline
0.31 & 196.28 & 196.9 & 197 & 197 & 197 & 197 & 195.1 & 197 \tabularnewline
0.32 & 197.24 & 198.2 & 200 & 200 & 199.28 & 197 & 198.8 & 197 \tabularnewline
0.33 & 200 & 200 & 200 & 200 & 200.38 & 200 & 200 & 200 \tabularnewline
0.34 & 201.92 & 202.6 & 202 & 202 & 203.24 & 202 & 203.4 & 202 \tabularnewline
0.35 & 204.4 & 204.75 & 205 & 205 & 205.25 & 204 & 204.25 & 205 \tabularnewline
0.36 & 209.2 & 210.4 & 210 & 210 & 210.96 & 210 & 211.6 & 210 \tabularnewline
0.37 & 213.96 & 216.55 & 219 & 219 & 218.37 & 212 & 214.45 & 219 \tabularnewline
0.38 & 225.48 & 228.2 & 228 & 228 & 228.68 & 228 & 229.8 & 228 \tabularnewline
0.39 & 230 & 230 & 230 & 230 & 230 & 230 & 230 & 230 \tabularnewline
0.4 & 230 & 230 & 230 & 230 & 230.2 & 230 & 230 & 230 \tabularnewline
0.41 & 231.12 & 232.35 & 234 & 234 & 232.89 & 231 & 232.65 & 231 \tabularnewline
0.42 & 234.48 & 234.9 & 235 & 235 & 235.06 & 234 & 234.1 & 235 \tabularnewline
0.43 & 235.92 & 236 & 236 & 236 & 236 & 236 & 236 & 236 \tabularnewline
0.44 & 236.36 & 236.8 & 237 & 237 & 236.92 & 236 & 236.2 & 237 \tabularnewline
0.45 & 237.8 & 238 & 238 & 238 & 238 & 238 & 238 & 238 \tabularnewline
0.46 & 239.2 & 241.5 & 243 & 243 & 241.9 & 238 & 239.5 & 243 \tabularnewline
0.47 & 243 & 243.15 & 243 & 243 & 243.21 & 243 & 243.85 & 243 \tabularnewline
0.48 & 245.92 & 253.6 & 260 & 260 & 254.24 & 244 & 250.4 & 260 \tabularnewline
0.49 & 262.8 & 265 & 265 & 265 & 265 & 265 & 265 & 265 \tabularnewline
0.5 & 265 & 266.5 & 265 & 266.5 & 266.5 & 265 & 266.5 & 266.5 \tabularnewline
0.51 & 268.88 & 269.9 & 270 & 270 & 269.86 & 268 & 268.1 & 270 \tabularnewline
0.52 & 270.88 & 271.4 & 271 & 271 & 271.36 & 271 & 271.6 & 271 \tabularnewline
0.53 & 272.32 & 272.85 & 273 & 273 & 272.79 & 272 & 272.15 & 273 \tabularnewline
0.54 & 274.52 & 275.9 & 275 & 275 & 275.66 & 275 & 277.1 & 275 \tabularnewline
0.55 & 278.2 & 278.75 & 279 & 279 & 278.65 & 278 & 278.25 & 279 \tabularnewline
0.56 & 282.84 & 286.8 & 285 & 285 & 285.72 & 285 & 292.2 & 285 \tabularnewline
0.57 & 294.64 & 299.2 & 302 & 302 & 298.08 & 294 & 296.8 & 302 \tabularnewline
0.58 & 302.52 & 303.3 & 303 & 303 & 302.94 & 303 & 305.7 & 303 \tabularnewline
0.59 & 305.88 & 306.55 & 306 & 306 & 306.37 & 306 & 306.45 & 307 \tabularnewline
0.6 & 307 & 307 & 307 & 307 & 307 & 307 & 307 & 307 \tabularnewline
0.61 & 310.36 & 311.9 & 311 & 311 & 311.46 & 311 & 312.1 & 311 \tabularnewline
0.62 & 313.28 & 313.9 & 314 & 314 & 313.66 & 313 & 313.1 & 314 \tabularnewline
0.63 & 315.44 & 316 & 316 & 316 & 316 & 316 & 316 & 316 \tabularnewline
0.64 & 316.32 & 317.6 & 318 & 318 & 317.04 & 316 & 316.4 & 318 \tabularnewline
0.65 & 318.6 & 319 & 319 & 319 & 318.95 & 319 & 319 & 319 \tabularnewline
0.66 & 319.72 & 331.6 & 337 & 337 & 325.84 & 319 & 324.4 & 337 \tabularnewline
0.67 & 337.48 & 338.45 & 338 & 338 & 337.81 & 337 & 340.55 & 338 \tabularnewline
0.68 & 340.76 & 342.2 & 341 & 341 & 341.48 & 341 & 341.8 & 343 \tabularnewline
0.69 & 344.8 & 348 & 348 & 348 & 346.35 & 343 & 348 & 348 \tabularnewline
0.7 & 348 & 348.5 & 348 & 348 & 348.1 & 348 & 348.5 & 348.5 \tabularnewline
0.71 & 349 & 349 & 349 & 349 & 349 & 349 & 349 & 349 \tabularnewline
0.72 & 353.76 & 356 & 356 & 356 & 355.72 & 356 & 356 & 356 \tabularnewline
0.73 & 356.12 & 356.85 & 357 & 357 & 356.39 & 356 & 356.15 & 357 \tabularnewline
0.74 & 358.68 & 360.3 & 360 & 360 & 359.46 & 360 & 360.7 & 360 \tabularnewline
0.75 & 361 & 362.5 & 361 & 362 & 361.5 & 361 & 361.5 & 363 \tabularnewline
0.76 & 363 & 363.2 & 363 & 363 & 363 & 363 & 363.8 & 363 \tabularnewline
0.77 & 363.88 & 364.65 & 364 & 364 & 364.11 & 364 & 364.35 & 365 \tabularnewline
0.78 & 368.2 & 376.6 & 375 & 375 & 370.4 & 365 & 389.4 & 375 \tabularnewline
0.79 & 387.16 & 391.55 & 391 & 391 & 390.52 & 391 & 391.45 & 392 \tabularnewline
0.8 & 393 & 397 & 397 & 397 & 394 & 392 & 397 & 397 \tabularnewline
0.81 & 402.12 & 405 & 405 & 405 & 403.64 & 405 & 405 & 405 \tabularnewline
0.82 & 405.08 & 405.9 & 406 & 406 & 405.26 & 405 & 405.1 & 406 \tabularnewline
0.83 & 406 & 406.35 & 406 & 406 & 406 & 406 & 406.65 & 406 \tabularnewline
0.84 & 406.96 & 407.8 & 407 & 407 & 407.12 & 407 & 407.2 & 408 \tabularnewline
0.85 & 410.4 & 415 & 414 & 414 & 411.3 & 408 & 417 & 414 \tabularnewline
0.86 & 417.36 & 419.4 & 418 & 418 & 417.92 & 418 & 418.6 & 420 \tabularnewline
0.87 & 420.28 & 421.3 & 421 & 421 & 420.41 & 420 & 422.7 & 421 \tabularnewline
0.88 & 422.44 & 429 & 423 & 423 & 422.68 & 423 & 427 & 433 \tabularnewline
0.89 & 433.48 & 437.3 & 436 & 436 & 433.81 & 433 & 460.7 & 436 \tabularnewline
0.9 & 451.6 & 462 & 462 & 462 & 454.2 & 462 & 462 & 462 \tabularnewline
0.91 & 462.08 & 463.9 & 464 & 464 & 462.26 & 462 & 462.1 & 464 \tabularnewline
0.92 & 464.96 & 466.8 & 466 & 466 & 465.12 & 464 & 467.2 & 466 \tabularnewline
0.93 & 467.84 & 472.25 & 468 & 468 & 467.98 & 468 & 468.75 & 473 \tabularnewline
0.94 & 473 & 478.7 & 473 & 473 & 473 & 473 & 486.3 & 473 \tabularnewline
0.95 & 488.2 & 502.5 & 492 & 492 & 489.15 & 492 & 495.5 & 506 \tabularnewline
0.96 & 506.72 & 514.4 & 509 & 509 & 506.84 & 506 & 530.6 & 509 \tabularnewline
0.97 & 527.36 & 544.45 & 536 & 536 & 528.17 & 536 & 540.55 & 549 \tabularnewline
0.98 & 550.32 & 564.7 & 560 & 560 & 550.54 & 549 & 602.3 & 560 \tabularnewline
0.99 & 586.32 & 615.8 & 607 & 607 & 586.79 & 607 & 614.2 & 623 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=148998&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]108.52[/C][C]108.6[/C][C]113[/C][C]113[/C][C]113.86[/C][C]105[/C][C]109.4[/C][C]105[/C][/ROW]
[ROW][C]0.02[/C][C]114.76[/C][C]114.8[/C][C]115[/C][C]115[/C][C]115.86[/C][C]115[/C][C]113.2[/C][C]115[/C][/ROW]
[ROW][C]0.03[/C][C]116.96[/C][C]117.05[/C][C]119[/C][C]119[/C][C]119[/C][C]116[/C][C]117.95[/C][C]116[/C][/ROW]
[ROW][C]0.04[/C][C]119[/C][C]119[/C][C]119[/C][C]119[/C][C]119.72[/C][C]119[/C][C]119[/C][C]119[/C][/ROW]
[ROW][C]0.05[/C][C]120.4[/C][C]120.5[/C][C]122[/C][C]122[/C][C]122.6[/C][C]120[/C][C]121.5[/C][C]120[/C][/ROW]
[ROW][C]0.06[/C][C]124.56[/C][C]124.8[/C][C]126[/C][C]126[/C][C]126.58[/C][C]126[/C][C]123.2[/C][C]126[/C][/ROW]
[ROW][C]0.07[/C][C]127.24[/C][C]127.45[/C][C]130[/C][C]130[/C][C]130.03[/C][C]127[/C][C]129.55[/C][C]127[/C][/ROW]
[ROW][C]0.08[/C][C]131.56[/C][C]131.8[/C][C]133[/C][C]133[/C][C]133.44[/C][C]133[/C][C]131.2[/C][C]133[/C][/ROW]
[ROW][C]0.09[/C][C]133.96[/C][C]134.1[/C][C]134[/C][C]134[/C][C]135.74[/C][C]134[/C][C]135.9[/C][C]134[/C][/ROW]
[ROW][C]0.1[/C][C]136[/C][C]136[/C][C]136[/C][C]136[/C][C]136.3[/C][C]136[/C][C]136[/C][C]136[/C][/ROW]
[ROW][C]0.11[/C][C]136.84[/C][C]136.95[/C][C]137[/C][C]137[/C][C]139.92[/C][C]137[/C][C]136.05[/C][C]137[/C][/ROW]
[ROW][C]0.12[/C][C]141.28[/C][C]141.4[/C][C]142[/C][C]142[/C][C]142.64[/C][C]141[/C][C]141.6[/C][C]141[/C][/ROW]
[ROW][C]0.13[/C][C]144.88[/C][C]145.4[/C][C]146[/C][C]146[/C][C]146.59[/C][C]146[/C][C]142.6[/C][C]146[/C][/ROW]
[ROW][C]0.14[/C][C]147.32[/C][C]147.6[/C][C]149[/C][C]149[/C][C]149[/C][C]147[/C][C]148.4[/C][C]147[/C][/ROW]
[ROW][C]0.15[/C][C]149[/C][C]149[/C][C]149[/C][C]149[/C][C]149.45[/C][C]149[/C][C]149[/C][C]149[/C][/ROW]
[ROW][C]0.16[/C][C]150.04[/C][C]150.2[/C][C]151[/C][C]151[/C][C]150.88[/C][C]150[/C][C]150.8[/C][C]150[/C][/ROW]
[ROW][C]0.17[/C][C]154.84[/C][C]156.2[/C][C]159[/C][C]159[/C][C]160.24[/C][C]151[/C][C]153.8[/C][C]159[/C][/ROW]
[ROW][C]0.18[/C][C]162.68[/C][C]163.1[/C][C]163[/C][C]163[/C][C]163.74[/C][C]163[/C][C]163.9[/C][C]163[/C][/ROW]
[ROW][C]0.19[/C][C]165.08[/C][C]165.65[/C][C]167[/C][C]167[/C][C]167.68[/C][C]164[/C][C]165.35[/C][C]167[/C][/ROW]
[ROW][C]0.2[/C][C]170.2[/C][C]171[/C][C]171[/C][C]171[/C][C]171[/C][C]171[/C][C]171[/C][C]171[/C][/ROW]
[ROW][C]0.21[/C][C]171.24[/C][C]171.45[/C][C]172[/C][C]172[/C][C]172.03[/C][C]171[/C][C]171.55[/C][C]171[/C][/ROW]
[ROW][C]0.22[/C][C]172.68[/C][C]172.9[/C][C]173[/C][C]173[/C][C]173[/C][C]173[/C][C]172.1[/C][C]173[/C][/ROW]
[ROW][C]0.23[/C][C]173.72[/C][C]175.1[/C][C]179[/C][C]179[/C][C]178.34[/C][C]173[/C][C]176.9[/C][C]173[/C][/ROW]
[ROW][C]0.24[/C][C]179[/C][C]179[/C][C]179[/C][C]179[/C][C]179.64[/C][C]179[/C][C]179[/C][C]179[/C][/ROW]
[ROW][C]0.25[/C][C]181[/C][C]181[/C][C]181[/C][C]181[/C][C]181[/C][C]181[/C][C]181[/C][C]181[/C][/ROW]
[ROW][C]0.26[/C][C]181.44[/C][C]181.7[/C][C]182[/C][C]182[/C][C]182.36[/C][C]181[/C][C]181.3[/C][C]182[/C][/ROW]
[ROW][C]0.27[/C][C]183.76[/C][C]184.15[/C][C]184[/C][C]184[/C][C]184.61[/C][C]184[/C][C]184.85[/C][C]184[/C][/ROW]
[ROW][C]0.28[/C][C]186.28[/C][C]187.4[/C][C]189[/C][C]189[/C][C]189.12[/C][C]185[/C][C]186.6[/C][C]189[/C][/ROW]
[ROW][C]0.29[/C][C]191.28[/C][C]192.1[/C][C]192[/C][C]192[/C][C]192.94[/C][C]192[/C][C]193.9[/C][C]192[/C][/ROW]
[ROW][C]0.3[/C][C]194.2[/C][C]194.5[/C][C]195[/C][C]195[/C][C]194.9[/C][C]194[/C][C]194.5[/C][C]194.5[/C][/ROW]
[ROW][C]0.31[/C][C]196.28[/C][C]196.9[/C][C]197[/C][C]197[/C][C]197[/C][C]197[/C][C]195.1[/C][C]197[/C][/ROW]
[ROW][C]0.32[/C][C]197.24[/C][C]198.2[/C][C]200[/C][C]200[/C][C]199.28[/C][C]197[/C][C]198.8[/C][C]197[/C][/ROW]
[ROW][C]0.33[/C][C]200[/C][C]200[/C][C]200[/C][C]200[/C][C]200.38[/C][C]200[/C][C]200[/C][C]200[/C][/ROW]
[ROW][C]0.34[/C][C]201.92[/C][C]202.6[/C][C]202[/C][C]202[/C][C]203.24[/C][C]202[/C][C]203.4[/C][C]202[/C][/ROW]
[ROW][C]0.35[/C][C]204.4[/C][C]204.75[/C][C]205[/C][C]205[/C][C]205.25[/C][C]204[/C][C]204.25[/C][C]205[/C][/ROW]
[ROW][C]0.36[/C][C]209.2[/C][C]210.4[/C][C]210[/C][C]210[/C][C]210.96[/C][C]210[/C][C]211.6[/C][C]210[/C][/ROW]
[ROW][C]0.37[/C][C]213.96[/C][C]216.55[/C][C]219[/C][C]219[/C][C]218.37[/C][C]212[/C][C]214.45[/C][C]219[/C][/ROW]
[ROW][C]0.38[/C][C]225.48[/C][C]228.2[/C][C]228[/C][C]228[/C][C]228.68[/C][C]228[/C][C]229.8[/C][C]228[/C][/ROW]
[ROW][C]0.39[/C][C]230[/C][C]230[/C][C]230[/C][C]230[/C][C]230[/C][C]230[/C][C]230[/C][C]230[/C][/ROW]
[ROW][C]0.4[/C][C]230[/C][C]230[/C][C]230[/C][C]230[/C][C]230.2[/C][C]230[/C][C]230[/C][C]230[/C][/ROW]
[ROW][C]0.41[/C][C]231.12[/C][C]232.35[/C][C]234[/C][C]234[/C][C]232.89[/C][C]231[/C][C]232.65[/C][C]231[/C][/ROW]
[ROW][C]0.42[/C][C]234.48[/C][C]234.9[/C][C]235[/C][C]235[/C][C]235.06[/C][C]234[/C][C]234.1[/C][C]235[/C][/ROW]
[ROW][C]0.43[/C][C]235.92[/C][C]236[/C][C]236[/C][C]236[/C][C]236[/C][C]236[/C][C]236[/C][C]236[/C][/ROW]
[ROW][C]0.44[/C][C]236.36[/C][C]236.8[/C][C]237[/C][C]237[/C][C]236.92[/C][C]236[/C][C]236.2[/C][C]237[/C][/ROW]
[ROW][C]0.45[/C][C]237.8[/C][C]238[/C][C]238[/C][C]238[/C][C]238[/C][C]238[/C][C]238[/C][C]238[/C][/ROW]
[ROW][C]0.46[/C][C]239.2[/C][C]241.5[/C][C]243[/C][C]243[/C][C]241.9[/C][C]238[/C][C]239.5[/C][C]243[/C][/ROW]
[ROW][C]0.47[/C][C]243[/C][C]243.15[/C][C]243[/C][C]243[/C][C]243.21[/C][C]243[/C][C]243.85[/C][C]243[/C][/ROW]
[ROW][C]0.48[/C][C]245.92[/C][C]253.6[/C][C]260[/C][C]260[/C][C]254.24[/C][C]244[/C][C]250.4[/C][C]260[/C][/ROW]
[ROW][C]0.49[/C][C]262.8[/C][C]265[/C][C]265[/C][C]265[/C][C]265[/C][C]265[/C][C]265[/C][C]265[/C][/ROW]
[ROW][C]0.5[/C][C]265[/C][C]266.5[/C][C]265[/C][C]266.5[/C][C]266.5[/C][C]265[/C][C]266.5[/C][C]266.5[/C][/ROW]
[ROW][C]0.51[/C][C]268.88[/C][C]269.9[/C][C]270[/C][C]270[/C][C]269.86[/C][C]268[/C][C]268.1[/C][C]270[/C][/ROW]
[ROW][C]0.52[/C][C]270.88[/C][C]271.4[/C][C]271[/C][C]271[/C][C]271.36[/C][C]271[/C][C]271.6[/C][C]271[/C][/ROW]
[ROW][C]0.53[/C][C]272.32[/C][C]272.85[/C][C]273[/C][C]273[/C][C]272.79[/C][C]272[/C][C]272.15[/C][C]273[/C][/ROW]
[ROW][C]0.54[/C][C]274.52[/C][C]275.9[/C][C]275[/C][C]275[/C][C]275.66[/C][C]275[/C][C]277.1[/C][C]275[/C][/ROW]
[ROW][C]0.55[/C][C]278.2[/C][C]278.75[/C][C]279[/C][C]279[/C][C]278.65[/C][C]278[/C][C]278.25[/C][C]279[/C][/ROW]
[ROW][C]0.56[/C][C]282.84[/C][C]286.8[/C][C]285[/C][C]285[/C][C]285.72[/C][C]285[/C][C]292.2[/C][C]285[/C][/ROW]
[ROW][C]0.57[/C][C]294.64[/C][C]299.2[/C][C]302[/C][C]302[/C][C]298.08[/C][C]294[/C][C]296.8[/C][C]302[/C][/ROW]
[ROW][C]0.58[/C][C]302.52[/C][C]303.3[/C][C]303[/C][C]303[/C][C]302.94[/C][C]303[/C][C]305.7[/C][C]303[/C][/ROW]
[ROW][C]0.59[/C][C]305.88[/C][C]306.55[/C][C]306[/C][C]306[/C][C]306.37[/C][C]306[/C][C]306.45[/C][C]307[/C][/ROW]
[ROW][C]0.6[/C][C]307[/C][C]307[/C][C]307[/C][C]307[/C][C]307[/C][C]307[/C][C]307[/C][C]307[/C][/ROW]
[ROW][C]0.61[/C][C]310.36[/C][C]311.9[/C][C]311[/C][C]311[/C][C]311.46[/C][C]311[/C][C]312.1[/C][C]311[/C][/ROW]
[ROW][C]0.62[/C][C]313.28[/C][C]313.9[/C][C]314[/C][C]314[/C][C]313.66[/C][C]313[/C][C]313.1[/C][C]314[/C][/ROW]
[ROW][C]0.63[/C][C]315.44[/C][C]316[/C][C]316[/C][C]316[/C][C]316[/C][C]316[/C][C]316[/C][C]316[/C][/ROW]
[ROW][C]0.64[/C][C]316.32[/C][C]317.6[/C][C]318[/C][C]318[/C][C]317.04[/C][C]316[/C][C]316.4[/C][C]318[/C][/ROW]
[ROW][C]0.65[/C][C]318.6[/C][C]319[/C][C]319[/C][C]319[/C][C]318.95[/C][C]319[/C][C]319[/C][C]319[/C][/ROW]
[ROW][C]0.66[/C][C]319.72[/C][C]331.6[/C][C]337[/C][C]337[/C][C]325.84[/C][C]319[/C][C]324.4[/C][C]337[/C][/ROW]
[ROW][C]0.67[/C][C]337.48[/C][C]338.45[/C][C]338[/C][C]338[/C][C]337.81[/C][C]337[/C][C]340.55[/C][C]338[/C][/ROW]
[ROW][C]0.68[/C][C]340.76[/C][C]342.2[/C][C]341[/C][C]341[/C][C]341.48[/C][C]341[/C][C]341.8[/C][C]343[/C][/ROW]
[ROW][C]0.69[/C][C]344.8[/C][C]348[/C][C]348[/C][C]348[/C][C]346.35[/C][C]343[/C][C]348[/C][C]348[/C][/ROW]
[ROW][C]0.7[/C][C]348[/C][C]348.5[/C][C]348[/C][C]348[/C][C]348.1[/C][C]348[/C][C]348.5[/C][C]348.5[/C][/ROW]
[ROW][C]0.71[/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]0.72[/C][C]353.76[/C][C]356[/C][C]356[/C][C]356[/C][C]355.72[/C][C]356[/C][C]356[/C][C]356[/C][/ROW]
[ROW][C]0.73[/C][C]356.12[/C][C]356.85[/C][C]357[/C][C]357[/C][C]356.39[/C][C]356[/C][C]356.15[/C][C]357[/C][/ROW]
[ROW][C]0.74[/C][C]358.68[/C][C]360.3[/C][C]360[/C][C]360[/C][C]359.46[/C][C]360[/C][C]360.7[/C][C]360[/C][/ROW]
[ROW][C]0.75[/C][C]361[/C][C]362.5[/C][C]361[/C][C]362[/C][C]361.5[/C][C]361[/C][C]361.5[/C][C]363[/C][/ROW]
[ROW][C]0.76[/C][C]363[/C][C]363.2[/C][C]363[/C][C]363[/C][C]363[/C][C]363[/C][C]363.8[/C][C]363[/C][/ROW]
[ROW][C]0.77[/C][C]363.88[/C][C]364.65[/C][C]364[/C][C]364[/C][C]364.11[/C][C]364[/C][C]364.35[/C][C]365[/C][/ROW]
[ROW][C]0.78[/C][C]368.2[/C][C]376.6[/C][C]375[/C][C]375[/C][C]370.4[/C][C]365[/C][C]389.4[/C][C]375[/C][/ROW]
[ROW][C]0.79[/C][C]387.16[/C][C]391.55[/C][C]391[/C][C]391[/C][C]390.52[/C][C]391[/C][C]391.45[/C][C]392[/C][/ROW]
[ROW][C]0.8[/C][C]393[/C][C]397[/C][C]397[/C][C]397[/C][C]394[/C][C]392[/C][C]397[/C][C]397[/C][/ROW]
[ROW][C]0.81[/C][C]402.12[/C][C]405[/C][C]405[/C][C]405[/C][C]403.64[/C][C]405[/C][C]405[/C][C]405[/C][/ROW]
[ROW][C]0.82[/C][C]405.08[/C][C]405.9[/C][C]406[/C][C]406[/C][C]405.26[/C][C]405[/C][C]405.1[/C][C]406[/C][/ROW]
[ROW][C]0.83[/C][C]406[/C][C]406.35[/C][C]406[/C][C]406[/C][C]406[/C][C]406[/C][C]406.65[/C][C]406[/C][/ROW]
[ROW][C]0.84[/C][C]406.96[/C][C]407.8[/C][C]407[/C][C]407[/C][C]407.12[/C][C]407[/C][C]407.2[/C][C]408[/C][/ROW]
[ROW][C]0.85[/C][C]410.4[/C][C]415[/C][C]414[/C][C]414[/C][C]411.3[/C][C]408[/C][C]417[/C][C]414[/C][/ROW]
[ROW][C]0.86[/C][C]417.36[/C][C]419.4[/C][C]418[/C][C]418[/C][C]417.92[/C][C]418[/C][C]418.6[/C][C]420[/C][/ROW]
[ROW][C]0.87[/C][C]420.28[/C][C]421.3[/C][C]421[/C][C]421[/C][C]420.41[/C][C]420[/C][C]422.7[/C][C]421[/C][/ROW]
[ROW][C]0.88[/C][C]422.44[/C][C]429[/C][C]423[/C][C]423[/C][C]422.68[/C][C]423[/C][C]427[/C][C]433[/C][/ROW]
[ROW][C]0.89[/C][C]433.48[/C][C]437.3[/C][C]436[/C][C]436[/C][C]433.81[/C][C]433[/C][C]460.7[/C][C]436[/C][/ROW]
[ROW][C]0.9[/C][C]451.6[/C][C]462[/C][C]462[/C][C]462[/C][C]454.2[/C][C]462[/C][C]462[/C][C]462[/C][/ROW]
[ROW][C]0.91[/C][C]462.08[/C][C]463.9[/C][C]464[/C][C]464[/C][C]462.26[/C][C]462[/C][C]462.1[/C][C]464[/C][/ROW]
[ROW][C]0.92[/C][C]464.96[/C][C]466.8[/C][C]466[/C][C]466[/C][C]465.12[/C][C]464[/C][C]467.2[/C][C]466[/C][/ROW]
[ROW][C]0.93[/C][C]467.84[/C][C]472.25[/C][C]468[/C][C]468[/C][C]467.98[/C][C]468[/C][C]468.75[/C][C]473[/C][/ROW]
[ROW][C]0.94[/C][C]473[/C][C]478.7[/C][C]473[/C][C]473[/C][C]473[/C][C]473[/C][C]486.3[/C][C]473[/C][/ROW]
[ROW][C]0.95[/C][C]488.2[/C][C]502.5[/C][C]492[/C][C]492[/C][C]489.15[/C][C]492[/C][C]495.5[/C][C]506[/C][/ROW]
[ROW][C]0.96[/C][C]506.72[/C][C]514.4[/C][C]509[/C][C]509[/C][C]506.84[/C][C]506[/C][C]530.6[/C][C]509[/C][/ROW]
[ROW][C]0.97[/C][C]527.36[/C][C]544.45[/C][C]536[/C][C]536[/C][C]528.17[/C][C]536[/C][C]540.55[/C][C]549[/C][/ROW]
[ROW][C]0.98[/C][C]550.32[/C][C]564.7[/C][C]560[/C][C]560[/C][C]550.54[/C][C]549[/C][C]602.3[/C][C]560[/C][/ROW]
[ROW][C]0.99[/C][C]586.32[/C][C]615.8[/C][C]607[/C][C]607[/C][C]586.79[/C][C]607[/C][C]614.2[/C][C]623[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=148998&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=148998&T=1

As an alternative you can also use a 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)
0.01108.52108.6113113113.86105109.4105
0.02114.76114.8115115115.86115113.2115
0.03116.96117.05119119119116117.95116
0.04119119119119119.72119119119
0.05120.4120.5122122122.6120121.5120
0.06124.56124.8126126126.58126123.2126
0.07127.24127.45130130130.03127129.55127
0.08131.56131.8133133133.44133131.2133
0.09133.96134.1134134135.74134135.9134
0.1136136136136136.3136136136
0.11136.84136.95137137139.92137136.05137
0.12141.28141.4142142142.64141141.6141
0.13144.88145.4146146146.59146142.6146
0.14147.32147.6149149149147148.4147
0.15149149149149149.45149149149
0.16150.04150.2151151150.88150150.8150
0.17154.84156.2159159160.24151153.8159
0.18162.68163.1163163163.74163163.9163
0.19165.08165.65167167167.68164165.35167
0.2170.2171171171171171171171
0.21171.24171.45172172172.03171171.55171
0.22172.68172.9173173173173172.1173
0.23173.72175.1179179178.34173176.9173
0.24179179179179179.64179179179
0.25181181181181181181181181
0.26181.44181.7182182182.36181181.3182
0.27183.76184.15184184184.61184184.85184
0.28186.28187.4189189189.12185186.6189
0.29191.28192.1192192192.94192193.9192
0.3194.2194.5195195194.9194194.5194.5
0.31196.28196.9197197197197195.1197
0.32197.24198.2200200199.28197198.8197
0.33200200200200200.38200200200
0.34201.92202.6202202203.24202203.4202
0.35204.4204.75205205205.25204204.25205
0.36209.2210.4210210210.96210211.6210
0.37213.96216.55219219218.37212214.45219
0.38225.48228.2228228228.68228229.8228
0.39230230230230230230230230
0.4230230230230230.2230230230
0.41231.12232.35234234232.89231232.65231
0.42234.48234.9235235235.06234234.1235
0.43235.92236236236236236236236
0.44236.36236.8237237236.92236236.2237
0.45237.8238238238238238238238
0.46239.2241.5243243241.9238239.5243
0.47243243.15243243243.21243243.85243
0.48245.92253.6260260254.24244250.4260
0.49262.8265265265265265265265
0.5265266.5265266.5266.5265266.5266.5
0.51268.88269.9270270269.86268268.1270
0.52270.88271.4271271271.36271271.6271
0.53272.32272.85273273272.79272272.15273
0.54274.52275.9275275275.66275277.1275
0.55278.2278.75279279278.65278278.25279
0.56282.84286.8285285285.72285292.2285
0.57294.64299.2302302298.08294296.8302
0.58302.52303.3303303302.94303305.7303
0.59305.88306.55306306306.37306306.45307
0.6307307307307307307307307
0.61310.36311.9311311311.46311312.1311
0.62313.28313.9314314313.66313313.1314
0.63315.44316316316316316316316
0.64316.32317.6318318317.04316316.4318
0.65318.6319319319318.95319319319
0.66319.72331.6337337325.84319324.4337
0.67337.48338.45338338337.81337340.55338
0.68340.76342.2341341341.48341341.8343
0.69344.8348348348346.35343348348
0.7348348.5348348348.1348348.5348.5
0.71349349349349349349349349
0.72353.76356356356355.72356356356
0.73356.12356.85357357356.39356356.15357
0.74358.68360.3360360359.46360360.7360
0.75361362.5361362361.5361361.5363
0.76363363.2363363363363363.8363
0.77363.88364.65364364364.11364364.35365
0.78368.2376.6375375370.4365389.4375
0.79387.16391.55391391390.52391391.45392
0.8393397397397394392397397
0.81402.12405405405403.64405405405
0.82405.08405.9406406405.26405405.1406
0.83406406.35406406406406406.65406
0.84406.96407.8407407407.12407407.2408
0.85410.4415414414411.3408417414
0.86417.36419.4418418417.92418418.6420
0.87420.28421.3421421420.41420422.7421
0.88422.44429423423422.68423427433
0.89433.48437.3436436433.81433460.7436
0.9451.6462462462454.2462462462
0.91462.08463.9464464462.26462462.1464
0.92464.96466.8466466465.12464467.2466
0.93467.84472.25468468467.98468468.75473
0.94473478.7473473473473486.3473
0.95488.2502.5492492489.15492495.5506
0.96506.72514.4509509506.84506530.6509
0.97527.36544.45536536528.17536540.55549
0.98550.32564.7560560550.54549602.3560
0.99586.32615.8607607586.79607614.2623



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')