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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 08 Mar 2010 03:16:53 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Mar/08/t1268043548loshg78bpprov9t.htm/, Retrieved Fri, 28 Jan 2022 08:44:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74119, Retrieved Fri, 28 Jan 2022 08:44:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact136
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Datareeks - retai...] [2010-03-08 10:16:53] [35611de12c9fa8a4a915f3548e0dcd01] [Current]
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Dataseries X:
357704
281463
282445
319107
315278
328499
321151
328025
326280
313444
319639
324067
386918
293009
294822
338844
335407
345080
350608
351285
355147
332791
335615
343202
404868
317902
313552
361505
351436
373350
366310
361669
375078
345547
348117
356089
416856
328087
322747
373626
358275
391287
376371
371848
387261
353159
367855
376822
425283
342191
344062
373587
370144
399979
380431
385909
384798
352554
352479
338788
387964
313593
304056
334149
336155
354668
351418
354316
359483
330411
344726
347175




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 4 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74119&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74119&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74119&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 time4 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.01282687.8145362783439.02515898552
0.02285294.1222136356367.71999731762
0.03288932.1786399898252.42592901633
0.04293059.7981720849161.32930090378
0.05297230.9004114729451.64117126488
0.06301161.1615913189219.82805448733
0.07304687.3594419018498.93693762454
0.08307728.275477187445.6694653306
0.09310270.2239621116310.99560788742
0.1312357.4346759345324.18944126717
0.11314073.1966424284613.81039104674
0.12315514.8236389674192.39787046548
0.13316772.1304700623995.811930483
0.14317915.450268763940.25455879695
0.15318993.1134080483961.71990751717
0.16320034.7992929294020.18011039002
0.17321056.8907670274091.92720996406
0.18322067.3784978514164.29909321098
0.19323069.4273037754228.50018458533
0.2324063.6785576934280.53068745067
0.21325049.6783599134320.36026266734
0.22326026.7617837014350.66812591107
0.23326994.5672388374377.64231254158
0.24327953.2543177944403.72459436958
0.25328903.481046364432.27267111689
0.26329846.2224402514463.28070075162
0.27330782.5320969224495.29491989527
0.28331713.3359130264526.67713821044
0.29332639.3051013634556.0326816822
0.3333560.8060552684581.91557176334
0.31334477.8906926674604.44829270766
0.32335390.2852962414622.18566769907
0.33336297.3559126064634.38681089393
0.34337198.0598212234637.90071912776
0.35338090.9177273754629.31493741347
0.36338974.0473463634605.59705177184
0.37339845.2829617704564.84321524578
0.38340702.374451364506.3159721582
0.39341543.2264532154432.86606563255
0.4342366.1174158924347.40697976387
0.41343169.8379104084255.01028296504
0.42343953.7085785924159.92481519154
0.43344717.4735741754064.69341110233
0.44345461.1036096333970.71242526889
0.45346184.5714351493876.37035990041
0.46346887.6728802723778.19951306279
0.47347569.9556780133674.15101648281
0.48348230.7899016043561.86240243955
0.49348869.5766752113442.08167845517
0.5349486.0565780723316.3396344151
0.51350080.6552628413189.82943885066
0.52350654.7967650933071.11250445096
0.53351211.1251839452967.73980508992
0.54351753.5985287852888.23652938748
0.55352287.4471976682841.45881117439
0.56352819.0157543212833.03168117119
0.57353355.5239489282866.18386580704
0.58353904.7879048462943.44087739335
0.59354474.935250163064.33492459871
0.6355074.1319805173227.08401955119
0.61355710.31926383429.13123319549
0.62356390.9411872583666.03068735007
0.63357122.6350205593932.93414349856
0.64357910.8578292334222.5606311033
0.65358759.4388634014525.09113435318
0.66359670.0748816664828.06660742375
0.67360641.8211211275117.45681644927
0.68361670.6666443735375.10278721002
0.69362749.3097439335583.64777735047
0.7363867.2569149565725.9946891999
0.71365011.3494500135788.88463207503
0.72366166.771261145765.27311610676
0.73367318.5128373775656.42008615385
0.74368453.1691297765472.58248433767
0.75369560.849473065234.43963245039
0.76370636.8948488644971.15246801567
0.77371683.052031974718.72773213507
0.78372707.7640387654513.93411643042
0.79373725.3175050474388.82920145347
0.8374753.7514609754362.2674326764
0.81375811.6814413344432.2734330957
0.82376914.5141438824573.29039750066
0.83378070.8776552534741.60558230506
0.84379280.386349534883.0834256895
0.85380533.9717214524948.61905630906
0.86381817.7921047254909.06578358157
0.87383121.060828724769.90149909819
0.88384446.9771781824583.39841020629
0.89385824.4779912974454.42866268059
0.9387317.2223355324525.93075109236
0.91389025.8729828694928.82558284184
0.92391081.1820795745703.55616393621
0.93393628.6693795556769.61555797486
0.94396808.8883276967966.53808121584
0.95400736.1455032139114.33258042244
0.96405467.80550275110024.5573504684
0.97410932.65483769110423.9595590144
0.98416762.69807852610002.5802419766
0.99422034.8933746378974.01300980642

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 282687.814536278 & 3439.02515898552 \tabularnewline
0.02 & 285294.122213635 & 6367.71999731762 \tabularnewline
0.03 & 288932.178639989 & 8252.42592901633 \tabularnewline
0.04 & 293059.798172084 & 9161.32930090378 \tabularnewline
0.05 & 297230.900411472 & 9451.64117126488 \tabularnewline
0.06 & 301161.161591318 & 9219.82805448733 \tabularnewline
0.07 & 304687.359441901 & 8498.93693762454 \tabularnewline
0.08 & 307728.27547718 & 7445.6694653306 \tabularnewline
0.09 & 310270.223962111 & 6310.99560788742 \tabularnewline
0.1 & 312357.434675934 & 5324.18944126717 \tabularnewline
0.11 & 314073.196642428 & 4613.81039104674 \tabularnewline
0.12 & 315514.823638967 & 4192.39787046548 \tabularnewline
0.13 & 316772.130470062 & 3995.811930483 \tabularnewline
0.14 & 317915.45026876 & 3940.25455879695 \tabularnewline
0.15 & 318993.113408048 & 3961.71990751717 \tabularnewline
0.16 & 320034.799292929 & 4020.18011039002 \tabularnewline
0.17 & 321056.890767027 & 4091.92720996406 \tabularnewline
0.18 & 322067.378497851 & 4164.29909321098 \tabularnewline
0.19 & 323069.427303775 & 4228.50018458533 \tabularnewline
0.2 & 324063.678557693 & 4280.53068745067 \tabularnewline
0.21 & 325049.678359913 & 4320.36026266734 \tabularnewline
0.22 & 326026.761783701 & 4350.66812591107 \tabularnewline
0.23 & 326994.567238837 & 4377.64231254158 \tabularnewline
0.24 & 327953.254317794 & 4403.72459436958 \tabularnewline
0.25 & 328903.48104636 & 4432.27267111689 \tabularnewline
0.26 & 329846.222440251 & 4463.28070075162 \tabularnewline
0.27 & 330782.532096922 & 4495.29491989527 \tabularnewline
0.28 & 331713.335913026 & 4526.67713821044 \tabularnewline
0.29 & 332639.305101363 & 4556.0326816822 \tabularnewline
0.3 & 333560.806055268 & 4581.91557176334 \tabularnewline
0.31 & 334477.890692667 & 4604.44829270766 \tabularnewline
0.32 & 335390.285296241 & 4622.18566769907 \tabularnewline
0.33 & 336297.355912606 & 4634.38681089393 \tabularnewline
0.34 & 337198.059821223 & 4637.90071912776 \tabularnewline
0.35 & 338090.917727375 & 4629.31493741347 \tabularnewline
0.36 & 338974.047346363 & 4605.59705177184 \tabularnewline
0.37 & 339845.282961770 & 4564.84321524578 \tabularnewline
0.38 & 340702.37445136 & 4506.3159721582 \tabularnewline
0.39 & 341543.226453215 & 4432.86606563255 \tabularnewline
0.4 & 342366.117415892 & 4347.40697976387 \tabularnewline
0.41 & 343169.837910408 & 4255.01028296504 \tabularnewline
0.42 & 343953.708578592 & 4159.92481519154 \tabularnewline
0.43 & 344717.473574175 & 4064.69341110233 \tabularnewline
0.44 & 345461.103609633 & 3970.71242526889 \tabularnewline
0.45 & 346184.571435149 & 3876.37035990041 \tabularnewline
0.46 & 346887.672880272 & 3778.19951306279 \tabularnewline
0.47 & 347569.955678013 & 3674.15101648281 \tabularnewline
0.48 & 348230.789901604 & 3561.86240243955 \tabularnewline
0.49 & 348869.576675211 & 3442.08167845517 \tabularnewline
0.5 & 349486.056578072 & 3316.3396344151 \tabularnewline
0.51 & 350080.655262841 & 3189.82943885066 \tabularnewline
0.52 & 350654.796765093 & 3071.11250445096 \tabularnewline
0.53 & 351211.125183945 & 2967.73980508992 \tabularnewline
0.54 & 351753.598528785 & 2888.23652938748 \tabularnewline
0.55 & 352287.447197668 & 2841.45881117439 \tabularnewline
0.56 & 352819.015754321 & 2833.03168117119 \tabularnewline
0.57 & 353355.523948928 & 2866.18386580704 \tabularnewline
0.58 & 353904.787904846 & 2943.44087739335 \tabularnewline
0.59 & 354474.93525016 & 3064.33492459871 \tabularnewline
0.6 & 355074.131980517 & 3227.08401955119 \tabularnewline
0.61 & 355710.3192638 & 3429.13123319549 \tabularnewline
0.62 & 356390.941187258 & 3666.03068735007 \tabularnewline
0.63 & 357122.635020559 & 3932.93414349856 \tabularnewline
0.64 & 357910.857829233 & 4222.5606311033 \tabularnewline
0.65 & 358759.438863401 & 4525.09113435318 \tabularnewline
0.66 & 359670.074881666 & 4828.06660742375 \tabularnewline
0.67 & 360641.821121127 & 5117.45681644927 \tabularnewline
0.68 & 361670.666644373 & 5375.10278721002 \tabularnewline
0.69 & 362749.309743933 & 5583.64777735047 \tabularnewline
0.7 & 363867.256914956 & 5725.9946891999 \tabularnewline
0.71 & 365011.349450013 & 5788.88463207503 \tabularnewline
0.72 & 366166.77126114 & 5765.27311610676 \tabularnewline
0.73 & 367318.512837377 & 5656.42008615385 \tabularnewline
0.74 & 368453.169129776 & 5472.58248433767 \tabularnewline
0.75 & 369560.84947306 & 5234.43963245039 \tabularnewline
0.76 & 370636.894848864 & 4971.15246801567 \tabularnewline
0.77 & 371683.05203197 & 4718.72773213507 \tabularnewline
0.78 & 372707.764038765 & 4513.93411643042 \tabularnewline
0.79 & 373725.317505047 & 4388.82920145347 \tabularnewline
0.8 & 374753.751460975 & 4362.2674326764 \tabularnewline
0.81 & 375811.681441334 & 4432.2734330957 \tabularnewline
0.82 & 376914.514143882 & 4573.29039750066 \tabularnewline
0.83 & 378070.877655253 & 4741.60558230506 \tabularnewline
0.84 & 379280.38634953 & 4883.0834256895 \tabularnewline
0.85 & 380533.971721452 & 4948.61905630906 \tabularnewline
0.86 & 381817.792104725 & 4909.06578358157 \tabularnewline
0.87 & 383121.06082872 & 4769.90149909819 \tabularnewline
0.88 & 384446.977178182 & 4583.39841020629 \tabularnewline
0.89 & 385824.477991297 & 4454.42866268059 \tabularnewline
0.9 & 387317.222335532 & 4525.93075109236 \tabularnewline
0.91 & 389025.872982869 & 4928.82558284184 \tabularnewline
0.92 & 391081.182079574 & 5703.55616393621 \tabularnewline
0.93 & 393628.669379555 & 6769.61555797486 \tabularnewline
0.94 & 396808.888327696 & 7966.53808121584 \tabularnewline
0.95 & 400736.145503213 & 9114.33258042244 \tabularnewline
0.96 & 405467.805502751 & 10024.5573504684 \tabularnewline
0.97 & 410932.654837691 & 10423.9595590144 \tabularnewline
0.98 & 416762.698078526 & 10002.5802419766 \tabularnewline
0.99 & 422034.893374637 & 8974.01300980642 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74119&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]282687.814536278[/C][C]3439.02515898552[/C][/ROW]
[ROW][C]0.02[/C][C]285294.122213635[/C][C]6367.71999731762[/C][/ROW]
[ROW][C]0.03[/C][C]288932.178639989[/C][C]8252.42592901633[/C][/ROW]
[ROW][C]0.04[/C][C]293059.798172084[/C][C]9161.32930090378[/C][/ROW]
[ROW][C]0.05[/C][C]297230.900411472[/C][C]9451.64117126488[/C][/ROW]
[ROW][C]0.06[/C][C]301161.161591318[/C][C]9219.82805448733[/C][/ROW]
[ROW][C]0.07[/C][C]304687.359441901[/C][C]8498.93693762454[/C][/ROW]
[ROW][C]0.08[/C][C]307728.27547718[/C][C]7445.6694653306[/C][/ROW]
[ROW][C]0.09[/C][C]310270.223962111[/C][C]6310.99560788742[/C][/ROW]
[ROW][C]0.1[/C][C]312357.434675934[/C][C]5324.18944126717[/C][/ROW]
[ROW][C]0.11[/C][C]314073.196642428[/C][C]4613.81039104674[/C][/ROW]
[ROW][C]0.12[/C][C]315514.823638967[/C][C]4192.39787046548[/C][/ROW]
[ROW][C]0.13[/C][C]316772.130470062[/C][C]3995.811930483[/C][/ROW]
[ROW][C]0.14[/C][C]317915.45026876[/C][C]3940.25455879695[/C][/ROW]
[ROW][C]0.15[/C][C]318993.113408048[/C][C]3961.71990751717[/C][/ROW]
[ROW][C]0.16[/C][C]320034.799292929[/C][C]4020.18011039002[/C][/ROW]
[ROW][C]0.17[/C][C]321056.890767027[/C][C]4091.92720996406[/C][/ROW]
[ROW][C]0.18[/C][C]322067.378497851[/C][C]4164.29909321098[/C][/ROW]
[ROW][C]0.19[/C][C]323069.427303775[/C][C]4228.50018458533[/C][/ROW]
[ROW][C]0.2[/C][C]324063.678557693[/C][C]4280.53068745067[/C][/ROW]
[ROW][C]0.21[/C][C]325049.678359913[/C][C]4320.36026266734[/C][/ROW]
[ROW][C]0.22[/C][C]326026.761783701[/C][C]4350.66812591107[/C][/ROW]
[ROW][C]0.23[/C][C]326994.567238837[/C][C]4377.64231254158[/C][/ROW]
[ROW][C]0.24[/C][C]327953.254317794[/C][C]4403.72459436958[/C][/ROW]
[ROW][C]0.25[/C][C]328903.48104636[/C][C]4432.27267111689[/C][/ROW]
[ROW][C]0.26[/C][C]329846.222440251[/C][C]4463.28070075162[/C][/ROW]
[ROW][C]0.27[/C][C]330782.532096922[/C][C]4495.29491989527[/C][/ROW]
[ROW][C]0.28[/C][C]331713.335913026[/C][C]4526.67713821044[/C][/ROW]
[ROW][C]0.29[/C][C]332639.305101363[/C][C]4556.0326816822[/C][/ROW]
[ROW][C]0.3[/C][C]333560.806055268[/C][C]4581.91557176334[/C][/ROW]
[ROW][C]0.31[/C][C]334477.890692667[/C][C]4604.44829270766[/C][/ROW]
[ROW][C]0.32[/C][C]335390.285296241[/C][C]4622.18566769907[/C][/ROW]
[ROW][C]0.33[/C][C]336297.355912606[/C][C]4634.38681089393[/C][/ROW]
[ROW][C]0.34[/C][C]337198.059821223[/C][C]4637.90071912776[/C][/ROW]
[ROW][C]0.35[/C][C]338090.917727375[/C][C]4629.31493741347[/C][/ROW]
[ROW][C]0.36[/C][C]338974.047346363[/C][C]4605.59705177184[/C][/ROW]
[ROW][C]0.37[/C][C]339845.282961770[/C][C]4564.84321524578[/C][/ROW]
[ROW][C]0.38[/C][C]340702.37445136[/C][C]4506.3159721582[/C][/ROW]
[ROW][C]0.39[/C][C]341543.226453215[/C][C]4432.86606563255[/C][/ROW]
[ROW][C]0.4[/C][C]342366.117415892[/C][C]4347.40697976387[/C][/ROW]
[ROW][C]0.41[/C][C]343169.837910408[/C][C]4255.01028296504[/C][/ROW]
[ROW][C]0.42[/C][C]343953.708578592[/C][C]4159.92481519154[/C][/ROW]
[ROW][C]0.43[/C][C]344717.473574175[/C][C]4064.69341110233[/C][/ROW]
[ROW][C]0.44[/C][C]345461.103609633[/C][C]3970.71242526889[/C][/ROW]
[ROW][C]0.45[/C][C]346184.571435149[/C][C]3876.37035990041[/C][/ROW]
[ROW][C]0.46[/C][C]346887.672880272[/C][C]3778.19951306279[/C][/ROW]
[ROW][C]0.47[/C][C]347569.955678013[/C][C]3674.15101648281[/C][/ROW]
[ROW][C]0.48[/C][C]348230.789901604[/C][C]3561.86240243955[/C][/ROW]
[ROW][C]0.49[/C][C]348869.576675211[/C][C]3442.08167845517[/C][/ROW]
[ROW][C]0.5[/C][C]349486.056578072[/C][C]3316.3396344151[/C][/ROW]
[ROW][C]0.51[/C][C]350080.655262841[/C][C]3189.82943885066[/C][/ROW]
[ROW][C]0.52[/C][C]350654.796765093[/C][C]3071.11250445096[/C][/ROW]
[ROW][C]0.53[/C][C]351211.125183945[/C][C]2967.73980508992[/C][/ROW]
[ROW][C]0.54[/C][C]351753.598528785[/C][C]2888.23652938748[/C][/ROW]
[ROW][C]0.55[/C][C]352287.447197668[/C][C]2841.45881117439[/C][/ROW]
[ROW][C]0.56[/C][C]352819.015754321[/C][C]2833.03168117119[/C][/ROW]
[ROW][C]0.57[/C][C]353355.523948928[/C][C]2866.18386580704[/C][/ROW]
[ROW][C]0.58[/C][C]353904.787904846[/C][C]2943.44087739335[/C][/ROW]
[ROW][C]0.59[/C][C]354474.93525016[/C][C]3064.33492459871[/C][/ROW]
[ROW][C]0.6[/C][C]355074.131980517[/C][C]3227.08401955119[/C][/ROW]
[ROW][C]0.61[/C][C]355710.3192638[/C][C]3429.13123319549[/C][/ROW]
[ROW][C]0.62[/C][C]356390.941187258[/C][C]3666.03068735007[/C][/ROW]
[ROW][C]0.63[/C][C]357122.635020559[/C][C]3932.93414349856[/C][/ROW]
[ROW][C]0.64[/C][C]357910.857829233[/C][C]4222.5606311033[/C][/ROW]
[ROW][C]0.65[/C][C]358759.438863401[/C][C]4525.09113435318[/C][/ROW]
[ROW][C]0.66[/C][C]359670.074881666[/C][C]4828.06660742375[/C][/ROW]
[ROW][C]0.67[/C][C]360641.821121127[/C][C]5117.45681644927[/C][/ROW]
[ROW][C]0.68[/C][C]361670.666644373[/C][C]5375.10278721002[/C][/ROW]
[ROW][C]0.69[/C][C]362749.309743933[/C][C]5583.64777735047[/C][/ROW]
[ROW][C]0.7[/C][C]363867.256914956[/C][C]5725.9946891999[/C][/ROW]
[ROW][C]0.71[/C][C]365011.349450013[/C][C]5788.88463207503[/C][/ROW]
[ROW][C]0.72[/C][C]366166.77126114[/C][C]5765.27311610676[/C][/ROW]
[ROW][C]0.73[/C][C]367318.512837377[/C][C]5656.42008615385[/C][/ROW]
[ROW][C]0.74[/C][C]368453.169129776[/C][C]5472.58248433767[/C][/ROW]
[ROW][C]0.75[/C][C]369560.84947306[/C][C]5234.43963245039[/C][/ROW]
[ROW][C]0.76[/C][C]370636.894848864[/C][C]4971.15246801567[/C][/ROW]
[ROW][C]0.77[/C][C]371683.05203197[/C][C]4718.72773213507[/C][/ROW]
[ROW][C]0.78[/C][C]372707.764038765[/C][C]4513.93411643042[/C][/ROW]
[ROW][C]0.79[/C][C]373725.317505047[/C][C]4388.82920145347[/C][/ROW]
[ROW][C]0.8[/C][C]374753.751460975[/C][C]4362.2674326764[/C][/ROW]
[ROW][C]0.81[/C][C]375811.681441334[/C][C]4432.2734330957[/C][/ROW]
[ROW][C]0.82[/C][C]376914.514143882[/C][C]4573.29039750066[/C][/ROW]
[ROW][C]0.83[/C][C]378070.877655253[/C][C]4741.60558230506[/C][/ROW]
[ROW][C]0.84[/C][C]379280.38634953[/C][C]4883.0834256895[/C][/ROW]
[ROW][C]0.85[/C][C]380533.971721452[/C][C]4948.61905630906[/C][/ROW]
[ROW][C]0.86[/C][C]381817.792104725[/C][C]4909.06578358157[/C][/ROW]
[ROW][C]0.87[/C][C]383121.06082872[/C][C]4769.90149909819[/C][/ROW]
[ROW][C]0.88[/C][C]384446.977178182[/C][C]4583.39841020629[/C][/ROW]
[ROW][C]0.89[/C][C]385824.477991297[/C][C]4454.42866268059[/C][/ROW]
[ROW][C]0.9[/C][C]387317.222335532[/C][C]4525.93075109236[/C][/ROW]
[ROW][C]0.91[/C][C]389025.872982869[/C][C]4928.82558284184[/C][/ROW]
[ROW][C]0.92[/C][C]391081.182079574[/C][C]5703.55616393621[/C][/ROW]
[ROW][C]0.93[/C][C]393628.669379555[/C][C]6769.61555797486[/C][/ROW]
[ROW][C]0.94[/C][C]396808.888327696[/C][C]7966.53808121584[/C][/ROW]
[ROW][C]0.95[/C][C]400736.145503213[/C][C]9114.33258042244[/C][/ROW]
[ROW][C]0.96[/C][C]405467.805502751[/C][C]10024.5573504684[/C][/ROW]
[ROW][C]0.97[/C][C]410932.654837691[/C][C]10423.9595590144[/C][/ROW]
[ROW][C]0.98[/C][C]416762.698078526[/C][C]10002.5802419766[/C][/ROW]
[ROW][C]0.99[/C][C]422034.893374637[/C][C]8974.01300980642[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74119&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74119&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.01282687.8145362783439.02515898552
0.02285294.1222136356367.71999731762
0.03288932.1786399898252.42592901633
0.04293059.7981720849161.32930090378
0.05297230.9004114729451.64117126488
0.06301161.1615913189219.82805448733
0.07304687.3594419018498.93693762454
0.08307728.275477187445.6694653306
0.09310270.2239621116310.99560788742
0.1312357.4346759345324.18944126717
0.11314073.1966424284613.81039104674
0.12315514.8236389674192.39787046548
0.13316772.1304700623995.811930483
0.14317915.450268763940.25455879695
0.15318993.1134080483961.71990751717
0.16320034.7992929294020.18011039002
0.17321056.8907670274091.92720996406
0.18322067.3784978514164.29909321098
0.19323069.4273037754228.50018458533
0.2324063.6785576934280.53068745067
0.21325049.6783599134320.36026266734
0.22326026.7617837014350.66812591107
0.23326994.5672388374377.64231254158
0.24327953.2543177944403.72459436958
0.25328903.481046364432.27267111689
0.26329846.2224402514463.28070075162
0.27330782.5320969224495.29491989527
0.28331713.3359130264526.67713821044
0.29332639.3051013634556.0326816822
0.3333560.8060552684581.91557176334
0.31334477.8906926674604.44829270766
0.32335390.2852962414622.18566769907
0.33336297.3559126064634.38681089393
0.34337198.0598212234637.90071912776
0.35338090.9177273754629.31493741347
0.36338974.0473463634605.59705177184
0.37339845.2829617704564.84321524578
0.38340702.374451364506.3159721582
0.39341543.2264532154432.86606563255
0.4342366.1174158924347.40697976387
0.41343169.8379104084255.01028296504
0.42343953.7085785924159.92481519154
0.43344717.4735741754064.69341110233
0.44345461.1036096333970.71242526889
0.45346184.5714351493876.37035990041
0.46346887.6728802723778.19951306279
0.47347569.9556780133674.15101648281
0.48348230.7899016043561.86240243955
0.49348869.5766752113442.08167845517
0.5349486.0565780723316.3396344151
0.51350080.6552628413189.82943885066
0.52350654.7967650933071.11250445096
0.53351211.1251839452967.73980508992
0.54351753.5985287852888.23652938748
0.55352287.4471976682841.45881117439
0.56352819.0157543212833.03168117119
0.57353355.5239489282866.18386580704
0.58353904.7879048462943.44087739335
0.59354474.935250163064.33492459871
0.6355074.1319805173227.08401955119
0.61355710.31926383429.13123319549
0.62356390.9411872583666.03068735007
0.63357122.6350205593932.93414349856
0.64357910.8578292334222.5606311033
0.65358759.4388634014525.09113435318
0.66359670.0748816664828.06660742375
0.67360641.8211211275117.45681644927
0.68361670.6666443735375.10278721002
0.69362749.3097439335583.64777735047
0.7363867.2569149565725.9946891999
0.71365011.3494500135788.88463207503
0.72366166.771261145765.27311610676
0.73367318.5128373775656.42008615385
0.74368453.1691297765472.58248433767
0.75369560.849473065234.43963245039
0.76370636.8948488644971.15246801567
0.77371683.052031974718.72773213507
0.78372707.7640387654513.93411643042
0.79373725.3175050474388.82920145347
0.8374753.7514609754362.2674326764
0.81375811.6814413344432.2734330957
0.82376914.5141438824573.29039750066
0.83378070.8776552534741.60558230506
0.84379280.386349534883.0834256895
0.85380533.9717214524948.61905630906
0.86381817.7921047254909.06578358157
0.87383121.060828724769.90149909819
0.88384446.9771781824583.39841020629
0.89385824.4779912974454.42866268059
0.9387317.2223355324525.93075109236
0.91389025.8729828694928.82558284184
0.92391081.1820795745703.55616393621
0.93393628.6693795556769.61555797486
0.94396808.8883276967966.53808121584
0.95400736.1455032139114.33258042244
0.96405467.80550275110024.5573504684
0.97410932.65483769110423.9595590144
0.98416762.69807852610002.5802419766
0.99422034.8933746378974.01300980642



Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')