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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 21 Dec 2012 10:26:43 -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/2012/Dec/21/t13561036200vsnd6atnmt30go.htm/, Retrieved Thu, 25 Apr 2024 07:03:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=203800, Retrieved Thu, 25 Apr 2024 07:03:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact85

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [Boxplot gemiddeld...] [2012-10-05 17:50:48] [414c2ec381eb4adb801f9ac6823317d8]
- RMPD  [Harrell-Davis Quantiles] [Decielen inschrij...] [2012-10-05 17:57:24] [414c2ec381eb4adb801f9ac6823317d8]
- R P     [Harrell-Davis Quantiles] [Harrell-Davis Per...] [2012-10-08 07:03:49] [414c2ec381eb4adb801f9ac6823317d8]
-    D        [Harrell-Davis Quantiles] [] [2012-12-21 15:26:43] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
299.81
299.01
296.82
296.67
296.95
296.80
296.80
295.93
293.77
291.02
288.61
284.55
284.55
278.14
273.28
270.14
268.36
267.15
267.15
265.47
261.75
256.51
252.98
251.17
251.17
244.27
240.54
238.92
237.47
235.91
235.91
231.41
224.94
222.19
219.06
217.83
217.83
216.89
213.84
212.90
213.98
215.31
215.31
214.09
213.71
211.54
209.40
207.33
207.33
202.75
200.26
198.99
198.82
198.43
198.43
195.68
195.45
193.65
191.38
189.71
189.71
185.49
183.01
182.38
181.60
182.13
182.13
180.81
180.25
179.84
178.50
178.11

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203800&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203800&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203800&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01178.3303300618180.603043974105566
0.02178.7347696293990.871991905443045
0.03179.2352402943681.01164448409799
0.04179.7530995786861.04347302261719
0.05180.2482345514511.05369087592374
0.06180.7146670452711.09741739226557
0.07181.1668398998071.20257084559419
0.08181.6289297435141.39598268985349
0.09182.1289881157611.69907385685515
0.1182.6950941436762.11192028817945
0.11183.3512531240812.60629770716709
0.12184.1130646570583.13520946584724
0.13184.984557844533.64459305567012
0.14185.9574433187964.08635996292917
0.15187.0130290506024.42691548144438
0.16188.1260519161884.65243260865001
0.17189.2691917743774.76660456142166
0.18190.4171236124344.7865580869279
0.19191.5494099928154.736973410502
0.2192.6520495500844.6454686922728
0.21193.7178643728744.53929549464657
0.22194.7460555318974.44437455439756
0.23195.7412264349154.38328954071426
0.24196.7120683955344.37374971034018
0.25197.6698137848924.42635968342368
0.26198.6265357357084.54210220649881
0.27199.5934056138934.71072573154145
0.28200.5790743558744.91307532808227
0.29201.5883790183215.12271179502492
0.3202.6215634756855.3116863782983
0.31203.6741374059945.45403581588018
0.32204.7373968491615.52904837469497
0.33205.7995206063775.52416561388172
0.34206.8470676668885.43597664054617
0.35207.8666510387385.27045454994389
0.36208.8465592248395.04189278524997
0.37209.7781322810184.76996651774571
0.38210.6567608969264.48053061007789
0.39211.4824473485354.19968117378496
0.4212.2599313383933.95539489939103
0.41212.9984312358153.77384602210742
0.42213.7110774422793.67735725139914
0.43214.4141204336463.68442547271529
0.44215.1259867020143.8053432857261
0.45215.8662392626634.04322061017363
0.46216.6544842842174.39346810674041
0.47217.5092590346644.84388167721426
0.48218.4469425405225.37669934558479
0.49219.4807479795475.96961648246321
0.5220.6198784118376.59566517542244
0.51221.8689445698477.22651982333664
0.52223.2277436539647.83279634486927
0.53224.691472972038.38871620014725
0.54226.2514000678688.87315173111077
0.55227.8959387003799.27352941772797
0.56229.6120027190269.58615955062999
0.57231.3864470381319.81613661253141
0.58233.2073748350659.97746565831417
0.59235.06510397473110.0877663594324
0.6236.95264355720510.1668406445076
0.61238.86562178811710.2313676165564
0.62240.80170910323310.2921307944255
0.63242.75967331714210.3522835736279
0.64244.73826832178810.4073868482265
0.65246.73518489851210.4471971391701
0.66248.74628118091210.4573815863331
0.67250.76526727865910.4236535363513
0.68252.78395137436310.3346679459092
0.69254.79306923980510.183824789908
0.7256.7836195615399.97380117806819
0.71258.7485193461899.71555353146692
0.72260.6842897951629.43125490556482
0.73262.5924068639749.15073844375353
0.74264.4799338914898.90767755418045
0.75266.3591258508988.7343454272252
0.76268.2458680491698.65108252295529
0.77270.1570664264198.66088653051261
0.78272.1073843697918.74420992871892
0.79274.1059374820048.86224515363123
0.8276.1536284735958.96437168233143
0.81278.2416812131488.9990781248888
0.82280.3516350261998.92367463557207
0.83282.4566814310818.70910382398962
0.84284.5239078952858.3441170077938
0.85286.5168903902497.83145408703125
0.86288.3982064393227.18458883382214
0.87290.1317623994246.42380735446332
0.88291.68517590245.57445530909782
0.89293.0326294516674.66814796399098
0.9294.1584967818173.74565515723482
0.91295.0616747960762.85763237587555
0.92295.760065326992.06176299832729
0.93296.2940736756631.41772460381563
0.94296.7270732848390.987674377200404
0.95297.1392777578960.839696591857677
0.96297.6101664663950.956359104972928
0.97298.1863600839991.15101870572117
0.98298.8404839792831.19737348236857
0.99299.4447247840051.00446614150234

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 178.330330061818 & 0.603043974105566 \tabularnewline
0.02 & 178.734769629399 & 0.871991905443045 \tabularnewline
0.03 & 179.235240294368 & 1.01164448409799 \tabularnewline
0.04 & 179.753099578686 & 1.04347302261719 \tabularnewline
0.05 & 180.248234551451 & 1.05369087592374 \tabularnewline
0.06 & 180.714667045271 & 1.09741739226557 \tabularnewline
0.07 & 181.166839899807 & 1.20257084559419 \tabularnewline
0.08 & 181.628929743514 & 1.39598268985349 \tabularnewline
0.09 & 182.128988115761 & 1.69907385685515 \tabularnewline
0.1 & 182.695094143676 & 2.11192028817945 \tabularnewline
0.11 & 183.351253124081 & 2.60629770716709 \tabularnewline
0.12 & 184.113064657058 & 3.13520946584724 \tabularnewline
0.13 & 184.98455784453 & 3.64459305567012 \tabularnewline
0.14 & 185.957443318796 & 4.08635996292917 \tabularnewline
0.15 & 187.013029050602 & 4.42691548144438 \tabularnewline
0.16 & 188.126051916188 & 4.65243260865001 \tabularnewline
0.17 & 189.269191774377 & 4.76660456142166 \tabularnewline
0.18 & 190.417123612434 & 4.7865580869279 \tabularnewline
0.19 & 191.549409992815 & 4.736973410502 \tabularnewline
0.2 & 192.652049550084 & 4.6454686922728 \tabularnewline
0.21 & 193.717864372874 & 4.53929549464657 \tabularnewline
0.22 & 194.746055531897 & 4.44437455439756 \tabularnewline
0.23 & 195.741226434915 & 4.38328954071426 \tabularnewline
0.24 & 196.712068395534 & 4.37374971034018 \tabularnewline
0.25 & 197.669813784892 & 4.42635968342368 \tabularnewline
0.26 & 198.626535735708 & 4.54210220649881 \tabularnewline
0.27 & 199.593405613893 & 4.71072573154145 \tabularnewline
0.28 & 200.579074355874 & 4.91307532808227 \tabularnewline
0.29 & 201.588379018321 & 5.12271179502492 \tabularnewline
0.3 & 202.621563475685 & 5.3116863782983 \tabularnewline
0.31 & 203.674137405994 & 5.45403581588018 \tabularnewline
0.32 & 204.737396849161 & 5.52904837469497 \tabularnewline
0.33 & 205.799520606377 & 5.52416561388172 \tabularnewline
0.34 & 206.847067666888 & 5.43597664054617 \tabularnewline
0.35 & 207.866651038738 & 5.27045454994389 \tabularnewline
0.36 & 208.846559224839 & 5.04189278524997 \tabularnewline
0.37 & 209.778132281018 & 4.76996651774571 \tabularnewline
0.38 & 210.656760896926 & 4.48053061007789 \tabularnewline
0.39 & 211.482447348535 & 4.19968117378496 \tabularnewline
0.4 & 212.259931338393 & 3.95539489939103 \tabularnewline
0.41 & 212.998431235815 & 3.77384602210742 \tabularnewline
0.42 & 213.711077442279 & 3.67735725139914 \tabularnewline
0.43 & 214.414120433646 & 3.68442547271529 \tabularnewline
0.44 & 215.125986702014 & 3.8053432857261 \tabularnewline
0.45 & 215.866239262663 & 4.04322061017363 \tabularnewline
0.46 & 216.654484284217 & 4.39346810674041 \tabularnewline
0.47 & 217.509259034664 & 4.84388167721426 \tabularnewline
0.48 & 218.446942540522 & 5.37669934558479 \tabularnewline
0.49 & 219.480747979547 & 5.96961648246321 \tabularnewline
0.5 & 220.619878411837 & 6.59566517542244 \tabularnewline
0.51 & 221.868944569847 & 7.22651982333664 \tabularnewline
0.52 & 223.227743653964 & 7.83279634486927 \tabularnewline
0.53 & 224.69147297203 & 8.38871620014725 \tabularnewline
0.54 & 226.251400067868 & 8.87315173111077 \tabularnewline
0.55 & 227.895938700379 & 9.27352941772797 \tabularnewline
0.56 & 229.612002719026 & 9.58615955062999 \tabularnewline
0.57 & 231.386447038131 & 9.81613661253141 \tabularnewline
0.58 & 233.207374835065 & 9.97746565831417 \tabularnewline
0.59 & 235.065103974731 & 10.0877663594324 \tabularnewline
0.6 & 236.952643557205 & 10.1668406445076 \tabularnewline
0.61 & 238.865621788117 & 10.2313676165564 \tabularnewline
0.62 & 240.801709103233 & 10.2921307944255 \tabularnewline
0.63 & 242.759673317142 & 10.3522835736279 \tabularnewline
0.64 & 244.738268321788 & 10.4073868482265 \tabularnewline
0.65 & 246.735184898512 & 10.4471971391701 \tabularnewline
0.66 & 248.746281180912 & 10.4573815863331 \tabularnewline
0.67 & 250.765267278659 & 10.4236535363513 \tabularnewline
0.68 & 252.783951374363 & 10.3346679459092 \tabularnewline
0.69 & 254.793069239805 & 10.183824789908 \tabularnewline
0.7 & 256.783619561539 & 9.97380117806819 \tabularnewline
0.71 & 258.748519346189 & 9.71555353146692 \tabularnewline
0.72 & 260.684289795162 & 9.43125490556482 \tabularnewline
0.73 & 262.592406863974 & 9.15073844375353 \tabularnewline
0.74 & 264.479933891489 & 8.90767755418045 \tabularnewline
0.75 & 266.359125850898 & 8.7343454272252 \tabularnewline
0.76 & 268.245868049169 & 8.65108252295529 \tabularnewline
0.77 & 270.157066426419 & 8.66088653051261 \tabularnewline
0.78 & 272.107384369791 & 8.74420992871892 \tabularnewline
0.79 & 274.105937482004 & 8.86224515363123 \tabularnewline
0.8 & 276.153628473595 & 8.96437168233143 \tabularnewline
0.81 & 278.241681213148 & 8.9990781248888 \tabularnewline
0.82 & 280.351635026199 & 8.92367463557207 \tabularnewline
0.83 & 282.456681431081 & 8.70910382398962 \tabularnewline
0.84 & 284.523907895285 & 8.3441170077938 \tabularnewline
0.85 & 286.516890390249 & 7.83145408703125 \tabularnewline
0.86 & 288.398206439322 & 7.18458883382214 \tabularnewline
0.87 & 290.131762399424 & 6.42380735446332 \tabularnewline
0.88 & 291.6851759024 & 5.57445530909782 \tabularnewline
0.89 & 293.032629451667 & 4.66814796399098 \tabularnewline
0.9 & 294.158496781817 & 3.74565515723482 \tabularnewline
0.91 & 295.061674796076 & 2.85763237587555 \tabularnewline
0.92 & 295.76006532699 & 2.06176299832729 \tabularnewline
0.93 & 296.294073675663 & 1.41772460381563 \tabularnewline
0.94 & 296.727073284839 & 0.987674377200404 \tabularnewline
0.95 & 297.139277757896 & 0.839696591857677 \tabularnewline
0.96 & 297.610166466395 & 0.956359104972928 \tabularnewline
0.97 & 298.186360083999 & 1.15101870572117 \tabularnewline
0.98 & 298.840483979283 & 1.19737348236857 \tabularnewline
0.99 & 299.444724784005 & 1.00446614150234 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203800&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]178.330330061818[/C][C]0.603043974105566[/C][/ROW]
[ROW][C]0.02[/C][C]178.734769629399[/C][C]0.871991905443045[/C][/ROW]
[ROW][C]0.03[/C][C]179.235240294368[/C][C]1.01164448409799[/C][/ROW]
[ROW][C]0.04[/C][C]179.753099578686[/C][C]1.04347302261719[/C][/ROW]
[ROW][C]0.05[/C][C]180.248234551451[/C][C]1.05369087592374[/C][/ROW]
[ROW][C]0.06[/C][C]180.714667045271[/C][C]1.09741739226557[/C][/ROW]
[ROW][C]0.07[/C][C]181.166839899807[/C][C]1.20257084559419[/C][/ROW]
[ROW][C]0.08[/C][C]181.628929743514[/C][C]1.39598268985349[/C][/ROW]
[ROW][C]0.09[/C][C]182.128988115761[/C][C]1.69907385685515[/C][/ROW]
[ROW][C]0.1[/C][C]182.695094143676[/C][C]2.11192028817945[/C][/ROW]
[ROW][C]0.11[/C][C]183.351253124081[/C][C]2.60629770716709[/C][/ROW]
[ROW][C]0.12[/C][C]184.113064657058[/C][C]3.13520946584724[/C][/ROW]
[ROW][C]0.13[/C][C]184.98455784453[/C][C]3.64459305567012[/C][/ROW]
[ROW][C]0.14[/C][C]185.957443318796[/C][C]4.08635996292917[/C][/ROW]
[ROW][C]0.15[/C][C]187.013029050602[/C][C]4.42691548144438[/C][/ROW]
[ROW][C]0.16[/C][C]188.126051916188[/C][C]4.65243260865001[/C][/ROW]
[ROW][C]0.17[/C][C]189.269191774377[/C][C]4.76660456142166[/C][/ROW]
[ROW][C]0.18[/C][C]190.417123612434[/C][C]4.7865580869279[/C][/ROW]
[ROW][C]0.19[/C][C]191.549409992815[/C][C]4.736973410502[/C][/ROW]
[ROW][C]0.2[/C][C]192.652049550084[/C][C]4.6454686922728[/C][/ROW]
[ROW][C]0.21[/C][C]193.717864372874[/C][C]4.53929549464657[/C][/ROW]
[ROW][C]0.22[/C][C]194.746055531897[/C][C]4.44437455439756[/C][/ROW]
[ROW][C]0.23[/C][C]195.741226434915[/C][C]4.38328954071426[/C][/ROW]
[ROW][C]0.24[/C][C]196.712068395534[/C][C]4.37374971034018[/C][/ROW]
[ROW][C]0.25[/C][C]197.669813784892[/C][C]4.42635968342368[/C][/ROW]
[ROW][C]0.26[/C][C]198.626535735708[/C][C]4.54210220649881[/C][/ROW]
[ROW][C]0.27[/C][C]199.593405613893[/C][C]4.71072573154145[/C][/ROW]
[ROW][C]0.28[/C][C]200.579074355874[/C][C]4.91307532808227[/C][/ROW]
[ROW][C]0.29[/C][C]201.588379018321[/C][C]5.12271179502492[/C][/ROW]
[ROW][C]0.3[/C][C]202.621563475685[/C][C]5.3116863782983[/C][/ROW]
[ROW][C]0.31[/C][C]203.674137405994[/C][C]5.45403581588018[/C][/ROW]
[ROW][C]0.32[/C][C]204.737396849161[/C][C]5.52904837469497[/C][/ROW]
[ROW][C]0.33[/C][C]205.799520606377[/C][C]5.52416561388172[/C][/ROW]
[ROW][C]0.34[/C][C]206.847067666888[/C][C]5.43597664054617[/C][/ROW]
[ROW][C]0.35[/C][C]207.866651038738[/C][C]5.27045454994389[/C][/ROW]
[ROW][C]0.36[/C][C]208.846559224839[/C][C]5.04189278524997[/C][/ROW]
[ROW][C]0.37[/C][C]209.778132281018[/C][C]4.76996651774571[/C][/ROW]
[ROW][C]0.38[/C][C]210.656760896926[/C][C]4.48053061007789[/C][/ROW]
[ROW][C]0.39[/C][C]211.482447348535[/C][C]4.19968117378496[/C][/ROW]
[ROW][C]0.4[/C][C]212.259931338393[/C][C]3.95539489939103[/C][/ROW]
[ROW][C]0.41[/C][C]212.998431235815[/C][C]3.77384602210742[/C][/ROW]
[ROW][C]0.42[/C][C]213.711077442279[/C][C]3.67735725139914[/C][/ROW]
[ROW][C]0.43[/C][C]214.414120433646[/C][C]3.68442547271529[/C][/ROW]
[ROW][C]0.44[/C][C]215.125986702014[/C][C]3.8053432857261[/C][/ROW]
[ROW][C]0.45[/C][C]215.866239262663[/C][C]4.04322061017363[/C][/ROW]
[ROW][C]0.46[/C][C]216.654484284217[/C][C]4.39346810674041[/C][/ROW]
[ROW][C]0.47[/C][C]217.509259034664[/C][C]4.84388167721426[/C][/ROW]
[ROW][C]0.48[/C][C]218.446942540522[/C][C]5.37669934558479[/C][/ROW]
[ROW][C]0.49[/C][C]219.480747979547[/C][C]5.96961648246321[/C][/ROW]
[ROW][C]0.5[/C][C]220.619878411837[/C][C]6.59566517542244[/C][/ROW]
[ROW][C]0.51[/C][C]221.868944569847[/C][C]7.22651982333664[/C][/ROW]
[ROW][C]0.52[/C][C]223.227743653964[/C][C]7.83279634486927[/C][/ROW]
[ROW][C]0.53[/C][C]224.69147297203[/C][C]8.38871620014725[/C][/ROW]
[ROW][C]0.54[/C][C]226.251400067868[/C][C]8.87315173111077[/C][/ROW]
[ROW][C]0.55[/C][C]227.895938700379[/C][C]9.27352941772797[/C][/ROW]
[ROW][C]0.56[/C][C]229.612002719026[/C][C]9.58615955062999[/C][/ROW]
[ROW][C]0.57[/C][C]231.386447038131[/C][C]9.81613661253141[/C][/ROW]
[ROW][C]0.58[/C][C]233.207374835065[/C][C]9.97746565831417[/C][/ROW]
[ROW][C]0.59[/C][C]235.065103974731[/C][C]10.0877663594324[/C][/ROW]
[ROW][C]0.6[/C][C]236.952643557205[/C][C]10.1668406445076[/C][/ROW]
[ROW][C]0.61[/C][C]238.865621788117[/C][C]10.2313676165564[/C][/ROW]
[ROW][C]0.62[/C][C]240.801709103233[/C][C]10.2921307944255[/C][/ROW]
[ROW][C]0.63[/C][C]242.759673317142[/C][C]10.3522835736279[/C][/ROW]
[ROW][C]0.64[/C][C]244.738268321788[/C][C]10.4073868482265[/C][/ROW]
[ROW][C]0.65[/C][C]246.735184898512[/C][C]10.4471971391701[/C][/ROW]
[ROW][C]0.66[/C][C]248.746281180912[/C][C]10.4573815863331[/C][/ROW]
[ROW][C]0.67[/C][C]250.765267278659[/C][C]10.4236535363513[/C][/ROW]
[ROW][C]0.68[/C][C]252.783951374363[/C][C]10.3346679459092[/C][/ROW]
[ROW][C]0.69[/C][C]254.793069239805[/C][C]10.183824789908[/C][/ROW]
[ROW][C]0.7[/C][C]256.783619561539[/C][C]9.97380117806819[/C][/ROW]
[ROW][C]0.71[/C][C]258.748519346189[/C][C]9.71555353146692[/C][/ROW]
[ROW][C]0.72[/C][C]260.684289795162[/C][C]9.43125490556482[/C][/ROW]
[ROW][C]0.73[/C][C]262.592406863974[/C][C]9.15073844375353[/C][/ROW]
[ROW][C]0.74[/C][C]264.479933891489[/C][C]8.90767755418045[/C][/ROW]
[ROW][C]0.75[/C][C]266.359125850898[/C][C]8.7343454272252[/C][/ROW]
[ROW][C]0.76[/C][C]268.245868049169[/C][C]8.65108252295529[/C][/ROW]
[ROW][C]0.77[/C][C]270.157066426419[/C][C]8.66088653051261[/C][/ROW]
[ROW][C]0.78[/C][C]272.107384369791[/C][C]8.74420992871892[/C][/ROW]
[ROW][C]0.79[/C][C]274.105937482004[/C][C]8.86224515363123[/C][/ROW]
[ROW][C]0.8[/C][C]276.153628473595[/C][C]8.96437168233143[/C][/ROW]
[ROW][C]0.81[/C][C]278.241681213148[/C][C]8.9990781248888[/C][/ROW]
[ROW][C]0.82[/C][C]280.351635026199[/C][C]8.92367463557207[/C][/ROW]
[ROW][C]0.83[/C][C]282.456681431081[/C][C]8.70910382398962[/C][/ROW]
[ROW][C]0.84[/C][C]284.523907895285[/C][C]8.3441170077938[/C][/ROW]
[ROW][C]0.85[/C][C]286.516890390249[/C][C]7.83145408703125[/C][/ROW]
[ROW][C]0.86[/C][C]288.398206439322[/C][C]7.18458883382214[/C][/ROW]
[ROW][C]0.87[/C][C]290.131762399424[/C][C]6.42380735446332[/C][/ROW]
[ROW][C]0.88[/C][C]291.6851759024[/C][C]5.57445530909782[/C][/ROW]
[ROW][C]0.89[/C][C]293.032629451667[/C][C]4.66814796399098[/C][/ROW]
[ROW][C]0.9[/C][C]294.158496781817[/C][C]3.74565515723482[/C][/ROW]
[ROW][C]0.91[/C][C]295.061674796076[/C][C]2.85763237587555[/C][/ROW]
[ROW][C]0.92[/C][C]295.76006532699[/C][C]2.06176299832729[/C][/ROW]
[ROW][C]0.93[/C][C]296.294073675663[/C][C]1.41772460381563[/C][/ROW]
[ROW][C]0.94[/C][C]296.727073284839[/C][C]0.987674377200404[/C][/ROW]
[ROW][C]0.95[/C][C]297.139277757896[/C][C]0.839696591857677[/C][/ROW]
[ROW][C]0.96[/C][C]297.610166466395[/C][C]0.956359104972928[/C][/ROW]
[ROW][C]0.97[/C][C]298.186360083999[/C][C]1.15101870572117[/C][/ROW]
[ROW][C]0.98[/C][C]298.840483979283[/C][C]1.19737348236857[/C][/ROW]
[ROW][C]0.99[/C][C]299.444724784005[/C][C]1.00446614150234[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203800&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203800&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:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.01178.3303300618180.603043974105566
0.02178.7347696293990.871991905443045
0.03179.2352402943681.01164448409799
0.04179.7530995786861.04347302261719
0.05180.2482345514511.05369087592374
0.06180.7146670452711.09741739226557
0.07181.1668398998071.20257084559419
0.08181.6289297435141.39598268985349
0.09182.1289881157611.69907385685515
0.1182.6950941436762.11192028817945
0.11183.3512531240812.60629770716709
0.12184.1130646570583.13520946584724
0.13184.984557844533.64459305567012
0.14185.9574433187964.08635996292917
0.15187.0130290506024.42691548144438
0.16188.1260519161884.65243260865001
0.17189.2691917743774.76660456142166
0.18190.4171236124344.7865580869279
0.19191.5494099928154.736973410502
0.2192.6520495500844.6454686922728
0.21193.7178643728744.53929549464657
0.22194.7460555318974.44437455439756
0.23195.7412264349154.38328954071426
0.24196.7120683955344.37374971034018
0.25197.6698137848924.42635968342368
0.26198.6265357357084.54210220649881
0.27199.5934056138934.71072573154145
0.28200.5790743558744.91307532808227
0.29201.5883790183215.12271179502492
0.3202.6215634756855.3116863782983
0.31203.6741374059945.45403581588018
0.32204.7373968491615.52904837469497
0.33205.7995206063775.52416561388172
0.34206.8470676668885.43597664054617
0.35207.8666510387385.27045454994389
0.36208.8465592248395.04189278524997
0.37209.7781322810184.76996651774571
0.38210.6567608969264.48053061007789
0.39211.4824473485354.19968117378496
0.4212.2599313383933.95539489939103
0.41212.9984312358153.77384602210742
0.42213.7110774422793.67735725139914
0.43214.4141204336463.68442547271529
0.44215.1259867020143.8053432857261
0.45215.8662392626634.04322061017363
0.46216.6544842842174.39346810674041
0.47217.5092590346644.84388167721426
0.48218.4469425405225.37669934558479
0.49219.4807479795475.96961648246321
0.5220.6198784118376.59566517542244
0.51221.8689445698477.22651982333664
0.52223.2277436539647.83279634486927
0.53224.691472972038.38871620014725
0.54226.2514000678688.87315173111077
0.55227.8959387003799.27352941772797
0.56229.6120027190269.58615955062999
0.57231.3864470381319.81613661253141
0.58233.2073748350659.97746565831417
0.59235.06510397473110.0877663594324
0.6236.95264355720510.1668406445076
0.61238.86562178811710.2313676165564
0.62240.80170910323310.2921307944255
0.63242.75967331714210.3522835736279
0.64244.73826832178810.4073868482265
0.65246.73518489851210.4471971391701
0.66248.74628118091210.4573815863331
0.67250.76526727865910.4236535363513
0.68252.78395137436310.3346679459092
0.69254.79306923980510.183824789908
0.7256.7836195615399.97380117806819
0.71258.7485193461899.71555353146692
0.72260.6842897951629.43125490556482
0.73262.5924068639749.15073844375353
0.74264.4799338914898.90767755418045
0.75266.3591258508988.7343454272252
0.76268.2458680491698.65108252295529
0.77270.1570664264198.66088653051261
0.78272.1073843697918.74420992871892
0.79274.1059374820048.86224515363123
0.8276.1536284735958.96437168233143
0.81278.2416812131488.9990781248888
0.82280.3516350261998.92367463557207
0.83282.4566814310818.70910382398962
0.84284.5239078952858.3441170077938
0.85286.5168903902497.83145408703125
0.86288.3982064393227.18458883382214
0.87290.1317623994246.42380735446332
0.88291.68517590245.57445530909782
0.89293.0326294516674.66814796399098
0.9294.1584967818173.74565515723482
0.91295.0616747960762.85763237587555
0.92295.760065326992.06176299832729
0.93296.2940736756631.41772460381563
0.94296.7270732848390.987674377200404
0.95297.1392777578960.839696591857677
0.96297.6101664663950.956359104972928
0.97298.1863600839991.15101870572117
0.98298.8404839792831.19737348236857
0.99299.4447247840051.00446614150234


Figures (Output of Computation)

Input Parameters & R Code

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):
par3 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')