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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 computationTue, 07 Mar 2017 13:02:05 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Mar/07/t1488892103rxp4hcjaajoh8x4.htm/, Retrieved Tue, 14 May 2024 05:16:09 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 14 May 2024 05:16:09 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
89.78
90.31
90.69
90.71
90.77
90.98
91.02
91.16
91.45
92.86
93.48
94.07
94.09
94.19
94.3
94.34
94.4
94.47
94.54
95.1
95.36
95.54
95.87
95.96
96
96.11
96.22
96.42
97.45
97.95
98.06
98.09
98.14
98.17
98.26
98.32
98.35
98.39
98.41
98.43
98.46
98.48
98.64
98.67
98.69
98.7
98.72
98.72
98.75
98.8
98.82
98.83
98.84
98.85
98.89
98.89
99.05
99.13
99.18
99.22
99.25
99.33
99.39
99.4
99.61
100.28
100.31
100.45
100.55
100.68
100.78
101.69

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=&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=&T=0

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






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0189.94354276343220.46500500149708
0.0290.17652962899590.384627055230327
0.0390.39562026261460.309263471453564
0.0490.57097207439460.261493535856723
0.0590.71168950124340.264216343153413
0.0690.83994535413180.326012869934698
0.0790.97720746684680.438222029028911
0.0891.13969378877940.587369729271195
0.0991.33728329494740.755955322125164
0.191.57324892943410.922041538431756
0.1191.84439173226971.06215285702302
0.1292.14188927496671.15662414832088
0.1392.45304683269261.19382389778623
0.1492.76371530035221.17311244114165
0.1593.0608144052361.1036183080688
0.1693.33435577621591.00119041963817
0.1793.57856800857890.8843451133526
0.1893.79203846434750.770632533035934
0.1993.97705553687450.674159948267157
0.294.13847856545750.604172564373912
0.2194.28247494043930.564284160070262
0.2294.41538802602930.552688882002874
0.2394.54289022899720.563676844176512
0.2494.66947453445230.589161458775288
0.2594.79826503519590.622270636562426
0.2694.93108447898760.657243672802235
0.2795.06869773608170.690340161135031
0.2895.21114618315420.719983250976529
0.2995.3580938415220.74605591582361
0.395.50911927509290.769893707169489
0.3195.66390674656460.79333957823449
0.3295.82231450571180.81794379699905
0.3395.98432443996970.844427676651949
0.3496.14990143497270.871927624782415
0.3596.31880814618830.898314855448703
0.3696.49042798201810.920401654245988
0.3796.66364460284370.934368581156797
0.3896.83681145855380.93668681122068
0.3997.00782351221020.924923668076651
0.497.17428046411320.897568226705632
0.4197.33371174078180.855143693261174
0.4297.48382226634870.799456982356839
0.4397.62271644030630.73334518626832
0.4497.74906518471920.660667712562356
0.4597.86219469384870.58563950889968
0.4697.96209175542720.511917428231457
0.4798.04933532274170.442936479497838
0.4898.12497447335820.380975427535009
0.4998.19037761713490.327574213625145
0.598.24707705037320.283340693679013
0.5198.29662815499730.248057129867247
0.5298.3404957462430.220982345133448
0.5398.37997322206740.200796164467926
0.5498.41613462970990.186086039086685
0.5598.44981613507850.175510205240165
0.5698.48162156485050.167574528615046
0.5798.51194617334050.160955498483694
0.5898.54101294972760.154866924289163
0.5998.5689161646680.14875294010078
0.698.59566727063080.142156861029339
0.6198.62123877380470.135120488200986
0.6298.64560245463590.127676799690494
0.6398.66875944362620.120258172125184
0.6498.6907610999580.113110342418987
0.6598.71172113233720.106606765800027
0.6698.73182055778750.101309300681373
0.6798.75130755259920.097340957553807
0.6898.77049383827080.0950640981761145
0.6998.78974809991320.0948015083733005
0.798.8094855144950.0966613251411112
0.7198.83015144694940.10091539792517
0.7298.8521974338320.10748217608093
0.7398.876049145280.115946281291105
0.7498.9020690552570.126005896937285
0.7598.93052045510610.136785161514257
0.7698.96154314169560.147617917440845
0.7798.99515330861510.157540727572521
0.7899.03127968786550.166061720309877
0.7999.06984400611340.173012272888244
0.899.11088590832170.178828450511861
0.8199.15472053718580.184808110598922
0.8299.20210120200270.193044529916864
0.8399.25434144273960.206289317696053
0.8499.31333453203370.227275215255831
0.8599.38140293636210.257785432671388
0.8699.46092880099330.297284835020991
0.8799.5537717948460.342379814402348
0.8899.66057347811660.386683665372144
0.8999.78015373014770.42183019901304
0.999.90927266757250.439442009982784
0.91100.0430026815320.433884481046738
0.92100.1758190605770.404618049645982
0.93100.3033750250980.357387868894238
0.94100.4249803759830.303343755855418
0.95100.547071308990.258246681582916
0.96100.6874607426020.245939244570114
0.97100.8761074566390.305678443311652
0.98101.1389915043090.468030122587499
0.99101.4508502357630.703755107842424

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 89.9435427634322 & 0.46500500149708 \tabularnewline
0.02 & 90.1765296289959 & 0.384627055230327 \tabularnewline
0.03 & 90.3956202626146 & 0.309263471453564 \tabularnewline
0.04 & 90.5709720743946 & 0.261493535856723 \tabularnewline
0.05 & 90.7116895012434 & 0.264216343153413 \tabularnewline
0.06 & 90.8399453541318 & 0.326012869934698 \tabularnewline
0.07 & 90.9772074668468 & 0.438222029028911 \tabularnewline
0.08 & 91.1396937887794 & 0.587369729271195 \tabularnewline
0.09 & 91.3372832949474 & 0.755955322125164 \tabularnewline
0.1 & 91.5732489294341 & 0.922041538431756 \tabularnewline
0.11 & 91.8443917322697 & 1.06215285702302 \tabularnewline
0.12 & 92.1418892749667 & 1.15662414832088 \tabularnewline
0.13 & 92.4530468326926 & 1.19382389778623 \tabularnewline
0.14 & 92.7637153003522 & 1.17311244114165 \tabularnewline
0.15 & 93.060814405236 & 1.1036183080688 \tabularnewline
0.16 & 93.3343557762159 & 1.00119041963817 \tabularnewline
0.17 & 93.5785680085789 & 0.8843451133526 \tabularnewline
0.18 & 93.7920384643475 & 0.770632533035934 \tabularnewline
0.19 & 93.9770555368745 & 0.674159948267157 \tabularnewline
0.2 & 94.1384785654575 & 0.604172564373912 \tabularnewline
0.21 & 94.2824749404393 & 0.564284160070262 \tabularnewline
0.22 & 94.4153880260293 & 0.552688882002874 \tabularnewline
0.23 & 94.5428902289972 & 0.563676844176512 \tabularnewline
0.24 & 94.6694745344523 & 0.589161458775288 \tabularnewline
0.25 & 94.7982650351959 & 0.622270636562426 \tabularnewline
0.26 & 94.9310844789876 & 0.657243672802235 \tabularnewline
0.27 & 95.0686977360817 & 0.690340161135031 \tabularnewline
0.28 & 95.2111461831542 & 0.719983250976529 \tabularnewline
0.29 & 95.358093841522 & 0.74605591582361 \tabularnewline
0.3 & 95.5091192750929 & 0.769893707169489 \tabularnewline
0.31 & 95.6639067465646 & 0.79333957823449 \tabularnewline
0.32 & 95.8223145057118 & 0.81794379699905 \tabularnewline
0.33 & 95.9843244399697 & 0.844427676651949 \tabularnewline
0.34 & 96.1499014349727 & 0.871927624782415 \tabularnewline
0.35 & 96.3188081461883 & 0.898314855448703 \tabularnewline
0.36 & 96.4904279820181 & 0.920401654245988 \tabularnewline
0.37 & 96.6636446028437 & 0.934368581156797 \tabularnewline
0.38 & 96.8368114585538 & 0.93668681122068 \tabularnewline
0.39 & 97.0078235122102 & 0.924923668076651 \tabularnewline
0.4 & 97.1742804641132 & 0.897568226705632 \tabularnewline
0.41 & 97.3337117407818 & 0.855143693261174 \tabularnewline
0.42 & 97.4838222663487 & 0.799456982356839 \tabularnewline
0.43 & 97.6227164403063 & 0.73334518626832 \tabularnewline
0.44 & 97.7490651847192 & 0.660667712562356 \tabularnewline
0.45 & 97.8621946938487 & 0.58563950889968 \tabularnewline
0.46 & 97.9620917554272 & 0.511917428231457 \tabularnewline
0.47 & 98.0493353227417 & 0.442936479497838 \tabularnewline
0.48 & 98.1249744733582 & 0.380975427535009 \tabularnewline
0.49 & 98.1903776171349 & 0.327574213625145 \tabularnewline
0.5 & 98.2470770503732 & 0.283340693679013 \tabularnewline
0.51 & 98.2966281549973 & 0.248057129867247 \tabularnewline
0.52 & 98.340495746243 & 0.220982345133448 \tabularnewline
0.53 & 98.3799732220674 & 0.200796164467926 \tabularnewline
0.54 & 98.4161346297099 & 0.186086039086685 \tabularnewline
0.55 & 98.4498161350785 & 0.175510205240165 \tabularnewline
0.56 & 98.4816215648505 & 0.167574528615046 \tabularnewline
0.57 & 98.5119461733405 & 0.160955498483694 \tabularnewline
0.58 & 98.5410129497276 & 0.154866924289163 \tabularnewline
0.59 & 98.568916164668 & 0.14875294010078 \tabularnewline
0.6 & 98.5956672706308 & 0.142156861029339 \tabularnewline
0.61 & 98.6212387738047 & 0.135120488200986 \tabularnewline
0.62 & 98.6456024546359 & 0.127676799690494 \tabularnewline
0.63 & 98.6687594436262 & 0.120258172125184 \tabularnewline
0.64 & 98.690761099958 & 0.113110342418987 \tabularnewline
0.65 & 98.7117211323372 & 0.106606765800027 \tabularnewline
0.66 & 98.7318205577875 & 0.101309300681373 \tabularnewline
0.67 & 98.7513075525992 & 0.097340957553807 \tabularnewline
0.68 & 98.7704938382708 & 0.0950640981761145 \tabularnewline
0.69 & 98.7897480999132 & 0.0948015083733005 \tabularnewline
0.7 & 98.809485514495 & 0.0966613251411112 \tabularnewline
0.71 & 98.8301514469494 & 0.10091539792517 \tabularnewline
0.72 & 98.852197433832 & 0.10748217608093 \tabularnewline
0.73 & 98.87604914528 & 0.115946281291105 \tabularnewline
0.74 & 98.902069055257 & 0.126005896937285 \tabularnewline
0.75 & 98.9305204551061 & 0.136785161514257 \tabularnewline
0.76 & 98.9615431416956 & 0.147617917440845 \tabularnewline
0.77 & 98.9951533086151 & 0.157540727572521 \tabularnewline
0.78 & 99.0312796878655 & 0.166061720309877 \tabularnewline
0.79 & 99.0698440061134 & 0.173012272888244 \tabularnewline
0.8 & 99.1108859083217 & 0.178828450511861 \tabularnewline
0.81 & 99.1547205371858 & 0.184808110598922 \tabularnewline
0.82 & 99.2021012020027 & 0.193044529916864 \tabularnewline
0.83 & 99.2543414427396 & 0.206289317696053 \tabularnewline
0.84 & 99.3133345320337 & 0.227275215255831 \tabularnewline
0.85 & 99.3814029363621 & 0.257785432671388 \tabularnewline
0.86 & 99.4609288009933 & 0.297284835020991 \tabularnewline
0.87 & 99.553771794846 & 0.342379814402348 \tabularnewline
0.88 & 99.6605734781166 & 0.386683665372144 \tabularnewline
0.89 & 99.7801537301477 & 0.42183019901304 \tabularnewline
0.9 & 99.9092726675725 & 0.439442009982784 \tabularnewline
0.91 & 100.043002681532 & 0.433884481046738 \tabularnewline
0.92 & 100.175819060577 & 0.404618049645982 \tabularnewline
0.93 & 100.303375025098 & 0.357387868894238 \tabularnewline
0.94 & 100.424980375983 & 0.303343755855418 \tabularnewline
0.95 & 100.54707130899 & 0.258246681582916 \tabularnewline
0.96 & 100.687460742602 & 0.245939244570114 \tabularnewline
0.97 & 100.876107456639 & 0.305678443311652 \tabularnewline
0.98 & 101.138991504309 & 0.468030122587499 \tabularnewline
0.99 & 101.450850235763 & 0.703755107842424 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]89.9435427634322[/C][C]0.46500500149708[/C][/ROW]
[ROW][C]0.02[/C][C]90.1765296289959[/C][C]0.384627055230327[/C][/ROW]
[ROW][C]0.03[/C][C]90.3956202626146[/C][C]0.309263471453564[/C][/ROW]
[ROW][C]0.04[/C][C]90.5709720743946[/C][C]0.261493535856723[/C][/ROW]
[ROW][C]0.05[/C][C]90.7116895012434[/C][C]0.264216343153413[/C][/ROW]
[ROW][C]0.06[/C][C]90.8399453541318[/C][C]0.326012869934698[/C][/ROW]
[ROW][C]0.07[/C][C]90.9772074668468[/C][C]0.438222029028911[/C][/ROW]
[ROW][C]0.08[/C][C]91.1396937887794[/C][C]0.587369729271195[/C][/ROW]
[ROW][C]0.09[/C][C]91.3372832949474[/C][C]0.755955322125164[/C][/ROW]
[ROW][C]0.1[/C][C]91.5732489294341[/C][C]0.922041538431756[/C][/ROW]
[ROW][C]0.11[/C][C]91.8443917322697[/C][C]1.06215285702302[/C][/ROW]
[ROW][C]0.12[/C][C]92.1418892749667[/C][C]1.15662414832088[/C][/ROW]
[ROW][C]0.13[/C][C]92.4530468326926[/C][C]1.19382389778623[/C][/ROW]
[ROW][C]0.14[/C][C]92.7637153003522[/C][C]1.17311244114165[/C][/ROW]
[ROW][C]0.15[/C][C]93.060814405236[/C][C]1.1036183080688[/C][/ROW]
[ROW][C]0.16[/C][C]93.3343557762159[/C][C]1.00119041963817[/C][/ROW]
[ROW][C]0.17[/C][C]93.5785680085789[/C][C]0.8843451133526[/C][/ROW]
[ROW][C]0.18[/C][C]93.7920384643475[/C][C]0.770632533035934[/C][/ROW]
[ROW][C]0.19[/C][C]93.9770555368745[/C][C]0.674159948267157[/C][/ROW]
[ROW][C]0.2[/C][C]94.1384785654575[/C][C]0.604172564373912[/C][/ROW]
[ROW][C]0.21[/C][C]94.2824749404393[/C][C]0.564284160070262[/C][/ROW]
[ROW][C]0.22[/C][C]94.4153880260293[/C][C]0.552688882002874[/C][/ROW]
[ROW][C]0.23[/C][C]94.5428902289972[/C][C]0.563676844176512[/C][/ROW]
[ROW][C]0.24[/C][C]94.6694745344523[/C][C]0.589161458775288[/C][/ROW]
[ROW][C]0.25[/C][C]94.7982650351959[/C][C]0.622270636562426[/C][/ROW]
[ROW][C]0.26[/C][C]94.9310844789876[/C][C]0.657243672802235[/C][/ROW]
[ROW][C]0.27[/C][C]95.0686977360817[/C][C]0.690340161135031[/C][/ROW]
[ROW][C]0.28[/C][C]95.2111461831542[/C][C]0.719983250976529[/C][/ROW]
[ROW][C]0.29[/C][C]95.358093841522[/C][C]0.74605591582361[/C][/ROW]
[ROW][C]0.3[/C][C]95.5091192750929[/C][C]0.769893707169489[/C][/ROW]
[ROW][C]0.31[/C][C]95.6639067465646[/C][C]0.79333957823449[/C][/ROW]
[ROW][C]0.32[/C][C]95.8223145057118[/C][C]0.81794379699905[/C][/ROW]
[ROW][C]0.33[/C][C]95.9843244399697[/C][C]0.844427676651949[/C][/ROW]
[ROW][C]0.34[/C][C]96.1499014349727[/C][C]0.871927624782415[/C][/ROW]
[ROW][C]0.35[/C][C]96.3188081461883[/C][C]0.898314855448703[/C][/ROW]
[ROW][C]0.36[/C][C]96.4904279820181[/C][C]0.920401654245988[/C][/ROW]
[ROW][C]0.37[/C][C]96.6636446028437[/C][C]0.934368581156797[/C][/ROW]
[ROW][C]0.38[/C][C]96.8368114585538[/C][C]0.93668681122068[/C][/ROW]
[ROW][C]0.39[/C][C]97.0078235122102[/C][C]0.924923668076651[/C][/ROW]
[ROW][C]0.4[/C][C]97.1742804641132[/C][C]0.897568226705632[/C][/ROW]
[ROW][C]0.41[/C][C]97.3337117407818[/C][C]0.855143693261174[/C][/ROW]
[ROW][C]0.42[/C][C]97.4838222663487[/C][C]0.799456982356839[/C][/ROW]
[ROW][C]0.43[/C][C]97.6227164403063[/C][C]0.73334518626832[/C][/ROW]
[ROW][C]0.44[/C][C]97.7490651847192[/C][C]0.660667712562356[/C][/ROW]
[ROW][C]0.45[/C][C]97.8621946938487[/C][C]0.58563950889968[/C][/ROW]
[ROW][C]0.46[/C][C]97.9620917554272[/C][C]0.511917428231457[/C][/ROW]
[ROW][C]0.47[/C][C]98.0493353227417[/C][C]0.442936479497838[/C][/ROW]
[ROW][C]0.48[/C][C]98.1249744733582[/C][C]0.380975427535009[/C][/ROW]
[ROW][C]0.49[/C][C]98.1903776171349[/C][C]0.327574213625145[/C][/ROW]
[ROW][C]0.5[/C][C]98.2470770503732[/C][C]0.283340693679013[/C][/ROW]
[ROW][C]0.51[/C][C]98.2966281549973[/C][C]0.248057129867247[/C][/ROW]
[ROW][C]0.52[/C][C]98.340495746243[/C][C]0.220982345133448[/C][/ROW]
[ROW][C]0.53[/C][C]98.3799732220674[/C][C]0.200796164467926[/C][/ROW]
[ROW][C]0.54[/C][C]98.4161346297099[/C][C]0.186086039086685[/C][/ROW]
[ROW][C]0.55[/C][C]98.4498161350785[/C][C]0.175510205240165[/C][/ROW]
[ROW][C]0.56[/C][C]98.4816215648505[/C][C]0.167574528615046[/C][/ROW]
[ROW][C]0.57[/C][C]98.5119461733405[/C][C]0.160955498483694[/C][/ROW]
[ROW][C]0.58[/C][C]98.5410129497276[/C][C]0.154866924289163[/C][/ROW]
[ROW][C]0.59[/C][C]98.568916164668[/C][C]0.14875294010078[/C][/ROW]
[ROW][C]0.6[/C][C]98.5956672706308[/C][C]0.142156861029339[/C][/ROW]
[ROW][C]0.61[/C][C]98.6212387738047[/C][C]0.135120488200986[/C][/ROW]
[ROW][C]0.62[/C][C]98.6456024546359[/C][C]0.127676799690494[/C][/ROW]
[ROW][C]0.63[/C][C]98.6687594436262[/C][C]0.120258172125184[/C][/ROW]
[ROW][C]0.64[/C][C]98.690761099958[/C][C]0.113110342418987[/C][/ROW]
[ROW][C]0.65[/C][C]98.7117211323372[/C][C]0.106606765800027[/C][/ROW]
[ROW][C]0.66[/C][C]98.7318205577875[/C][C]0.101309300681373[/C][/ROW]
[ROW][C]0.67[/C][C]98.7513075525992[/C][C]0.097340957553807[/C][/ROW]
[ROW][C]0.68[/C][C]98.7704938382708[/C][C]0.0950640981761145[/C][/ROW]
[ROW][C]0.69[/C][C]98.7897480999132[/C][C]0.0948015083733005[/C][/ROW]
[ROW][C]0.7[/C][C]98.809485514495[/C][C]0.0966613251411112[/C][/ROW]
[ROW][C]0.71[/C][C]98.8301514469494[/C][C]0.10091539792517[/C][/ROW]
[ROW][C]0.72[/C][C]98.852197433832[/C][C]0.10748217608093[/C][/ROW]
[ROW][C]0.73[/C][C]98.87604914528[/C][C]0.115946281291105[/C][/ROW]
[ROW][C]0.74[/C][C]98.902069055257[/C][C]0.126005896937285[/C][/ROW]
[ROW][C]0.75[/C][C]98.9305204551061[/C][C]0.136785161514257[/C][/ROW]
[ROW][C]0.76[/C][C]98.9615431416956[/C][C]0.147617917440845[/C][/ROW]
[ROW][C]0.77[/C][C]98.9951533086151[/C][C]0.157540727572521[/C][/ROW]
[ROW][C]0.78[/C][C]99.0312796878655[/C][C]0.166061720309877[/C][/ROW]
[ROW][C]0.79[/C][C]99.0698440061134[/C][C]0.173012272888244[/C][/ROW]
[ROW][C]0.8[/C][C]99.1108859083217[/C][C]0.178828450511861[/C][/ROW]
[ROW][C]0.81[/C][C]99.1547205371858[/C][C]0.184808110598922[/C][/ROW]
[ROW][C]0.82[/C][C]99.2021012020027[/C][C]0.193044529916864[/C][/ROW]
[ROW][C]0.83[/C][C]99.2543414427396[/C][C]0.206289317696053[/C][/ROW]
[ROW][C]0.84[/C][C]99.3133345320337[/C][C]0.227275215255831[/C][/ROW]
[ROW][C]0.85[/C][C]99.3814029363621[/C][C]0.257785432671388[/C][/ROW]
[ROW][C]0.86[/C][C]99.4609288009933[/C][C]0.297284835020991[/C][/ROW]
[ROW][C]0.87[/C][C]99.553771794846[/C][C]0.342379814402348[/C][/ROW]
[ROW][C]0.88[/C][C]99.6605734781166[/C][C]0.386683665372144[/C][/ROW]
[ROW][C]0.89[/C][C]99.7801537301477[/C][C]0.42183019901304[/C][/ROW]
[ROW][C]0.9[/C][C]99.9092726675725[/C][C]0.439442009982784[/C][/ROW]
[ROW][C]0.91[/C][C]100.043002681532[/C][C]0.433884481046738[/C][/ROW]
[ROW][C]0.92[/C][C]100.175819060577[/C][C]0.404618049645982[/C][/ROW]
[ROW][C]0.93[/C][C]100.303375025098[/C][C]0.357387868894238[/C][/ROW]
[ROW][C]0.94[/C][C]100.424980375983[/C][C]0.303343755855418[/C][/ROW]
[ROW][C]0.95[/C][C]100.54707130899[/C][C]0.258246681582916[/C][/ROW]
[ROW][C]0.96[/C][C]100.687460742602[/C][C]0.245939244570114[/C][/ROW]
[ROW][C]0.97[/C][C]100.876107456639[/C][C]0.305678443311652[/C][/ROW]
[ROW][C]0.98[/C][C]101.138991504309[/C][C]0.468030122587499[/C][/ROW]
[ROW][C]0.99[/C][C]101.450850235763[/C][C]0.703755107842424[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0189.94354276343220.46500500149708
0.0290.17652962899590.384627055230327
0.0390.39562026261460.309263471453564
0.0490.57097207439460.261493535856723
0.0590.71168950124340.264216343153413
0.0690.83994535413180.326012869934698
0.0790.97720746684680.438222029028911
0.0891.13969378877940.587369729271195
0.0991.33728329494740.755955322125164
0.191.57324892943410.922041538431756
0.1191.84439173226971.06215285702302
0.1292.14188927496671.15662414832088
0.1392.45304683269261.19382389778623
0.1492.76371530035221.17311244114165
0.1593.0608144052361.1036183080688
0.1693.33435577621591.00119041963817
0.1793.57856800857890.8843451133526
0.1893.79203846434750.770632533035934
0.1993.97705553687450.674159948267157
0.294.13847856545750.604172564373912
0.2194.28247494043930.564284160070262
0.2294.41538802602930.552688882002874
0.2394.54289022899720.563676844176512
0.2494.66947453445230.589161458775288
0.2594.79826503519590.622270636562426
0.2694.93108447898760.657243672802235
0.2795.06869773608170.690340161135031
0.2895.21114618315420.719983250976529
0.2995.3580938415220.74605591582361
0.395.50911927509290.769893707169489
0.3195.66390674656460.79333957823449
0.3295.82231450571180.81794379699905
0.3395.98432443996970.844427676651949
0.3496.14990143497270.871927624782415
0.3596.31880814618830.898314855448703
0.3696.49042798201810.920401654245988
0.3796.66364460284370.934368581156797
0.3896.83681145855380.93668681122068
0.3997.00782351221020.924923668076651
0.497.17428046411320.897568226705632
0.4197.33371174078180.855143693261174
0.4297.48382226634870.799456982356839
0.4397.62271644030630.73334518626832
0.4497.74906518471920.660667712562356
0.4597.86219469384870.58563950889968
0.4697.96209175542720.511917428231457
0.4798.04933532274170.442936479497838
0.4898.12497447335820.380975427535009
0.4998.19037761713490.327574213625145
0.598.24707705037320.283340693679013
0.5198.29662815499730.248057129867247
0.5298.3404957462430.220982345133448
0.5398.37997322206740.200796164467926
0.5498.41613462970990.186086039086685
0.5598.44981613507850.175510205240165
0.5698.48162156485050.167574528615046
0.5798.51194617334050.160955498483694
0.5898.54101294972760.154866924289163
0.5998.5689161646680.14875294010078
0.698.59566727063080.142156861029339
0.6198.62123877380470.135120488200986
0.6298.64560245463590.127676799690494
0.6398.66875944362620.120258172125184
0.6498.6907610999580.113110342418987
0.6598.71172113233720.106606765800027
0.6698.73182055778750.101309300681373
0.6798.75130755259920.097340957553807
0.6898.77049383827080.0950640981761145
0.6998.78974809991320.0948015083733005
0.798.8094855144950.0966613251411112
0.7198.83015144694940.10091539792517
0.7298.8521974338320.10748217608093
0.7398.876049145280.115946281291105
0.7498.9020690552570.126005896937285
0.7598.93052045510610.136785161514257
0.7698.96154314169560.147617917440845
0.7798.99515330861510.157540727572521
0.7899.03127968786550.166061720309877
0.7999.06984400611340.173012272888244
0.899.11088590832170.178828450511861
0.8199.15472053718580.184808110598922
0.8299.20210120200270.193044529916864
0.8399.25434144273960.206289317696053
0.8499.31333453203370.227275215255831
0.8599.38140293636210.257785432671388
0.8699.46092880099330.297284835020991
0.8799.5537717948460.342379814402348
0.8899.66057347811660.386683665372144
0.8999.78015373014770.42183019901304
0.999.90927266757250.439442009982784
0.91100.0430026815320.433884481046738
0.92100.1758190605770.404618049645982
0.93100.3033750250980.357387868894238
0.94100.4249803759830.303343755855418
0.95100.547071308990.258246681582916
0.96100.6874607426020.245939244570114
0.97100.8761074566390.305678443311652
0.98101.1389915043090.468030122587499
0.99101.4508502357630.703755107842424


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')