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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 computationThu, 19 Nov 2015 10:31:34 +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/2015/Nov/19/t14479291241lp3q9xihb3oydd.htm/, Retrieved Tue, 14 May 2024 12:30:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=283588, Retrieved Tue, 14 May 2024 12:30:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact119

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2015-11-19 10:31:34] [e897088c3d9e15a1e92009c0481cb133] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
97,41
97,32
97,33
97,38
97,47
97,5
97,5
97,58
97,7
97,9
97,98
98,03
98,03
97,94
98,12
98,19
98,34
98,42
98,43
98,45
98,77
99,24
99,46
99,54
99,55
99,24
99,43
99,47
99,57
99,62
99,64
99,75
99,85
100,28
100,52
100,57
100,57
100,27
100,27
100,18
100,16
100,18
100,18
100,59
100,69
101,06
101,15
101,16
101,16
100,81
100,94
101,13
101,29
101,34
101,35
101,7
102,05
102,48
102,66
102,72
102,73
102,18
102,22
102,37
102,53
102,61
102,62
103
103,17
103,52
103,69
103,73
99,57
99,09
99,14
99,36
99,6
99,65
99,8
100,15
100,45
100,89
101,13
101,17
101,21
101,1
101,17
101,11
101,2
101,15
100,92
101,1
101,22
101,25
101,39
101,43

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283588&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283588&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283588&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0197.33237233918410.0273731216658272
0.0297.35864304201520.0484717252066725
0.0397.39396504342810.0642824045355354
0.0497.43460417579710.0805184053663189
0.0597.48020300031030.10334255154859
0.0697.53242720428430.133415504523125
0.0797.59267667634450.165314633225491
0.0897.66052537368570.191564113223121
0.0997.73358236123180.207269280937605
0.197.80857193422550.212649374295349
0.1197.88279713246090.212444835751105
0.1297.95513537903210.213442359502966
0.1398.02620053934510.220910527038457
0.1498.09783294407950.23741458615066
0.1598.17232146054410.262293427047381
0.1698.25170459430760.292974938808828
0.1798.33730860548230.326418985761257
0.1898.42952297164440.35915759290738
0.1998.52775254549180.387145195525218
0.298.63049798905570.407311349358557
0.2198.73554522197560.416647924021776
0.2298.84025115158970.414142338098956
0.2398.94189260274650.399879563768244
0.2499.03801890478770.375895852591153
0.2599.12673948390590.344628634724478
0.2699.20689519585520.309834001599871
0.2799.27809767466290.274703020248884
0.2899.34065722581110.241794427516736
0.2999.39544179865020.213368886125204
0.399.44371202976830.190688230164991
0.3199.48696473109260.174566224794166
0.3299.52679899130510.165682245948555
0.3399.56480415427670.163943341534016
0.3499.60246214194120.168708298391111
0.3599.64105804697420.178939069937831
0.3699.6815995243180.193045952348942
0.3799.72475293851830.209065273173258
0.3899.77080866953040.225132499604456
0.3999.8196872277440.239494505052005
0.499.87099169857530.250688676059324
0.4199.92410227840710.258113976605831
0.4299.97829836006360.261435839069491
0.43100.0328861935860.261348057357759
0.44100.0873081762010.258835044259265
0.45100.1412141393970.255147669685096
0.46100.1944843287420.2517183096133
0.47100.2472051929450.249422609933273
0.48100.2996091293730.248984815481446
0.49100.3519952105240.250061133701237
0.5100.4046485442880.252380754498367
0.51100.4577721000620.255603096939235
0.52100.5114387173520.258512496167401
0.53100.5655650927130.260732423688704
0.54100.6199056229230.261268700788423
0.55100.6740626146140.259280189600149
0.56100.7275098881540.254625885239725
0.57100.7796278896910.246632529860152
0.58100.8297488572490.235408270533776
0.59100.8772098038270.220823986207101
0.6100.921409351340.203724545758817
0.61100.9618626334310.184353243592985
0.62100.9982475620750.163809125406918
0.63101.0304363633140.143000368232687
0.64101.0585084779590.123044828725029
0.65101.0827441674890.104794319985178
0.66101.1036016121140.0888824915761101
0.67101.1216831049710.0760778706455698
0.68101.1376976143830.0668321349455675
0.69101.1524274194440.0613232797788096
0.7101.1667059628450.0597548064932169
0.71101.1814127649970.0621434439625127
0.72101.1974890979860.0684369900204977
0.73101.2159744339370.0792009092820686
0.74101.2380573976570.0944939052797226
0.75101.2651254849450.115334754692941
0.76101.2987864176570.142283072959581
0.77101.3408250196330.175984150451522
0.78101.3930601769260.216159777408982
0.79101.4570843434570.261166990555705
0.8101.5339058083350.308007384123235
0.81101.623563749160.351917394582204
0.82101.7248281855350.38771403187529
0.83101.8351061002250.41037905974855
0.84101.9506348010020.416223387037355
0.85102.0669611878460.404276016364029
0.86102.1796152547110.376353131817264
0.87102.2848342520320.336629194066217
0.88102.3802101377280.290711308117858
0.89102.4652052962610.245218001651199
0.9102.5415538870280.206668349259037
0.91102.6135646612070.182155830557447
0.92102.6882202361040.178606840050852
0.93102.7747541412990.199568035200437
0.94102.8831822116210.240859290442646
0.95103.0212038445330.28974891611942
0.96103.1892009283850.325039645996622
0.97103.3743926470620.31891537638844
0.98103.5483122631660.248428586242429
0.99103.6745907200160.127040834100137

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 97.3323723391841 & 0.0273731216658272 \tabularnewline
0.02 & 97.3586430420152 & 0.0484717252066725 \tabularnewline
0.03 & 97.3939650434281 & 0.0642824045355354 \tabularnewline
0.04 & 97.4346041757971 & 0.0805184053663189 \tabularnewline
0.05 & 97.4802030003103 & 0.10334255154859 \tabularnewline
0.06 & 97.5324272042843 & 0.133415504523125 \tabularnewline
0.07 & 97.5926766763445 & 0.165314633225491 \tabularnewline
0.08 & 97.6605253736857 & 0.191564113223121 \tabularnewline
0.09 & 97.7335823612318 & 0.207269280937605 \tabularnewline
0.1 & 97.8085719342255 & 0.212649374295349 \tabularnewline
0.11 & 97.8827971324609 & 0.212444835751105 \tabularnewline
0.12 & 97.9551353790321 & 0.213442359502966 \tabularnewline
0.13 & 98.0262005393451 & 0.220910527038457 \tabularnewline
0.14 & 98.0978329440795 & 0.23741458615066 \tabularnewline
0.15 & 98.1723214605441 & 0.262293427047381 \tabularnewline
0.16 & 98.2517045943076 & 0.292974938808828 \tabularnewline
0.17 & 98.3373086054823 & 0.326418985761257 \tabularnewline
0.18 & 98.4295229716444 & 0.35915759290738 \tabularnewline
0.19 & 98.5277525454918 & 0.387145195525218 \tabularnewline
0.2 & 98.6304979890557 & 0.407311349358557 \tabularnewline
0.21 & 98.7355452219756 & 0.416647924021776 \tabularnewline
0.22 & 98.8402511515897 & 0.414142338098956 \tabularnewline
0.23 & 98.9418926027465 & 0.399879563768244 \tabularnewline
0.24 & 99.0380189047877 & 0.375895852591153 \tabularnewline
0.25 & 99.1267394839059 & 0.344628634724478 \tabularnewline
0.26 & 99.2068951958552 & 0.309834001599871 \tabularnewline
0.27 & 99.2780976746629 & 0.274703020248884 \tabularnewline
0.28 & 99.3406572258111 & 0.241794427516736 \tabularnewline
0.29 & 99.3954417986502 & 0.213368886125204 \tabularnewline
0.3 & 99.4437120297683 & 0.190688230164991 \tabularnewline
0.31 & 99.4869647310926 & 0.174566224794166 \tabularnewline
0.32 & 99.5267989913051 & 0.165682245948555 \tabularnewline
0.33 & 99.5648041542767 & 0.163943341534016 \tabularnewline
0.34 & 99.6024621419412 & 0.168708298391111 \tabularnewline
0.35 & 99.6410580469742 & 0.178939069937831 \tabularnewline
0.36 & 99.681599524318 & 0.193045952348942 \tabularnewline
0.37 & 99.7247529385183 & 0.209065273173258 \tabularnewline
0.38 & 99.7708086695304 & 0.225132499604456 \tabularnewline
0.39 & 99.819687227744 & 0.239494505052005 \tabularnewline
0.4 & 99.8709916985753 & 0.250688676059324 \tabularnewline
0.41 & 99.9241022784071 & 0.258113976605831 \tabularnewline
0.42 & 99.9782983600636 & 0.261435839069491 \tabularnewline
0.43 & 100.032886193586 & 0.261348057357759 \tabularnewline
0.44 & 100.087308176201 & 0.258835044259265 \tabularnewline
0.45 & 100.141214139397 & 0.255147669685096 \tabularnewline
0.46 & 100.194484328742 & 0.2517183096133 \tabularnewline
0.47 & 100.247205192945 & 0.249422609933273 \tabularnewline
0.48 & 100.299609129373 & 0.248984815481446 \tabularnewline
0.49 & 100.351995210524 & 0.250061133701237 \tabularnewline
0.5 & 100.404648544288 & 0.252380754498367 \tabularnewline
0.51 & 100.457772100062 & 0.255603096939235 \tabularnewline
0.52 & 100.511438717352 & 0.258512496167401 \tabularnewline
0.53 & 100.565565092713 & 0.260732423688704 \tabularnewline
0.54 & 100.619905622923 & 0.261268700788423 \tabularnewline
0.55 & 100.674062614614 & 0.259280189600149 \tabularnewline
0.56 & 100.727509888154 & 0.254625885239725 \tabularnewline
0.57 & 100.779627889691 & 0.246632529860152 \tabularnewline
0.58 & 100.829748857249 & 0.235408270533776 \tabularnewline
0.59 & 100.877209803827 & 0.220823986207101 \tabularnewline
0.6 & 100.92140935134 & 0.203724545758817 \tabularnewline
0.61 & 100.961862633431 & 0.184353243592985 \tabularnewline
0.62 & 100.998247562075 & 0.163809125406918 \tabularnewline
0.63 & 101.030436363314 & 0.143000368232687 \tabularnewline
0.64 & 101.058508477959 & 0.123044828725029 \tabularnewline
0.65 & 101.082744167489 & 0.104794319985178 \tabularnewline
0.66 & 101.103601612114 & 0.0888824915761101 \tabularnewline
0.67 & 101.121683104971 & 0.0760778706455698 \tabularnewline
0.68 & 101.137697614383 & 0.0668321349455675 \tabularnewline
0.69 & 101.152427419444 & 0.0613232797788096 \tabularnewline
0.7 & 101.166705962845 & 0.0597548064932169 \tabularnewline
0.71 & 101.181412764997 & 0.0621434439625127 \tabularnewline
0.72 & 101.197489097986 & 0.0684369900204977 \tabularnewline
0.73 & 101.215974433937 & 0.0792009092820686 \tabularnewline
0.74 & 101.238057397657 & 0.0944939052797226 \tabularnewline
0.75 & 101.265125484945 & 0.115334754692941 \tabularnewline
0.76 & 101.298786417657 & 0.142283072959581 \tabularnewline
0.77 & 101.340825019633 & 0.175984150451522 \tabularnewline
0.78 & 101.393060176926 & 0.216159777408982 \tabularnewline
0.79 & 101.457084343457 & 0.261166990555705 \tabularnewline
0.8 & 101.533905808335 & 0.308007384123235 \tabularnewline
0.81 & 101.62356374916 & 0.351917394582204 \tabularnewline
0.82 & 101.724828185535 & 0.38771403187529 \tabularnewline
0.83 & 101.835106100225 & 0.41037905974855 \tabularnewline
0.84 & 101.950634801002 & 0.416223387037355 \tabularnewline
0.85 & 102.066961187846 & 0.404276016364029 \tabularnewline
0.86 & 102.179615254711 & 0.376353131817264 \tabularnewline
0.87 & 102.284834252032 & 0.336629194066217 \tabularnewline
0.88 & 102.380210137728 & 0.290711308117858 \tabularnewline
0.89 & 102.465205296261 & 0.245218001651199 \tabularnewline
0.9 & 102.541553887028 & 0.206668349259037 \tabularnewline
0.91 & 102.613564661207 & 0.182155830557447 \tabularnewline
0.92 & 102.688220236104 & 0.178606840050852 \tabularnewline
0.93 & 102.774754141299 & 0.199568035200437 \tabularnewline
0.94 & 102.883182211621 & 0.240859290442646 \tabularnewline
0.95 & 103.021203844533 & 0.28974891611942 \tabularnewline
0.96 & 103.189200928385 & 0.325039645996622 \tabularnewline
0.97 & 103.374392647062 & 0.31891537638844 \tabularnewline
0.98 & 103.548312263166 & 0.248428586242429 \tabularnewline
0.99 & 103.674590720016 & 0.127040834100137 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283588&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]97.3323723391841[/C][C]0.0273731216658272[/C][/ROW]
[ROW][C]0.02[/C][C]97.3586430420152[/C][C]0.0484717252066725[/C][/ROW]
[ROW][C]0.03[/C][C]97.3939650434281[/C][C]0.0642824045355354[/C][/ROW]
[ROW][C]0.04[/C][C]97.4346041757971[/C][C]0.0805184053663189[/C][/ROW]
[ROW][C]0.05[/C][C]97.4802030003103[/C][C]0.10334255154859[/C][/ROW]
[ROW][C]0.06[/C][C]97.5324272042843[/C][C]0.133415504523125[/C][/ROW]
[ROW][C]0.07[/C][C]97.5926766763445[/C][C]0.165314633225491[/C][/ROW]
[ROW][C]0.08[/C][C]97.6605253736857[/C][C]0.191564113223121[/C][/ROW]
[ROW][C]0.09[/C][C]97.7335823612318[/C][C]0.207269280937605[/C][/ROW]
[ROW][C]0.1[/C][C]97.8085719342255[/C][C]0.212649374295349[/C][/ROW]
[ROW][C]0.11[/C][C]97.8827971324609[/C][C]0.212444835751105[/C][/ROW]
[ROW][C]0.12[/C][C]97.9551353790321[/C][C]0.213442359502966[/C][/ROW]
[ROW][C]0.13[/C][C]98.0262005393451[/C][C]0.220910527038457[/C][/ROW]
[ROW][C]0.14[/C][C]98.0978329440795[/C][C]0.23741458615066[/C][/ROW]
[ROW][C]0.15[/C][C]98.1723214605441[/C][C]0.262293427047381[/C][/ROW]
[ROW][C]0.16[/C][C]98.2517045943076[/C][C]0.292974938808828[/C][/ROW]
[ROW][C]0.17[/C][C]98.3373086054823[/C][C]0.326418985761257[/C][/ROW]
[ROW][C]0.18[/C][C]98.4295229716444[/C][C]0.35915759290738[/C][/ROW]
[ROW][C]0.19[/C][C]98.5277525454918[/C][C]0.387145195525218[/C][/ROW]
[ROW][C]0.2[/C][C]98.6304979890557[/C][C]0.407311349358557[/C][/ROW]
[ROW][C]0.21[/C][C]98.7355452219756[/C][C]0.416647924021776[/C][/ROW]
[ROW][C]0.22[/C][C]98.8402511515897[/C][C]0.414142338098956[/C][/ROW]
[ROW][C]0.23[/C][C]98.9418926027465[/C][C]0.399879563768244[/C][/ROW]
[ROW][C]0.24[/C][C]99.0380189047877[/C][C]0.375895852591153[/C][/ROW]
[ROW][C]0.25[/C][C]99.1267394839059[/C][C]0.344628634724478[/C][/ROW]
[ROW][C]0.26[/C][C]99.2068951958552[/C][C]0.309834001599871[/C][/ROW]
[ROW][C]0.27[/C][C]99.2780976746629[/C][C]0.274703020248884[/C][/ROW]
[ROW][C]0.28[/C][C]99.3406572258111[/C][C]0.241794427516736[/C][/ROW]
[ROW][C]0.29[/C][C]99.3954417986502[/C][C]0.213368886125204[/C][/ROW]
[ROW][C]0.3[/C][C]99.4437120297683[/C][C]0.190688230164991[/C][/ROW]
[ROW][C]0.31[/C][C]99.4869647310926[/C][C]0.174566224794166[/C][/ROW]
[ROW][C]0.32[/C][C]99.5267989913051[/C][C]0.165682245948555[/C][/ROW]
[ROW][C]0.33[/C][C]99.5648041542767[/C][C]0.163943341534016[/C][/ROW]
[ROW][C]0.34[/C][C]99.6024621419412[/C][C]0.168708298391111[/C][/ROW]
[ROW][C]0.35[/C][C]99.6410580469742[/C][C]0.178939069937831[/C][/ROW]
[ROW][C]0.36[/C][C]99.681599524318[/C][C]0.193045952348942[/C][/ROW]
[ROW][C]0.37[/C][C]99.7247529385183[/C][C]0.209065273173258[/C][/ROW]
[ROW][C]0.38[/C][C]99.7708086695304[/C][C]0.225132499604456[/C][/ROW]
[ROW][C]0.39[/C][C]99.819687227744[/C][C]0.239494505052005[/C][/ROW]
[ROW][C]0.4[/C][C]99.8709916985753[/C][C]0.250688676059324[/C][/ROW]
[ROW][C]0.41[/C][C]99.9241022784071[/C][C]0.258113976605831[/C][/ROW]
[ROW][C]0.42[/C][C]99.9782983600636[/C][C]0.261435839069491[/C][/ROW]
[ROW][C]0.43[/C][C]100.032886193586[/C][C]0.261348057357759[/C][/ROW]
[ROW][C]0.44[/C][C]100.087308176201[/C][C]0.258835044259265[/C][/ROW]
[ROW][C]0.45[/C][C]100.141214139397[/C][C]0.255147669685096[/C][/ROW]
[ROW][C]0.46[/C][C]100.194484328742[/C][C]0.2517183096133[/C][/ROW]
[ROW][C]0.47[/C][C]100.247205192945[/C][C]0.249422609933273[/C][/ROW]
[ROW][C]0.48[/C][C]100.299609129373[/C][C]0.248984815481446[/C][/ROW]
[ROW][C]0.49[/C][C]100.351995210524[/C][C]0.250061133701237[/C][/ROW]
[ROW][C]0.5[/C][C]100.404648544288[/C][C]0.252380754498367[/C][/ROW]
[ROW][C]0.51[/C][C]100.457772100062[/C][C]0.255603096939235[/C][/ROW]
[ROW][C]0.52[/C][C]100.511438717352[/C][C]0.258512496167401[/C][/ROW]
[ROW][C]0.53[/C][C]100.565565092713[/C][C]0.260732423688704[/C][/ROW]
[ROW][C]0.54[/C][C]100.619905622923[/C][C]0.261268700788423[/C][/ROW]
[ROW][C]0.55[/C][C]100.674062614614[/C][C]0.259280189600149[/C][/ROW]
[ROW][C]0.56[/C][C]100.727509888154[/C][C]0.254625885239725[/C][/ROW]
[ROW][C]0.57[/C][C]100.779627889691[/C][C]0.246632529860152[/C][/ROW]
[ROW][C]0.58[/C][C]100.829748857249[/C][C]0.235408270533776[/C][/ROW]
[ROW][C]0.59[/C][C]100.877209803827[/C][C]0.220823986207101[/C][/ROW]
[ROW][C]0.6[/C][C]100.92140935134[/C][C]0.203724545758817[/C][/ROW]
[ROW][C]0.61[/C][C]100.961862633431[/C][C]0.184353243592985[/C][/ROW]
[ROW][C]0.62[/C][C]100.998247562075[/C][C]0.163809125406918[/C][/ROW]
[ROW][C]0.63[/C][C]101.030436363314[/C][C]0.143000368232687[/C][/ROW]
[ROW][C]0.64[/C][C]101.058508477959[/C][C]0.123044828725029[/C][/ROW]
[ROW][C]0.65[/C][C]101.082744167489[/C][C]0.104794319985178[/C][/ROW]
[ROW][C]0.66[/C][C]101.103601612114[/C][C]0.0888824915761101[/C][/ROW]
[ROW][C]0.67[/C][C]101.121683104971[/C][C]0.0760778706455698[/C][/ROW]
[ROW][C]0.68[/C][C]101.137697614383[/C][C]0.0668321349455675[/C][/ROW]
[ROW][C]0.69[/C][C]101.152427419444[/C][C]0.0613232797788096[/C][/ROW]
[ROW][C]0.7[/C][C]101.166705962845[/C][C]0.0597548064932169[/C][/ROW]
[ROW][C]0.71[/C][C]101.181412764997[/C][C]0.0621434439625127[/C][/ROW]
[ROW][C]0.72[/C][C]101.197489097986[/C][C]0.0684369900204977[/C][/ROW]
[ROW][C]0.73[/C][C]101.215974433937[/C][C]0.0792009092820686[/C][/ROW]
[ROW][C]0.74[/C][C]101.238057397657[/C][C]0.0944939052797226[/C][/ROW]
[ROW][C]0.75[/C][C]101.265125484945[/C][C]0.115334754692941[/C][/ROW]
[ROW][C]0.76[/C][C]101.298786417657[/C][C]0.142283072959581[/C][/ROW]
[ROW][C]0.77[/C][C]101.340825019633[/C][C]0.175984150451522[/C][/ROW]
[ROW][C]0.78[/C][C]101.393060176926[/C][C]0.216159777408982[/C][/ROW]
[ROW][C]0.79[/C][C]101.457084343457[/C][C]0.261166990555705[/C][/ROW]
[ROW][C]0.8[/C][C]101.533905808335[/C][C]0.308007384123235[/C][/ROW]
[ROW][C]0.81[/C][C]101.62356374916[/C][C]0.351917394582204[/C][/ROW]
[ROW][C]0.82[/C][C]101.724828185535[/C][C]0.38771403187529[/C][/ROW]
[ROW][C]0.83[/C][C]101.835106100225[/C][C]0.41037905974855[/C][/ROW]
[ROW][C]0.84[/C][C]101.950634801002[/C][C]0.416223387037355[/C][/ROW]
[ROW][C]0.85[/C][C]102.066961187846[/C][C]0.404276016364029[/C][/ROW]
[ROW][C]0.86[/C][C]102.179615254711[/C][C]0.376353131817264[/C][/ROW]
[ROW][C]0.87[/C][C]102.284834252032[/C][C]0.336629194066217[/C][/ROW]
[ROW][C]0.88[/C][C]102.380210137728[/C][C]0.290711308117858[/C][/ROW]
[ROW][C]0.89[/C][C]102.465205296261[/C][C]0.245218001651199[/C][/ROW]
[ROW][C]0.9[/C][C]102.541553887028[/C][C]0.206668349259037[/C][/ROW]
[ROW][C]0.91[/C][C]102.613564661207[/C][C]0.182155830557447[/C][/ROW]
[ROW][C]0.92[/C][C]102.688220236104[/C][C]0.178606840050852[/C][/ROW]
[ROW][C]0.93[/C][C]102.774754141299[/C][C]0.199568035200437[/C][/ROW]
[ROW][C]0.94[/C][C]102.883182211621[/C][C]0.240859290442646[/C][/ROW]
[ROW][C]0.95[/C][C]103.021203844533[/C][C]0.28974891611942[/C][/ROW]
[ROW][C]0.96[/C][C]103.189200928385[/C][C]0.325039645996622[/C][/ROW]
[ROW][C]0.97[/C][C]103.374392647062[/C][C]0.31891537638844[/C][/ROW]
[ROW][C]0.98[/C][C]103.548312263166[/C][C]0.248428586242429[/C][/ROW]
[ROW][C]0.99[/C][C]103.674590720016[/C][C]0.127040834100137[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283588&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283588&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
0.0197.33237233918410.0273731216658272
0.0297.35864304201520.0484717252066725
0.0397.39396504342810.0642824045355354
0.0497.43460417579710.0805184053663189
0.0597.48020300031030.10334255154859
0.0697.53242720428430.133415504523125
0.0797.59267667634450.165314633225491
0.0897.66052537368570.191564113223121
0.0997.73358236123180.207269280937605
0.197.80857193422550.212649374295349
0.1197.88279713246090.212444835751105
0.1297.95513537903210.213442359502966
0.1398.02620053934510.220910527038457
0.1498.09783294407950.23741458615066
0.1598.17232146054410.262293427047381
0.1698.25170459430760.292974938808828
0.1798.33730860548230.326418985761257
0.1898.42952297164440.35915759290738
0.1998.52775254549180.387145195525218
0.298.63049798905570.407311349358557
0.2198.73554522197560.416647924021776
0.2298.84025115158970.414142338098956
0.2398.94189260274650.399879563768244
0.2499.03801890478770.375895852591153
0.2599.12673948390590.344628634724478
0.2699.20689519585520.309834001599871
0.2799.27809767466290.274703020248884
0.2899.34065722581110.241794427516736
0.2999.39544179865020.213368886125204
0.399.44371202976830.190688230164991
0.3199.48696473109260.174566224794166
0.3299.52679899130510.165682245948555
0.3399.56480415427670.163943341534016
0.3499.60246214194120.168708298391111
0.3599.64105804697420.178939069937831
0.3699.6815995243180.193045952348942
0.3799.72475293851830.209065273173258
0.3899.77080866953040.225132499604456
0.3999.8196872277440.239494505052005
0.499.87099169857530.250688676059324
0.4199.92410227840710.258113976605831
0.4299.97829836006360.261435839069491
0.43100.0328861935860.261348057357759
0.44100.0873081762010.258835044259265
0.45100.1412141393970.255147669685096
0.46100.1944843287420.2517183096133
0.47100.2472051929450.249422609933273
0.48100.2996091293730.248984815481446
0.49100.3519952105240.250061133701237
0.5100.4046485442880.252380754498367
0.51100.4577721000620.255603096939235
0.52100.5114387173520.258512496167401
0.53100.5655650927130.260732423688704
0.54100.6199056229230.261268700788423
0.55100.6740626146140.259280189600149
0.56100.7275098881540.254625885239725
0.57100.7796278896910.246632529860152
0.58100.8297488572490.235408270533776
0.59100.8772098038270.220823986207101
0.6100.921409351340.203724545758817
0.61100.9618626334310.184353243592985
0.62100.9982475620750.163809125406918
0.63101.0304363633140.143000368232687
0.64101.0585084779590.123044828725029
0.65101.0827441674890.104794319985178
0.66101.1036016121140.0888824915761101
0.67101.1216831049710.0760778706455698
0.68101.1376976143830.0668321349455675
0.69101.1524274194440.0613232797788096
0.7101.1667059628450.0597548064932169
0.71101.1814127649970.0621434439625127
0.72101.1974890979860.0684369900204977
0.73101.2159744339370.0792009092820686
0.74101.2380573976570.0944939052797226
0.75101.2651254849450.115334754692941
0.76101.2987864176570.142283072959581
0.77101.3408250196330.175984150451522
0.78101.3930601769260.216159777408982
0.79101.4570843434570.261166990555705
0.8101.5339058083350.308007384123235
0.81101.623563749160.351917394582204
0.82101.7248281855350.38771403187529
0.83101.8351061002250.41037905974855
0.84101.9506348010020.416223387037355
0.85102.0669611878460.404276016364029
0.86102.1796152547110.376353131817264
0.87102.2848342520320.336629194066217
0.88102.3802101377280.290711308117858
0.89102.4652052962610.245218001651199
0.9102.5415538870280.206668349259037
0.91102.6135646612070.182155830557447
0.92102.6882202361040.178606840050852
0.93102.7747541412990.199568035200437
0.94102.8831822116210.240859290442646
0.95103.0212038445330.28974891611942
0.96103.1892009283850.325039645996622
0.97103.3743926470620.31891537638844
0.98103.5483122631660.248428586242429
0.99103.6745907200160.127040834100137


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')