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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 04 Oct 2013 09:15:00 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/04/t1380892520i4msflqiolpqncl.htm/, Retrieved Sun, 28 Apr 2024 23:13:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=213153, Retrieved Sun, 28 Apr 2024 23:13:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact90
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2013-10-04 13:15:00] [17b6b1d507219cce54aa3edb43843a55] [Current]
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Dataseries X:
1,2103
1,1938
1,202
1,2271
1,277
1,265
1,2684
1,2811
1,2727
1,2611
1,2881
1,3213
1,2999
1,3074
1,3242
1,3516
1,3511
1,3419
1,3716
1,3622
1,3896
1,4227
1,4684
1,457
1,4718
1,4748
1,5527
1,5751
1,5557
1,5553
1,577
1,4975
1,4369
1,3322
1,2732
1,3449
1,3239
1,2785
1,305
1,319
1,365
1,4016
1,4088
1,4268
1,4562
1,4816
1,4914
1,4614
1,4272
1,3686
1,3569
1,3406
1,2565
1,2209
1,277
1,2894
1,3067
1,3898
1,3661
1,322
1,336
1,3649
1,3999
1,4442
1,4349
1,4388
1,4264
1,4343
1,377
1,3706
1,3556
1,3179
1,2905
1,3224
1,3201
1,3162
1,2789
1,2526
1,2288
1,24
1,2856
1,2974
1,2828
1,3119




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213153&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213153&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213153&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.197569870964320.00856765073193556
0.021.203700662276460.0100331366040116
0.031.210486636160150.0114392797629562
0.041.217161383584720.0123637202417394
0.051.223554510494390.0131630660466603
0.061.229698923995790.0140387929898016
0.071.235644356194660.0147733260939437
0.081.241376157079260.0150409839185371
0.091.246809237680510.0146966581828971
0.11.251832062132480.0138279975577435
0.111.256357642977520.0126518442375053
0.121.260350867409890.0113843847174956
0.131.263827868174920.0101749485396938
0.141.266839729842310.00909682094622501
0.151.269454403565450.00818211906842371
0.161.271744284690190.00744260968895267
0.171.273780282698960.00689142788491167
0.181.275629896380050.00654500492998764
0.191.277356564988210.00641198915227321
0.21.279018751301880.00648709469065584
0.211.280668442824710.00675165780075968
0.221.282349433902520.00716524897407201
0.231.284095876441770.00769312681508218
0.241.285931411476220.00828526567099002
0.251.287868964726170.00890145440122869
0.261.289911142748010.00949570273385943
0.271.292051125931720.0100314256497275
0.281.29427397752620.0104712837334176
0.291.296558317479280.0107928226207157
0.31.298878311852210.010976460511816
0.311.301205900952730.0110142149669797
0.321.303513151377330.0109146826048401
0.331.305774589810850.0106918849598766
0.341.307969368105370.0103721363178931
0.351.310083113925650.00999255543896077
0.361.312109327805130.00959016847155747
0.371.314050190859280.009213507434194
0.381.315916655238660.00891052069561651
0.391.317727718539690.00872472187768391
0.41.319508849522870.00868815853045707
0.411.321289638693710.00882359105248817
0.421.32310087798870.00912753538313161
0.431.324971397389120.00957609705903767
0.441.326925065551730.0101324107635211
0.451.328978367362050.0107426762845649
0.461.331138894019190.0113535383695028
0.471.333404935310240.0119184591609789
0.481.335766183873720.0123886115940915
0.491.338205391612060.012741585446893
0.51.340700698426450.012959876352774
0.511.343228305552510.0130415578486799
0.521.345765189110970.0129978926888952
0.531.34829162165850.012857983182979
0.541.350793355682560.0126489646633838
0.551.353263388930620.0124141348287364
0.561.355703256134970.0121967693928694
0.571.358123774622780.0120496350596871
0.581.360545132408530.0120238120013637
0.591.362996179045010.0121618296364716
0.61.365512793752110.0125035443142311
0.611.368135280523190.0130628485371565
0.621.370904872283090.0138332793273504
0.631.373859589666540.0147841134511475
0.641.377029854771380.015858533950224
0.651.380434366874870.0169804525934312
0.661.384076780217180.0180677736402992
0.671.387943679208140.019028801600986
0.681.392004237324390.0197839759155037
0.691.396211792576080.0202639307496869
0.71.400507388595550.0204151769729946
0.711.40482511819030.0202201104874442
0.721.409098862208810.0196944891849385
0.731.413269747929050.0188844752045627
0.741.417293391974410.0178736714362641
0.751.421145809563150.0167663529468966
0.761.424826851776520.0156854245957844
0.771.428360255255360.0147510984871042
0.781.431789892178270.0140581655106243
0.791.435172558837240.0136550468743508
0.81.43856851953180.0135371706031071
0.811.442031836246580.0136382832451791
0.821.445603042599210.0138589583429314
0.831.44930678833880.0140967775711018
0.841.45315663420330.0142812003849116
0.851.457168284846960.0144040365871933
0.861.461381242170170.014541581681314
0.871.46588680026550.0148733197965767
0.881.470856486356450.0156819959109365
0.891.47655828402430.0173025102287844
0.91.483339062308840.0199824077286659
0.911.491547366244940.0236377988230441
0.921.501386062589850.0276164036480056
0.931.512733898025830.0306614833814962
0.941.525046046057980.0313012261137238
0.951.537465237104560.0287188524437325
0.961.549143682828130.0236196012352261
0.971.559507068181110.0180167954269335
0.981.568103357789540.0129433377889888
0.991.574191641800160.00707127174154804

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.19756987096432 & 0.00856765073193556 \tabularnewline
0.02 & 1.20370066227646 & 0.0100331366040116 \tabularnewline
0.03 & 1.21048663616015 & 0.0114392797629562 \tabularnewline
0.04 & 1.21716138358472 & 0.0123637202417394 \tabularnewline
0.05 & 1.22355451049439 & 0.0131630660466603 \tabularnewline
0.06 & 1.22969892399579 & 0.0140387929898016 \tabularnewline
0.07 & 1.23564435619466 & 0.0147733260939437 \tabularnewline
0.08 & 1.24137615707926 & 0.0150409839185371 \tabularnewline
0.09 & 1.24680923768051 & 0.0146966581828971 \tabularnewline
0.1 & 1.25183206213248 & 0.0138279975577435 \tabularnewline
0.11 & 1.25635764297752 & 0.0126518442375053 \tabularnewline
0.12 & 1.26035086740989 & 0.0113843847174956 \tabularnewline
0.13 & 1.26382786817492 & 0.0101749485396938 \tabularnewline
0.14 & 1.26683972984231 & 0.00909682094622501 \tabularnewline
0.15 & 1.26945440356545 & 0.00818211906842371 \tabularnewline
0.16 & 1.27174428469019 & 0.00744260968895267 \tabularnewline
0.17 & 1.27378028269896 & 0.00689142788491167 \tabularnewline
0.18 & 1.27562989638005 & 0.00654500492998764 \tabularnewline
0.19 & 1.27735656498821 & 0.00641198915227321 \tabularnewline
0.2 & 1.27901875130188 & 0.00648709469065584 \tabularnewline
0.21 & 1.28066844282471 & 0.00675165780075968 \tabularnewline
0.22 & 1.28234943390252 & 0.00716524897407201 \tabularnewline
0.23 & 1.28409587644177 & 0.00769312681508218 \tabularnewline
0.24 & 1.28593141147622 & 0.00828526567099002 \tabularnewline
0.25 & 1.28786896472617 & 0.00890145440122869 \tabularnewline
0.26 & 1.28991114274801 & 0.00949570273385943 \tabularnewline
0.27 & 1.29205112593172 & 0.0100314256497275 \tabularnewline
0.28 & 1.2942739775262 & 0.0104712837334176 \tabularnewline
0.29 & 1.29655831747928 & 0.0107928226207157 \tabularnewline
0.3 & 1.29887831185221 & 0.010976460511816 \tabularnewline
0.31 & 1.30120590095273 & 0.0110142149669797 \tabularnewline
0.32 & 1.30351315137733 & 0.0109146826048401 \tabularnewline
0.33 & 1.30577458981085 & 0.0106918849598766 \tabularnewline
0.34 & 1.30796936810537 & 0.0103721363178931 \tabularnewline
0.35 & 1.31008311392565 & 0.00999255543896077 \tabularnewline
0.36 & 1.31210932780513 & 0.00959016847155747 \tabularnewline
0.37 & 1.31405019085928 & 0.009213507434194 \tabularnewline
0.38 & 1.31591665523866 & 0.00891052069561651 \tabularnewline
0.39 & 1.31772771853969 & 0.00872472187768391 \tabularnewline
0.4 & 1.31950884952287 & 0.00868815853045707 \tabularnewline
0.41 & 1.32128963869371 & 0.00882359105248817 \tabularnewline
0.42 & 1.3231008779887 & 0.00912753538313161 \tabularnewline
0.43 & 1.32497139738912 & 0.00957609705903767 \tabularnewline
0.44 & 1.32692506555173 & 0.0101324107635211 \tabularnewline
0.45 & 1.32897836736205 & 0.0107426762845649 \tabularnewline
0.46 & 1.33113889401919 & 0.0113535383695028 \tabularnewline
0.47 & 1.33340493531024 & 0.0119184591609789 \tabularnewline
0.48 & 1.33576618387372 & 0.0123886115940915 \tabularnewline
0.49 & 1.33820539161206 & 0.012741585446893 \tabularnewline
0.5 & 1.34070069842645 & 0.012959876352774 \tabularnewline
0.51 & 1.34322830555251 & 0.0130415578486799 \tabularnewline
0.52 & 1.34576518911097 & 0.0129978926888952 \tabularnewline
0.53 & 1.3482916216585 & 0.012857983182979 \tabularnewline
0.54 & 1.35079335568256 & 0.0126489646633838 \tabularnewline
0.55 & 1.35326338893062 & 0.0124141348287364 \tabularnewline
0.56 & 1.35570325613497 & 0.0121967693928694 \tabularnewline
0.57 & 1.35812377462278 & 0.0120496350596871 \tabularnewline
0.58 & 1.36054513240853 & 0.0120238120013637 \tabularnewline
0.59 & 1.36299617904501 & 0.0121618296364716 \tabularnewline
0.6 & 1.36551279375211 & 0.0125035443142311 \tabularnewline
0.61 & 1.36813528052319 & 0.0130628485371565 \tabularnewline
0.62 & 1.37090487228309 & 0.0138332793273504 \tabularnewline
0.63 & 1.37385958966654 & 0.0147841134511475 \tabularnewline
0.64 & 1.37702985477138 & 0.015858533950224 \tabularnewline
0.65 & 1.38043436687487 & 0.0169804525934312 \tabularnewline
0.66 & 1.38407678021718 & 0.0180677736402992 \tabularnewline
0.67 & 1.38794367920814 & 0.019028801600986 \tabularnewline
0.68 & 1.39200423732439 & 0.0197839759155037 \tabularnewline
0.69 & 1.39621179257608 & 0.0202639307496869 \tabularnewline
0.7 & 1.40050738859555 & 0.0204151769729946 \tabularnewline
0.71 & 1.4048251181903 & 0.0202201104874442 \tabularnewline
0.72 & 1.40909886220881 & 0.0196944891849385 \tabularnewline
0.73 & 1.41326974792905 & 0.0188844752045627 \tabularnewline
0.74 & 1.41729339197441 & 0.0178736714362641 \tabularnewline
0.75 & 1.42114580956315 & 0.0167663529468966 \tabularnewline
0.76 & 1.42482685177652 & 0.0156854245957844 \tabularnewline
0.77 & 1.42836025525536 & 0.0147510984871042 \tabularnewline
0.78 & 1.43178989217827 & 0.0140581655106243 \tabularnewline
0.79 & 1.43517255883724 & 0.0136550468743508 \tabularnewline
0.8 & 1.4385685195318 & 0.0135371706031071 \tabularnewline
0.81 & 1.44203183624658 & 0.0136382832451791 \tabularnewline
0.82 & 1.44560304259921 & 0.0138589583429314 \tabularnewline
0.83 & 1.4493067883388 & 0.0140967775711018 \tabularnewline
0.84 & 1.4531566342033 & 0.0142812003849116 \tabularnewline
0.85 & 1.45716828484696 & 0.0144040365871933 \tabularnewline
0.86 & 1.46138124217017 & 0.014541581681314 \tabularnewline
0.87 & 1.4658868002655 & 0.0148733197965767 \tabularnewline
0.88 & 1.47085648635645 & 0.0156819959109365 \tabularnewline
0.89 & 1.4765582840243 & 0.0173025102287844 \tabularnewline
0.9 & 1.48333906230884 & 0.0199824077286659 \tabularnewline
0.91 & 1.49154736624494 & 0.0236377988230441 \tabularnewline
0.92 & 1.50138606258985 & 0.0276164036480056 \tabularnewline
0.93 & 1.51273389802583 & 0.0306614833814962 \tabularnewline
0.94 & 1.52504604605798 & 0.0313012261137238 \tabularnewline
0.95 & 1.53746523710456 & 0.0287188524437325 \tabularnewline
0.96 & 1.54914368282813 & 0.0236196012352261 \tabularnewline
0.97 & 1.55950706818111 & 0.0180167954269335 \tabularnewline
0.98 & 1.56810335778954 & 0.0129433377889888 \tabularnewline
0.99 & 1.57419164180016 & 0.00707127174154804 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213153&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]1.19756987096432[/C][C]0.00856765073193556[/C][/ROW]
[ROW][C]0.02[/C][C]1.20370066227646[/C][C]0.0100331366040116[/C][/ROW]
[ROW][C]0.03[/C][C]1.21048663616015[/C][C]0.0114392797629562[/C][/ROW]
[ROW][C]0.04[/C][C]1.21716138358472[/C][C]0.0123637202417394[/C][/ROW]
[ROW][C]0.05[/C][C]1.22355451049439[/C][C]0.0131630660466603[/C][/ROW]
[ROW][C]0.06[/C][C]1.22969892399579[/C][C]0.0140387929898016[/C][/ROW]
[ROW][C]0.07[/C][C]1.23564435619466[/C][C]0.0147733260939437[/C][/ROW]
[ROW][C]0.08[/C][C]1.24137615707926[/C][C]0.0150409839185371[/C][/ROW]
[ROW][C]0.09[/C][C]1.24680923768051[/C][C]0.0146966581828971[/C][/ROW]
[ROW][C]0.1[/C][C]1.25183206213248[/C][C]0.0138279975577435[/C][/ROW]
[ROW][C]0.11[/C][C]1.25635764297752[/C][C]0.0126518442375053[/C][/ROW]
[ROW][C]0.12[/C][C]1.26035086740989[/C][C]0.0113843847174956[/C][/ROW]
[ROW][C]0.13[/C][C]1.26382786817492[/C][C]0.0101749485396938[/C][/ROW]
[ROW][C]0.14[/C][C]1.26683972984231[/C][C]0.00909682094622501[/C][/ROW]
[ROW][C]0.15[/C][C]1.26945440356545[/C][C]0.00818211906842371[/C][/ROW]
[ROW][C]0.16[/C][C]1.27174428469019[/C][C]0.00744260968895267[/C][/ROW]
[ROW][C]0.17[/C][C]1.27378028269896[/C][C]0.00689142788491167[/C][/ROW]
[ROW][C]0.18[/C][C]1.27562989638005[/C][C]0.00654500492998764[/C][/ROW]
[ROW][C]0.19[/C][C]1.27735656498821[/C][C]0.00641198915227321[/C][/ROW]
[ROW][C]0.2[/C][C]1.27901875130188[/C][C]0.00648709469065584[/C][/ROW]
[ROW][C]0.21[/C][C]1.28066844282471[/C][C]0.00675165780075968[/C][/ROW]
[ROW][C]0.22[/C][C]1.28234943390252[/C][C]0.00716524897407201[/C][/ROW]
[ROW][C]0.23[/C][C]1.28409587644177[/C][C]0.00769312681508218[/C][/ROW]
[ROW][C]0.24[/C][C]1.28593141147622[/C][C]0.00828526567099002[/C][/ROW]
[ROW][C]0.25[/C][C]1.28786896472617[/C][C]0.00890145440122869[/C][/ROW]
[ROW][C]0.26[/C][C]1.28991114274801[/C][C]0.00949570273385943[/C][/ROW]
[ROW][C]0.27[/C][C]1.29205112593172[/C][C]0.0100314256497275[/C][/ROW]
[ROW][C]0.28[/C][C]1.2942739775262[/C][C]0.0104712837334176[/C][/ROW]
[ROW][C]0.29[/C][C]1.29655831747928[/C][C]0.0107928226207157[/C][/ROW]
[ROW][C]0.3[/C][C]1.29887831185221[/C][C]0.010976460511816[/C][/ROW]
[ROW][C]0.31[/C][C]1.30120590095273[/C][C]0.0110142149669797[/C][/ROW]
[ROW][C]0.32[/C][C]1.30351315137733[/C][C]0.0109146826048401[/C][/ROW]
[ROW][C]0.33[/C][C]1.30577458981085[/C][C]0.0106918849598766[/C][/ROW]
[ROW][C]0.34[/C][C]1.30796936810537[/C][C]0.0103721363178931[/C][/ROW]
[ROW][C]0.35[/C][C]1.31008311392565[/C][C]0.00999255543896077[/C][/ROW]
[ROW][C]0.36[/C][C]1.31210932780513[/C][C]0.00959016847155747[/C][/ROW]
[ROW][C]0.37[/C][C]1.31405019085928[/C][C]0.009213507434194[/C][/ROW]
[ROW][C]0.38[/C][C]1.31591665523866[/C][C]0.00891052069561651[/C][/ROW]
[ROW][C]0.39[/C][C]1.31772771853969[/C][C]0.00872472187768391[/C][/ROW]
[ROW][C]0.4[/C][C]1.31950884952287[/C][C]0.00868815853045707[/C][/ROW]
[ROW][C]0.41[/C][C]1.32128963869371[/C][C]0.00882359105248817[/C][/ROW]
[ROW][C]0.42[/C][C]1.3231008779887[/C][C]0.00912753538313161[/C][/ROW]
[ROW][C]0.43[/C][C]1.32497139738912[/C][C]0.00957609705903767[/C][/ROW]
[ROW][C]0.44[/C][C]1.32692506555173[/C][C]0.0101324107635211[/C][/ROW]
[ROW][C]0.45[/C][C]1.32897836736205[/C][C]0.0107426762845649[/C][/ROW]
[ROW][C]0.46[/C][C]1.33113889401919[/C][C]0.0113535383695028[/C][/ROW]
[ROW][C]0.47[/C][C]1.33340493531024[/C][C]0.0119184591609789[/C][/ROW]
[ROW][C]0.48[/C][C]1.33576618387372[/C][C]0.0123886115940915[/C][/ROW]
[ROW][C]0.49[/C][C]1.33820539161206[/C][C]0.012741585446893[/C][/ROW]
[ROW][C]0.5[/C][C]1.34070069842645[/C][C]0.012959876352774[/C][/ROW]
[ROW][C]0.51[/C][C]1.34322830555251[/C][C]0.0130415578486799[/C][/ROW]
[ROW][C]0.52[/C][C]1.34576518911097[/C][C]0.0129978926888952[/C][/ROW]
[ROW][C]0.53[/C][C]1.3482916216585[/C][C]0.012857983182979[/C][/ROW]
[ROW][C]0.54[/C][C]1.35079335568256[/C][C]0.0126489646633838[/C][/ROW]
[ROW][C]0.55[/C][C]1.35326338893062[/C][C]0.0124141348287364[/C][/ROW]
[ROW][C]0.56[/C][C]1.35570325613497[/C][C]0.0121967693928694[/C][/ROW]
[ROW][C]0.57[/C][C]1.35812377462278[/C][C]0.0120496350596871[/C][/ROW]
[ROW][C]0.58[/C][C]1.36054513240853[/C][C]0.0120238120013637[/C][/ROW]
[ROW][C]0.59[/C][C]1.36299617904501[/C][C]0.0121618296364716[/C][/ROW]
[ROW][C]0.6[/C][C]1.36551279375211[/C][C]0.0125035443142311[/C][/ROW]
[ROW][C]0.61[/C][C]1.36813528052319[/C][C]0.0130628485371565[/C][/ROW]
[ROW][C]0.62[/C][C]1.37090487228309[/C][C]0.0138332793273504[/C][/ROW]
[ROW][C]0.63[/C][C]1.37385958966654[/C][C]0.0147841134511475[/C][/ROW]
[ROW][C]0.64[/C][C]1.37702985477138[/C][C]0.015858533950224[/C][/ROW]
[ROW][C]0.65[/C][C]1.38043436687487[/C][C]0.0169804525934312[/C][/ROW]
[ROW][C]0.66[/C][C]1.38407678021718[/C][C]0.0180677736402992[/C][/ROW]
[ROW][C]0.67[/C][C]1.38794367920814[/C][C]0.019028801600986[/C][/ROW]
[ROW][C]0.68[/C][C]1.39200423732439[/C][C]0.0197839759155037[/C][/ROW]
[ROW][C]0.69[/C][C]1.39621179257608[/C][C]0.0202639307496869[/C][/ROW]
[ROW][C]0.7[/C][C]1.40050738859555[/C][C]0.0204151769729946[/C][/ROW]
[ROW][C]0.71[/C][C]1.4048251181903[/C][C]0.0202201104874442[/C][/ROW]
[ROW][C]0.72[/C][C]1.40909886220881[/C][C]0.0196944891849385[/C][/ROW]
[ROW][C]0.73[/C][C]1.41326974792905[/C][C]0.0188844752045627[/C][/ROW]
[ROW][C]0.74[/C][C]1.41729339197441[/C][C]0.0178736714362641[/C][/ROW]
[ROW][C]0.75[/C][C]1.42114580956315[/C][C]0.0167663529468966[/C][/ROW]
[ROW][C]0.76[/C][C]1.42482685177652[/C][C]0.0156854245957844[/C][/ROW]
[ROW][C]0.77[/C][C]1.42836025525536[/C][C]0.0147510984871042[/C][/ROW]
[ROW][C]0.78[/C][C]1.43178989217827[/C][C]0.0140581655106243[/C][/ROW]
[ROW][C]0.79[/C][C]1.43517255883724[/C][C]0.0136550468743508[/C][/ROW]
[ROW][C]0.8[/C][C]1.4385685195318[/C][C]0.0135371706031071[/C][/ROW]
[ROW][C]0.81[/C][C]1.44203183624658[/C][C]0.0136382832451791[/C][/ROW]
[ROW][C]0.82[/C][C]1.44560304259921[/C][C]0.0138589583429314[/C][/ROW]
[ROW][C]0.83[/C][C]1.4493067883388[/C][C]0.0140967775711018[/C][/ROW]
[ROW][C]0.84[/C][C]1.4531566342033[/C][C]0.0142812003849116[/C][/ROW]
[ROW][C]0.85[/C][C]1.45716828484696[/C][C]0.0144040365871933[/C][/ROW]
[ROW][C]0.86[/C][C]1.46138124217017[/C][C]0.014541581681314[/C][/ROW]
[ROW][C]0.87[/C][C]1.4658868002655[/C][C]0.0148733197965767[/C][/ROW]
[ROW][C]0.88[/C][C]1.47085648635645[/C][C]0.0156819959109365[/C][/ROW]
[ROW][C]0.89[/C][C]1.4765582840243[/C][C]0.0173025102287844[/C][/ROW]
[ROW][C]0.9[/C][C]1.48333906230884[/C][C]0.0199824077286659[/C][/ROW]
[ROW][C]0.91[/C][C]1.49154736624494[/C][C]0.0236377988230441[/C][/ROW]
[ROW][C]0.92[/C][C]1.50138606258985[/C][C]0.0276164036480056[/C][/ROW]
[ROW][C]0.93[/C][C]1.51273389802583[/C][C]0.0306614833814962[/C][/ROW]
[ROW][C]0.94[/C][C]1.52504604605798[/C][C]0.0313012261137238[/C][/ROW]
[ROW][C]0.95[/C][C]1.53746523710456[/C][C]0.0287188524437325[/C][/ROW]
[ROW][C]0.96[/C][C]1.54914368282813[/C][C]0.0236196012352261[/C][/ROW]
[ROW][C]0.97[/C][C]1.55950706818111[/C][C]0.0180167954269335[/C][/ROW]
[ROW][C]0.98[/C][C]1.56810335778954[/C][C]0.0129433377889888[/C][/ROW]
[ROW][C]0.99[/C][C]1.57419164180016[/C][C]0.00707127174154804[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213153&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213153&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
0.011.197569870964320.00856765073193556
0.021.203700662276460.0100331366040116
0.031.210486636160150.0114392797629562
0.041.217161383584720.0123637202417394
0.051.223554510494390.0131630660466603
0.061.229698923995790.0140387929898016
0.071.235644356194660.0147733260939437
0.081.241376157079260.0150409839185371
0.091.246809237680510.0146966581828971
0.11.251832062132480.0138279975577435
0.111.256357642977520.0126518442375053
0.121.260350867409890.0113843847174956
0.131.263827868174920.0101749485396938
0.141.266839729842310.00909682094622501
0.151.269454403565450.00818211906842371
0.161.271744284690190.00744260968895267
0.171.273780282698960.00689142788491167
0.181.275629896380050.00654500492998764
0.191.277356564988210.00641198915227321
0.21.279018751301880.00648709469065584
0.211.280668442824710.00675165780075968
0.221.282349433902520.00716524897407201
0.231.284095876441770.00769312681508218
0.241.285931411476220.00828526567099002
0.251.287868964726170.00890145440122869
0.261.289911142748010.00949570273385943
0.271.292051125931720.0100314256497275
0.281.29427397752620.0104712837334176
0.291.296558317479280.0107928226207157
0.31.298878311852210.010976460511816
0.311.301205900952730.0110142149669797
0.321.303513151377330.0109146826048401
0.331.305774589810850.0106918849598766
0.341.307969368105370.0103721363178931
0.351.310083113925650.00999255543896077
0.361.312109327805130.00959016847155747
0.371.314050190859280.009213507434194
0.381.315916655238660.00891052069561651
0.391.317727718539690.00872472187768391
0.41.319508849522870.00868815853045707
0.411.321289638693710.00882359105248817
0.421.32310087798870.00912753538313161
0.431.324971397389120.00957609705903767
0.441.326925065551730.0101324107635211
0.451.328978367362050.0107426762845649
0.461.331138894019190.0113535383695028
0.471.333404935310240.0119184591609789
0.481.335766183873720.0123886115940915
0.491.338205391612060.012741585446893
0.51.340700698426450.012959876352774
0.511.343228305552510.0130415578486799
0.521.345765189110970.0129978926888952
0.531.34829162165850.012857983182979
0.541.350793355682560.0126489646633838
0.551.353263388930620.0124141348287364
0.561.355703256134970.0121967693928694
0.571.358123774622780.0120496350596871
0.581.360545132408530.0120238120013637
0.591.362996179045010.0121618296364716
0.61.365512793752110.0125035443142311
0.611.368135280523190.0130628485371565
0.621.370904872283090.0138332793273504
0.631.373859589666540.0147841134511475
0.641.377029854771380.015858533950224
0.651.380434366874870.0169804525934312
0.661.384076780217180.0180677736402992
0.671.387943679208140.019028801600986
0.681.392004237324390.0197839759155037
0.691.396211792576080.0202639307496869
0.71.400507388595550.0204151769729946
0.711.40482511819030.0202201104874442
0.721.409098862208810.0196944891849385
0.731.413269747929050.0188844752045627
0.741.417293391974410.0178736714362641
0.751.421145809563150.0167663529468966
0.761.424826851776520.0156854245957844
0.771.428360255255360.0147510984871042
0.781.431789892178270.0140581655106243
0.791.435172558837240.0136550468743508
0.81.43856851953180.0135371706031071
0.811.442031836246580.0136382832451791
0.821.445603042599210.0138589583429314
0.831.44930678833880.0140967775711018
0.841.45315663420330.0142812003849116
0.851.457168284846960.0144040365871933
0.861.461381242170170.014541581681314
0.871.46588680026550.0148733197965767
0.881.470856486356450.0156819959109365
0.891.47655828402430.0173025102287844
0.91.483339062308840.0199824077286659
0.911.491547366244940.0236377988230441
0.921.501386062589850.0276164036480056
0.931.512733898025830.0306614833814962
0.941.525046046057980.0313012261137238
0.951.537465237104560.0287188524437325
0.961.549143682828130.0236196012352261
0.971.559507068181110.0180167954269335
0.981.568103357789540.0129433377889888
0.991.574191641800160.00707127174154804



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')