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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 08 Mar 2010 07:00:01 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Mar/08/t12680569327taich3gqqx9rc4.htm/, Retrieved Thu, 07 Jul 2022 14:09:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74136, Retrieved Thu, 07 Jul 2022 14:09:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact149
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Iko - Paper - Ish...] [2010-03-08 14:00:01] [032b0bef6ff10258e637998f9273e57a] [Current]
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Dataseries X:
121.67
121.65
121.61
121.5
121.41
121.41
121.4
121.38
121.34
121.19
120.96
120.96
120.96
120.9
120.86
120.73
120.53
120.53
120.53
120.52
120.51
120.43
120.29
120.27
120.27
120.24
120.21
120.06
119.86
119.85
119.85
119.83
119.71
119.57
119.2
119.13
119.13
119.09
118.9
118.54
118.12
118.11
118.1
118.08
117.91
117.63
117.28
117.2
117.17
117.14
116.96
116.34
115.99
115.99
115.97
115.92
115.63
115.31
115.13
115.09
115.07
115.01
114.64
113.86
113.34
113.33
113.32
113.26
113.2
112.61
112.28
112.16




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74136&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74136&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74136&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.01112.2316609235520.196721130887496
0.02112.3711353169000.317478066957312
0.03112.5541084809600.399094945948078
0.04112.7503625674730.415691292466787
0.05112.9369676014830.389491860032304
0.06113.1042657773650.362026830456424
0.07113.2551570505960.369815749155593
0.08113.3998531586950.423375821499386
0.09113.5495781590020.506807638805674
0.1113.7119305560190.59604831068231
0.11113.8889448327380.670317712607942
0.12114.0775514111460.716488392364817
0.13114.2714920707570.730017377109204
0.14114.4636574571220.714638843197443
0.15114.6480446370010.679626367189264
0.16114.8209021759010.636654556639499
0.17114.9809987587820.596469496069493
0.18115.1292195936880.566061980454972
0.19115.2678156207800.548764510514291
0.2115.3996138432790.543949625575913
0.21115.5273938720340.549121314986938
0.22115.6535092003900.56160229978577
0.23115.7797312512440.578883810036595
0.24115.9072427852060.598828679673638
0.25116.036702434960.61973014350972
0.26116.1683261785250.640076211385641
0.27116.3019632818450.657953576497523
0.28116.43716789050.672104724909137
0.29116.5732765546430.6814288937837
0.3116.7094984253610.685218850333238
0.31116.8450152410210.68413457744013
0.32116.9790795456810.678708736179421
0.33117.1110962610080.670417256424385
0.34117.2406755212670.660523759061074
0.35117.3676514284150.650351130535392
0.36117.4920687827270.641010228551888
0.37117.6141451623800.633249773409873
0.38117.7342178140490.627504369305357
0.39117.8526841471240.623844991275812
0.4117.969942600330.622155319808752
0.41118.0863386844520.622175132860407
0.42118.2021198442590.62289025507819
0.43118.3174023299860.623748823883123
0.44118.4321528806390.623538014202382
0.45118.5461870305560.621376808496015
0.46118.6591840085240.616565755212399
0.47118.7707158288190.608513176409133
0.48118.8802859963600.596969066569714
0.49118.9873720070920.582156326051759
0.5119.0914659208440.564416943833685
0.51119.1921085988480.543939563362138
0.52119.2889151746570.521645173581226
0.53119.3815912458660.497657622921584
0.54119.4699405769070.472686583501539
0.55119.5538656079860.447328078967824
0.56119.6333619799250.422172327837468
0.57119.7085080351970.397563011855664
0.58119.7794502310280.373835560003194
0.59119.8463857478950.351295175507499
0.6119.9095441449810.330281276165909
0.61119.9691703631510.310730233702493
0.62120.0255113827570.292455999348552
0.63120.0788082871670.275488215117168
0.64120.1292945101590.259689841221613
0.65120.1771999801180.244953701694599
0.66120.2227600268200.231352942926619
0.67120.2662274038470.219050047070722
0.68120.3078854688150.208142303585916
0.69120.3480601922270.198990392789633
0.7120.3871280862570.191660725931396
0.71120.4255165542200.186535262218783
0.72120.4636931551900.183834612209966
0.73120.5021416240300.183672970314023
0.74120.5413256552600.185868246192021
0.75120.5816461001220.189928557976596
0.76120.6234018882060.195132495302934
0.77120.6667673454970.200475389122143
0.78120.7117962906440.205192720595424
0.79120.7584552474900.208680043220161
0.8120.8066756620670.211026512764732
0.81120.8564024187360.212369442074637
0.82120.9076095201920.213474544060488
0.83120.9602595242340.214654354165043
0.84121.0142036259250.215641107590161
0.85121.0690501297760.215259806348358
0.86121.1240593927430.2116863675209
0.87121.1781377688490.203153273061343
0.88121.2299880088450.188610075325985
0.89121.2784241294190.168574330883864
0.9121.3227838084650.145400610483098
0.91121.3632937120050.122826975617747
0.92121.4011957829690.105446102474129
0.93121.4384627413580.0967575351892836
0.94121.4770517410270.0962030774916107
0.95121.5178732815760.0981047307672413
0.96121.5599222919600.0948242274291312
0.97121.6001372000810.0809268953445184
0.98121.6342575759050.0571382301711153
0.99121.6582862166500.0323053825364184

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 112.231660923552 & 0.196721130887496 \tabularnewline
0.02 & 112.371135316900 & 0.317478066957312 \tabularnewline
0.03 & 112.554108480960 & 0.399094945948078 \tabularnewline
0.04 & 112.750362567473 & 0.415691292466787 \tabularnewline
0.05 & 112.936967601483 & 0.389491860032304 \tabularnewline
0.06 & 113.104265777365 & 0.362026830456424 \tabularnewline
0.07 & 113.255157050596 & 0.369815749155593 \tabularnewline
0.08 & 113.399853158695 & 0.423375821499386 \tabularnewline
0.09 & 113.549578159002 & 0.506807638805674 \tabularnewline
0.1 & 113.711930556019 & 0.59604831068231 \tabularnewline
0.11 & 113.888944832738 & 0.670317712607942 \tabularnewline
0.12 & 114.077551411146 & 0.716488392364817 \tabularnewline
0.13 & 114.271492070757 & 0.730017377109204 \tabularnewline
0.14 & 114.463657457122 & 0.714638843197443 \tabularnewline
0.15 & 114.648044637001 & 0.679626367189264 \tabularnewline
0.16 & 114.820902175901 & 0.636654556639499 \tabularnewline
0.17 & 114.980998758782 & 0.596469496069493 \tabularnewline
0.18 & 115.129219593688 & 0.566061980454972 \tabularnewline
0.19 & 115.267815620780 & 0.548764510514291 \tabularnewline
0.2 & 115.399613843279 & 0.543949625575913 \tabularnewline
0.21 & 115.527393872034 & 0.549121314986938 \tabularnewline
0.22 & 115.653509200390 & 0.56160229978577 \tabularnewline
0.23 & 115.779731251244 & 0.578883810036595 \tabularnewline
0.24 & 115.907242785206 & 0.598828679673638 \tabularnewline
0.25 & 116.03670243496 & 0.61973014350972 \tabularnewline
0.26 & 116.168326178525 & 0.640076211385641 \tabularnewline
0.27 & 116.301963281845 & 0.657953576497523 \tabularnewline
0.28 & 116.4371678905 & 0.672104724909137 \tabularnewline
0.29 & 116.573276554643 & 0.6814288937837 \tabularnewline
0.3 & 116.709498425361 & 0.685218850333238 \tabularnewline
0.31 & 116.845015241021 & 0.68413457744013 \tabularnewline
0.32 & 116.979079545681 & 0.678708736179421 \tabularnewline
0.33 & 117.111096261008 & 0.670417256424385 \tabularnewline
0.34 & 117.240675521267 & 0.660523759061074 \tabularnewline
0.35 & 117.367651428415 & 0.650351130535392 \tabularnewline
0.36 & 117.492068782727 & 0.641010228551888 \tabularnewline
0.37 & 117.614145162380 & 0.633249773409873 \tabularnewline
0.38 & 117.734217814049 & 0.627504369305357 \tabularnewline
0.39 & 117.852684147124 & 0.623844991275812 \tabularnewline
0.4 & 117.96994260033 & 0.622155319808752 \tabularnewline
0.41 & 118.086338684452 & 0.622175132860407 \tabularnewline
0.42 & 118.202119844259 & 0.62289025507819 \tabularnewline
0.43 & 118.317402329986 & 0.623748823883123 \tabularnewline
0.44 & 118.432152880639 & 0.623538014202382 \tabularnewline
0.45 & 118.546187030556 & 0.621376808496015 \tabularnewline
0.46 & 118.659184008524 & 0.616565755212399 \tabularnewline
0.47 & 118.770715828819 & 0.608513176409133 \tabularnewline
0.48 & 118.880285996360 & 0.596969066569714 \tabularnewline
0.49 & 118.987372007092 & 0.582156326051759 \tabularnewline
0.5 & 119.091465920844 & 0.564416943833685 \tabularnewline
0.51 & 119.192108598848 & 0.543939563362138 \tabularnewline
0.52 & 119.288915174657 & 0.521645173581226 \tabularnewline
0.53 & 119.381591245866 & 0.497657622921584 \tabularnewline
0.54 & 119.469940576907 & 0.472686583501539 \tabularnewline
0.55 & 119.553865607986 & 0.447328078967824 \tabularnewline
0.56 & 119.633361979925 & 0.422172327837468 \tabularnewline
0.57 & 119.708508035197 & 0.397563011855664 \tabularnewline
0.58 & 119.779450231028 & 0.373835560003194 \tabularnewline
0.59 & 119.846385747895 & 0.351295175507499 \tabularnewline
0.6 & 119.909544144981 & 0.330281276165909 \tabularnewline
0.61 & 119.969170363151 & 0.310730233702493 \tabularnewline
0.62 & 120.025511382757 & 0.292455999348552 \tabularnewline
0.63 & 120.078808287167 & 0.275488215117168 \tabularnewline
0.64 & 120.129294510159 & 0.259689841221613 \tabularnewline
0.65 & 120.177199980118 & 0.244953701694599 \tabularnewline
0.66 & 120.222760026820 & 0.231352942926619 \tabularnewline
0.67 & 120.266227403847 & 0.219050047070722 \tabularnewline
0.68 & 120.307885468815 & 0.208142303585916 \tabularnewline
0.69 & 120.348060192227 & 0.198990392789633 \tabularnewline
0.7 & 120.387128086257 & 0.191660725931396 \tabularnewline
0.71 & 120.425516554220 & 0.186535262218783 \tabularnewline
0.72 & 120.463693155190 & 0.183834612209966 \tabularnewline
0.73 & 120.502141624030 & 0.183672970314023 \tabularnewline
0.74 & 120.541325655260 & 0.185868246192021 \tabularnewline
0.75 & 120.581646100122 & 0.189928557976596 \tabularnewline
0.76 & 120.623401888206 & 0.195132495302934 \tabularnewline
0.77 & 120.666767345497 & 0.200475389122143 \tabularnewline
0.78 & 120.711796290644 & 0.205192720595424 \tabularnewline
0.79 & 120.758455247490 & 0.208680043220161 \tabularnewline
0.8 & 120.806675662067 & 0.211026512764732 \tabularnewline
0.81 & 120.856402418736 & 0.212369442074637 \tabularnewline
0.82 & 120.907609520192 & 0.213474544060488 \tabularnewline
0.83 & 120.960259524234 & 0.214654354165043 \tabularnewline
0.84 & 121.014203625925 & 0.215641107590161 \tabularnewline
0.85 & 121.069050129776 & 0.215259806348358 \tabularnewline
0.86 & 121.124059392743 & 0.2116863675209 \tabularnewline
0.87 & 121.178137768849 & 0.203153273061343 \tabularnewline
0.88 & 121.229988008845 & 0.188610075325985 \tabularnewline
0.89 & 121.278424129419 & 0.168574330883864 \tabularnewline
0.9 & 121.322783808465 & 0.145400610483098 \tabularnewline
0.91 & 121.363293712005 & 0.122826975617747 \tabularnewline
0.92 & 121.401195782969 & 0.105446102474129 \tabularnewline
0.93 & 121.438462741358 & 0.0967575351892836 \tabularnewline
0.94 & 121.477051741027 & 0.0962030774916107 \tabularnewline
0.95 & 121.517873281576 & 0.0981047307672413 \tabularnewline
0.96 & 121.559922291960 & 0.0948242274291312 \tabularnewline
0.97 & 121.600137200081 & 0.0809268953445184 \tabularnewline
0.98 & 121.634257575905 & 0.0571382301711153 \tabularnewline
0.99 & 121.658286216650 & 0.0323053825364184 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74136&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]112.231660923552[/C][C]0.196721130887496[/C][/ROW]
[ROW][C]0.02[/C][C]112.371135316900[/C][C]0.317478066957312[/C][/ROW]
[ROW][C]0.03[/C][C]112.554108480960[/C][C]0.399094945948078[/C][/ROW]
[ROW][C]0.04[/C][C]112.750362567473[/C][C]0.415691292466787[/C][/ROW]
[ROW][C]0.05[/C][C]112.936967601483[/C][C]0.389491860032304[/C][/ROW]
[ROW][C]0.06[/C][C]113.104265777365[/C][C]0.362026830456424[/C][/ROW]
[ROW][C]0.07[/C][C]113.255157050596[/C][C]0.369815749155593[/C][/ROW]
[ROW][C]0.08[/C][C]113.399853158695[/C][C]0.423375821499386[/C][/ROW]
[ROW][C]0.09[/C][C]113.549578159002[/C][C]0.506807638805674[/C][/ROW]
[ROW][C]0.1[/C][C]113.711930556019[/C][C]0.59604831068231[/C][/ROW]
[ROW][C]0.11[/C][C]113.888944832738[/C][C]0.670317712607942[/C][/ROW]
[ROW][C]0.12[/C][C]114.077551411146[/C][C]0.716488392364817[/C][/ROW]
[ROW][C]0.13[/C][C]114.271492070757[/C][C]0.730017377109204[/C][/ROW]
[ROW][C]0.14[/C][C]114.463657457122[/C][C]0.714638843197443[/C][/ROW]
[ROW][C]0.15[/C][C]114.648044637001[/C][C]0.679626367189264[/C][/ROW]
[ROW][C]0.16[/C][C]114.820902175901[/C][C]0.636654556639499[/C][/ROW]
[ROW][C]0.17[/C][C]114.980998758782[/C][C]0.596469496069493[/C][/ROW]
[ROW][C]0.18[/C][C]115.129219593688[/C][C]0.566061980454972[/C][/ROW]
[ROW][C]0.19[/C][C]115.267815620780[/C][C]0.548764510514291[/C][/ROW]
[ROW][C]0.2[/C][C]115.399613843279[/C][C]0.543949625575913[/C][/ROW]
[ROW][C]0.21[/C][C]115.527393872034[/C][C]0.549121314986938[/C][/ROW]
[ROW][C]0.22[/C][C]115.653509200390[/C][C]0.56160229978577[/C][/ROW]
[ROW][C]0.23[/C][C]115.779731251244[/C][C]0.578883810036595[/C][/ROW]
[ROW][C]0.24[/C][C]115.907242785206[/C][C]0.598828679673638[/C][/ROW]
[ROW][C]0.25[/C][C]116.03670243496[/C][C]0.61973014350972[/C][/ROW]
[ROW][C]0.26[/C][C]116.168326178525[/C][C]0.640076211385641[/C][/ROW]
[ROW][C]0.27[/C][C]116.301963281845[/C][C]0.657953576497523[/C][/ROW]
[ROW][C]0.28[/C][C]116.4371678905[/C][C]0.672104724909137[/C][/ROW]
[ROW][C]0.29[/C][C]116.573276554643[/C][C]0.6814288937837[/C][/ROW]
[ROW][C]0.3[/C][C]116.709498425361[/C][C]0.685218850333238[/C][/ROW]
[ROW][C]0.31[/C][C]116.845015241021[/C][C]0.68413457744013[/C][/ROW]
[ROW][C]0.32[/C][C]116.979079545681[/C][C]0.678708736179421[/C][/ROW]
[ROW][C]0.33[/C][C]117.111096261008[/C][C]0.670417256424385[/C][/ROW]
[ROW][C]0.34[/C][C]117.240675521267[/C][C]0.660523759061074[/C][/ROW]
[ROW][C]0.35[/C][C]117.367651428415[/C][C]0.650351130535392[/C][/ROW]
[ROW][C]0.36[/C][C]117.492068782727[/C][C]0.641010228551888[/C][/ROW]
[ROW][C]0.37[/C][C]117.614145162380[/C][C]0.633249773409873[/C][/ROW]
[ROW][C]0.38[/C][C]117.734217814049[/C][C]0.627504369305357[/C][/ROW]
[ROW][C]0.39[/C][C]117.852684147124[/C][C]0.623844991275812[/C][/ROW]
[ROW][C]0.4[/C][C]117.96994260033[/C][C]0.622155319808752[/C][/ROW]
[ROW][C]0.41[/C][C]118.086338684452[/C][C]0.622175132860407[/C][/ROW]
[ROW][C]0.42[/C][C]118.202119844259[/C][C]0.62289025507819[/C][/ROW]
[ROW][C]0.43[/C][C]118.317402329986[/C][C]0.623748823883123[/C][/ROW]
[ROW][C]0.44[/C][C]118.432152880639[/C][C]0.623538014202382[/C][/ROW]
[ROW][C]0.45[/C][C]118.546187030556[/C][C]0.621376808496015[/C][/ROW]
[ROW][C]0.46[/C][C]118.659184008524[/C][C]0.616565755212399[/C][/ROW]
[ROW][C]0.47[/C][C]118.770715828819[/C][C]0.608513176409133[/C][/ROW]
[ROW][C]0.48[/C][C]118.880285996360[/C][C]0.596969066569714[/C][/ROW]
[ROW][C]0.49[/C][C]118.987372007092[/C][C]0.582156326051759[/C][/ROW]
[ROW][C]0.5[/C][C]119.091465920844[/C][C]0.564416943833685[/C][/ROW]
[ROW][C]0.51[/C][C]119.192108598848[/C][C]0.543939563362138[/C][/ROW]
[ROW][C]0.52[/C][C]119.288915174657[/C][C]0.521645173581226[/C][/ROW]
[ROW][C]0.53[/C][C]119.381591245866[/C][C]0.497657622921584[/C][/ROW]
[ROW][C]0.54[/C][C]119.469940576907[/C][C]0.472686583501539[/C][/ROW]
[ROW][C]0.55[/C][C]119.553865607986[/C][C]0.447328078967824[/C][/ROW]
[ROW][C]0.56[/C][C]119.633361979925[/C][C]0.422172327837468[/C][/ROW]
[ROW][C]0.57[/C][C]119.708508035197[/C][C]0.397563011855664[/C][/ROW]
[ROW][C]0.58[/C][C]119.779450231028[/C][C]0.373835560003194[/C][/ROW]
[ROW][C]0.59[/C][C]119.846385747895[/C][C]0.351295175507499[/C][/ROW]
[ROW][C]0.6[/C][C]119.909544144981[/C][C]0.330281276165909[/C][/ROW]
[ROW][C]0.61[/C][C]119.969170363151[/C][C]0.310730233702493[/C][/ROW]
[ROW][C]0.62[/C][C]120.025511382757[/C][C]0.292455999348552[/C][/ROW]
[ROW][C]0.63[/C][C]120.078808287167[/C][C]0.275488215117168[/C][/ROW]
[ROW][C]0.64[/C][C]120.129294510159[/C][C]0.259689841221613[/C][/ROW]
[ROW][C]0.65[/C][C]120.177199980118[/C][C]0.244953701694599[/C][/ROW]
[ROW][C]0.66[/C][C]120.222760026820[/C][C]0.231352942926619[/C][/ROW]
[ROW][C]0.67[/C][C]120.266227403847[/C][C]0.219050047070722[/C][/ROW]
[ROW][C]0.68[/C][C]120.307885468815[/C][C]0.208142303585916[/C][/ROW]
[ROW][C]0.69[/C][C]120.348060192227[/C][C]0.198990392789633[/C][/ROW]
[ROW][C]0.7[/C][C]120.387128086257[/C][C]0.191660725931396[/C][/ROW]
[ROW][C]0.71[/C][C]120.425516554220[/C][C]0.186535262218783[/C][/ROW]
[ROW][C]0.72[/C][C]120.463693155190[/C][C]0.183834612209966[/C][/ROW]
[ROW][C]0.73[/C][C]120.502141624030[/C][C]0.183672970314023[/C][/ROW]
[ROW][C]0.74[/C][C]120.541325655260[/C][C]0.185868246192021[/C][/ROW]
[ROW][C]0.75[/C][C]120.581646100122[/C][C]0.189928557976596[/C][/ROW]
[ROW][C]0.76[/C][C]120.623401888206[/C][C]0.195132495302934[/C][/ROW]
[ROW][C]0.77[/C][C]120.666767345497[/C][C]0.200475389122143[/C][/ROW]
[ROW][C]0.78[/C][C]120.711796290644[/C][C]0.205192720595424[/C][/ROW]
[ROW][C]0.79[/C][C]120.758455247490[/C][C]0.208680043220161[/C][/ROW]
[ROW][C]0.8[/C][C]120.806675662067[/C][C]0.211026512764732[/C][/ROW]
[ROW][C]0.81[/C][C]120.856402418736[/C][C]0.212369442074637[/C][/ROW]
[ROW][C]0.82[/C][C]120.907609520192[/C][C]0.213474544060488[/C][/ROW]
[ROW][C]0.83[/C][C]120.960259524234[/C][C]0.214654354165043[/C][/ROW]
[ROW][C]0.84[/C][C]121.014203625925[/C][C]0.215641107590161[/C][/ROW]
[ROW][C]0.85[/C][C]121.069050129776[/C][C]0.215259806348358[/C][/ROW]
[ROW][C]0.86[/C][C]121.124059392743[/C][C]0.2116863675209[/C][/ROW]
[ROW][C]0.87[/C][C]121.178137768849[/C][C]0.203153273061343[/C][/ROW]
[ROW][C]0.88[/C][C]121.229988008845[/C][C]0.188610075325985[/C][/ROW]
[ROW][C]0.89[/C][C]121.278424129419[/C][C]0.168574330883864[/C][/ROW]
[ROW][C]0.9[/C][C]121.322783808465[/C][C]0.145400610483098[/C][/ROW]
[ROW][C]0.91[/C][C]121.363293712005[/C][C]0.122826975617747[/C][/ROW]
[ROW][C]0.92[/C][C]121.401195782969[/C][C]0.105446102474129[/C][/ROW]
[ROW][C]0.93[/C][C]121.438462741358[/C][C]0.0967575351892836[/C][/ROW]
[ROW][C]0.94[/C][C]121.477051741027[/C][C]0.0962030774916107[/C][/ROW]
[ROW][C]0.95[/C][C]121.517873281576[/C][C]0.0981047307672413[/C][/ROW]
[ROW][C]0.96[/C][C]121.559922291960[/C][C]0.0948242274291312[/C][/ROW]
[ROW][C]0.97[/C][C]121.600137200081[/C][C]0.0809268953445184[/C][/ROW]
[ROW][C]0.98[/C][C]121.634257575905[/C][C]0.0571382301711153[/C][/ROW]
[ROW][C]0.99[/C][C]121.658286216650[/C][C]0.0323053825364184[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74136&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74136&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
0.01112.2316609235520.196721130887496
0.02112.3711353169000.317478066957312
0.03112.5541084809600.399094945948078
0.04112.7503625674730.415691292466787
0.05112.9369676014830.389491860032304
0.06113.1042657773650.362026830456424
0.07113.2551570505960.369815749155593
0.08113.3998531586950.423375821499386
0.09113.5495781590020.506807638805674
0.1113.7119305560190.59604831068231
0.11113.8889448327380.670317712607942
0.12114.0775514111460.716488392364817
0.13114.2714920707570.730017377109204
0.14114.4636574571220.714638843197443
0.15114.6480446370010.679626367189264
0.16114.8209021759010.636654556639499
0.17114.9809987587820.596469496069493
0.18115.1292195936880.566061980454972
0.19115.2678156207800.548764510514291
0.2115.3996138432790.543949625575913
0.21115.5273938720340.549121314986938
0.22115.6535092003900.56160229978577
0.23115.7797312512440.578883810036595
0.24115.9072427852060.598828679673638
0.25116.036702434960.61973014350972
0.26116.1683261785250.640076211385641
0.27116.3019632818450.657953576497523
0.28116.43716789050.672104724909137
0.29116.5732765546430.6814288937837
0.3116.7094984253610.685218850333238
0.31116.8450152410210.68413457744013
0.32116.9790795456810.678708736179421
0.33117.1110962610080.670417256424385
0.34117.2406755212670.660523759061074
0.35117.3676514284150.650351130535392
0.36117.4920687827270.641010228551888
0.37117.6141451623800.633249773409873
0.38117.7342178140490.627504369305357
0.39117.8526841471240.623844991275812
0.4117.969942600330.622155319808752
0.41118.0863386844520.622175132860407
0.42118.2021198442590.62289025507819
0.43118.3174023299860.623748823883123
0.44118.4321528806390.623538014202382
0.45118.5461870305560.621376808496015
0.46118.6591840085240.616565755212399
0.47118.7707158288190.608513176409133
0.48118.8802859963600.596969066569714
0.49118.9873720070920.582156326051759
0.5119.0914659208440.564416943833685
0.51119.1921085988480.543939563362138
0.52119.2889151746570.521645173581226
0.53119.3815912458660.497657622921584
0.54119.4699405769070.472686583501539
0.55119.5538656079860.447328078967824
0.56119.6333619799250.422172327837468
0.57119.7085080351970.397563011855664
0.58119.7794502310280.373835560003194
0.59119.8463857478950.351295175507499
0.6119.9095441449810.330281276165909
0.61119.9691703631510.310730233702493
0.62120.0255113827570.292455999348552
0.63120.0788082871670.275488215117168
0.64120.1292945101590.259689841221613
0.65120.1771999801180.244953701694599
0.66120.2227600268200.231352942926619
0.67120.2662274038470.219050047070722
0.68120.3078854688150.208142303585916
0.69120.3480601922270.198990392789633
0.7120.3871280862570.191660725931396
0.71120.4255165542200.186535262218783
0.72120.4636931551900.183834612209966
0.73120.5021416240300.183672970314023
0.74120.5413256552600.185868246192021
0.75120.5816461001220.189928557976596
0.76120.6234018882060.195132495302934
0.77120.6667673454970.200475389122143
0.78120.7117962906440.205192720595424
0.79120.7584552474900.208680043220161
0.8120.8066756620670.211026512764732
0.81120.8564024187360.212369442074637
0.82120.9076095201920.213474544060488
0.83120.9602595242340.214654354165043
0.84121.0142036259250.215641107590161
0.85121.0690501297760.215259806348358
0.86121.1240593927430.2116863675209
0.87121.1781377688490.203153273061343
0.88121.2299880088450.188610075325985
0.89121.2784241294190.168574330883864
0.9121.3227838084650.145400610483098
0.91121.3632937120050.122826975617747
0.92121.4011957829690.105446102474129
0.93121.4384627413580.0967575351892836
0.94121.4770517410270.0962030774916107
0.95121.5178732815760.0981047307672413
0.96121.5599222919600.0948242274291312
0.97121.6001372000810.0809268953445184
0.98121.6342575759050.0571382301711153
0.99121.6582862166500.0323053825364184



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')