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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 computationWed, 12 Oct 2011 14:42:59 -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/2011/Oct/12/t1318445100w43skz4enfg6tf7.htm/, Retrieved Fri, 10 May 2024 17:14:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128495, Retrieved Fri, 10 May 2024 17:14:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact90

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] [] [2011-10-12 18:42:59] [d06e8713ea83045a022ab0926c74dd0b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
14097,80
14776,80
16833,30
15385,50
15172,60
16858,90
14143,50
14731,80
16471,60
15214,00
17637,40
17972,40
16896,20
16698,00
19691,60
15930,70
17444,60
17699,40
15189,80
15672,70
17180,80
17664,90
17862,90
16162,30
17463,60
16772,10
19106,90
16721,30
18161,30
18509,90
17802,70
16409,90
17967,70
20286,60
19537,30
18021,90
20194,30
19049,60
20244,70
21473,30
19673,60
21053,20
20159,50
18203,60
21289,50
20432,30
17180,40
15816,80
15076,60
14531,60
15761,30
14345,50
13916,80
15496,80
14285,60
13597,30
16263,10
16773,30
15986,90
16842,60
15911,90
15782,90
18622,80
17422,50
16989,80
18990,50
16849,30
16511,30
18704,50
19111,10
19420,70
18985,10

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128495&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128495&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128495&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 time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0113693.8164773035275.163180074074
0.0213831.9479687466227.519336107222
0.0313965.2785087343196.120624070083
0.0414078.412028043187.91985540448
0.0514175.8911028544200.132509183998
0.0614266.6256735136225.075922389304
0.0714357.0255048215254.636393546732
0.0814449.9967728662282.649772525118
0.0914545.8550814801305.087023601458
0.114643.4358703469319.921955433854
0.1114740.9760188303326.880447205386
0.1214836.7308220659327.085728464476
0.1314929.3537817335322.611427621258
0.1415018.0671677393315.941304394201
0.1515102.6571588115309.253042338916
0.1615183.3427276929303.969800467136
0.1715260.5815295126300.47323445836
0.1815334.8784827616298.221541485656
0.1915406.6492671655296.235687655099
0.215476.1649569239293.673622641962
0.2115543.5742868118290.182625050397
0.2215608.97651797286.020424041812
0.2315672.5071500418282.006865287357
0.2415734.4019193007279.163311267118
0.2515795.0177813206278.418854250781
0.2615854.80658042280.301018677911
0.2715914.2518738871284.786658202596
0.2815973.7881621829291.233457128769
0.2916033.7236139936298.600100939707
0.316094.1835359783305.644796100415
0.3116155.084756148311.149487589442
0.3216216.1433209975314.066998801583
0.3316276.9114061145313.696912252353
0.3416336.8351604467309.676660524621
0.3516395.3235275029302.085968154456
0.3616451.8184647795291.282105141745
0.3716505.8586563069277.998399491683
0.3816557.1310052225263.140046380767
0.3916605.5063152363247.831413426148
0.416651.057315747233.222434648934
0.4116694.0585187892220.532077863692
0.4216734.9684611108210.787310172467
0.4316774.395883527204.957130334856
0.4416813.0524783671203.60710157927
0.4516851.6960112298206.867315283955
0.4616891.0687657332214.462285888033
0.4716931.8371300897225.590551335318
0.4816974.5384688642239.237279765826
0.4917019.5409862565254.165997616573
0.517067.0210106978269.184246688875
0.5117116.9601209381283.117648852141
0.5217169.162079452295.055452644625
0.5317223.287055729304.27353805538
0.5417278.8985585767310.485180015844
0.5517335.5172238753313.590040219157
0.5617392.6753190103313.897658833075
0.5717449.9664963518311.912184536141
0.5817507.0867035177308.332105985056
0.5917563.8638329955303.968380366971
0.617620.2752243043299.71228664817
0.6117676.4531644819296.432943178879
0.6217732.6789115974294.923769280432
0.6317789.3655884297295.874780230707
0.6417847.029890249299.781307150099
0.6517906.2523910606306.923334945675
0.6617967.6267723183317.24300721747
0.6718031.6998083108330.34477184195
0.6818098.9063694932345.401271266406
0.6918169.5066067182361.258854375729
0.718243.5350687364376.497556894625
0.7118320.7728080059389.639916769169
0.7218400.752629914399.28084152719
0.7318482.8039704018404.414193375643
0.7418566.1374989066404.515144217593
0.7518649.9612918927399.74594135572
0.7618733.6119751418391.013322118618
0.7718816.6778283528379.860811862615
0.7818899.0887373783368.306474810014
0.7918981.1515220841358.460501205056
0.819063.5183787151352.097394690715
0.8119147.0887324853350.282176611572
0.8219232.8570032763353.008114733045
0.8319321.727253719359.289463268283
0.8419414.3197920576367.344589105662
0.8519510.7983082699374.890376683917
0.8619610.7558817223379.369893885744
0.8719713.2186079455378.328327649021
0.8819816.8499457047369.819927895212
0.8919920.4420872648353.515379699369
0.920023.7203867811331.83726658775
0.9120128.3212307616311.309503321918
0.9220238.5320322146302.643660303804
0.9320361.1076819429316.757899122242
0.9420503.4602538103354.652757415853
0.9520670.1066008004399.909094087607
0.9620858.5237837996422.918033647254
0.9721056.6548200754395.903939049319
0.9821243.4908748537315.859477489462
0.9921391.6563158572224.225528077006

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 13693.8164773035 & 275.163180074074 \tabularnewline
0.02 & 13831.9479687466 & 227.519336107222 \tabularnewline
0.03 & 13965.2785087343 & 196.120624070083 \tabularnewline
0.04 & 14078.412028043 & 187.91985540448 \tabularnewline
0.05 & 14175.8911028544 & 200.132509183998 \tabularnewline
0.06 & 14266.6256735136 & 225.075922389304 \tabularnewline
0.07 & 14357.0255048215 & 254.636393546732 \tabularnewline
0.08 & 14449.9967728662 & 282.649772525118 \tabularnewline
0.09 & 14545.8550814801 & 305.087023601458 \tabularnewline
0.1 & 14643.4358703469 & 319.921955433854 \tabularnewline
0.11 & 14740.9760188303 & 326.880447205386 \tabularnewline
0.12 & 14836.7308220659 & 327.085728464476 \tabularnewline
0.13 & 14929.3537817335 & 322.611427621258 \tabularnewline
0.14 & 15018.0671677393 & 315.941304394201 \tabularnewline
0.15 & 15102.6571588115 & 309.253042338916 \tabularnewline
0.16 & 15183.3427276929 & 303.969800467136 \tabularnewline
0.17 & 15260.5815295126 & 300.47323445836 \tabularnewline
0.18 & 15334.8784827616 & 298.221541485656 \tabularnewline
0.19 & 15406.6492671655 & 296.235687655099 \tabularnewline
0.2 & 15476.1649569239 & 293.673622641962 \tabularnewline
0.21 & 15543.5742868118 & 290.182625050397 \tabularnewline
0.22 & 15608.97651797 & 286.020424041812 \tabularnewline
0.23 & 15672.5071500418 & 282.006865287357 \tabularnewline
0.24 & 15734.4019193007 & 279.163311267118 \tabularnewline
0.25 & 15795.0177813206 & 278.418854250781 \tabularnewline
0.26 & 15854.80658042 & 280.301018677911 \tabularnewline
0.27 & 15914.2518738871 & 284.786658202596 \tabularnewline
0.28 & 15973.7881621829 & 291.233457128769 \tabularnewline
0.29 & 16033.7236139936 & 298.600100939707 \tabularnewline
0.3 & 16094.1835359783 & 305.644796100415 \tabularnewline
0.31 & 16155.084756148 & 311.149487589442 \tabularnewline
0.32 & 16216.1433209975 & 314.066998801583 \tabularnewline
0.33 & 16276.9114061145 & 313.696912252353 \tabularnewline
0.34 & 16336.8351604467 & 309.676660524621 \tabularnewline
0.35 & 16395.3235275029 & 302.085968154456 \tabularnewline
0.36 & 16451.8184647795 & 291.282105141745 \tabularnewline
0.37 & 16505.8586563069 & 277.998399491683 \tabularnewline
0.38 & 16557.1310052225 & 263.140046380767 \tabularnewline
0.39 & 16605.5063152363 & 247.831413426148 \tabularnewline
0.4 & 16651.057315747 & 233.222434648934 \tabularnewline
0.41 & 16694.0585187892 & 220.532077863692 \tabularnewline
0.42 & 16734.9684611108 & 210.787310172467 \tabularnewline
0.43 & 16774.395883527 & 204.957130334856 \tabularnewline
0.44 & 16813.0524783671 & 203.60710157927 \tabularnewline
0.45 & 16851.6960112298 & 206.867315283955 \tabularnewline
0.46 & 16891.0687657332 & 214.462285888033 \tabularnewline
0.47 & 16931.8371300897 & 225.590551335318 \tabularnewline
0.48 & 16974.5384688642 & 239.237279765826 \tabularnewline
0.49 & 17019.5409862565 & 254.165997616573 \tabularnewline
0.5 & 17067.0210106978 & 269.184246688875 \tabularnewline
0.51 & 17116.9601209381 & 283.117648852141 \tabularnewline
0.52 & 17169.162079452 & 295.055452644625 \tabularnewline
0.53 & 17223.287055729 & 304.27353805538 \tabularnewline
0.54 & 17278.8985585767 & 310.485180015844 \tabularnewline
0.55 & 17335.5172238753 & 313.590040219157 \tabularnewline
0.56 & 17392.6753190103 & 313.897658833075 \tabularnewline
0.57 & 17449.9664963518 & 311.912184536141 \tabularnewline
0.58 & 17507.0867035177 & 308.332105985056 \tabularnewline
0.59 & 17563.8638329955 & 303.968380366971 \tabularnewline
0.6 & 17620.2752243043 & 299.71228664817 \tabularnewline
0.61 & 17676.4531644819 & 296.432943178879 \tabularnewline
0.62 & 17732.6789115974 & 294.923769280432 \tabularnewline
0.63 & 17789.3655884297 & 295.874780230707 \tabularnewline
0.64 & 17847.029890249 & 299.781307150099 \tabularnewline
0.65 & 17906.2523910606 & 306.923334945675 \tabularnewline
0.66 & 17967.6267723183 & 317.24300721747 \tabularnewline
0.67 & 18031.6998083108 & 330.34477184195 \tabularnewline
0.68 & 18098.9063694932 & 345.401271266406 \tabularnewline
0.69 & 18169.5066067182 & 361.258854375729 \tabularnewline
0.7 & 18243.5350687364 & 376.497556894625 \tabularnewline
0.71 & 18320.7728080059 & 389.639916769169 \tabularnewline
0.72 & 18400.752629914 & 399.28084152719 \tabularnewline
0.73 & 18482.8039704018 & 404.414193375643 \tabularnewline
0.74 & 18566.1374989066 & 404.515144217593 \tabularnewline
0.75 & 18649.9612918927 & 399.74594135572 \tabularnewline
0.76 & 18733.6119751418 & 391.013322118618 \tabularnewline
0.77 & 18816.6778283528 & 379.860811862615 \tabularnewline
0.78 & 18899.0887373783 & 368.306474810014 \tabularnewline
0.79 & 18981.1515220841 & 358.460501205056 \tabularnewline
0.8 & 19063.5183787151 & 352.097394690715 \tabularnewline
0.81 & 19147.0887324853 & 350.282176611572 \tabularnewline
0.82 & 19232.8570032763 & 353.008114733045 \tabularnewline
0.83 & 19321.727253719 & 359.289463268283 \tabularnewline
0.84 & 19414.3197920576 & 367.344589105662 \tabularnewline
0.85 & 19510.7983082699 & 374.890376683917 \tabularnewline
0.86 & 19610.7558817223 & 379.369893885744 \tabularnewline
0.87 & 19713.2186079455 & 378.328327649021 \tabularnewline
0.88 & 19816.8499457047 & 369.819927895212 \tabularnewline
0.89 & 19920.4420872648 & 353.515379699369 \tabularnewline
0.9 & 20023.7203867811 & 331.83726658775 \tabularnewline
0.91 & 20128.3212307616 & 311.309503321918 \tabularnewline
0.92 & 20238.5320322146 & 302.643660303804 \tabularnewline
0.93 & 20361.1076819429 & 316.757899122242 \tabularnewline
0.94 & 20503.4602538103 & 354.652757415853 \tabularnewline
0.95 & 20670.1066008004 & 399.909094087607 \tabularnewline
0.96 & 20858.5237837996 & 422.918033647254 \tabularnewline
0.97 & 21056.6548200754 & 395.903939049319 \tabularnewline
0.98 & 21243.4908748537 & 315.859477489462 \tabularnewline
0.99 & 21391.6563158572 & 224.225528077006 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128495&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]13693.8164773035[/C][C]275.163180074074[/C][/ROW]
[ROW][C]0.02[/C][C]13831.9479687466[/C][C]227.519336107222[/C][/ROW]
[ROW][C]0.03[/C][C]13965.2785087343[/C][C]196.120624070083[/C][/ROW]
[ROW][C]0.04[/C][C]14078.412028043[/C][C]187.91985540448[/C][/ROW]
[ROW][C]0.05[/C][C]14175.8911028544[/C][C]200.132509183998[/C][/ROW]
[ROW][C]0.06[/C][C]14266.6256735136[/C][C]225.075922389304[/C][/ROW]
[ROW][C]0.07[/C][C]14357.0255048215[/C][C]254.636393546732[/C][/ROW]
[ROW][C]0.08[/C][C]14449.9967728662[/C][C]282.649772525118[/C][/ROW]
[ROW][C]0.09[/C][C]14545.8550814801[/C][C]305.087023601458[/C][/ROW]
[ROW][C]0.1[/C][C]14643.4358703469[/C][C]319.921955433854[/C][/ROW]
[ROW][C]0.11[/C][C]14740.9760188303[/C][C]326.880447205386[/C][/ROW]
[ROW][C]0.12[/C][C]14836.7308220659[/C][C]327.085728464476[/C][/ROW]
[ROW][C]0.13[/C][C]14929.3537817335[/C][C]322.611427621258[/C][/ROW]
[ROW][C]0.14[/C][C]15018.0671677393[/C][C]315.941304394201[/C][/ROW]
[ROW][C]0.15[/C][C]15102.6571588115[/C][C]309.253042338916[/C][/ROW]
[ROW][C]0.16[/C][C]15183.3427276929[/C][C]303.969800467136[/C][/ROW]
[ROW][C]0.17[/C][C]15260.5815295126[/C][C]300.47323445836[/C][/ROW]
[ROW][C]0.18[/C][C]15334.8784827616[/C][C]298.221541485656[/C][/ROW]
[ROW][C]0.19[/C][C]15406.6492671655[/C][C]296.235687655099[/C][/ROW]
[ROW][C]0.2[/C][C]15476.1649569239[/C][C]293.673622641962[/C][/ROW]
[ROW][C]0.21[/C][C]15543.5742868118[/C][C]290.182625050397[/C][/ROW]
[ROW][C]0.22[/C][C]15608.97651797[/C][C]286.020424041812[/C][/ROW]
[ROW][C]0.23[/C][C]15672.5071500418[/C][C]282.006865287357[/C][/ROW]
[ROW][C]0.24[/C][C]15734.4019193007[/C][C]279.163311267118[/C][/ROW]
[ROW][C]0.25[/C][C]15795.0177813206[/C][C]278.418854250781[/C][/ROW]
[ROW][C]0.26[/C][C]15854.80658042[/C][C]280.301018677911[/C][/ROW]
[ROW][C]0.27[/C][C]15914.2518738871[/C][C]284.786658202596[/C][/ROW]
[ROW][C]0.28[/C][C]15973.7881621829[/C][C]291.233457128769[/C][/ROW]
[ROW][C]0.29[/C][C]16033.7236139936[/C][C]298.600100939707[/C][/ROW]
[ROW][C]0.3[/C][C]16094.1835359783[/C][C]305.644796100415[/C][/ROW]
[ROW][C]0.31[/C][C]16155.084756148[/C][C]311.149487589442[/C][/ROW]
[ROW][C]0.32[/C][C]16216.1433209975[/C][C]314.066998801583[/C][/ROW]
[ROW][C]0.33[/C][C]16276.9114061145[/C][C]313.696912252353[/C][/ROW]
[ROW][C]0.34[/C][C]16336.8351604467[/C][C]309.676660524621[/C][/ROW]
[ROW][C]0.35[/C][C]16395.3235275029[/C][C]302.085968154456[/C][/ROW]
[ROW][C]0.36[/C][C]16451.8184647795[/C][C]291.282105141745[/C][/ROW]
[ROW][C]0.37[/C][C]16505.8586563069[/C][C]277.998399491683[/C][/ROW]
[ROW][C]0.38[/C][C]16557.1310052225[/C][C]263.140046380767[/C][/ROW]
[ROW][C]0.39[/C][C]16605.5063152363[/C][C]247.831413426148[/C][/ROW]
[ROW][C]0.4[/C][C]16651.057315747[/C][C]233.222434648934[/C][/ROW]
[ROW][C]0.41[/C][C]16694.0585187892[/C][C]220.532077863692[/C][/ROW]
[ROW][C]0.42[/C][C]16734.9684611108[/C][C]210.787310172467[/C][/ROW]
[ROW][C]0.43[/C][C]16774.395883527[/C][C]204.957130334856[/C][/ROW]
[ROW][C]0.44[/C][C]16813.0524783671[/C][C]203.60710157927[/C][/ROW]
[ROW][C]0.45[/C][C]16851.6960112298[/C][C]206.867315283955[/C][/ROW]
[ROW][C]0.46[/C][C]16891.0687657332[/C][C]214.462285888033[/C][/ROW]
[ROW][C]0.47[/C][C]16931.8371300897[/C][C]225.590551335318[/C][/ROW]
[ROW][C]0.48[/C][C]16974.5384688642[/C][C]239.237279765826[/C][/ROW]
[ROW][C]0.49[/C][C]17019.5409862565[/C][C]254.165997616573[/C][/ROW]
[ROW][C]0.5[/C][C]17067.0210106978[/C][C]269.184246688875[/C][/ROW]
[ROW][C]0.51[/C][C]17116.9601209381[/C][C]283.117648852141[/C][/ROW]
[ROW][C]0.52[/C][C]17169.162079452[/C][C]295.055452644625[/C][/ROW]
[ROW][C]0.53[/C][C]17223.287055729[/C][C]304.27353805538[/C][/ROW]
[ROW][C]0.54[/C][C]17278.8985585767[/C][C]310.485180015844[/C][/ROW]
[ROW][C]0.55[/C][C]17335.5172238753[/C][C]313.590040219157[/C][/ROW]
[ROW][C]0.56[/C][C]17392.6753190103[/C][C]313.897658833075[/C][/ROW]
[ROW][C]0.57[/C][C]17449.9664963518[/C][C]311.912184536141[/C][/ROW]
[ROW][C]0.58[/C][C]17507.0867035177[/C][C]308.332105985056[/C][/ROW]
[ROW][C]0.59[/C][C]17563.8638329955[/C][C]303.968380366971[/C][/ROW]
[ROW][C]0.6[/C][C]17620.2752243043[/C][C]299.71228664817[/C][/ROW]
[ROW][C]0.61[/C][C]17676.4531644819[/C][C]296.432943178879[/C][/ROW]
[ROW][C]0.62[/C][C]17732.6789115974[/C][C]294.923769280432[/C][/ROW]
[ROW][C]0.63[/C][C]17789.3655884297[/C][C]295.874780230707[/C][/ROW]
[ROW][C]0.64[/C][C]17847.029890249[/C][C]299.781307150099[/C][/ROW]
[ROW][C]0.65[/C][C]17906.2523910606[/C][C]306.923334945675[/C][/ROW]
[ROW][C]0.66[/C][C]17967.6267723183[/C][C]317.24300721747[/C][/ROW]
[ROW][C]0.67[/C][C]18031.6998083108[/C][C]330.34477184195[/C][/ROW]
[ROW][C]0.68[/C][C]18098.9063694932[/C][C]345.401271266406[/C][/ROW]
[ROW][C]0.69[/C][C]18169.5066067182[/C][C]361.258854375729[/C][/ROW]
[ROW][C]0.7[/C][C]18243.5350687364[/C][C]376.497556894625[/C][/ROW]
[ROW][C]0.71[/C][C]18320.7728080059[/C][C]389.639916769169[/C][/ROW]
[ROW][C]0.72[/C][C]18400.752629914[/C][C]399.28084152719[/C][/ROW]
[ROW][C]0.73[/C][C]18482.8039704018[/C][C]404.414193375643[/C][/ROW]
[ROW][C]0.74[/C][C]18566.1374989066[/C][C]404.515144217593[/C][/ROW]
[ROW][C]0.75[/C][C]18649.9612918927[/C][C]399.74594135572[/C][/ROW]
[ROW][C]0.76[/C][C]18733.6119751418[/C][C]391.013322118618[/C][/ROW]
[ROW][C]0.77[/C][C]18816.6778283528[/C][C]379.860811862615[/C][/ROW]
[ROW][C]0.78[/C][C]18899.0887373783[/C][C]368.306474810014[/C][/ROW]
[ROW][C]0.79[/C][C]18981.1515220841[/C][C]358.460501205056[/C][/ROW]
[ROW][C]0.8[/C][C]19063.5183787151[/C][C]352.097394690715[/C][/ROW]
[ROW][C]0.81[/C][C]19147.0887324853[/C][C]350.282176611572[/C][/ROW]
[ROW][C]0.82[/C][C]19232.8570032763[/C][C]353.008114733045[/C][/ROW]
[ROW][C]0.83[/C][C]19321.727253719[/C][C]359.289463268283[/C][/ROW]
[ROW][C]0.84[/C][C]19414.3197920576[/C][C]367.344589105662[/C][/ROW]
[ROW][C]0.85[/C][C]19510.7983082699[/C][C]374.890376683917[/C][/ROW]
[ROW][C]0.86[/C][C]19610.7558817223[/C][C]379.369893885744[/C][/ROW]
[ROW][C]0.87[/C][C]19713.2186079455[/C][C]378.328327649021[/C][/ROW]
[ROW][C]0.88[/C][C]19816.8499457047[/C][C]369.819927895212[/C][/ROW]
[ROW][C]0.89[/C][C]19920.4420872648[/C][C]353.515379699369[/C][/ROW]
[ROW][C]0.9[/C][C]20023.7203867811[/C][C]331.83726658775[/C][/ROW]
[ROW][C]0.91[/C][C]20128.3212307616[/C][C]311.309503321918[/C][/ROW]
[ROW][C]0.92[/C][C]20238.5320322146[/C][C]302.643660303804[/C][/ROW]
[ROW][C]0.93[/C][C]20361.1076819429[/C][C]316.757899122242[/C][/ROW]
[ROW][C]0.94[/C][C]20503.4602538103[/C][C]354.652757415853[/C][/ROW]
[ROW][C]0.95[/C][C]20670.1066008004[/C][C]399.909094087607[/C][/ROW]
[ROW][C]0.96[/C][C]20858.5237837996[/C][C]422.918033647254[/C][/ROW]
[ROW][C]0.97[/C][C]21056.6548200754[/C][C]395.903939049319[/C][/ROW]
[ROW][C]0.98[/C][C]21243.4908748537[/C][C]315.859477489462[/C][/ROW]
[ROW][C]0.99[/C][C]21391.6563158572[/C][C]224.225528077006[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128495&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128495&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
0.0113693.8164773035275.163180074074
0.0213831.9479687466227.519336107222
0.0313965.2785087343196.120624070083
0.0414078.412028043187.91985540448
0.0514175.8911028544200.132509183998
0.0614266.6256735136225.075922389304
0.0714357.0255048215254.636393546732
0.0814449.9967728662282.649772525118
0.0914545.8550814801305.087023601458
0.114643.4358703469319.921955433854
0.1114740.9760188303326.880447205386
0.1214836.7308220659327.085728464476
0.1314929.3537817335322.611427621258
0.1415018.0671677393315.941304394201
0.1515102.6571588115309.253042338916
0.1615183.3427276929303.969800467136
0.1715260.5815295126300.47323445836
0.1815334.8784827616298.221541485656
0.1915406.6492671655296.235687655099
0.215476.1649569239293.673622641962
0.2115543.5742868118290.182625050397
0.2215608.97651797286.020424041812
0.2315672.5071500418282.006865287357
0.2415734.4019193007279.163311267118
0.2515795.0177813206278.418854250781
0.2615854.80658042280.301018677911
0.2715914.2518738871284.786658202596
0.2815973.7881621829291.233457128769
0.2916033.7236139936298.600100939707
0.316094.1835359783305.644796100415
0.3116155.084756148311.149487589442
0.3216216.1433209975314.066998801583
0.3316276.9114061145313.696912252353
0.3416336.8351604467309.676660524621
0.3516395.3235275029302.085968154456
0.3616451.8184647795291.282105141745
0.3716505.8586563069277.998399491683
0.3816557.1310052225263.140046380767
0.3916605.5063152363247.831413426148
0.416651.057315747233.222434648934
0.4116694.0585187892220.532077863692
0.4216734.9684611108210.787310172467
0.4316774.395883527204.957130334856
0.4416813.0524783671203.60710157927
0.4516851.6960112298206.867315283955
0.4616891.0687657332214.462285888033
0.4716931.8371300897225.590551335318
0.4816974.5384688642239.237279765826
0.4917019.5409862565254.165997616573
0.517067.0210106978269.184246688875
0.5117116.9601209381283.117648852141
0.5217169.162079452295.055452644625
0.5317223.287055729304.27353805538
0.5417278.8985585767310.485180015844
0.5517335.5172238753313.590040219157
0.5617392.6753190103313.897658833075
0.5717449.9664963518311.912184536141
0.5817507.0867035177308.332105985056
0.5917563.8638329955303.968380366971
0.617620.2752243043299.71228664817
0.6117676.4531644819296.432943178879
0.6217732.6789115974294.923769280432
0.6317789.3655884297295.874780230707
0.6417847.029890249299.781307150099
0.6517906.2523910606306.923334945675
0.6617967.6267723183317.24300721747
0.6718031.6998083108330.34477184195
0.6818098.9063694932345.401271266406
0.6918169.5066067182361.258854375729
0.718243.5350687364376.497556894625
0.7118320.7728080059389.639916769169
0.7218400.752629914399.28084152719
0.7318482.8039704018404.414193375643
0.7418566.1374989066404.515144217593
0.7518649.9612918927399.74594135572
0.7618733.6119751418391.013322118618
0.7718816.6778283528379.860811862615
0.7818899.0887373783368.306474810014
0.7918981.1515220841358.460501205056
0.819063.5183787151352.097394690715
0.8119147.0887324853350.282176611572
0.8219232.8570032763353.008114733045
0.8319321.727253719359.289463268283
0.8419414.3197920576367.344589105662
0.8519510.7983082699374.890376683917
0.8619610.7558817223379.369893885744
0.8719713.2186079455378.328327649021
0.8819816.8499457047369.819927895212
0.8919920.4420872648353.515379699369
0.920023.7203867811331.83726658775
0.9120128.3212307616311.309503321918
0.9220238.5320322146302.643660303804
0.9320361.1076819429316.757899122242
0.9420503.4602538103354.652757415853
0.9520670.1066008004399.909094087607
0.9620858.5237837996422.918033647254
0.9721056.6548200754395.903939049319
0.9821243.4908748537315.859477489462
0.9921391.6563158572224.225528077006


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):
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')