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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 computationFri, 05 Oct 2012 07:42:38 -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/2012/Oct/05/t1349437399c0t2rmwt2phbuh6.htm/, Retrieved Thu, 02 May 2024 17:24:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=172244, Retrieved Thu, 02 May 2024 17:24:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact125

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] [gemiddelde consum...] [2012-10-05 11:42:38] [dea6f921e04cc33dad49f75b9d343660] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
106,68
109,73
108,06
111,33
105,66
103,65
100,34
100,56
102,67
101,5
102,35
104,98
106,31
103,73
106,62
108,54
105,12
105,29
104,62
104,34
108,23
107,6
106,87
107,96
108,34
109,04
106,95
105,59
108,08
108,48
106,84
105,6
106,9
106,84
106,81
106,98
107,53
107,37
106,98
108,94
106,38
109,02
106,53
105,02
109,7
108,39
110,18
109,54
109,1
110,85
112,23
110,58
110,77
108,08
108,05
108,87
109,61
111,27
107,61
110,98
106,63
106,83
108,77
106,12
106,8
106,34
105,16
107,97
106,76
108,78
105,58
109,22

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=172244&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=172244&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=172244&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
0.01100.4960547688980.429205592965436
0.02100.808033893820.722115229074695
0.03101.2277038300660.924027351855529
0.04101.6934842776991.01179323384836
0.05102.1580776812281.02808368282258
0.06102.5951461056681.01088794344587
0.07102.9943290970050.976531474110164
0.08103.3536853711020.929135794179577
0.09103.6743862185010.870305935068329
0.1103.9583634658910.802643395777787
0.11104.2077799716990.729823388501806
0.12104.4251661692330.65592888653902
0.13104.6136069951630.585349047816657
0.14104.7767772636780.522775377553742
0.15104.9188087263860.471574581333522
0.16105.0440350299250.434063839295256
0.17105.156682815850.410357989573594
0.18105.2605798396620.399149776939059
0.19105.358934455980.397654763965099
0.2105.4542114351110.402988910738586
0.21105.5481003279130.412039165478365
0.22105.6415554360450.42191646381039
0.23105.7348831856930.430155834733962
0.24105.8278582374030.434874072198997
0.25105.9198566673980.434317154233078
0.26106.0099981400120.427858170284354
0.27106.097288434490.415316756011887
0.28106.180751363810.397429869584016
0.29106.2595381511620.374899695529736
0.3106.3330045828060.349185098841571
0.31106.4007515755770.321878845678276
0.32106.4626314408460.293999421642261
0.33106.5187278625410.266985378801674
0.34106.5693207643140.241482536489278
0.35106.6148472642990.218312311448757
0.36106.655867330180.197949972372118
0.37106.693038727410.180694444956888
0.38106.7271016883170.167319143512177
0.39106.7588704147040.158236319203331
0.4106.7892265868220.153913310987756
0.41106.819109571650.155150565365134
0.42106.8494987904490.162123830225144
0.43106.8813853700560.174806934648835
0.44106.9157323914050.19299409286999
0.45106.9534254162680.215849169874235
0.46106.9952172027350.242502037030377
0.47107.0416723142220.271345459454695
0.48107.0931184114050.301110912726242
0.49107.1496111710150.329935556219994
0.5107.2109188836210.356421310934924
0.51107.2765308808810.378922367358252
0.52107.3456912423440.395976989465311
0.53107.4174560987170.407124523103713
0.54107.4907697425530.41178150167333
0.55107.5645521479350.410037950716852
0.56107.6377887831050.402534305128858
0.57107.7096130332950.390408729064346
0.58107.7793722291770.374981850098562
0.59107.8466701255040.357748802928755
0.6107.9113814690270.340536149320742
0.61107.9736376824430.32483399220513
0.62108.0337862283030.311683570793429
0.63108.092329421150.302029160816273
0.64108.1498508784410.2959312670256
0.65108.2069391096760.29329813746347
0.66108.2641177960630.293469877006909
0.67108.3217911857360.295416435884416
0.68108.3802109802810.298230280199087
0.69108.439468464180.30076878905169
0.7108.4995127474210.302306222497812
0.71108.5601930545970.302270579726842
0.72108.6213200854170.300599933216606
0.73108.6827386611460.297528951939018
0.74108.7444013941250.293754718594748
0.75108.8064315416250.290176119776361
0.76108.8691634589220.288179746270755
0.77108.9331521882820.288811617514563
0.78108.9991502720950.293024355921551
0.79109.0680591209770.301319587692673
0.8109.1408714617110.313550766815515
0.81109.2186258201210.329061747635783
0.82109.3023883727990.347403328684846
0.83109.3932589918250.368133288647367
0.84109.4923704083140.39141460563134
0.85109.600824601870.417195867595306
0.86109.7195085119810.445085923101718
0.87109.8487704536980.472833921435019
0.88109.9880219072290.496181052646164
0.89110.1354292821340.509278217334092
0.9110.2879176385580.506769997006283
0.91110.441657630950.485918793046311
0.92110.5930376646730.448630860076634
0.93110.7399608110280.401850111591615
0.94110.8834225244190.355314682908638
0.95111.0298388533240.31872118009678
0.96111.1945317981490.304253559024677
0.97111.4030542638080.342503536797973
0.98111.6774626524490.478199465429576
0.99111.9922195332270.698261063288811

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 100.496054768898 & 0.429205592965436 \tabularnewline
0.02 & 100.80803389382 & 0.722115229074695 \tabularnewline
0.03 & 101.227703830066 & 0.924027351855529 \tabularnewline
0.04 & 101.693484277699 & 1.01179323384836 \tabularnewline
0.05 & 102.158077681228 & 1.02808368282258 \tabularnewline
0.06 & 102.595146105668 & 1.01088794344587 \tabularnewline
0.07 & 102.994329097005 & 0.976531474110164 \tabularnewline
0.08 & 103.353685371102 & 0.929135794179577 \tabularnewline
0.09 & 103.674386218501 & 0.870305935068329 \tabularnewline
0.1 & 103.958363465891 & 0.802643395777787 \tabularnewline
0.11 & 104.207779971699 & 0.729823388501806 \tabularnewline
0.12 & 104.425166169233 & 0.65592888653902 \tabularnewline
0.13 & 104.613606995163 & 0.585349047816657 \tabularnewline
0.14 & 104.776777263678 & 0.522775377553742 \tabularnewline
0.15 & 104.918808726386 & 0.471574581333522 \tabularnewline
0.16 & 105.044035029925 & 0.434063839295256 \tabularnewline
0.17 & 105.15668281585 & 0.410357989573594 \tabularnewline
0.18 & 105.260579839662 & 0.399149776939059 \tabularnewline
0.19 & 105.35893445598 & 0.397654763965099 \tabularnewline
0.2 & 105.454211435111 & 0.402988910738586 \tabularnewline
0.21 & 105.548100327913 & 0.412039165478365 \tabularnewline
0.22 & 105.641555436045 & 0.42191646381039 \tabularnewline
0.23 & 105.734883185693 & 0.430155834733962 \tabularnewline
0.24 & 105.827858237403 & 0.434874072198997 \tabularnewline
0.25 & 105.919856667398 & 0.434317154233078 \tabularnewline
0.26 & 106.009998140012 & 0.427858170284354 \tabularnewline
0.27 & 106.09728843449 & 0.415316756011887 \tabularnewline
0.28 & 106.18075136381 & 0.397429869584016 \tabularnewline
0.29 & 106.259538151162 & 0.374899695529736 \tabularnewline
0.3 & 106.333004582806 & 0.349185098841571 \tabularnewline
0.31 & 106.400751575577 & 0.321878845678276 \tabularnewline
0.32 & 106.462631440846 & 0.293999421642261 \tabularnewline
0.33 & 106.518727862541 & 0.266985378801674 \tabularnewline
0.34 & 106.569320764314 & 0.241482536489278 \tabularnewline
0.35 & 106.614847264299 & 0.218312311448757 \tabularnewline
0.36 & 106.65586733018 & 0.197949972372118 \tabularnewline
0.37 & 106.69303872741 & 0.180694444956888 \tabularnewline
0.38 & 106.727101688317 & 0.167319143512177 \tabularnewline
0.39 & 106.758870414704 & 0.158236319203331 \tabularnewline
0.4 & 106.789226586822 & 0.153913310987756 \tabularnewline
0.41 & 106.81910957165 & 0.155150565365134 \tabularnewline
0.42 & 106.849498790449 & 0.162123830225144 \tabularnewline
0.43 & 106.881385370056 & 0.174806934648835 \tabularnewline
0.44 & 106.915732391405 & 0.19299409286999 \tabularnewline
0.45 & 106.953425416268 & 0.215849169874235 \tabularnewline
0.46 & 106.995217202735 & 0.242502037030377 \tabularnewline
0.47 & 107.041672314222 & 0.271345459454695 \tabularnewline
0.48 & 107.093118411405 & 0.301110912726242 \tabularnewline
0.49 & 107.149611171015 & 0.329935556219994 \tabularnewline
0.5 & 107.210918883621 & 0.356421310934924 \tabularnewline
0.51 & 107.276530880881 & 0.378922367358252 \tabularnewline
0.52 & 107.345691242344 & 0.395976989465311 \tabularnewline
0.53 & 107.417456098717 & 0.407124523103713 \tabularnewline
0.54 & 107.490769742553 & 0.41178150167333 \tabularnewline
0.55 & 107.564552147935 & 0.410037950716852 \tabularnewline
0.56 & 107.637788783105 & 0.402534305128858 \tabularnewline
0.57 & 107.709613033295 & 0.390408729064346 \tabularnewline
0.58 & 107.779372229177 & 0.374981850098562 \tabularnewline
0.59 & 107.846670125504 & 0.357748802928755 \tabularnewline
0.6 & 107.911381469027 & 0.340536149320742 \tabularnewline
0.61 & 107.973637682443 & 0.32483399220513 \tabularnewline
0.62 & 108.033786228303 & 0.311683570793429 \tabularnewline
0.63 & 108.09232942115 & 0.302029160816273 \tabularnewline
0.64 & 108.149850878441 & 0.2959312670256 \tabularnewline
0.65 & 108.206939109676 & 0.29329813746347 \tabularnewline
0.66 & 108.264117796063 & 0.293469877006909 \tabularnewline
0.67 & 108.321791185736 & 0.295416435884416 \tabularnewline
0.68 & 108.380210980281 & 0.298230280199087 \tabularnewline
0.69 & 108.43946846418 & 0.30076878905169 \tabularnewline
0.7 & 108.499512747421 & 0.302306222497812 \tabularnewline
0.71 & 108.560193054597 & 0.302270579726842 \tabularnewline
0.72 & 108.621320085417 & 0.300599933216606 \tabularnewline
0.73 & 108.682738661146 & 0.297528951939018 \tabularnewline
0.74 & 108.744401394125 & 0.293754718594748 \tabularnewline
0.75 & 108.806431541625 & 0.290176119776361 \tabularnewline
0.76 & 108.869163458922 & 0.288179746270755 \tabularnewline
0.77 & 108.933152188282 & 0.288811617514563 \tabularnewline
0.78 & 108.999150272095 & 0.293024355921551 \tabularnewline
0.79 & 109.068059120977 & 0.301319587692673 \tabularnewline
0.8 & 109.140871461711 & 0.313550766815515 \tabularnewline
0.81 & 109.218625820121 & 0.329061747635783 \tabularnewline
0.82 & 109.302388372799 & 0.347403328684846 \tabularnewline
0.83 & 109.393258991825 & 0.368133288647367 \tabularnewline
0.84 & 109.492370408314 & 0.39141460563134 \tabularnewline
0.85 & 109.60082460187 & 0.417195867595306 \tabularnewline
0.86 & 109.719508511981 & 0.445085923101718 \tabularnewline
0.87 & 109.848770453698 & 0.472833921435019 \tabularnewline
0.88 & 109.988021907229 & 0.496181052646164 \tabularnewline
0.89 & 110.135429282134 & 0.509278217334092 \tabularnewline
0.9 & 110.287917638558 & 0.506769997006283 \tabularnewline
0.91 & 110.44165763095 & 0.485918793046311 \tabularnewline
0.92 & 110.593037664673 & 0.448630860076634 \tabularnewline
0.93 & 110.739960811028 & 0.401850111591615 \tabularnewline
0.94 & 110.883422524419 & 0.355314682908638 \tabularnewline
0.95 & 111.029838853324 & 0.31872118009678 \tabularnewline
0.96 & 111.194531798149 & 0.304253559024677 \tabularnewline
0.97 & 111.403054263808 & 0.342503536797973 \tabularnewline
0.98 & 111.677462652449 & 0.478199465429576 \tabularnewline
0.99 & 111.992219533227 & 0.698261063288811 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=172244&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]100.496054768898[/C][C]0.429205592965436[/C][/ROW]
[ROW][C]0.02[/C][C]100.80803389382[/C][C]0.722115229074695[/C][/ROW]
[ROW][C]0.03[/C][C]101.227703830066[/C][C]0.924027351855529[/C][/ROW]
[ROW][C]0.04[/C][C]101.693484277699[/C][C]1.01179323384836[/C][/ROW]
[ROW][C]0.05[/C][C]102.158077681228[/C][C]1.02808368282258[/C][/ROW]
[ROW][C]0.06[/C][C]102.595146105668[/C][C]1.01088794344587[/C][/ROW]
[ROW][C]0.07[/C][C]102.994329097005[/C][C]0.976531474110164[/C][/ROW]
[ROW][C]0.08[/C][C]103.353685371102[/C][C]0.929135794179577[/C][/ROW]
[ROW][C]0.09[/C][C]103.674386218501[/C][C]0.870305935068329[/C][/ROW]
[ROW][C]0.1[/C][C]103.958363465891[/C][C]0.802643395777787[/C][/ROW]
[ROW][C]0.11[/C][C]104.207779971699[/C][C]0.729823388501806[/C][/ROW]
[ROW][C]0.12[/C][C]104.425166169233[/C][C]0.65592888653902[/C][/ROW]
[ROW][C]0.13[/C][C]104.613606995163[/C][C]0.585349047816657[/C][/ROW]
[ROW][C]0.14[/C][C]104.776777263678[/C][C]0.522775377553742[/C][/ROW]
[ROW][C]0.15[/C][C]104.918808726386[/C][C]0.471574581333522[/C][/ROW]
[ROW][C]0.16[/C][C]105.044035029925[/C][C]0.434063839295256[/C][/ROW]
[ROW][C]0.17[/C][C]105.15668281585[/C][C]0.410357989573594[/C][/ROW]
[ROW][C]0.18[/C][C]105.260579839662[/C][C]0.399149776939059[/C][/ROW]
[ROW][C]0.19[/C][C]105.35893445598[/C][C]0.397654763965099[/C][/ROW]
[ROW][C]0.2[/C][C]105.454211435111[/C][C]0.402988910738586[/C][/ROW]
[ROW][C]0.21[/C][C]105.548100327913[/C][C]0.412039165478365[/C][/ROW]
[ROW][C]0.22[/C][C]105.641555436045[/C][C]0.42191646381039[/C][/ROW]
[ROW][C]0.23[/C][C]105.734883185693[/C][C]0.430155834733962[/C][/ROW]
[ROW][C]0.24[/C][C]105.827858237403[/C][C]0.434874072198997[/C][/ROW]
[ROW][C]0.25[/C][C]105.919856667398[/C][C]0.434317154233078[/C][/ROW]
[ROW][C]0.26[/C][C]106.009998140012[/C][C]0.427858170284354[/C][/ROW]
[ROW][C]0.27[/C][C]106.09728843449[/C][C]0.415316756011887[/C][/ROW]
[ROW][C]0.28[/C][C]106.18075136381[/C][C]0.397429869584016[/C][/ROW]
[ROW][C]0.29[/C][C]106.259538151162[/C][C]0.374899695529736[/C][/ROW]
[ROW][C]0.3[/C][C]106.333004582806[/C][C]0.349185098841571[/C][/ROW]
[ROW][C]0.31[/C][C]106.400751575577[/C][C]0.321878845678276[/C][/ROW]
[ROW][C]0.32[/C][C]106.462631440846[/C][C]0.293999421642261[/C][/ROW]
[ROW][C]0.33[/C][C]106.518727862541[/C][C]0.266985378801674[/C][/ROW]
[ROW][C]0.34[/C][C]106.569320764314[/C][C]0.241482536489278[/C][/ROW]
[ROW][C]0.35[/C][C]106.614847264299[/C][C]0.218312311448757[/C][/ROW]
[ROW][C]0.36[/C][C]106.65586733018[/C][C]0.197949972372118[/C][/ROW]
[ROW][C]0.37[/C][C]106.69303872741[/C][C]0.180694444956888[/C][/ROW]
[ROW][C]0.38[/C][C]106.727101688317[/C][C]0.167319143512177[/C][/ROW]
[ROW][C]0.39[/C][C]106.758870414704[/C][C]0.158236319203331[/C][/ROW]
[ROW][C]0.4[/C][C]106.789226586822[/C][C]0.153913310987756[/C][/ROW]
[ROW][C]0.41[/C][C]106.81910957165[/C][C]0.155150565365134[/C][/ROW]
[ROW][C]0.42[/C][C]106.849498790449[/C][C]0.162123830225144[/C][/ROW]
[ROW][C]0.43[/C][C]106.881385370056[/C][C]0.174806934648835[/C][/ROW]
[ROW][C]0.44[/C][C]106.915732391405[/C][C]0.19299409286999[/C][/ROW]
[ROW][C]0.45[/C][C]106.953425416268[/C][C]0.215849169874235[/C][/ROW]
[ROW][C]0.46[/C][C]106.995217202735[/C][C]0.242502037030377[/C][/ROW]
[ROW][C]0.47[/C][C]107.041672314222[/C][C]0.271345459454695[/C][/ROW]
[ROW][C]0.48[/C][C]107.093118411405[/C][C]0.301110912726242[/C][/ROW]
[ROW][C]0.49[/C][C]107.149611171015[/C][C]0.329935556219994[/C][/ROW]
[ROW][C]0.5[/C][C]107.210918883621[/C][C]0.356421310934924[/C][/ROW]
[ROW][C]0.51[/C][C]107.276530880881[/C][C]0.378922367358252[/C][/ROW]
[ROW][C]0.52[/C][C]107.345691242344[/C][C]0.395976989465311[/C][/ROW]
[ROW][C]0.53[/C][C]107.417456098717[/C][C]0.407124523103713[/C][/ROW]
[ROW][C]0.54[/C][C]107.490769742553[/C][C]0.41178150167333[/C][/ROW]
[ROW][C]0.55[/C][C]107.564552147935[/C][C]0.410037950716852[/C][/ROW]
[ROW][C]0.56[/C][C]107.637788783105[/C][C]0.402534305128858[/C][/ROW]
[ROW][C]0.57[/C][C]107.709613033295[/C][C]0.390408729064346[/C][/ROW]
[ROW][C]0.58[/C][C]107.779372229177[/C][C]0.374981850098562[/C][/ROW]
[ROW][C]0.59[/C][C]107.846670125504[/C][C]0.357748802928755[/C][/ROW]
[ROW][C]0.6[/C][C]107.911381469027[/C][C]0.340536149320742[/C][/ROW]
[ROW][C]0.61[/C][C]107.973637682443[/C][C]0.32483399220513[/C][/ROW]
[ROW][C]0.62[/C][C]108.033786228303[/C][C]0.311683570793429[/C][/ROW]
[ROW][C]0.63[/C][C]108.09232942115[/C][C]0.302029160816273[/C][/ROW]
[ROW][C]0.64[/C][C]108.149850878441[/C][C]0.2959312670256[/C][/ROW]
[ROW][C]0.65[/C][C]108.206939109676[/C][C]0.29329813746347[/C][/ROW]
[ROW][C]0.66[/C][C]108.264117796063[/C][C]0.293469877006909[/C][/ROW]
[ROW][C]0.67[/C][C]108.321791185736[/C][C]0.295416435884416[/C][/ROW]
[ROW][C]0.68[/C][C]108.380210980281[/C][C]0.298230280199087[/C][/ROW]
[ROW][C]0.69[/C][C]108.43946846418[/C][C]0.30076878905169[/C][/ROW]
[ROW][C]0.7[/C][C]108.499512747421[/C][C]0.302306222497812[/C][/ROW]
[ROW][C]0.71[/C][C]108.560193054597[/C][C]0.302270579726842[/C][/ROW]
[ROW][C]0.72[/C][C]108.621320085417[/C][C]0.300599933216606[/C][/ROW]
[ROW][C]0.73[/C][C]108.682738661146[/C][C]0.297528951939018[/C][/ROW]
[ROW][C]0.74[/C][C]108.744401394125[/C][C]0.293754718594748[/C][/ROW]
[ROW][C]0.75[/C][C]108.806431541625[/C][C]0.290176119776361[/C][/ROW]
[ROW][C]0.76[/C][C]108.869163458922[/C][C]0.288179746270755[/C][/ROW]
[ROW][C]0.77[/C][C]108.933152188282[/C][C]0.288811617514563[/C][/ROW]
[ROW][C]0.78[/C][C]108.999150272095[/C][C]0.293024355921551[/C][/ROW]
[ROW][C]0.79[/C][C]109.068059120977[/C][C]0.301319587692673[/C][/ROW]
[ROW][C]0.8[/C][C]109.140871461711[/C][C]0.313550766815515[/C][/ROW]
[ROW][C]0.81[/C][C]109.218625820121[/C][C]0.329061747635783[/C][/ROW]
[ROW][C]0.82[/C][C]109.302388372799[/C][C]0.347403328684846[/C][/ROW]
[ROW][C]0.83[/C][C]109.393258991825[/C][C]0.368133288647367[/C][/ROW]
[ROW][C]0.84[/C][C]109.492370408314[/C][C]0.39141460563134[/C][/ROW]
[ROW][C]0.85[/C][C]109.60082460187[/C][C]0.417195867595306[/C][/ROW]
[ROW][C]0.86[/C][C]109.719508511981[/C][C]0.445085923101718[/C][/ROW]
[ROW][C]0.87[/C][C]109.848770453698[/C][C]0.472833921435019[/C][/ROW]
[ROW][C]0.88[/C][C]109.988021907229[/C][C]0.496181052646164[/C][/ROW]
[ROW][C]0.89[/C][C]110.135429282134[/C][C]0.509278217334092[/C][/ROW]
[ROW][C]0.9[/C][C]110.287917638558[/C][C]0.506769997006283[/C][/ROW]
[ROW][C]0.91[/C][C]110.44165763095[/C][C]0.485918793046311[/C][/ROW]
[ROW][C]0.92[/C][C]110.593037664673[/C][C]0.448630860076634[/C][/ROW]
[ROW][C]0.93[/C][C]110.739960811028[/C][C]0.401850111591615[/C][/ROW]
[ROW][C]0.94[/C][C]110.883422524419[/C][C]0.355314682908638[/C][/ROW]
[ROW][C]0.95[/C][C]111.029838853324[/C][C]0.31872118009678[/C][/ROW]
[ROW][C]0.96[/C][C]111.194531798149[/C][C]0.304253559024677[/C][/ROW]
[ROW][C]0.97[/C][C]111.403054263808[/C][C]0.342503536797973[/C][/ROW]
[ROW][C]0.98[/C][C]111.677462652449[/C][C]0.478199465429576[/C][/ROW]
[ROW][C]0.99[/C][C]111.992219533227[/C][C]0.698261063288811[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=172244&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=172244&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
0.01100.4960547688980.429205592965436
0.02100.808033893820.722115229074695
0.03101.2277038300660.924027351855529
0.04101.6934842776991.01179323384836
0.05102.1580776812281.02808368282258
0.06102.5951461056681.01088794344587
0.07102.9943290970050.976531474110164
0.08103.3536853711020.929135794179577
0.09103.6743862185010.870305935068329
0.1103.9583634658910.802643395777787
0.11104.2077799716990.729823388501806
0.12104.4251661692330.65592888653902
0.13104.6136069951630.585349047816657
0.14104.7767772636780.522775377553742
0.15104.9188087263860.471574581333522
0.16105.0440350299250.434063839295256
0.17105.156682815850.410357989573594
0.18105.2605798396620.399149776939059
0.19105.358934455980.397654763965099
0.2105.4542114351110.402988910738586
0.21105.5481003279130.412039165478365
0.22105.6415554360450.42191646381039
0.23105.7348831856930.430155834733962
0.24105.8278582374030.434874072198997
0.25105.9198566673980.434317154233078
0.26106.0099981400120.427858170284354
0.27106.097288434490.415316756011887
0.28106.180751363810.397429869584016
0.29106.2595381511620.374899695529736
0.3106.3330045828060.349185098841571
0.31106.4007515755770.321878845678276
0.32106.4626314408460.293999421642261
0.33106.5187278625410.266985378801674
0.34106.5693207643140.241482536489278
0.35106.6148472642990.218312311448757
0.36106.655867330180.197949972372118
0.37106.693038727410.180694444956888
0.38106.7271016883170.167319143512177
0.39106.7588704147040.158236319203331
0.4106.7892265868220.153913310987756
0.41106.819109571650.155150565365134
0.42106.8494987904490.162123830225144
0.43106.8813853700560.174806934648835
0.44106.9157323914050.19299409286999
0.45106.9534254162680.215849169874235
0.46106.9952172027350.242502037030377
0.47107.0416723142220.271345459454695
0.48107.0931184114050.301110912726242
0.49107.1496111710150.329935556219994
0.5107.2109188836210.356421310934924
0.51107.2765308808810.378922367358252
0.52107.3456912423440.395976989465311
0.53107.4174560987170.407124523103713
0.54107.4907697425530.41178150167333
0.55107.5645521479350.410037950716852
0.56107.6377887831050.402534305128858
0.57107.7096130332950.390408729064346
0.58107.7793722291770.374981850098562
0.59107.8466701255040.357748802928755
0.6107.9113814690270.340536149320742
0.61107.9736376824430.32483399220513
0.62108.0337862283030.311683570793429
0.63108.092329421150.302029160816273
0.64108.1498508784410.2959312670256
0.65108.2069391096760.29329813746347
0.66108.2641177960630.293469877006909
0.67108.3217911857360.295416435884416
0.68108.3802109802810.298230280199087
0.69108.439468464180.30076878905169
0.7108.4995127474210.302306222497812
0.71108.5601930545970.302270579726842
0.72108.6213200854170.300599933216606
0.73108.6827386611460.297528951939018
0.74108.7444013941250.293754718594748
0.75108.8064315416250.290176119776361
0.76108.8691634589220.288179746270755
0.77108.9331521882820.288811617514563
0.78108.9991502720950.293024355921551
0.79109.0680591209770.301319587692673
0.8109.1408714617110.313550766815515
0.81109.2186258201210.329061747635783
0.82109.3023883727990.347403328684846
0.83109.3932589918250.368133288647367
0.84109.4923704083140.39141460563134
0.85109.600824601870.417195867595306
0.86109.7195085119810.445085923101718
0.87109.8487704536980.472833921435019
0.88109.9880219072290.496181052646164
0.89110.1354292821340.509278217334092
0.9110.2879176385580.506769997006283
0.91110.441657630950.485918793046311
0.92110.5930376646730.448630860076634
0.93110.7399608110280.401850111591615
0.94110.8834225244190.355314682908638
0.95111.0298388533240.31872118009678
0.96111.1945317981490.304253559024677
0.97111.4030542638080.342503536797973
0.98111.6774626524490.478199465429576
0.99111.9922195332270.698261063288811


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')