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Description of Statistical Computation

Author's title

Opgave 4 Oefening 2 - Harrel-Davis Percentielen - Wisselkoers Euro in Dolla...

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 12 Mar 2009 16:21:07 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Mar/12/t1236896523noooxd7yzok5f8m.htm/, Retrieved Thu, 02 May 2024 00:04:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39017, Retrieved Thu, 02 May 2024 00:04:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact117

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] [Opgave 4 Oefening...] [2009-03-12 21:58:17] [b5e03475ff7e1cd8dde5092e127f83b7]
-   PD    [Harrell-Davis Quantiles] [Opgave 4 Oefening...] [2009-03-12 22:21:07] [69a8397eb9368d6355c6053ed100f2c7] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.1608
1.1208
1.0883
1.0704
1.0628
1.0378
1.0353
1.0604
1.0501
1.0706
1.0338
1.0110
1.0137
0.9834
0.9643
0.9470
0.9060
0.9492
0.9397
0.9041
0.8721
0.8552
0.8564
0.8973
0.9383
0.9217
0.9095
0.8920
0.8742
0.8532
0.8607
0.9005
0.9111
0.9059
0.8883
0.8924
0.8833
0.8700
0.8758
0.8858
0.9170
0.9554
0.9922
0.9778
0.9808
0.9811
1.0014
1.0183
1.0622
1.0773
1.0807
1.0848
1.1582
1.1663
1.1372
1.1139
1.1222
1.1692
1.1702
1.2286
1.2613
1.2646
1.2262
1.1985
1.2007
1.2138
1.2266
1.2176
1.2218
1.2490
1.2991
1.3408
1.3119
1.3014
1.3201
1.2938
1.2694
1.2165
1.2037
1.2292
1.2256
1.2015
1.1786
1.1856
1.2103
1.1938
1.2020
1.2271
1.2770
1.2650
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
1.4570
1.4718
1.4748
1.5527
1.5750
1.5557
1.5553
1.5770
1.4975
1.4369
1.3322
1.2732
1.3449
1.3239

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39017&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39017&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39017&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.854931999676430.00283545102527829
0.020.8583554671535050.0054863906057434
0.030.8629308394412860.00746059766829592
0.040.8679138361499420.00797502631769309
0.050.8726840103955250.00798492810250809
0.060.8770866579985630.00819486246252764
0.070.8812243555585970.00852328230420241
0.080.8851930285934210.00876782825469313
0.090.8890267149271960.00894189684998602
0.10.8927500106181320.00917422992497053
0.110.8964191020109820.009599366335198
0.120.9001297083327630.0103443935616072
0.130.9040097416896980.0115360073274250
0.140.9082043133683980.0132334820533825
0.150.912851029075870.0153645896871975
0.160.9180491012533580.0177316395254641
0.170.9238343917597850.0200755917755414
0.180.930172274955190.0221637679689012
0.190.936971291197920.0238561335069948
0.20.9441105754829330.0251220641998082
0.210.9514695389731080.0260171395996427
0.220.958950283323950.0266501446343053
0.230.9664884943650360.0271429129335178
0.240.9740533215939620.0275990201231015
0.250.9816392871767380.0280861165969359
0.260.9892539644772840.0286180485403108
0.270.9969050642912720.0291585920294627
0.281.004590199176360.0296399384831759
0.291.012291870447260.02998778539937
0.31.019978958262710.0301499283733401
0.311.027614337917670.030117099110283
0.321.035166625865660.0299452438189374
0.331.042622911385980.0297418996050124
0.341.049998903063570.0296577555051854
0.351.057343285567200.0298511368152781
0.361.064734212621780.0304531811744511
0.371.072267625103780.0315158007242962
0.381.080039169701310.0329936293507406
0.391.088123387332320.0347290502099505
0.41.096554932985530.0364999516926191
0.411.105316417957600.0380395036044353
0.421.114335953802470.0391084304099636
0.431.123495025780620.039528741256686
0.441.132644696806290.0392192131557243
0.451.141626184608480.0381838108369026
0.461.150291159510760.0365276955467660
0.471.158517796945440.0343985483373932
0.481.166220308016530.0319797979543759
0.491.173351672695180.0294327756796675
0.51.179900919822420.0269146708491845
0.511.185887117530820.0245335911933544
0.521.191352231732130.0223649821548323
0.531.196354461317050.0204694904399334
0.541.200962938253460.0188870092478662
0.551.205254040341820.0176354022496346
0.561.209309059647570.0167370047255027
0.571.213212546196430.0162016376253514
0.581.217050302085450.0160356156115433
0.591.220905884407100.0162299453292433
0.61.224854825133640.0167367359189615
0.611.228956720137800.0174701469021868
0.621.233246687043400.0183011920559648
0.631.237728888344860.0190680218082358
0.641.242375151350780.0196188841975132
0.651.247130711928200.0198522519543183
0.661.251926878646200.0197318180215178
0.671.256697751747620.0193111545793754
0.681.261396215271450.0187109764611474
0.691.266004242264870.0180900917899939
0.71.270534370884240.0175872697626342
0.711.275022344015720.0172907713852801
0.721.279514024618330.0172000749002142
0.731.284051465766100.0172633721154249
0.741.28866275328640.0173896444437209
0.751.293358255443430.0174952771343477
0.761.298133283256550.0175289911417192
0.771.302975124993850.0174735232708771
0.781.307871752458990.0173488218365269
0.791.312820279750870.0171956984647935
0.81.317835030538880.0170788708533661
0.811.322957125789190.0170814912930226
0.821.328268841232390.0173288923648919
0.831.333915041086390.0180067285337226
0.841.340128890703130.0193953943616322
0.851.347249211716470.0218156946971663
0.861.35570577959360.0254834169240633
0.871.365945965198250.0302737471712072
0.881.378294112522650.0355476271291578
0.891.392780929192900.0401785974393721
0.91.409041480817050.0429031165929479
0.911.426413427613510.0429826076404142
0.921.444299349958490.0409245278215689
0.931.462629662929460.0386840385112667
0.941.481957586399070.0383795935953847
0.951.502727513507050.0392276726191704
0.961.524099464635260.0368899549082349
0.971.543877628960820.0287240298565313
0.981.560144581219470.0186302662189006
0.991.571778912682440.0100515842719057

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.85493199967643 & 0.00283545102527829 \tabularnewline
0.02 & 0.858355467153505 & 0.0054863906057434 \tabularnewline
0.03 & 0.862930839441286 & 0.00746059766829592 \tabularnewline
0.04 & 0.867913836149942 & 0.00797502631769309 \tabularnewline
0.05 & 0.872684010395525 & 0.00798492810250809 \tabularnewline
0.06 & 0.877086657998563 & 0.00819486246252764 \tabularnewline
0.07 & 0.881224355558597 & 0.00852328230420241 \tabularnewline
0.08 & 0.885193028593421 & 0.00876782825469313 \tabularnewline
0.09 & 0.889026714927196 & 0.00894189684998602 \tabularnewline
0.1 & 0.892750010618132 & 0.00917422992497053 \tabularnewline
0.11 & 0.896419102010982 & 0.009599366335198 \tabularnewline
0.12 & 0.900129708332763 & 0.0103443935616072 \tabularnewline
0.13 & 0.904009741689698 & 0.0115360073274250 \tabularnewline
0.14 & 0.908204313368398 & 0.0132334820533825 \tabularnewline
0.15 & 0.91285102907587 & 0.0153645896871975 \tabularnewline
0.16 & 0.918049101253358 & 0.0177316395254641 \tabularnewline
0.17 & 0.923834391759785 & 0.0200755917755414 \tabularnewline
0.18 & 0.93017227495519 & 0.0221637679689012 \tabularnewline
0.19 & 0.93697129119792 & 0.0238561335069948 \tabularnewline
0.2 & 0.944110575482933 & 0.0251220641998082 \tabularnewline
0.21 & 0.951469538973108 & 0.0260171395996427 \tabularnewline
0.22 & 0.95895028332395 & 0.0266501446343053 \tabularnewline
0.23 & 0.966488494365036 & 0.0271429129335178 \tabularnewline
0.24 & 0.974053321593962 & 0.0275990201231015 \tabularnewline
0.25 & 0.981639287176738 & 0.0280861165969359 \tabularnewline
0.26 & 0.989253964477284 & 0.0286180485403108 \tabularnewline
0.27 & 0.996905064291272 & 0.0291585920294627 \tabularnewline
0.28 & 1.00459019917636 & 0.0296399384831759 \tabularnewline
0.29 & 1.01229187044726 & 0.02998778539937 \tabularnewline
0.3 & 1.01997895826271 & 0.0301499283733401 \tabularnewline
0.31 & 1.02761433791767 & 0.030117099110283 \tabularnewline
0.32 & 1.03516662586566 & 0.0299452438189374 \tabularnewline
0.33 & 1.04262291138598 & 0.0297418996050124 \tabularnewline
0.34 & 1.04999890306357 & 0.0296577555051854 \tabularnewline
0.35 & 1.05734328556720 & 0.0298511368152781 \tabularnewline
0.36 & 1.06473421262178 & 0.0304531811744511 \tabularnewline
0.37 & 1.07226762510378 & 0.0315158007242962 \tabularnewline
0.38 & 1.08003916970131 & 0.0329936293507406 \tabularnewline
0.39 & 1.08812338733232 & 0.0347290502099505 \tabularnewline
0.4 & 1.09655493298553 & 0.0364999516926191 \tabularnewline
0.41 & 1.10531641795760 & 0.0380395036044353 \tabularnewline
0.42 & 1.11433595380247 & 0.0391084304099636 \tabularnewline
0.43 & 1.12349502578062 & 0.039528741256686 \tabularnewline
0.44 & 1.13264469680629 & 0.0392192131557243 \tabularnewline
0.45 & 1.14162618460848 & 0.0381838108369026 \tabularnewline
0.46 & 1.15029115951076 & 0.0365276955467660 \tabularnewline
0.47 & 1.15851779694544 & 0.0343985483373932 \tabularnewline
0.48 & 1.16622030801653 & 0.0319797979543759 \tabularnewline
0.49 & 1.17335167269518 & 0.0294327756796675 \tabularnewline
0.5 & 1.17990091982242 & 0.0269146708491845 \tabularnewline
0.51 & 1.18588711753082 & 0.0245335911933544 \tabularnewline
0.52 & 1.19135223173213 & 0.0223649821548323 \tabularnewline
0.53 & 1.19635446131705 & 0.0204694904399334 \tabularnewline
0.54 & 1.20096293825346 & 0.0188870092478662 \tabularnewline
0.55 & 1.20525404034182 & 0.0176354022496346 \tabularnewline
0.56 & 1.20930905964757 & 0.0167370047255027 \tabularnewline
0.57 & 1.21321254619643 & 0.0162016376253514 \tabularnewline
0.58 & 1.21705030208545 & 0.0160356156115433 \tabularnewline
0.59 & 1.22090588440710 & 0.0162299453292433 \tabularnewline
0.6 & 1.22485482513364 & 0.0167367359189615 \tabularnewline
0.61 & 1.22895672013780 & 0.0174701469021868 \tabularnewline
0.62 & 1.23324668704340 & 0.0183011920559648 \tabularnewline
0.63 & 1.23772888834486 & 0.0190680218082358 \tabularnewline
0.64 & 1.24237515135078 & 0.0196188841975132 \tabularnewline
0.65 & 1.24713071192820 & 0.0198522519543183 \tabularnewline
0.66 & 1.25192687864620 & 0.0197318180215178 \tabularnewline
0.67 & 1.25669775174762 & 0.0193111545793754 \tabularnewline
0.68 & 1.26139621527145 & 0.0187109764611474 \tabularnewline
0.69 & 1.26600424226487 & 0.0180900917899939 \tabularnewline
0.7 & 1.27053437088424 & 0.0175872697626342 \tabularnewline
0.71 & 1.27502234401572 & 0.0172907713852801 \tabularnewline
0.72 & 1.27951402461833 & 0.0172000749002142 \tabularnewline
0.73 & 1.28405146576610 & 0.0172633721154249 \tabularnewline
0.74 & 1.2886627532864 & 0.0173896444437209 \tabularnewline
0.75 & 1.29335825544343 & 0.0174952771343477 \tabularnewline
0.76 & 1.29813328325655 & 0.0175289911417192 \tabularnewline
0.77 & 1.30297512499385 & 0.0174735232708771 \tabularnewline
0.78 & 1.30787175245899 & 0.0173488218365269 \tabularnewline
0.79 & 1.31282027975087 & 0.0171956984647935 \tabularnewline
0.8 & 1.31783503053888 & 0.0170788708533661 \tabularnewline
0.81 & 1.32295712578919 & 0.0170814912930226 \tabularnewline
0.82 & 1.32826884123239 & 0.0173288923648919 \tabularnewline
0.83 & 1.33391504108639 & 0.0180067285337226 \tabularnewline
0.84 & 1.34012889070313 & 0.0193953943616322 \tabularnewline
0.85 & 1.34724921171647 & 0.0218156946971663 \tabularnewline
0.86 & 1.3557057795936 & 0.0254834169240633 \tabularnewline
0.87 & 1.36594596519825 & 0.0302737471712072 \tabularnewline
0.88 & 1.37829411252265 & 0.0355476271291578 \tabularnewline
0.89 & 1.39278092919290 & 0.0401785974393721 \tabularnewline
0.9 & 1.40904148081705 & 0.0429031165929479 \tabularnewline
0.91 & 1.42641342761351 & 0.0429826076404142 \tabularnewline
0.92 & 1.44429934995849 & 0.0409245278215689 \tabularnewline
0.93 & 1.46262966292946 & 0.0386840385112667 \tabularnewline
0.94 & 1.48195758639907 & 0.0383795935953847 \tabularnewline
0.95 & 1.50272751350705 & 0.0392276726191704 \tabularnewline
0.96 & 1.52409946463526 & 0.0368899549082349 \tabularnewline
0.97 & 1.54387762896082 & 0.0287240298565313 \tabularnewline
0.98 & 1.56014458121947 & 0.0186302662189006 \tabularnewline
0.99 & 1.57177891268244 & 0.0100515842719057 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39017&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]0.85493199967643[/C][C]0.00283545102527829[/C][/ROW]
[ROW][C]0.02[/C][C]0.858355467153505[/C][C]0.0054863906057434[/C][/ROW]
[ROW][C]0.03[/C][C]0.862930839441286[/C][C]0.00746059766829592[/C][/ROW]
[ROW][C]0.04[/C][C]0.867913836149942[/C][C]0.00797502631769309[/C][/ROW]
[ROW][C]0.05[/C][C]0.872684010395525[/C][C]0.00798492810250809[/C][/ROW]
[ROW][C]0.06[/C][C]0.877086657998563[/C][C]0.00819486246252764[/C][/ROW]
[ROW][C]0.07[/C][C]0.881224355558597[/C][C]0.00852328230420241[/C][/ROW]
[ROW][C]0.08[/C][C]0.885193028593421[/C][C]0.00876782825469313[/C][/ROW]
[ROW][C]0.09[/C][C]0.889026714927196[/C][C]0.00894189684998602[/C][/ROW]
[ROW][C]0.1[/C][C]0.892750010618132[/C][C]0.00917422992497053[/C][/ROW]
[ROW][C]0.11[/C][C]0.896419102010982[/C][C]0.009599366335198[/C][/ROW]
[ROW][C]0.12[/C][C]0.900129708332763[/C][C]0.0103443935616072[/C][/ROW]
[ROW][C]0.13[/C][C]0.904009741689698[/C][C]0.0115360073274250[/C][/ROW]
[ROW][C]0.14[/C][C]0.908204313368398[/C][C]0.0132334820533825[/C][/ROW]
[ROW][C]0.15[/C][C]0.91285102907587[/C][C]0.0153645896871975[/C][/ROW]
[ROW][C]0.16[/C][C]0.918049101253358[/C][C]0.0177316395254641[/C][/ROW]
[ROW][C]0.17[/C][C]0.923834391759785[/C][C]0.0200755917755414[/C][/ROW]
[ROW][C]0.18[/C][C]0.93017227495519[/C][C]0.0221637679689012[/C][/ROW]
[ROW][C]0.19[/C][C]0.93697129119792[/C][C]0.0238561335069948[/C][/ROW]
[ROW][C]0.2[/C][C]0.944110575482933[/C][C]0.0251220641998082[/C][/ROW]
[ROW][C]0.21[/C][C]0.951469538973108[/C][C]0.0260171395996427[/C][/ROW]
[ROW][C]0.22[/C][C]0.95895028332395[/C][C]0.0266501446343053[/C][/ROW]
[ROW][C]0.23[/C][C]0.966488494365036[/C][C]0.0271429129335178[/C][/ROW]
[ROW][C]0.24[/C][C]0.974053321593962[/C][C]0.0275990201231015[/C][/ROW]
[ROW][C]0.25[/C][C]0.981639287176738[/C][C]0.0280861165969359[/C][/ROW]
[ROW][C]0.26[/C][C]0.989253964477284[/C][C]0.0286180485403108[/C][/ROW]
[ROW][C]0.27[/C][C]0.996905064291272[/C][C]0.0291585920294627[/C][/ROW]
[ROW][C]0.28[/C][C]1.00459019917636[/C][C]0.0296399384831759[/C][/ROW]
[ROW][C]0.29[/C][C]1.01229187044726[/C][C]0.02998778539937[/C][/ROW]
[ROW][C]0.3[/C][C]1.01997895826271[/C][C]0.0301499283733401[/C][/ROW]
[ROW][C]0.31[/C][C]1.02761433791767[/C][C]0.030117099110283[/C][/ROW]
[ROW][C]0.32[/C][C]1.03516662586566[/C][C]0.0299452438189374[/C][/ROW]
[ROW][C]0.33[/C][C]1.04262291138598[/C][C]0.0297418996050124[/C][/ROW]
[ROW][C]0.34[/C][C]1.04999890306357[/C][C]0.0296577555051854[/C][/ROW]
[ROW][C]0.35[/C][C]1.05734328556720[/C][C]0.0298511368152781[/C][/ROW]
[ROW][C]0.36[/C][C]1.06473421262178[/C][C]0.0304531811744511[/C][/ROW]
[ROW][C]0.37[/C][C]1.07226762510378[/C][C]0.0315158007242962[/C][/ROW]
[ROW][C]0.38[/C][C]1.08003916970131[/C][C]0.0329936293507406[/C][/ROW]
[ROW][C]0.39[/C][C]1.08812338733232[/C][C]0.0347290502099505[/C][/ROW]
[ROW][C]0.4[/C][C]1.09655493298553[/C][C]0.0364999516926191[/C][/ROW]
[ROW][C]0.41[/C][C]1.10531641795760[/C][C]0.0380395036044353[/C][/ROW]
[ROW][C]0.42[/C][C]1.11433595380247[/C][C]0.0391084304099636[/C][/ROW]
[ROW][C]0.43[/C][C]1.12349502578062[/C][C]0.039528741256686[/C][/ROW]
[ROW][C]0.44[/C][C]1.13264469680629[/C][C]0.0392192131557243[/C][/ROW]
[ROW][C]0.45[/C][C]1.14162618460848[/C][C]0.0381838108369026[/C][/ROW]
[ROW][C]0.46[/C][C]1.15029115951076[/C][C]0.0365276955467660[/C][/ROW]
[ROW][C]0.47[/C][C]1.15851779694544[/C][C]0.0343985483373932[/C][/ROW]
[ROW][C]0.48[/C][C]1.16622030801653[/C][C]0.0319797979543759[/C][/ROW]
[ROW][C]0.49[/C][C]1.17335167269518[/C][C]0.0294327756796675[/C][/ROW]
[ROW][C]0.5[/C][C]1.17990091982242[/C][C]0.0269146708491845[/C][/ROW]
[ROW][C]0.51[/C][C]1.18588711753082[/C][C]0.0245335911933544[/C][/ROW]
[ROW][C]0.52[/C][C]1.19135223173213[/C][C]0.0223649821548323[/C][/ROW]
[ROW][C]0.53[/C][C]1.19635446131705[/C][C]0.0204694904399334[/C][/ROW]
[ROW][C]0.54[/C][C]1.20096293825346[/C][C]0.0188870092478662[/C][/ROW]
[ROW][C]0.55[/C][C]1.20525404034182[/C][C]0.0176354022496346[/C][/ROW]
[ROW][C]0.56[/C][C]1.20930905964757[/C][C]0.0167370047255027[/C][/ROW]
[ROW][C]0.57[/C][C]1.21321254619643[/C][C]0.0162016376253514[/C][/ROW]
[ROW][C]0.58[/C][C]1.21705030208545[/C][C]0.0160356156115433[/C][/ROW]
[ROW][C]0.59[/C][C]1.22090588440710[/C][C]0.0162299453292433[/C][/ROW]
[ROW][C]0.6[/C][C]1.22485482513364[/C][C]0.0167367359189615[/C][/ROW]
[ROW][C]0.61[/C][C]1.22895672013780[/C][C]0.0174701469021868[/C][/ROW]
[ROW][C]0.62[/C][C]1.23324668704340[/C][C]0.0183011920559648[/C][/ROW]
[ROW][C]0.63[/C][C]1.23772888834486[/C][C]0.0190680218082358[/C][/ROW]
[ROW][C]0.64[/C][C]1.24237515135078[/C][C]0.0196188841975132[/C][/ROW]
[ROW][C]0.65[/C][C]1.24713071192820[/C][C]0.0198522519543183[/C][/ROW]
[ROW][C]0.66[/C][C]1.25192687864620[/C][C]0.0197318180215178[/C][/ROW]
[ROW][C]0.67[/C][C]1.25669775174762[/C][C]0.0193111545793754[/C][/ROW]
[ROW][C]0.68[/C][C]1.26139621527145[/C][C]0.0187109764611474[/C][/ROW]
[ROW][C]0.69[/C][C]1.26600424226487[/C][C]0.0180900917899939[/C][/ROW]
[ROW][C]0.7[/C][C]1.27053437088424[/C][C]0.0175872697626342[/C][/ROW]
[ROW][C]0.71[/C][C]1.27502234401572[/C][C]0.0172907713852801[/C][/ROW]
[ROW][C]0.72[/C][C]1.27951402461833[/C][C]0.0172000749002142[/C][/ROW]
[ROW][C]0.73[/C][C]1.28405146576610[/C][C]0.0172633721154249[/C][/ROW]
[ROW][C]0.74[/C][C]1.2886627532864[/C][C]0.0173896444437209[/C][/ROW]
[ROW][C]0.75[/C][C]1.29335825544343[/C][C]0.0174952771343477[/C][/ROW]
[ROW][C]0.76[/C][C]1.29813328325655[/C][C]0.0175289911417192[/C][/ROW]
[ROW][C]0.77[/C][C]1.30297512499385[/C][C]0.0174735232708771[/C][/ROW]
[ROW][C]0.78[/C][C]1.30787175245899[/C][C]0.0173488218365269[/C][/ROW]
[ROW][C]0.79[/C][C]1.31282027975087[/C][C]0.0171956984647935[/C][/ROW]
[ROW][C]0.8[/C][C]1.31783503053888[/C][C]0.0170788708533661[/C][/ROW]
[ROW][C]0.81[/C][C]1.32295712578919[/C][C]0.0170814912930226[/C][/ROW]
[ROW][C]0.82[/C][C]1.32826884123239[/C][C]0.0173288923648919[/C][/ROW]
[ROW][C]0.83[/C][C]1.33391504108639[/C][C]0.0180067285337226[/C][/ROW]
[ROW][C]0.84[/C][C]1.34012889070313[/C][C]0.0193953943616322[/C][/ROW]
[ROW][C]0.85[/C][C]1.34724921171647[/C][C]0.0218156946971663[/C][/ROW]
[ROW][C]0.86[/C][C]1.3557057795936[/C][C]0.0254834169240633[/C][/ROW]
[ROW][C]0.87[/C][C]1.36594596519825[/C][C]0.0302737471712072[/C][/ROW]
[ROW][C]0.88[/C][C]1.37829411252265[/C][C]0.0355476271291578[/C][/ROW]
[ROW][C]0.89[/C][C]1.39278092919290[/C][C]0.0401785974393721[/C][/ROW]
[ROW][C]0.9[/C][C]1.40904148081705[/C][C]0.0429031165929479[/C][/ROW]
[ROW][C]0.91[/C][C]1.42641342761351[/C][C]0.0429826076404142[/C][/ROW]
[ROW][C]0.92[/C][C]1.44429934995849[/C][C]0.0409245278215689[/C][/ROW]
[ROW][C]0.93[/C][C]1.46262966292946[/C][C]0.0386840385112667[/C][/ROW]
[ROW][C]0.94[/C][C]1.48195758639907[/C][C]0.0383795935953847[/C][/ROW]
[ROW][C]0.95[/C][C]1.50272751350705[/C][C]0.0392276726191704[/C][/ROW]
[ROW][C]0.96[/C][C]1.52409946463526[/C][C]0.0368899549082349[/C][/ROW]
[ROW][C]0.97[/C][C]1.54387762896082[/C][C]0.0287240298565313[/C][/ROW]
[ROW][C]0.98[/C][C]1.56014458121947[/C][C]0.0186302662189006[/C][/ROW]
[ROW][C]0.99[/C][C]1.57177891268244[/C][C]0.0100515842719057[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39017&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39017&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
0.010.854931999676430.00283545102527829
0.020.8583554671535050.0054863906057434
0.030.8629308394412860.00746059766829592
0.040.8679138361499420.00797502631769309
0.050.8726840103955250.00798492810250809
0.060.8770866579985630.00819486246252764
0.070.8812243555585970.00852328230420241
0.080.8851930285934210.00876782825469313
0.090.8890267149271960.00894189684998602
0.10.8927500106181320.00917422992497053
0.110.8964191020109820.009599366335198
0.120.9001297083327630.0103443935616072
0.130.9040097416896980.0115360073274250
0.140.9082043133683980.0132334820533825
0.150.912851029075870.0153645896871975
0.160.9180491012533580.0177316395254641
0.170.9238343917597850.0200755917755414
0.180.930172274955190.0221637679689012
0.190.936971291197920.0238561335069948
0.20.9441105754829330.0251220641998082
0.210.9514695389731080.0260171395996427
0.220.958950283323950.0266501446343053
0.230.9664884943650360.0271429129335178
0.240.9740533215939620.0275990201231015
0.250.9816392871767380.0280861165969359
0.260.9892539644772840.0286180485403108
0.270.9969050642912720.0291585920294627
0.281.004590199176360.0296399384831759
0.291.012291870447260.02998778539937
0.31.019978958262710.0301499283733401
0.311.027614337917670.030117099110283
0.321.035166625865660.0299452438189374
0.331.042622911385980.0297418996050124
0.341.049998903063570.0296577555051854
0.351.057343285567200.0298511368152781
0.361.064734212621780.0304531811744511
0.371.072267625103780.0315158007242962
0.381.080039169701310.0329936293507406
0.391.088123387332320.0347290502099505
0.41.096554932985530.0364999516926191
0.411.105316417957600.0380395036044353
0.421.114335953802470.0391084304099636
0.431.123495025780620.039528741256686
0.441.132644696806290.0392192131557243
0.451.141626184608480.0381838108369026
0.461.150291159510760.0365276955467660
0.471.158517796945440.0343985483373932
0.481.166220308016530.0319797979543759
0.491.173351672695180.0294327756796675
0.51.179900919822420.0269146708491845
0.511.185887117530820.0245335911933544
0.521.191352231732130.0223649821548323
0.531.196354461317050.0204694904399334
0.541.200962938253460.0188870092478662
0.551.205254040341820.0176354022496346
0.561.209309059647570.0167370047255027
0.571.213212546196430.0162016376253514
0.581.217050302085450.0160356156115433
0.591.220905884407100.0162299453292433
0.61.224854825133640.0167367359189615
0.611.228956720137800.0174701469021868
0.621.233246687043400.0183011920559648
0.631.237728888344860.0190680218082358
0.641.242375151350780.0196188841975132
0.651.247130711928200.0198522519543183
0.661.251926878646200.0197318180215178
0.671.256697751747620.0193111545793754
0.681.261396215271450.0187109764611474
0.691.266004242264870.0180900917899939
0.71.270534370884240.0175872697626342
0.711.275022344015720.0172907713852801
0.721.279514024618330.0172000749002142
0.731.284051465766100.0172633721154249
0.741.28866275328640.0173896444437209
0.751.293358255443430.0174952771343477
0.761.298133283256550.0175289911417192
0.771.302975124993850.0174735232708771
0.781.307871752458990.0173488218365269
0.791.312820279750870.0171956984647935
0.81.317835030538880.0170788708533661
0.811.322957125789190.0170814912930226
0.821.328268841232390.0173288923648919
0.831.333915041086390.0180067285337226
0.841.340128890703130.0193953943616322
0.851.347249211716470.0218156946971663
0.861.35570577959360.0254834169240633
0.871.365945965198250.0302737471712072
0.881.378294112522650.0355476271291578
0.891.392780929192900.0401785974393721
0.91.409041480817050.0429031165929479
0.911.426413427613510.0429826076404142
0.921.444299349958490.0409245278215689
0.931.462629662929460.0386840385112667
0.941.481957586399070.0383795935953847
0.951.502727513507050.0392276726191704
0.961.524099464635260.0368899549082349
0.971.543877628960820.0287240298565313
0.981.560144581219470.0186302662189006
0.991.571778912682440.0100515842719057


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')