FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 05 Oct 2014 14:19:28 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/05/t1412515189gqsvxq36dezb9uf.htm/, Retrieved Sun, 12 May 2024 12:25:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238772, Retrieved Sun, 12 May 2024 12:25:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact72

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] [] [2014-10-05 13:19:28] [b14d23c6a1d7f8e7693f95bb395763d5] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
6900
7045
8044
8196
8257
8623
8644
8648
8961
8961
9116
9313
9360
9429
9485
9580
9606
9679
9726
9898
10028
10082
10091
10228
10337
10372
10425
10573
10680
10685
10771
10783
10849
10865
10954
10962
11026
11080
11210
11222
11236
11329
11334
11394
11648
11677
11816
11839
11874
11911
11918
12164
12177
12347
12624
12627
12782
12794
13142
13149
13240
13270
13445
13579
13601
13878
13957
14360
14687
14771
14779
14825
15119
16244
18983
19940
20067
20993
21545
21709
22165
22205
23533
23882
59646

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=238772&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=238772&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238772&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
0.017054.89163618042375.569629487494
0.027348.8037564584559.482786789265
0.037683.47252631427547.384204852586
0.047978.55897434305445.101507859368
0.058208.76544322206359.914130920129
0.068385.00126425663317.183546629334
0.078526.98717240302300.875976688777
0.088649.75445442137296.770235569472
0.098761.84417284251298.317700145682
0.18867.39798535222301.285254325055
0.118968.08925113024302.238203825202
0.129064.26449388839299.190912360414
0.139155.67135395826292.131487718092
0.149242.00331365134282.539862889289
0.159323.26543215498272.741690344856
0.169399.92461570174265.07601258035
0.179472.86323224199261.217203635432
0.189543.20549384035261.825611379621
0.199612.10020085097266.462107307006
0.29680.52913194486273.933016897728
0.219749.18311943466282.734203965255
0.229818.41906803068291.416141007067
0.239888.28763860709298.861778126632
0.249958.60670207568304.470872777377
0.2510029.0511534949307.983379366523
0.2610099.2340637582309.440071231973
0.2710168.7642648688309.024448468039
0.2810237.2771489506306.905064043939
0.2910304.4448558968303.21548501863
0.310369.9767298104297.975775036748
0.3110433.6205293518291.321598436266
0.3210495.170729609283.414092303423
0.3310554.4846568748274.582428171004
0.3410611.5024395069265.3122918877
0.3510666.2643515113256.198421080446
0.3610718.9194832418247.896945240587
0.3710769.7222097159240.969656819676
0.3810819.016447819235.892421233626
0.3910867.2108877379232.955986968787
0.410914.7502485663232.264571486995
0.4110962.0877103808233.746534628505
0.4211009.6622118298237.252478380522
0.4311057.8819723967242.601821812666
0.4411107.1133414495249.555809382615
0.4511157.6727504063257.872545398332
0.4611209.8196332607267.284182192799
0.4711263.7496122422277.472469978276
0.4811319.5893900948288.024188335176
0.4911377.3966586227298.507792667607
0.511437.1689269881308.592572141161
0.5111498.8638854158318.007282936417
0.5211562.4308321486326.759947572429
0.5311627.848641755335.09796195465
0.5411695.1621134807343.568486090195
0.5511764.5067565997352.783991774495
0.5611836.1131277642363.390457600814
0.5711910.2858351469375.814769666321
0.5811987.3583715228390.101850585203
0.5912067.6313910915405.83416532448
0.612151.3070456744422.235528294065
0.6112238.4340937821438.203823610628
0.6212328.8771161343452.621865439842
0.6312422.3187555599464.47218741742
0.6412518.2976746601473.107897483406
0.6512616.2784121657478.276979258345
0.6612715.7438068392480.255560548698
0.6712816.2968724148479.895734270112
0.6812917.7571226851478.412176698393
0.6913020.2363186409477.454895192079
0.713124.1806625757478.744792437597
0.7113230.3714439867483.939579974566
0.7213339.8854435541494.312956829856
0.7313454.031215092510.587117450258
0.7413574.2971776017532.919743699573
0.7513702.3680597061561.16770489045
0.7613840.2781111214595.743159100634
0.7713990.7579428458638.598330145428
0.7814157.7809612979694.493145082248
0.7914347.2169422409771.790671383925
0.814567.366804272881.715597786033
0.8114829.0284865891035.09688488533
0.8215144.70482420561237.10949966223
0.8315526.69414584011481.93531783202
0.8415984.14511515291749.85854366731
0.8516519.65086898542008.04899667416
0.8617126.41720099552215.91195800035
0.8717787.20034323742334.5454693512
0.8818475.87046589392337.85680624162
0.8919161.65460471742221.22072168199
0.919815.20285330912004.03187631838
0.9120415.17278497481725.02851956426
0.9220954.72545653251433.63592762687
0.9321450.74773126291184.33272675517
0.9421970.25549077241047.97829492698
0.9522720.20842992741194.49010204304
0.9624292.22310206582200.48913841605
0.9728063.72665025175447.7573985323
0.9836090.336240777612921.9788459249
0.9948650.353764200424861.3556453671

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 7054.89163618042 & 375.569629487494 \tabularnewline
0.02 & 7348.8037564584 & 559.482786789265 \tabularnewline
0.03 & 7683.47252631427 & 547.384204852586 \tabularnewline
0.04 & 7978.55897434305 & 445.101507859368 \tabularnewline
0.05 & 8208.76544322206 & 359.914130920129 \tabularnewline
0.06 & 8385.00126425663 & 317.183546629334 \tabularnewline
0.07 & 8526.98717240302 & 300.875976688777 \tabularnewline
0.08 & 8649.75445442137 & 296.770235569472 \tabularnewline
0.09 & 8761.84417284251 & 298.317700145682 \tabularnewline
0.1 & 8867.39798535222 & 301.285254325055 \tabularnewline
0.11 & 8968.08925113024 & 302.238203825202 \tabularnewline
0.12 & 9064.26449388839 & 299.190912360414 \tabularnewline
0.13 & 9155.67135395826 & 292.131487718092 \tabularnewline
0.14 & 9242.00331365134 & 282.539862889289 \tabularnewline
0.15 & 9323.26543215498 & 272.741690344856 \tabularnewline
0.16 & 9399.92461570174 & 265.07601258035 \tabularnewline
0.17 & 9472.86323224199 & 261.217203635432 \tabularnewline
0.18 & 9543.20549384035 & 261.825611379621 \tabularnewline
0.19 & 9612.10020085097 & 266.462107307006 \tabularnewline
0.2 & 9680.52913194486 & 273.933016897728 \tabularnewline
0.21 & 9749.18311943466 & 282.734203965255 \tabularnewline
0.22 & 9818.41906803068 & 291.416141007067 \tabularnewline
0.23 & 9888.28763860709 & 298.861778126632 \tabularnewline
0.24 & 9958.60670207568 & 304.470872777377 \tabularnewline
0.25 & 10029.0511534949 & 307.983379366523 \tabularnewline
0.26 & 10099.2340637582 & 309.440071231973 \tabularnewline
0.27 & 10168.7642648688 & 309.024448468039 \tabularnewline
0.28 & 10237.2771489506 & 306.905064043939 \tabularnewline
0.29 & 10304.4448558968 & 303.21548501863 \tabularnewline
0.3 & 10369.9767298104 & 297.975775036748 \tabularnewline
0.31 & 10433.6205293518 & 291.321598436266 \tabularnewline
0.32 & 10495.170729609 & 283.414092303423 \tabularnewline
0.33 & 10554.4846568748 & 274.582428171004 \tabularnewline
0.34 & 10611.5024395069 & 265.3122918877 \tabularnewline
0.35 & 10666.2643515113 & 256.198421080446 \tabularnewline
0.36 & 10718.9194832418 & 247.896945240587 \tabularnewline
0.37 & 10769.7222097159 & 240.969656819676 \tabularnewline
0.38 & 10819.016447819 & 235.892421233626 \tabularnewline
0.39 & 10867.2108877379 & 232.955986968787 \tabularnewline
0.4 & 10914.7502485663 & 232.264571486995 \tabularnewline
0.41 & 10962.0877103808 & 233.746534628505 \tabularnewline
0.42 & 11009.6622118298 & 237.252478380522 \tabularnewline
0.43 & 11057.8819723967 & 242.601821812666 \tabularnewline
0.44 & 11107.1133414495 & 249.555809382615 \tabularnewline
0.45 & 11157.6727504063 & 257.872545398332 \tabularnewline
0.46 & 11209.8196332607 & 267.284182192799 \tabularnewline
0.47 & 11263.7496122422 & 277.472469978276 \tabularnewline
0.48 & 11319.5893900948 & 288.024188335176 \tabularnewline
0.49 & 11377.3966586227 & 298.507792667607 \tabularnewline
0.5 & 11437.1689269881 & 308.592572141161 \tabularnewline
0.51 & 11498.8638854158 & 318.007282936417 \tabularnewline
0.52 & 11562.4308321486 & 326.759947572429 \tabularnewline
0.53 & 11627.848641755 & 335.09796195465 \tabularnewline
0.54 & 11695.1621134807 & 343.568486090195 \tabularnewline
0.55 & 11764.5067565997 & 352.783991774495 \tabularnewline
0.56 & 11836.1131277642 & 363.390457600814 \tabularnewline
0.57 & 11910.2858351469 & 375.814769666321 \tabularnewline
0.58 & 11987.3583715228 & 390.101850585203 \tabularnewline
0.59 & 12067.6313910915 & 405.83416532448 \tabularnewline
0.6 & 12151.3070456744 & 422.235528294065 \tabularnewline
0.61 & 12238.4340937821 & 438.203823610628 \tabularnewline
0.62 & 12328.8771161343 & 452.621865439842 \tabularnewline
0.63 & 12422.3187555599 & 464.47218741742 \tabularnewline
0.64 & 12518.2976746601 & 473.107897483406 \tabularnewline
0.65 & 12616.2784121657 & 478.276979258345 \tabularnewline
0.66 & 12715.7438068392 & 480.255560548698 \tabularnewline
0.67 & 12816.2968724148 & 479.895734270112 \tabularnewline
0.68 & 12917.7571226851 & 478.412176698393 \tabularnewline
0.69 & 13020.2363186409 & 477.454895192079 \tabularnewline
0.7 & 13124.1806625757 & 478.744792437597 \tabularnewline
0.71 & 13230.3714439867 & 483.939579974566 \tabularnewline
0.72 & 13339.8854435541 & 494.312956829856 \tabularnewline
0.73 & 13454.031215092 & 510.587117450258 \tabularnewline
0.74 & 13574.2971776017 & 532.919743699573 \tabularnewline
0.75 & 13702.3680597061 & 561.16770489045 \tabularnewline
0.76 & 13840.2781111214 & 595.743159100634 \tabularnewline
0.77 & 13990.7579428458 & 638.598330145428 \tabularnewline
0.78 & 14157.7809612979 & 694.493145082248 \tabularnewline
0.79 & 14347.2169422409 & 771.790671383925 \tabularnewline
0.8 & 14567.366804272 & 881.715597786033 \tabularnewline
0.81 & 14829.028486589 & 1035.09688488533 \tabularnewline
0.82 & 15144.7048242056 & 1237.10949966223 \tabularnewline
0.83 & 15526.6941458401 & 1481.93531783202 \tabularnewline
0.84 & 15984.1451151529 & 1749.85854366731 \tabularnewline
0.85 & 16519.6508689854 & 2008.04899667416 \tabularnewline
0.86 & 17126.4172009955 & 2215.91195800035 \tabularnewline
0.87 & 17787.2003432374 & 2334.5454693512 \tabularnewline
0.88 & 18475.8704658939 & 2337.85680624162 \tabularnewline
0.89 & 19161.6546047174 & 2221.22072168199 \tabularnewline
0.9 & 19815.2028533091 & 2004.03187631838 \tabularnewline
0.91 & 20415.1727849748 & 1725.02851956426 \tabularnewline
0.92 & 20954.7254565325 & 1433.63592762687 \tabularnewline
0.93 & 21450.7477312629 & 1184.33272675517 \tabularnewline
0.94 & 21970.2554907724 & 1047.97829492698 \tabularnewline
0.95 & 22720.2084299274 & 1194.49010204304 \tabularnewline
0.96 & 24292.2231020658 & 2200.48913841605 \tabularnewline
0.97 & 28063.7266502517 & 5447.7573985323 \tabularnewline
0.98 & 36090.3362407776 & 12921.9788459249 \tabularnewline
0.99 & 48650.3537642004 & 24861.3556453671 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238772&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]7054.89163618042[/C][C]375.569629487494[/C][/ROW]
[ROW][C]0.02[/C][C]7348.8037564584[/C][C]559.482786789265[/C][/ROW]
[ROW][C]0.03[/C][C]7683.47252631427[/C][C]547.384204852586[/C][/ROW]
[ROW][C]0.04[/C][C]7978.55897434305[/C][C]445.101507859368[/C][/ROW]
[ROW][C]0.05[/C][C]8208.76544322206[/C][C]359.914130920129[/C][/ROW]
[ROW][C]0.06[/C][C]8385.00126425663[/C][C]317.183546629334[/C][/ROW]
[ROW][C]0.07[/C][C]8526.98717240302[/C][C]300.875976688777[/C][/ROW]
[ROW][C]0.08[/C][C]8649.75445442137[/C][C]296.770235569472[/C][/ROW]
[ROW][C]0.09[/C][C]8761.84417284251[/C][C]298.317700145682[/C][/ROW]
[ROW][C]0.1[/C][C]8867.39798535222[/C][C]301.285254325055[/C][/ROW]
[ROW][C]0.11[/C][C]8968.08925113024[/C][C]302.238203825202[/C][/ROW]
[ROW][C]0.12[/C][C]9064.26449388839[/C][C]299.190912360414[/C][/ROW]
[ROW][C]0.13[/C][C]9155.67135395826[/C][C]292.131487718092[/C][/ROW]
[ROW][C]0.14[/C][C]9242.00331365134[/C][C]282.539862889289[/C][/ROW]
[ROW][C]0.15[/C][C]9323.26543215498[/C][C]272.741690344856[/C][/ROW]
[ROW][C]0.16[/C][C]9399.92461570174[/C][C]265.07601258035[/C][/ROW]
[ROW][C]0.17[/C][C]9472.86323224199[/C][C]261.217203635432[/C][/ROW]
[ROW][C]0.18[/C][C]9543.20549384035[/C][C]261.825611379621[/C][/ROW]
[ROW][C]0.19[/C][C]9612.10020085097[/C][C]266.462107307006[/C][/ROW]
[ROW][C]0.2[/C][C]9680.52913194486[/C][C]273.933016897728[/C][/ROW]
[ROW][C]0.21[/C][C]9749.18311943466[/C][C]282.734203965255[/C][/ROW]
[ROW][C]0.22[/C][C]9818.41906803068[/C][C]291.416141007067[/C][/ROW]
[ROW][C]0.23[/C][C]9888.28763860709[/C][C]298.861778126632[/C][/ROW]
[ROW][C]0.24[/C][C]9958.60670207568[/C][C]304.470872777377[/C][/ROW]
[ROW][C]0.25[/C][C]10029.0511534949[/C][C]307.983379366523[/C][/ROW]
[ROW][C]0.26[/C][C]10099.2340637582[/C][C]309.440071231973[/C][/ROW]
[ROW][C]0.27[/C][C]10168.7642648688[/C][C]309.024448468039[/C][/ROW]
[ROW][C]0.28[/C][C]10237.2771489506[/C][C]306.905064043939[/C][/ROW]
[ROW][C]0.29[/C][C]10304.4448558968[/C][C]303.21548501863[/C][/ROW]
[ROW][C]0.3[/C][C]10369.9767298104[/C][C]297.975775036748[/C][/ROW]
[ROW][C]0.31[/C][C]10433.6205293518[/C][C]291.321598436266[/C][/ROW]
[ROW][C]0.32[/C][C]10495.170729609[/C][C]283.414092303423[/C][/ROW]
[ROW][C]0.33[/C][C]10554.4846568748[/C][C]274.582428171004[/C][/ROW]
[ROW][C]0.34[/C][C]10611.5024395069[/C][C]265.3122918877[/C][/ROW]
[ROW][C]0.35[/C][C]10666.2643515113[/C][C]256.198421080446[/C][/ROW]
[ROW][C]0.36[/C][C]10718.9194832418[/C][C]247.896945240587[/C][/ROW]
[ROW][C]0.37[/C][C]10769.7222097159[/C][C]240.969656819676[/C][/ROW]
[ROW][C]0.38[/C][C]10819.016447819[/C][C]235.892421233626[/C][/ROW]
[ROW][C]0.39[/C][C]10867.2108877379[/C][C]232.955986968787[/C][/ROW]
[ROW][C]0.4[/C][C]10914.7502485663[/C][C]232.264571486995[/C][/ROW]
[ROW][C]0.41[/C][C]10962.0877103808[/C][C]233.746534628505[/C][/ROW]
[ROW][C]0.42[/C][C]11009.6622118298[/C][C]237.252478380522[/C][/ROW]
[ROW][C]0.43[/C][C]11057.8819723967[/C][C]242.601821812666[/C][/ROW]
[ROW][C]0.44[/C][C]11107.1133414495[/C][C]249.555809382615[/C][/ROW]
[ROW][C]0.45[/C][C]11157.6727504063[/C][C]257.872545398332[/C][/ROW]
[ROW][C]0.46[/C][C]11209.8196332607[/C][C]267.284182192799[/C][/ROW]
[ROW][C]0.47[/C][C]11263.7496122422[/C][C]277.472469978276[/C][/ROW]
[ROW][C]0.48[/C][C]11319.5893900948[/C][C]288.024188335176[/C][/ROW]
[ROW][C]0.49[/C][C]11377.3966586227[/C][C]298.507792667607[/C][/ROW]
[ROW][C]0.5[/C][C]11437.1689269881[/C][C]308.592572141161[/C][/ROW]
[ROW][C]0.51[/C][C]11498.8638854158[/C][C]318.007282936417[/C][/ROW]
[ROW][C]0.52[/C][C]11562.4308321486[/C][C]326.759947572429[/C][/ROW]
[ROW][C]0.53[/C][C]11627.848641755[/C][C]335.09796195465[/C][/ROW]
[ROW][C]0.54[/C][C]11695.1621134807[/C][C]343.568486090195[/C][/ROW]
[ROW][C]0.55[/C][C]11764.5067565997[/C][C]352.783991774495[/C][/ROW]
[ROW][C]0.56[/C][C]11836.1131277642[/C][C]363.390457600814[/C][/ROW]
[ROW][C]0.57[/C][C]11910.2858351469[/C][C]375.814769666321[/C][/ROW]
[ROW][C]0.58[/C][C]11987.3583715228[/C][C]390.101850585203[/C][/ROW]
[ROW][C]0.59[/C][C]12067.6313910915[/C][C]405.83416532448[/C][/ROW]
[ROW][C]0.6[/C][C]12151.3070456744[/C][C]422.235528294065[/C][/ROW]
[ROW][C]0.61[/C][C]12238.4340937821[/C][C]438.203823610628[/C][/ROW]
[ROW][C]0.62[/C][C]12328.8771161343[/C][C]452.621865439842[/C][/ROW]
[ROW][C]0.63[/C][C]12422.3187555599[/C][C]464.47218741742[/C][/ROW]
[ROW][C]0.64[/C][C]12518.2976746601[/C][C]473.107897483406[/C][/ROW]
[ROW][C]0.65[/C][C]12616.2784121657[/C][C]478.276979258345[/C][/ROW]
[ROW][C]0.66[/C][C]12715.7438068392[/C][C]480.255560548698[/C][/ROW]
[ROW][C]0.67[/C][C]12816.2968724148[/C][C]479.895734270112[/C][/ROW]
[ROW][C]0.68[/C][C]12917.7571226851[/C][C]478.412176698393[/C][/ROW]
[ROW][C]0.69[/C][C]13020.2363186409[/C][C]477.454895192079[/C][/ROW]
[ROW][C]0.7[/C][C]13124.1806625757[/C][C]478.744792437597[/C][/ROW]
[ROW][C]0.71[/C][C]13230.3714439867[/C][C]483.939579974566[/C][/ROW]
[ROW][C]0.72[/C][C]13339.8854435541[/C][C]494.312956829856[/C][/ROW]
[ROW][C]0.73[/C][C]13454.031215092[/C][C]510.587117450258[/C][/ROW]
[ROW][C]0.74[/C][C]13574.2971776017[/C][C]532.919743699573[/C][/ROW]
[ROW][C]0.75[/C][C]13702.3680597061[/C][C]561.16770489045[/C][/ROW]
[ROW][C]0.76[/C][C]13840.2781111214[/C][C]595.743159100634[/C][/ROW]
[ROW][C]0.77[/C][C]13990.7579428458[/C][C]638.598330145428[/C][/ROW]
[ROW][C]0.78[/C][C]14157.7809612979[/C][C]694.493145082248[/C][/ROW]
[ROW][C]0.79[/C][C]14347.2169422409[/C][C]771.790671383925[/C][/ROW]
[ROW][C]0.8[/C][C]14567.366804272[/C][C]881.715597786033[/C][/ROW]
[ROW][C]0.81[/C][C]14829.028486589[/C][C]1035.09688488533[/C][/ROW]
[ROW][C]0.82[/C][C]15144.7048242056[/C][C]1237.10949966223[/C][/ROW]
[ROW][C]0.83[/C][C]15526.6941458401[/C][C]1481.93531783202[/C][/ROW]
[ROW][C]0.84[/C][C]15984.1451151529[/C][C]1749.85854366731[/C][/ROW]
[ROW][C]0.85[/C][C]16519.6508689854[/C][C]2008.04899667416[/C][/ROW]
[ROW][C]0.86[/C][C]17126.4172009955[/C][C]2215.91195800035[/C][/ROW]
[ROW][C]0.87[/C][C]17787.2003432374[/C][C]2334.5454693512[/C][/ROW]
[ROW][C]0.88[/C][C]18475.8704658939[/C][C]2337.85680624162[/C][/ROW]
[ROW][C]0.89[/C][C]19161.6546047174[/C][C]2221.22072168199[/C][/ROW]
[ROW][C]0.9[/C][C]19815.2028533091[/C][C]2004.03187631838[/C][/ROW]
[ROW][C]0.91[/C][C]20415.1727849748[/C][C]1725.02851956426[/C][/ROW]
[ROW][C]0.92[/C][C]20954.7254565325[/C][C]1433.63592762687[/C][/ROW]
[ROW][C]0.93[/C][C]21450.7477312629[/C][C]1184.33272675517[/C][/ROW]
[ROW][C]0.94[/C][C]21970.2554907724[/C][C]1047.97829492698[/C][/ROW]
[ROW][C]0.95[/C][C]22720.2084299274[/C][C]1194.49010204304[/C][/ROW]
[ROW][C]0.96[/C][C]24292.2231020658[/C][C]2200.48913841605[/C][/ROW]
[ROW][C]0.97[/C][C]28063.7266502517[/C][C]5447.7573985323[/C][/ROW]
[ROW][C]0.98[/C][C]36090.3362407776[/C][C]12921.9788459249[/C][/ROW]
[ROW][C]0.99[/C][C]48650.3537642004[/C][C]24861.3556453671[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238772&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238772&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
0.017054.89163618042375.569629487494
0.027348.8037564584559.482786789265
0.037683.47252631427547.384204852586
0.047978.55897434305445.101507859368
0.058208.76544322206359.914130920129
0.068385.00126425663317.183546629334
0.078526.98717240302300.875976688777
0.088649.75445442137296.770235569472
0.098761.84417284251298.317700145682
0.18867.39798535222301.285254325055
0.118968.08925113024302.238203825202
0.129064.26449388839299.190912360414
0.139155.67135395826292.131487718092
0.149242.00331365134282.539862889289
0.159323.26543215498272.741690344856
0.169399.92461570174265.07601258035
0.179472.86323224199261.217203635432
0.189543.20549384035261.825611379621
0.199612.10020085097266.462107307006
0.29680.52913194486273.933016897728
0.219749.18311943466282.734203965255
0.229818.41906803068291.416141007067
0.239888.28763860709298.861778126632
0.249958.60670207568304.470872777377
0.2510029.0511534949307.983379366523
0.2610099.2340637582309.440071231973
0.2710168.7642648688309.024448468039
0.2810237.2771489506306.905064043939
0.2910304.4448558968303.21548501863
0.310369.9767298104297.975775036748
0.3110433.6205293518291.321598436266
0.3210495.170729609283.414092303423
0.3310554.4846568748274.582428171004
0.3410611.5024395069265.3122918877
0.3510666.2643515113256.198421080446
0.3610718.9194832418247.896945240587
0.3710769.7222097159240.969656819676
0.3810819.016447819235.892421233626
0.3910867.2108877379232.955986968787
0.410914.7502485663232.264571486995
0.4110962.0877103808233.746534628505
0.4211009.6622118298237.252478380522
0.4311057.8819723967242.601821812666
0.4411107.1133414495249.555809382615
0.4511157.6727504063257.872545398332
0.4611209.8196332607267.284182192799
0.4711263.7496122422277.472469978276
0.4811319.5893900948288.024188335176
0.4911377.3966586227298.507792667607
0.511437.1689269881308.592572141161
0.5111498.8638854158318.007282936417
0.5211562.4308321486326.759947572429
0.5311627.848641755335.09796195465
0.5411695.1621134807343.568486090195
0.5511764.5067565997352.783991774495
0.5611836.1131277642363.390457600814
0.5711910.2858351469375.814769666321
0.5811987.3583715228390.101850585203
0.5912067.6313910915405.83416532448
0.612151.3070456744422.235528294065
0.6112238.4340937821438.203823610628
0.6212328.8771161343452.621865439842
0.6312422.3187555599464.47218741742
0.6412518.2976746601473.107897483406
0.6512616.2784121657478.276979258345
0.6612715.7438068392480.255560548698
0.6712816.2968724148479.895734270112
0.6812917.7571226851478.412176698393
0.6913020.2363186409477.454895192079
0.713124.1806625757478.744792437597
0.7113230.3714439867483.939579974566
0.7213339.8854435541494.312956829856
0.7313454.031215092510.587117450258
0.7413574.2971776017532.919743699573
0.7513702.3680597061561.16770489045
0.7613840.2781111214595.743159100634
0.7713990.7579428458638.598330145428
0.7814157.7809612979694.493145082248
0.7914347.2169422409771.790671383925
0.814567.366804272881.715597786033
0.8114829.0284865891035.09688488533
0.8215144.70482420561237.10949966223
0.8315526.69414584011481.93531783202
0.8415984.14511515291749.85854366731
0.8516519.65086898542008.04899667416
0.8617126.41720099552215.91195800035
0.8717787.20034323742334.5454693512
0.8818475.87046589392337.85680624162
0.8919161.65460471742221.22072168199
0.919815.20285330912004.03187631838
0.9120415.17278497481725.02851956426
0.9220954.72545653251433.63592762687
0.9321450.74773126291184.33272675517
0.9421970.25549077241047.97829492698
0.9522720.20842992741194.49010204304
0.9624292.22310206582200.48913841605
0.9728063.72665025175447.7573985323
0.9836090.336240777612921.9788459249
0.9948650.353764200424861.3556453671


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ; par2 = 0.90 ; par3 = 0.10 ;
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')