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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 computationTue, 09 Mar 2010 11:32:09 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Mar/09/t126815957762m7sfon823p9bd.htm/, Retrieved Tue, 16 Apr 2024 11:01:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74210, Retrieved Tue, 16 Apr 2024 11:01:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W41
Estimated Impact190

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] [] [2010-03-09 18:32:09] [f0cd0ad4d4cb2a25864ed1f6cd7bfd87] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7089
77102
35123
23109
11115
48105
7896
79102
2494
76101
9484
8183
9092
49109
27127
31116
77120
80115
67117
18110
3099
3105
5786
7387
5089
288
65108
44100
68102
8798
8183
288
3680
9374
2271
4671
3466
8068
2780
9883
6479
3373
6468
460
5553
6157
2345
3744
6144
9948
2049
9549
6049
745
9643
9938
5535
6932
1827
9726
7624
9529
7631
6132
7534
2137
8738
8836
3230
633
9126
123

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74210&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74210&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74210&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01171.247391674316138.062110280149
0.02246.903622886696138.365390465809
0.03339.078787129237198.555515009444
0.04451.850162754874302.791356942396
0.05593.393887205535425.729964250954
0.06766.66418750145543.989044564677
0.07967.116826372884635.922189357293
0.081184.59820490750686.879260930366
0.091406.68146367540693.84765860543
0.11621.98940062680665.482782867414
0.111822.57740316375617.687665040214
0.122004.86813327468567.387496704616
0.132169.19946677376527.252315799865
0.142318.51924870734503.072700190493
0.152456.90522536821494.42692998237
0.162588.42278138105497.723531613627
0.172716.53064833768509.404890002298
0.182843.97788785672527.724289332432
0.192972.99086940428552.906456609218
0.23105.5284709868586.299174669121
0.213243.44395295526629.106283253424
0.223388.48222702095681.239021675502
0.233542.12387543975740.731058398866
0.243705.34226865069803.755828361238
0.253878.36199654149865.2183383298
0.264060.49949079185919.605635236693
0.274250.13911707047961.864170716364
0.284444.860916886988.196247054213
0.294641.69983283122996.586617728233
0.34837.48869486348987.111981117635
0.315029.22319025093961.749543530634
0.325214.38748505129924.116077416168
0.335391.19180715196878.82167553668
0.345558.69361812905830.833763700749
0.355716.79668404102784.884207503943
0.365866.14265984207744.812768495332
0.376007.92446823952713.21041693763
0.386143.65832898309691.185260412787
0.396274.95193100456678.368566370427
0.46403.30118800621673.21422094718
0.416529.9390701688673.447022713063
0.426655.74906424961676.554750549135
0.436781.24464667011680.247609180852
0.446906.60627042808682.763745771813
0.457031.75995933057682.999834494935
0.467156.47747247384680.609692900543
0.477280.47746766174675.851521949298
0.487403.50992948255669.411643479386
0.497525.41158074068662.185333616783
0.57646.12690398425655.042683861986
0.517765.69642192008648.604998456846
0.527884.21977697433643.10676385315
0.538001.80502092603638.380627441882
0.548118.5170134704633.922284202482
0.558234.337149934628.975703119354
0.568349.1445070352622.743009657198
0.578462.72593621892614.564738453543
0.588574.8207302799604.107657540377
0.598685.20511095032591.546677933824
0.68793.82333332778577.709038686561
0.618900.97539265716564.499130938264
0.629007.57502706397555.101916032423
0.639115.49392135199554.760787298199
0.649228.0059421604571.552830002704
0.659350.3357119846617.294172844528
0.669490.29614010142707.72593347491
0.679658.96867618455861.439888110877
0.689871.340354961961098.34005678478
0.6910146.77020683931438.14516305973
0.710509.12651349251899.1343226343
0.7110986.43146527192495.80597494981
0.7211609.88622756903235.85902456031
0.7312412.23546736114116.93346833305
0.7413425.56044287985124.32274661924
0.7514678.74026552106230.28542111504
0.7616194.95217992587395.62965981943
0.7717989.64714011158573.71906796595
0.7820069.39837275569716.12576023986
0.7922431.863682146510778.8505817574
0.825066.845939849911727.8470591959
0.8127958.132388946612541.9012094371
0.8231085.518580144813212.3425315351
0.8334426.267238107513739.2941342264
0.8437955.307379963314124.7347198500
0.8541643.810996459514364.1300029859
0.8645456.381498065814438.9120608068
0.8749347.787966276414314.2545454305
0.8853260.648079627913945.6094428329
0.8957125.329385806313294.4231280696
0.960862.523777400512347.0671494552
0.9164387.986283081811125.4207886349
0.9267618.80996076899681.95421802739
0.9370481.80697344388085.56455782111
0.9472925.71331118886418.84008290424
0.9574936.85328998024796.00211747692
0.9676550.61733425443376.35799471583
0.9777842.51503714812316.25493706593
0.9878883.88953065321637.93327650191
0.9979673.40169172291210.33173491389

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 171.247391674316 & 138.062110280149 \tabularnewline
0.02 & 246.903622886696 & 138.365390465809 \tabularnewline
0.03 & 339.078787129237 & 198.555515009444 \tabularnewline
0.04 & 451.850162754874 & 302.791356942396 \tabularnewline
0.05 & 593.393887205535 & 425.729964250954 \tabularnewline
0.06 & 766.66418750145 & 543.989044564677 \tabularnewline
0.07 & 967.116826372884 & 635.922189357293 \tabularnewline
0.08 & 1184.59820490750 & 686.879260930366 \tabularnewline
0.09 & 1406.68146367540 & 693.84765860543 \tabularnewline
0.1 & 1621.98940062680 & 665.482782867414 \tabularnewline
0.11 & 1822.57740316375 & 617.687665040214 \tabularnewline
0.12 & 2004.86813327468 & 567.387496704616 \tabularnewline
0.13 & 2169.19946677376 & 527.252315799865 \tabularnewline
0.14 & 2318.51924870734 & 503.072700190493 \tabularnewline
0.15 & 2456.90522536821 & 494.42692998237 \tabularnewline
0.16 & 2588.42278138105 & 497.723531613627 \tabularnewline
0.17 & 2716.53064833768 & 509.404890002298 \tabularnewline
0.18 & 2843.97788785672 & 527.724289332432 \tabularnewline
0.19 & 2972.99086940428 & 552.906456609218 \tabularnewline
0.2 & 3105.5284709868 & 586.299174669121 \tabularnewline
0.21 & 3243.44395295526 & 629.106283253424 \tabularnewline
0.22 & 3388.48222702095 & 681.239021675502 \tabularnewline
0.23 & 3542.12387543975 & 740.731058398866 \tabularnewline
0.24 & 3705.34226865069 & 803.755828361238 \tabularnewline
0.25 & 3878.36199654149 & 865.2183383298 \tabularnewline
0.26 & 4060.49949079185 & 919.605635236693 \tabularnewline
0.27 & 4250.13911707047 & 961.864170716364 \tabularnewline
0.28 & 4444.860916886 & 988.196247054213 \tabularnewline
0.29 & 4641.69983283122 & 996.586617728233 \tabularnewline
0.3 & 4837.48869486348 & 987.111981117635 \tabularnewline
0.31 & 5029.22319025093 & 961.749543530634 \tabularnewline
0.32 & 5214.38748505129 & 924.116077416168 \tabularnewline
0.33 & 5391.19180715196 & 878.82167553668 \tabularnewline
0.34 & 5558.69361812905 & 830.833763700749 \tabularnewline
0.35 & 5716.79668404102 & 784.884207503943 \tabularnewline
0.36 & 5866.14265984207 & 744.812768495332 \tabularnewline
0.37 & 6007.92446823952 & 713.21041693763 \tabularnewline
0.38 & 6143.65832898309 & 691.185260412787 \tabularnewline
0.39 & 6274.95193100456 & 678.368566370427 \tabularnewline
0.4 & 6403.30118800621 & 673.21422094718 \tabularnewline
0.41 & 6529.9390701688 & 673.447022713063 \tabularnewline
0.42 & 6655.74906424961 & 676.554750549135 \tabularnewline
0.43 & 6781.24464667011 & 680.247609180852 \tabularnewline
0.44 & 6906.60627042808 & 682.763745771813 \tabularnewline
0.45 & 7031.75995933057 & 682.999834494935 \tabularnewline
0.46 & 7156.47747247384 & 680.609692900543 \tabularnewline
0.47 & 7280.47746766174 & 675.851521949298 \tabularnewline
0.48 & 7403.50992948255 & 669.411643479386 \tabularnewline
0.49 & 7525.41158074068 & 662.185333616783 \tabularnewline
0.5 & 7646.12690398425 & 655.042683861986 \tabularnewline
0.51 & 7765.69642192008 & 648.604998456846 \tabularnewline
0.52 & 7884.21977697433 & 643.10676385315 \tabularnewline
0.53 & 8001.80502092603 & 638.380627441882 \tabularnewline
0.54 & 8118.5170134704 & 633.922284202482 \tabularnewline
0.55 & 8234.337149934 & 628.975703119354 \tabularnewline
0.56 & 8349.1445070352 & 622.743009657198 \tabularnewline
0.57 & 8462.72593621892 & 614.564738453543 \tabularnewline
0.58 & 8574.8207302799 & 604.107657540377 \tabularnewline
0.59 & 8685.20511095032 & 591.546677933824 \tabularnewline
0.6 & 8793.82333332778 & 577.709038686561 \tabularnewline
0.61 & 8900.97539265716 & 564.499130938264 \tabularnewline
0.62 & 9007.57502706397 & 555.101916032423 \tabularnewline
0.63 & 9115.49392135199 & 554.760787298199 \tabularnewline
0.64 & 9228.0059421604 & 571.552830002704 \tabularnewline
0.65 & 9350.3357119846 & 617.294172844528 \tabularnewline
0.66 & 9490.29614010142 & 707.72593347491 \tabularnewline
0.67 & 9658.96867618455 & 861.439888110877 \tabularnewline
0.68 & 9871.34035496196 & 1098.34005678478 \tabularnewline
0.69 & 10146.7702068393 & 1438.14516305973 \tabularnewline
0.7 & 10509.1265134925 & 1899.1343226343 \tabularnewline
0.71 & 10986.4314652719 & 2495.80597494981 \tabularnewline
0.72 & 11609.8862275690 & 3235.85902456031 \tabularnewline
0.73 & 12412.2354673611 & 4116.93346833305 \tabularnewline
0.74 & 13425.5604428798 & 5124.32274661924 \tabularnewline
0.75 & 14678.7402655210 & 6230.28542111504 \tabularnewline
0.76 & 16194.9521799258 & 7395.62965981943 \tabularnewline
0.77 & 17989.6471401115 & 8573.71906796595 \tabularnewline
0.78 & 20069.3983727556 & 9716.12576023986 \tabularnewline
0.79 & 22431.8636821465 & 10778.8505817574 \tabularnewline
0.8 & 25066.8459398499 & 11727.8470591959 \tabularnewline
0.81 & 27958.1323889466 & 12541.9012094371 \tabularnewline
0.82 & 31085.5185801448 & 13212.3425315351 \tabularnewline
0.83 & 34426.2672381075 & 13739.2941342264 \tabularnewline
0.84 & 37955.3073799633 & 14124.7347198500 \tabularnewline
0.85 & 41643.8109964595 & 14364.1300029859 \tabularnewline
0.86 & 45456.3814980658 & 14438.9120608068 \tabularnewline
0.87 & 49347.7879662764 & 14314.2545454305 \tabularnewline
0.88 & 53260.6480796279 & 13945.6094428329 \tabularnewline
0.89 & 57125.3293858063 & 13294.4231280696 \tabularnewline
0.9 & 60862.5237774005 & 12347.0671494552 \tabularnewline
0.91 & 64387.9862830818 & 11125.4207886349 \tabularnewline
0.92 & 67618.8099607689 & 9681.95421802739 \tabularnewline
0.93 & 70481.8069734438 & 8085.56455782111 \tabularnewline
0.94 & 72925.7133111888 & 6418.84008290424 \tabularnewline
0.95 & 74936.8532899802 & 4796.00211747692 \tabularnewline
0.96 & 76550.6173342544 & 3376.35799471583 \tabularnewline
0.97 & 77842.5150371481 & 2316.25493706593 \tabularnewline
0.98 & 78883.8895306532 & 1637.93327650191 \tabularnewline
0.99 & 79673.4016917229 & 1210.33173491389 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74210&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]171.247391674316[/C][C]138.062110280149[/C][/ROW]
[ROW][C]0.02[/C][C]246.903622886696[/C][C]138.365390465809[/C][/ROW]
[ROW][C]0.03[/C][C]339.078787129237[/C][C]198.555515009444[/C][/ROW]
[ROW][C]0.04[/C][C]451.850162754874[/C][C]302.791356942396[/C][/ROW]
[ROW][C]0.05[/C][C]593.393887205535[/C][C]425.729964250954[/C][/ROW]
[ROW][C]0.06[/C][C]766.66418750145[/C][C]543.989044564677[/C][/ROW]
[ROW][C]0.07[/C][C]967.116826372884[/C][C]635.922189357293[/C][/ROW]
[ROW][C]0.08[/C][C]1184.59820490750[/C][C]686.879260930366[/C][/ROW]
[ROW][C]0.09[/C][C]1406.68146367540[/C][C]693.84765860543[/C][/ROW]
[ROW][C]0.1[/C][C]1621.98940062680[/C][C]665.482782867414[/C][/ROW]
[ROW][C]0.11[/C][C]1822.57740316375[/C][C]617.687665040214[/C][/ROW]
[ROW][C]0.12[/C][C]2004.86813327468[/C][C]567.387496704616[/C][/ROW]
[ROW][C]0.13[/C][C]2169.19946677376[/C][C]527.252315799865[/C][/ROW]
[ROW][C]0.14[/C][C]2318.51924870734[/C][C]503.072700190493[/C][/ROW]
[ROW][C]0.15[/C][C]2456.90522536821[/C][C]494.42692998237[/C][/ROW]
[ROW][C]0.16[/C][C]2588.42278138105[/C][C]497.723531613627[/C][/ROW]
[ROW][C]0.17[/C][C]2716.53064833768[/C][C]509.404890002298[/C][/ROW]
[ROW][C]0.18[/C][C]2843.97788785672[/C][C]527.724289332432[/C][/ROW]
[ROW][C]0.19[/C][C]2972.99086940428[/C][C]552.906456609218[/C][/ROW]
[ROW][C]0.2[/C][C]3105.5284709868[/C][C]586.299174669121[/C][/ROW]
[ROW][C]0.21[/C][C]3243.44395295526[/C][C]629.106283253424[/C][/ROW]
[ROW][C]0.22[/C][C]3388.48222702095[/C][C]681.239021675502[/C][/ROW]
[ROW][C]0.23[/C][C]3542.12387543975[/C][C]740.731058398866[/C][/ROW]
[ROW][C]0.24[/C][C]3705.34226865069[/C][C]803.755828361238[/C][/ROW]
[ROW][C]0.25[/C][C]3878.36199654149[/C][C]865.2183383298[/C][/ROW]
[ROW][C]0.26[/C][C]4060.49949079185[/C][C]919.605635236693[/C][/ROW]
[ROW][C]0.27[/C][C]4250.13911707047[/C][C]961.864170716364[/C][/ROW]
[ROW][C]0.28[/C][C]4444.860916886[/C][C]988.196247054213[/C][/ROW]
[ROW][C]0.29[/C][C]4641.69983283122[/C][C]996.586617728233[/C][/ROW]
[ROW][C]0.3[/C][C]4837.48869486348[/C][C]987.111981117635[/C][/ROW]
[ROW][C]0.31[/C][C]5029.22319025093[/C][C]961.749543530634[/C][/ROW]
[ROW][C]0.32[/C][C]5214.38748505129[/C][C]924.116077416168[/C][/ROW]
[ROW][C]0.33[/C][C]5391.19180715196[/C][C]878.82167553668[/C][/ROW]
[ROW][C]0.34[/C][C]5558.69361812905[/C][C]830.833763700749[/C][/ROW]
[ROW][C]0.35[/C][C]5716.79668404102[/C][C]784.884207503943[/C][/ROW]
[ROW][C]0.36[/C][C]5866.14265984207[/C][C]744.812768495332[/C][/ROW]
[ROW][C]0.37[/C][C]6007.92446823952[/C][C]713.21041693763[/C][/ROW]
[ROW][C]0.38[/C][C]6143.65832898309[/C][C]691.185260412787[/C][/ROW]
[ROW][C]0.39[/C][C]6274.95193100456[/C][C]678.368566370427[/C][/ROW]
[ROW][C]0.4[/C][C]6403.30118800621[/C][C]673.21422094718[/C][/ROW]
[ROW][C]0.41[/C][C]6529.9390701688[/C][C]673.447022713063[/C][/ROW]
[ROW][C]0.42[/C][C]6655.74906424961[/C][C]676.554750549135[/C][/ROW]
[ROW][C]0.43[/C][C]6781.24464667011[/C][C]680.247609180852[/C][/ROW]
[ROW][C]0.44[/C][C]6906.60627042808[/C][C]682.763745771813[/C][/ROW]
[ROW][C]0.45[/C][C]7031.75995933057[/C][C]682.999834494935[/C][/ROW]
[ROW][C]0.46[/C][C]7156.47747247384[/C][C]680.609692900543[/C][/ROW]
[ROW][C]0.47[/C][C]7280.47746766174[/C][C]675.851521949298[/C][/ROW]
[ROW][C]0.48[/C][C]7403.50992948255[/C][C]669.411643479386[/C][/ROW]
[ROW][C]0.49[/C][C]7525.41158074068[/C][C]662.185333616783[/C][/ROW]
[ROW][C]0.5[/C][C]7646.12690398425[/C][C]655.042683861986[/C][/ROW]
[ROW][C]0.51[/C][C]7765.69642192008[/C][C]648.604998456846[/C][/ROW]
[ROW][C]0.52[/C][C]7884.21977697433[/C][C]643.10676385315[/C][/ROW]
[ROW][C]0.53[/C][C]8001.80502092603[/C][C]638.380627441882[/C][/ROW]
[ROW][C]0.54[/C][C]8118.5170134704[/C][C]633.922284202482[/C][/ROW]
[ROW][C]0.55[/C][C]8234.337149934[/C][C]628.975703119354[/C][/ROW]
[ROW][C]0.56[/C][C]8349.1445070352[/C][C]622.743009657198[/C][/ROW]
[ROW][C]0.57[/C][C]8462.72593621892[/C][C]614.564738453543[/C][/ROW]
[ROW][C]0.58[/C][C]8574.8207302799[/C][C]604.107657540377[/C][/ROW]
[ROW][C]0.59[/C][C]8685.20511095032[/C][C]591.546677933824[/C][/ROW]
[ROW][C]0.6[/C][C]8793.82333332778[/C][C]577.709038686561[/C][/ROW]
[ROW][C]0.61[/C][C]8900.97539265716[/C][C]564.499130938264[/C][/ROW]
[ROW][C]0.62[/C][C]9007.57502706397[/C][C]555.101916032423[/C][/ROW]
[ROW][C]0.63[/C][C]9115.49392135199[/C][C]554.760787298199[/C][/ROW]
[ROW][C]0.64[/C][C]9228.0059421604[/C][C]571.552830002704[/C][/ROW]
[ROW][C]0.65[/C][C]9350.3357119846[/C][C]617.294172844528[/C][/ROW]
[ROW][C]0.66[/C][C]9490.29614010142[/C][C]707.72593347491[/C][/ROW]
[ROW][C]0.67[/C][C]9658.96867618455[/C][C]861.439888110877[/C][/ROW]
[ROW][C]0.68[/C][C]9871.34035496196[/C][C]1098.34005678478[/C][/ROW]
[ROW][C]0.69[/C][C]10146.7702068393[/C][C]1438.14516305973[/C][/ROW]
[ROW][C]0.7[/C][C]10509.1265134925[/C][C]1899.1343226343[/C][/ROW]
[ROW][C]0.71[/C][C]10986.4314652719[/C][C]2495.80597494981[/C][/ROW]
[ROW][C]0.72[/C][C]11609.8862275690[/C][C]3235.85902456031[/C][/ROW]
[ROW][C]0.73[/C][C]12412.2354673611[/C][C]4116.93346833305[/C][/ROW]
[ROW][C]0.74[/C][C]13425.5604428798[/C][C]5124.32274661924[/C][/ROW]
[ROW][C]0.75[/C][C]14678.7402655210[/C][C]6230.28542111504[/C][/ROW]
[ROW][C]0.76[/C][C]16194.9521799258[/C][C]7395.62965981943[/C][/ROW]
[ROW][C]0.77[/C][C]17989.6471401115[/C][C]8573.71906796595[/C][/ROW]
[ROW][C]0.78[/C][C]20069.3983727556[/C][C]9716.12576023986[/C][/ROW]
[ROW][C]0.79[/C][C]22431.8636821465[/C][C]10778.8505817574[/C][/ROW]
[ROW][C]0.8[/C][C]25066.8459398499[/C][C]11727.8470591959[/C][/ROW]
[ROW][C]0.81[/C][C]27958.1323889466[/C][C]12541.9012094371[/C][/ROW]
[ROW][C]0.82[/C][C]31085.5185801448[/C][C]13212.3425315351[/C][/ROW]
[ROW][C]0.83[/C][C]34426.2672381075[/C][C]13739.2941342264[/C][/ROW]
[ROW][C]0.84[/C][C]37955.3073799633[/C][C]14124.7347198500[/C][/ROW]
[ROW][C]0.85[/C][C]41643.8109964595[/C][C]14364.1300029859[/C][/ROW]
[ROW][C]0.86[/C][C]45456.3814980658[/C][C]14438.9120608068[/C][/ROW]
[ROW][C]0.87[/C][C]49347.7879662764[/C][C]14314.2545454305[/C][/ROW]
[ROW][C]0.88[/C][C]53260.6480796279[/C][C]13945.6094428329[/C][/ROW]
[ROW][C]0.89[/C][C]57125.3293858063[/C][C]13294.4231280696[/C][/ROW]
[ROW][C]0.9[/C][C]60862.5237774005[/C][C]12347.0671494552[/C][/ROW]
[ROW][C]0.91[/C][C]64387.9862830818[/C][C]11125.4207886349[/C][/ROW]
[ROW][C]0.92[/C][C]67618.8099607689[/C][C]9681.95421802739[/C][/ROW]
[ROW][C]0.93[/C][C]70481.8069734438[/C][C]8085.56455782111[/C][/ROW]
[ROW][C]0.94[/C][C]72925.7133111888[/C][C]6418.84008290424[/C][/ROW]
[ROW][C]0.95[/C][C]74936.8532899802[/C][C]4796.00211747692[/C][/ROW]
[ROW][C]0.96[/C][C]76550.6173342544[/C][C]3376.35799471583[/C][/ROW]
[ROW][C]0.97[/C][C]77842.5150371481[/C][C]2316.25493706593[/C][/ROW]
[ROW][C]0.98[/C][C]78883.8895306532[/C][C]1637.93327650191[/C][/ROW]
[ROW][C]0.99[/C][C]79673.4016917229[/C][C]1210.33173491389[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74210&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74210&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
0.01171.247391674316138.062110280149
0.02246.903622886696138.365390465809
0.03339.078787129237198.555515009444
0.04451.850162754874302.791356942396
0.05593.393887205535425.729964250954
0.06766.66418750145543.989044564677
0.07967.116826372884635.922189357293
0.081184.59820490750686.879260930366
0.091406.68146367540693.84765860543
0.11621.98940062680665.482782867414
0.111822.57740316375617.687665040214
0.122004.86813327468567.387496704616
0.132169.19946677376527.252315799865
0.142318.51924870734503.072700190493
0.152456.90522536821494.42692998237
0.162588.42278138105497.723531613627
0.172716.53064833768509.404890002298
0.182843.97788785672527.724289332432
0.192972.99086940428552.906456609218
0.23105.5284709868586.299174669121
0.213243.44395295526629.106283253424
0.223388.48222702095681.239021675502
0.233542.12387543975740.731058398866
0.243705.34226865069803.755828361238
0.253878.36199654149865.2183383298
0.264060.49949079185919.605635236693
0.274250.13911707047961.864170716364
0.284444.860916886988.196247054213
0.294641.69983283122996.586617728233
0.34837.48869486348987.111981117635
0.315029.22319025093961.749543530634
0.325214.38748505129924.116077416168
0.335391.19180715196878.82167553668
0.345558.69361812905830.833763700749
0.355716.79668404102784.884207503943
0.365866.14265984207744.812768495332
0.376007.92446823952713.21041693763
0.386143.65832898309691.185260412787
0.396274.95193100456678.368566370427
0.46403.30118800621673.21422094718
0.416529.9390701688673.447022713063
0.426655.74906424961676.554750549135
0.436781.24464667011680.247609180852
0.446906.60627042808682.763745771813
0.457031.75995933057682.999834494935
0.467156.47747247384680.609692900543
0.477280.47746766174675.851521949298
0.487403.50992948255669.411643479386
0.497525.41158074068662.185333616783
0.57646.12690398425655.042683861986
0.517765.69642192008648.604998456846
0.527884.21977697433643.10676385315
0.538001.80502092603638.380627441882
0.548118.5170134704633.922284202482
0.558234.337149934628.975703119354
0.568349.1445070352622.743009657198
0.578462.72593621892614.564738453543
0.588574.8207302799604.107657540377
0.598685.20511095032591.546677933824
0.68793.82333332778577.709038686561
0.618900.97539265716564.499130938264
0.629007.57502706397555.101916032423
0.639115.49392135199554.760787298199
0.649228.0059421604571.552830002704
0.659350.3357119846617.294172844528
0.669490.29614010142707.72593347491
0.679658.96867618455861.439888110877
0.689871.340354961961098.34005678478
0.6910146.77020683931438.14516305973
0.710509.12651349251899.1343226343
0.7110986.43146527192495.80597494981
0.7211609.88622756903235.85902456031
0.7312412.23546736114116.93346833305
0.7413425.56044287985124.32274661924
0.7514678.74026552106230.28542111504
0.7616194.95217992587395.62965981943
0.7717989.64714011158573.71906796595
0.7820069.39837275569716.12576023986
0.7922431.863682146510778.8505817574
0.825066.845939849911727.8470591959
0.8127958.132388946612541.9012094371
0.8231085.518580144813212.3425315351
0.8334426.267238107513739.2941342264
0.8437955.307379963314124.7347198500
0.8541643.810996459514364.1300029859
0.8645456.381498065814438.9120608068
0.8749347.787966276414314.2545454305
0.8853260.648079627913945.6094428329
0.8957125.329385806313294.4231280696
0.960862.523777400512347.0671494552
0.9164387.986283081811125.4207886349
0.9267618.80996076899681.95421802739
0.9370481.80697344388085.56455782111
0.9472925.71331118886418.84008290424
0.9574936.85328998024796.00211747692
0.9676550.61733425443376.35799471583
0.9777842.51503714812316.25493706593
0.9878883.88953065321637.93327650191
0.9979673.40169172291210.33173491389


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')