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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, 12 Apr 2011 17:23:00 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Apr/12/t1302628751qjoyntslte3fmx1.htm/, Retrieved Sat, 18 Apr 2026 08:00:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=120542, Retrieved Sat, 18 Apr 2026 08:00:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact350

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2011-04-12 17:23:00] [f0cd0ad4d4cb2a25864ed1f6cd7bfd87] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7989
41102
9123
22109
47115
9105
5496
23102
6994
84101
5884
6383
6292
36109
49127
26116
63120
60115
77117
18110
3999
79105
2286
7487
7789
3788
83108
52100
93102
598
8983
3488
2780
7974
9171
3071
4166
7968
6580
7183
2779
5273
1568
1860
9853
6757
6745
5144
9444
2248
7349
8149
7949
3545
1043
4038
4335
5432
8027
8626
24
4829
931
232
9034
1337
5138
9736
7730
7133
8126
424

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' @ www.wessa.org

\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' @ www.wessa.org \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=120542&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' @ www.wessa.org[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=120542&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=120542&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' @ www.wessa.org






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0198.7755578261979207.553435369954
0.02221.439573050673233.156068045209
0.03365.241637514526278.744323659495
0.04517.480169275108330.379297861245
0.05675.217628724509380.418927516284
0.06838.219213568903427.060584435571
0.071006.27052682836471.255276748496
0.081178.92358200727513.779675369414
0.091355.59893275182553.819511221316
0.11535.52115700375589.484103769709
0.111717.63626282951619.043128686559
0.121900.65794118397641.74868720372
0.132083.23100887189657.943744413525
0.142264.11625710063668.651960281561
0.152442.31377429457675.055932571206
0.162617.09876169688678.114538965475
0.172787.99374297632678.452873325814
0.182954.72081213117676.524032037034
0.193117.1690688615672.841455248511
0.23275.38962951428668.195567311499
0.213429.6084252073663.679495981691
0.223580.2350556456660.557860353184
0.233727.84703349603659.964797389552
0.243873.13985246249662.595894409419
0.254016.84824131351668.500538945495
0.264159.65617172548677.060160840016
0.274302.11812613198687.192808286205
0.284444.61054718778697.681544883331
0.294587.32229529641707.472757462484
0.34730.28048953675715.929902752028
0.314873.39787957962722.815510304447
0.325016.52323600245728.275719243921
0.335159.47822281784732.543041716796
0.345302.07149356601735.763431567895
0.355444.09031499937737.805842752924
0.365585.27839882005738.228998541947
0.375725.31312202228736.38233344101
0.385863.79484608077731.590505663595
0.396000.25627273836723.328401497805
0.46134.19268255868711.413805369118
0.416265.10697340126696.058184143892
0.426392.55877764132677.837447139219
0.436516.20576248782657.602286921336
0.446635.82752297993636.258376590829
0.456751.32730225823614.677764579228
0.466862.71261133494593.460762517631
0.476970.06110723807572.926916448787
0.487073.4816002243553.060913838173
0.497173.08113118746533.654680607823
0.57268.9476158034514.365168661065
0.517361.15401837817494.966210773165
0.527449.78517087136475.433792883412
0.537534.98316395988456.107048302497
0.547617.00275095813437.749926549742
0.557696.2654290109421.495469216802
0.567773.40065720958408.809571341128
0.577849.26562699235401.27957153427
0.587924.94128148787400.353199175612
0.598001.71147260786407.142310155676
0.68081.04312550601422.28172816811
0.618164.59616507628446.092243693508
0.628254.30016798112479.121809393927
0.638352.53719584513522.946648360123
0.648462.46399346865581.202186520869
0.658588.48935077452660.792795826256
0.668736.89322336039772.679000521918
0.678916.53519604179932.045466574933
0.689139.556691681191157.19877460873
0.699421.943455732241467.54835363344
0.79783.79450506331881.31869287844
0.7110249.15293217472413.04514655757
0.7210845.29986290093071.09522047916
0.7311601.492678593855.54551287301
0.7412547.22650462624756.62416490376
0.7513710.18706514395754.51024269113
0.7615114.11431643036820.41994243933
0.7716776.79311019067918.60660308216
0.7818708.33898155079008.86812035986
0.7920909.893434020810048.4914996098
0.823372.838490773310993.7877556893
0.8126078.721083654111801.8354459021
0.8229000.221854874412433.6670268175
0.8332103.607002896212860.3822758471
0.8435353.001820947413071.9709862129
0.8538716.367187119713086.6358695929
0.8642172.208102070712956.2271836269
0.8745714.972285768912761.7043244443
0.8849356.238064439312593.4273887238
0.8953118.780534722312515.0312350869
0.957022.108303745612520.5732865321
0.9161061.442396120712507.0340505203
0.9265186.991945368512286.8200525594
0.9369295.402328466811650.6519118678
0.9473248.222563065510468.1183755341
0.9576929.68729714588792.65728276651
0.9680338.75503506256939.7788774463
0.9783656.48422778765564.49945030913
0.9887131.64512697585613.10519079041
0.9990621.06311727777198.89552818976

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 98.7755578261979 & 207.553435369954 \tabularnewline
0.02 & 221.439573050673 & 233.156068045209 \tabularnewline
0.03 & 365.241637514526 & 278.744323659495 \tabularnewline
0.04 & 517.480169275108 & 330.379297861245 \tabularnewline
0.05 & 675.217628724509 & 380.418927516284 \tabularnewline
0.06 & 838.219213568903 & 427.060584435571 \tabularnewline
0.07 & 1006.27052682836 & 471.255276748496 \tabularnewline
0.08 & 1178.92358200727 & 513.779675369414 \tabularnewline
0.09 & 1355.59893275182 & 553.819511221316 \tabularnewline
0.1 & 1535.52115700375 & 589.484103769709 \tabularnewline
0.11 & 1717.63626282951 & 619.043128686559 \tabularnewline
0.12 & 1900.65794118397 & 641.74868720372 \tabularnewline
0.13 & 2083.23100887189 & 657.943744413525 \tabularnewline
0.14 & 2264.11625710063 & 668.651960281561 \tabularnewline
0.15 & 2442.31377429457 & 675.055932571206 \tabularnewline
0.16 & 2617.09876169688 & 678.114538965475 \tabularnewline
0.17 & 2787.99374297632 & 678.452873325814 \tabularnewline
0.18 & 2954.72081213117 & 676.524032037034 \tabularnewline
0.19 & 3117.1690688615 & 672.841455248511 \tabularnewline
0.2 & 3275.38962951428 & 668.195567311499 \tabularnewline
0.21 & 3429.6084252073 & 663.679495981691 \tabularnewline
0.22 & 3580.2350556456 & 660.557860353184 \tabularnewline
0.23 & 3727.84703349603 & 659.964797389552 \tabularnewline
0.24 & 3873.13985246249 & 662.595894409419 \tabularnewline
0.25 & 4016.84824131351 & 668.500538945495 \tabularnewline
0.26 & 4159.65617172548 & 677.060160840016 \tabularnewline
0.27 & 4302.11812613198 & 687.192808286205 \tabularnewline
0.28 & 4444.61054718778 & 697.681544883331 \tabularnewline
0.29 & 4587.32229529641 & 707.472757462484 \tabularnewline
0.3 & 4730.28048953675 & 715.929902752028 \tabularnewline
0.31 & 4873.39787957962 & 722.815510304447 \tabularnewline
0.32 & 5016.52323600245 & 728.275719243921 \tabularnewline
0.33 & 5159.47822281784 & 732.543041716796 \tabularnewline
0.34 & 5302.07149356601 & 735.763431567895 \tabularnewline
0.35 & 5444.09031499937 & 737.805842752924 \tabularnewline
0.36 & 5585.27839882005 & 738.228998541947 \tabularnewline
0.37 & 5725.31312202228 & 736.38233344101 \tabularnewline
0.38 & 5863.79484608077 & 731.590505663595 \tabularnewline
0.39 & 6000.25627273836 & 723.328401497805 \tabularnewline
0.4 & 6134.19268255868 & 711.413805369118 \tabularnewline
0.41 & 6265.10697340126 & 696.058184143892 \tabularnewline
0.42 & 6392.55877764132 & 677.837447139219 \tabularnewline
0.43 & 6516.20576248782 & 657.602286921336 \tabularnewline
0.44 & 6635.82752297993 & 636.258376590829 \tabularnewline
0.45 & 6751.32730225823 & 614.677764579228 \tabularnewline
0.46 & 6862.71261133494 & 593.460762517631 \tabularnewline
0.47 & 6970.06110723807 & 572.926916448787 \tabularnewline
0.48 & 7073.4816002243 & 553.060913838173 \tabularnewline
0.49 & 7173.08113118746 & 533.654680607823 \tabularnewline
0.5 & 7268.9476158034 & 514.365168661065 \tabularnewline
0.51 & 7361.15401837817 & 494.966210773165 \tabularnewline
0.52 & 7449.78517087136 & 475.433792883412 \tabularnewline
0.53 & 7534.98316395988 & 456.107048302497 \tabularnewline
0.54 & 7617.00275095813 & 437.749926549742 \tabularnewline
0.55 & 7696.2654290109 & 421.495469216802 \tabularnewline
0.56 & 7773.40065720958 & 408.809571341128 \tabularnewline
0.57 & 7849.26562699235 & 401.27957153427 \tabularnewline
0.58 & 7924.94128148787 & 400.353199175612 \tabularnewline
0.59 & 8001.71147260786 & 407.142310155676 \tabularnewline
0.6 & 8081.04312550601 & 422.28172816811 \tabularnewline
0.61 & 8164.59616507628 & 446.092243693508 \tabularnewline
0.62 & 8254.30016798112 & 479.121809393927 \tabularnewline
0.63 & 8352.53719584513 & 522.946648360123 \tabularnewline
0.64 & 8462.46399346865 & 581.202186520869 \tabularnewline
0.65 & 8588.48935077452 & 660.792795826256 \tabularnewline
0.66 & 8736.89322336039 & 772.679000521918 \tabularnewline
0.67 & 8916.53519604179 & 932.045466574933 \tabularnewline
0.68 & 9139.55669168119 & 1157.19877460873 \tabularnewline
0.69 & 9421.94345573224 & 1467.54835363344 \tabularnewline
0.7 & 9783.7945050633 & 1881.31869287844 \tabularnewline
0.71 & 10249.1529321747 & 2413.04514655757 \tabularnewline
0.72 & 10845.2998629009 & 3071.09522047916 \tabularnewline
0.73 & 11601.49267859 & 3855.54551287301 \tabularnewline
0.74 & 12547.2265046262 & 4756.62416490376 \tabularnewline
0.75 & 13710.1870651439 & 5754.51024269113 \tabularnewline
0.76 & 15114.1143164303 & 6820.41994243933 \tabularnewline
0.77 & 16776.7931101906 & 7918.60660308216 \tabularnewline
0.78 & 18708.3389815507 & 9008.86812035986 \tabularnewline
0.79 & 20909.8934340208 & 10048.4914996098 \tabularnewline
0.8 & 23372.8384907733 & 10993.7877556893 \tabularnewline
0.81 & 26078.7210836541 & 11801.8354459021 \tabularnewline
0.82 & 29000.2218548744 & 12433.6670268175 \tabularnewline
0.83 & 32103.6070028962 & 12860.3822758471 \tabularnewline
0.84 & 35353.0018209474 & 13071.9709862129 \tabularnewline
0.85 & 38716.3671871197 & 13086.6358695929 \tabularnewline
0.86 & 42172.2081020707 & 12956.2271836269 \tabularnewline
0.87 & 45714.9722857689 & 12761.7043244443 \tabularnewline
0.88 & 49356.2380644393 & 12593.4273887238 \tabularnewline
0.89 & 53118.7805347223 & 12515.0312350869 \tabularnewline
0.9 & 57022.1083037456 & 12520.5732865321 \tabularnewline
0.91 & 61061.4423961207 & 12507.0340505203 \tabularnewline
0.92 & 65186.9919453685 & 12286.8200525594 \tabularnewline
0.93 & 69295.4023284668 & 11650.6519118678 \tabularnewline
0.94 & 73248.2225630655 & 10468.1183755341 \tabularnewline
0.95 & 76929.6872971458 & 8792.65728276651 \tabularnewline
0.96 & 80338.7550350625 & 6939.7788774463 \tabularnewline
0.97 & 83656.4842277876 & 5564.49945030913 \tabularnewline
0.98 & 87131.6451269758 & 5613.10519079041 \tabularnewline
0.99 & 90621.0631172777 & 7198.89552818976 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=120542&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]98.7755578261979[/C][C]207.553435369954[/C][/ROW]
[ROW][C]0.02[/C][C]221.439573050673[/C][C]233.156068045209[/C][/ROW]
[ROW][C]0.03[/C][C]365.241637514526[/C][C]278.744323659495[/C][/ROW]
[ROW][C]0.04[/C][C]517.480169275108[/C][C]330.379297861245[/C][/ROW]
[ROW][C]0.05[/C][C]675.217628724509[/C][C]380.418927516284[/C][/ROW]
[ROW][C]0.06[/C][C]838.219213568903[/C][C]427.060584435571[/C][/ROW]
[ROW][C]0.07[/C][C]1006.27052682836[/C][C]471.255276748496[/C][/ROW]
[ROW][C]0.08[/C][C]1178.92358200727[/C][C]513.779675369414[/C][/ROW]
[ROW][C]0.09[/C][C]1355.59893275182[/C][C]553.819511221316[/C][/ROW]
[ROW][C]0.1[/C][C]1535.52115700375[/C][C]589.484103769709[/C][/ROW]
[ROW][C]0.11[/C][C]1717.63626282951[/C][C]619.043128686559[/C][/ROW]
[ROW][C]0.12[/C][C]1900.65794118397[/C][C]641.74868720372[/C][/ROW]
[ROW][C]0.13[/C][C]2083.23100887189[/C][C]657.943744413525[/C][/ROW]
[ROW][C]0.14[/C][C]2264.11625710063[/C][C]668.651960281561[/C][/ROW]
[ROW][C]0.15[/C][C]2442.31377429457[/C][C]675.055932571206[/C][/ROW]
[ROW][C]0.16[/C][C]2617.09876169688[/C][C]678.114538965475[/C][/ROW]
[ROW][C]0.17[/C][C]2787.99374297632[/C][C]678.452873325814[/C][/ROW]
[ROW][C]0.18[/C][C]2954.72081213117[/C][C]676.524032037034[/C][/ROW]
[ROW][C]0.19[/C][C]3117.1690688615[/C][C]672.841455248511[/C][/ROW]
[ROW][C]0.2[/C][C]3275.38962951428[/C][C]668.195567311499[/C][/ROW]
[ROW][C]0.21[/C][C]3429.6084252073[/C][C]663.679495981691[/C][/ROW]
[ROW][C]0.22[/C][C]3580.2350556456[/C][C]660.557860353184[/C][/ROW]
[ROW][C]0.23[/C][C]3727.84703349603[/C][C]659.964797389552[/C][/ROW]
[ROW][C]0.24[/C][C]3873.13985246249[/C][C]662.595894409419[/C][/ROW]
[ROW][C]0.25[/C][C]4016.84824131351[/C][C]668.500538945495[/C][/ROW]
[ROW][C]0.26[/C][C]4159.65617172548[/C][C]677.060160840016[/C][/ROW]
[ROW][C]0.27[/C][C]4302.11812613198[/C][C]687.192808286205[/C][/ROW]
[ROW][C]0.28[/C][C]4444.61054718778[/C][C]697.681544883331[/C][/ROW]
[ROW][C]0.29[/C][C]4587.32229529641[/C][C]707.472757462484[/C][/ROW]
[ROW][C]0.3[/C][C]4730.28048953675[/C][C]715.929902752028[/C][/ROW]
[ROW][C]0.31[/C][C]4873.39787957962[/C][C]722.815510304447[/C][/ROW]
[ROW][C]0.32[/C][C]5016.52323600245[/C][C]728.275719243921[/C][/ROW]
[ROW][C]0.33[/C][C]5159.47822281784[/C][C]732.543041716796[/C][/ROW]
[ROW][C]0.34[/C][C]5302.07149356601[/C][C]735.763431567895[/C][/ROW]
[ROW][C]0.35[/C][C]5444.09031499937[/C][C]737.805842752924[/C][/ROW]
[ROW][C]0.36[/C][C]5585.27839882005[/C][C]738.228998541947[/C][/ROW]
[ROW][C]0.37[/C][C]5725.31312202228[/C][C]736.38233344101[/C][/ROW]
[ROW][C]0.38[/C][C]5863.79484608077[/C][C]731.590505663595[/C][/ROW]
[ROW][C]0.39[/C][C]6000.25627273836[/C][C]723.328401497805[/C][/ROW]
[ROW][C]0.4[/C][C]6134.19268255868[/C][C]711.413805369118[/C][/ROW]
[ROW][C]0.41[/C][C]6265.10697340126[/C][C]696.058184143892[/C][/ROW]
[ROW][C]0.42[/C][C]6392.55877764132[/C][C]677.837447139219[/C][/ROW]
[ROW][C]0.43[/C][C]6516.20576248782[/C][C]657.602286921336[/C][/ROW]
[ROW][C]0.44[/C][C]6635.82752297993[/C][C]636.258376590829[/C][/ROW]
[ROW][C]0.45[/C][C]6751.32730225823[/C][C]614.677764579228[/C][/ROW]
[ROW][C]0.46[/C][C]6862.71261133494[/C][C]593.460762517631[/C][/ROW]
[ROW][C]0.47[/C][C]6970.06110723807[/C][C]572.926916448787[/C][/ROW]
[ROW][C]0.48[/C][C]7073.4816002243[/C][C]553.060913838173[/C][/ROW]
[ROW][C]0.49[/C][C]7173.08113118746[/C][C]533.654680607823[/C][/ROW]
[ROW][C]0.5[/C][C]7268.9476158034[/C][C]514.365168661065[/C][/ROW]
[ROW][C]0.51[/C][C]7361.15401837817[/C][C]494.966210773165[/C][/ROW]
[ROW][C]0.52[/C][C]7449.78517087136[/C][C]475.433792883412[/C][/ROW]
[ROW][C]0.53[/C][C]7534.98316395988[/C][C]456.107048302497[/C][/ROW]
[ROW][C]0.54[/C][C]7617.00275095813[/C][C]437.749926549742[/C][/ROW]
[ROW][C]0.55[/C][C]7696.2654290109[/C][C]421.495469216802[/C][/ROW]
[ROW][C]0.56[/C][C]7773.40065720958[/C][C]408.809571341128[/C][/ROW]
[ROW][C]0.57[/C][C]7849.26562699235[/C][C]401.27957153427[/C][/ROW]
[ROW][C]0.58[/C][C]7924.94128148787[/C][C]400.353199175612[/C][/ROW]
[ROW][C]0.59[/C][C]8001.71147260786[/C][C]407.142310155676[/C][/ROW]
[ROW][C]0.6[/C][C]8081.04312550601[/C][C]422.28172816811[/C][/ROW]
[ROW][C]0.61[/C][C]8164.59616507628[/C][C]446.092243693508[/C][/ROW]
[ROW][C]0.62[/C][C]8254.30016798112[/C][C]479.121809393927[/C][/ROW]
[ROW][C]0.63[/C][C]8352.53719584513[/C][C]522.946648360123[/C][/ROW]
[ROW][C]0.64[/C][C]8462.46399346865[/C][C]581.202186520869[/C][/ROW]
[ROW][C]0.65[/C][C]8588.48935077452[/C][C]660.792795826256[/C][/ROW]
[ROW][C]0.66[/C][C]8736.89322336039[/C][C]772.679000521918[/C][/ROW]
[ROW][C]0.67[/C][C]8916.53519604179[/C][C]932.045466574933[/C][/ROW]
[ROW][C]0.68[/C][C]9139.55669168119[/C][C]1157.19877460873[/C][/ROW]
[ROW][C]0.69[/C][C]9421.94345573224[/C][C]1467.54835363344[/C][/ROW]
[ROW][C]0.7[/C][C]9783.7945050633[/C][C]1881.31869287844[/C][/ROW]
[ROW][C]0.71[/C][C]10249.1529321747[/C][C]2413.04514655757[/C][/ROW]
[ROW][C]0.72[/C][C]10845.2998629009[/C][C]3071.09522047916[/C][/ROW]
[ROW][C]0.73[/C][C]11601.49267859[/C][C]3855.54551287301[/C][/ROW]
[ROW][C]0.74[/C][C]12547.2265046262[/C][C]4756.62416490376[/C][/ROW]
[ROW][C]0.75[/C][C]13710.1870651439[/C][C]5754.51024269113[/C][/ROW]
[ROW][C]0.76[/C][C]15114.1143164303[/C][C]6820.41994243933[/C][/ROW]
[ROW][C]0.77[/C][C]16776.7931101906[/C][C]7918.60660308216[/C][/ROW]
[ROW][C]0.78[/C][C]18708.3389815507[/C][C]9008.86812035986[/C][/ROW]
[ROW][C]0.79[/C][C]20909.8934340208[/C][C]10048.4914996098[/C][/ROW]
[ROW][C]0.8[/C][C]23372.8384907733[/C][C]10993.7877556893[/C][/ROW]
[ROW][C]0.81[/C][C]26078.7210836541[/C][C]11801.8354459021[/C][/ROW]
[ROW][C]0.82[/C][C]29000.2218548744[/C][C]12433.6670268175[/C][/ROW]
[ROW][C]0.83[/C][C]32103.6070028962[/C][C]12860.3822758471[/C][/ROW]
[ROW][C]0.84[/C][C]35353.0018209474[/C][C]13071.9709862129[/C][/ROW]
[ROW][C]0.85[/C][C]38716.3671871197[/C][C]13086.6358695929[/C][/ROW]
[ROW][C]0.86[/C][C]42172.2081020707[/C][C]12956.2271836269[/C][/ROW]
[ROW][C]0.87[/C][C]45714.9722857689[/C][C]12761.7043244443[/C][/ROW]
[ROW][C]0.88[/C][C]49356.2380644393[/C][C]12593.4273887238[/C][/ROW]
[ROW][C]0.89[/C][C]53118.7805347223[/C][C]12515.0312350869[/C][/ROW]
[ROW][C]0.9[/C][C]57022.1083037456[/C][C]12520.5732865321[/C][/ROW]
[ROW][C]0.91[/C][C]61061.4423961207[/C][C]12507.0340505203[/C][/ROW]
[ROW][C]0.92[/C][C]65186.9919453685[/C][C]12286.8200525594[/C][/ROW]
[ROW][C]0.93[/C][C]69295.4023284668[/C][C]11650.6519118678[/C][/ROW]
[ROW][C]0.94[/C][C]73248.2225630655[/C][C]10468.1183755341[/C][/ROW]
[ROW][C]0.95[/C][C]76929.6872971458[/C][C]8792.65728276651[/C][/ROW]
[ROW][C]0.96[/C][C]80338.7550350625[/C][C]6939.7788774463[/C][/ROW]
[ROW][C]0.97[/C][C]83656.4842277876[/C][C]5564.49945030913[/C][/ROW]
[ROW][C]0.98[/C][C]87131.6451269758[/C][C]5613.10519079041[/C][/ROW]
[ROW][C]0.99[/C][C]90621.0631172777[/C][C]7198.89552818976[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=120542&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=120542&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
0.0198.7755578261979207.553435369954
0.02221.439573050673233.156068045209
0.03365.241637514526278.744323659495
0.04517.480169275108330.379297861245
0.05675.217628724509380.418927516284
0.06838.219213568903427.060584435571
0.071006.27052682836471.255276748496
0.081178.92358200727513.779675369414
0.091355.59893275182553.819511221316
0.11535.52115700375589.484103769709
0.111717.63626282951619.043128686559
0.121900.65794118397641.74868720372
0.132083.23100887189657.943744413525
0.142264.11625710063668.651960281561
0.152442.31377429457675.055932571206
0.162617.09876169688678.114538965475
0.172787.99374297632678.452873325814
0.182954.72081213117676.524032037034
0.193117.1690688615672.841455248511
0.23275.38962951428668.195567311499
0.213429.6084252073663.679495981691
0.223580.2350556456660.557860353184
0.233727.84703349603659.964797389552
0.243873.13985246249662.595894409419
0.254016.84824131351668.500538945495
0.264159.65617172548677.060160840016
0.274302.11812613198687.192808286205
0.284444.61054718778697.681544883331
0.294587.32229529641707.472757462484
0.34730.28048953675715.929902752028
0.314873.39787957962722.815510304447
0.325016.52323600245728.275719243921
0.335159.47822281784732.543041716796
0.345302.07149356601735.763431567895
0.355444.09031499937737.805842752924
0.365585.27839882005738.228998541947
0.375725.31312202228736.38233344101
0.385863.79484608077731.590505663595
0.396000.25627273836723.328401497805
0.46134.19268255868711.413805369118
0.416265.10697340126696.058184143892
0.426392.55877764132677.837447139219
0.436516.20576248782657.602286921336
0.446635.82752297993636.258376590829
0.456751.32730225823614.677764579228
0.466862.71261133494593.460762517631
0.476970.06110723807572.926916448787
0.487073.4816002243553.060913838173
0.497173.08113118746533.654680607823
0.57268.9476158034514.365168661065
0.517361.15401837817494.966210773165
0.527449.78517087136475.433792883412
0.537534.98316395988456.107048302497
0.547617.00275095813437.749926549742
0.557696.2654290109421.495469216802
0.567773.40065720958408.809571341128
0.577849.26562699235401.27957153427
0.587924.94128148787400.353199175612
0.598001.71147260786407.142310155676
0.68081.04312550601422.28172816811
0.618164.59616507628446.092243693508
0.628254.30016798112479.121809393927
0.638352.53719584513522.946648360123
0.648462.46399346865581.202186520869
0.658588.48935077452660.792795826256
0.668736.89322336039772.679000521918
0.678916.53519604179932.045466574933
0.689139.556691681191157.19877460873
0.699421.943455732241467.54835363344
0.79783.79450506331881.31869287844
0.7110249.15293217472413.04514655757
0.7210845.29986290093071.09522047916
0.7311601.492678593855.54551287301
0.7412547.22650462624756.62416490376
0.7513710.18706514395754.51024269113
0.7615114.11431643036820.41994243933
0.7716776.79311019067918.60660308216
0.7818708.33898155079008.86812035986
0.7920909.893434020810048.4914996098
0.823372.838490773310993.7877556893
0.8126078.721083654111801.8354459021
0.8229000.221854874412433.6670268175
0.8332103.607002896212860.3822758471
0.8435353.001820947413071.9709862129
0.8538716.367187119713086.6358695929
0.8642172.208102070712956.2271836269
0.8745714.972285768912761.7043244443
0.8849356.238064439312593.4273887238
0.8953118.780534722312515.0312350869
0.957022.108303745612520.5732865321
0.9161061.442396120712507.0340505203
0.9265186.991945368512286.8200525594
0.9369295.402328466811650.6519118678
0.9473248.222563065510468.1183755341
0.9576929.68729714588792.65728276651
0.9680338.75503506256939.7788774463
0.9783656.48422778765564.49945030913
0.9887131.64512697585613.10519079041
0.9990621.06311727777198.89552818976


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')