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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, 26 Feb 2013 06:00:07 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Feb/26/t1361876472u3607qxrhexf2uo.htm/, Retrieved Sun, 05 May 2024 05:54:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=206992, Retrieved Sun, 05 May 2024 05:54:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact106

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] [opdracht 4] [2013-02-26 11:00:07] [0756924702977927793c865c7c536cb0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
59
57
62
50
40
46
39
35
31
35
33
47
34
31
36
24
22
17
8
12
5
6
5
8
15
16
17
23
24
27
31
40
47
43
60
64
65
65
55
57
57
57
65
69
70
71
71
73
68
65
57
41
21
21
17
9
11
6
-2
0
5
3
7
4
8
9
14
12
12
7
15
14
19
39
12

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'Sir Maurice George Kendall' @ kendall.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 & 2 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206992&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206992&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206992&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-1.187222426167072.13486390567763
0.020.1008320706941892.29619788303506
0.031.446097563661742.19152427019455
0.042.604935233847421.85978156921666
0.053.510409229466861.48492644449998
0.064.190976792274321.19330811368531
0.074.708487597465521.02629855689997
0.085.12477229065230.97205700858682
0.095.487686142051420.992979694997026
0.15.828384777302561.04981500616324
0.116.164082297420111.11639822361249
0.126.502676237478981.18159115458482
0.136.847195221615651.24533292364274
0.147.199063458083421.31349562244014
0.157.559877331862911.39281665179309
0.167.931863252699361.48682108113397
0.178.317453330545151.59368448409746
0.188.718495116061151.70660776853243
0.199.135546325051831.81598653756257
0.29.567548523650171.91255530558408
0.2110.01197962351871.98996283031581
0.2210.46540666960832.0462903220933
0.2310.92424236725722.08419341411403
0.2411.38547526763032.10981163260568
0.2511.84719001354192.13076997317936
0.2612.30879031082212.15434737138929
0.2712.77094109596892.18601960246013
0.2813.23532090585882.22918526561809
0.2913.70430210245672.2853816763079
0.314.18065820518292.35530104863648
0.3114.66735258413762.4393934609474
0.3215.16741457373942.53819119319253
0.3315.68387596073562.65225507648674
0.3416.21973028770592.78181091521545
0.3516.77788611254812.92649231312475
0.3617.36110312392783.08517302982176
0.3717.97191565837843.25605258433064
0.3818.612554351783.43706040258255
0.3919.28487222262353.62587939578786
0.419.99027092472333.82024213222379
0.4120.72961366698424.01759243543741
0.4221.50311015403124.21465755940934
0.4322.31016887883964.40703338012276
0.4423.14923102860044.58892631100642
0.4524.01762146395514.75323319895222
0.4624.91146700444014.89209107941943
0.4725.82573327240884.99806634983838
0.4826.75441563051355.06521419601211
0.4927.69089009068075.09027325948633
0.528.6283943800855.07362920083293
0.5129.56057807235595.01920345478718
0.5230.48204329659314.93444720235755
0.5331.38879928172894.82915751568893
0.5432.27857415932754.71450245344287
0.5533.15095961449594.60171993397505
0.5634.00739821052284.50102068889283
0.5734.85104936582354.42098071532547
0.5835.68658090342314.36868979835427
0.5936.51992683607994.34941974867701
0.637.35803209809164.36735838673601
0.6138.20857887466844.42550727341537
0.6239.07966613848544.52540455449624
0.6339.97940195205714.66633256853917
0.6440.9153719325864.84450658581559
0.6541.89396816765825.05222257231494
0.6642.9195986515615.27733151442375
0.6743.99384323144325.50325171184822
0.6845.11467104913685.70973612396023
0.6946.27587673561045.87417508864911
0.747.46691517191875.97401992597118
0.7148.67330230238235.98961384891871
0.7249.8776887311275.90763555729877
0.7351.06159841680615.72451291998972
0.7452.20766726062995.44857111215162
0.7553.3020465411585.10093266866902
0.7654.33650232341454.71374814962611
0.7755.30969846113374.32623546076079
0.7856.22723955289873.97820767327549
0.7957.10028182884543.7014167645507
0.857.94286187649283.51061068920621
0.8158.7684703919523.39778541499719
0.8259.58670743917143.33411415132001
0.8360.40098848807663.27941842495384
0.8461.20813964772443.1956006533467
0.8562.00028748502323.05850003208023
0.8662.76875261689632.86578569376476
0.8763.50884295260582.63947300412849
0.8864.22378012020222.42143769048549
0.8964.92583426541842.26015930434716
0.965.6333931179432.18621105455255
0.9166.36418422634332.18822506877047
0.9267.12678150834032.2113115174706
0.9367.91409111708292.18386162100378
0.9468.70315174540422.0507591622895
0.9569.46525509826391.79694010803368
0.9670.18790621153671.46313361663499
0.9770.89891217236071.17357115163562
0.9871.65429777056551.16902157637296
0.9972.43374734508581.549977294323

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -1.18722242616707 & 2.13486390567763 \tabularnewline
0.02 & 0.100832070694189 & 2.29619788303506 \tabularnewline
0.03 & 1.44609756366174 & 2.19152427019455 \tabularnewline
0.04 & 2.60493523384742 & 1.85978156921666 \tabularnewline
0.05 & 3.51040922946686 & 1.48492644449998 \tabularnewline
0.06 & 4.19097679227432 & 1.19330811368531 \tabularnewline
0.07 & 4.70848759746552 & 1.02629855689997 \tabularnewline
0.08 & 5.1247722906523 & 0.97205700858682 \tabularnewline
0.09 & 5.48768614205142 & 0.992979694997026 \tabularnewline
0.1 & 5.82838477730256 & 1.04981500616324 \tabularnewline
0.11 & 6.16408229742011 & 1.11639822361249 \tabularnewline
0.12 & 6.50267623747898 & 1.18159115458482 \tabularnewline
0.13 & 6.84719522161565 & 1.24533292364274 \tabularnewline
0.14 & 7.19906345808342 & 1.31349562244014 \tabularnewline
0.15 & 7.55987733186291 & 1.39281665179309 \tabularnewline
0.16 & 7.93186325269936 & 1.48682108113397 \tabularnewline
0.17 & 8.31745333054515 & 1.59368448409746 \tabularnewline
0.18 & 8.71849511606115 & 1.70660776853243 \tabularnewline
0.19 & 9.13554632505183 & 1.81598653756257 \tabularnewline
0.2 & 9.56754852365017 & 1.91255530558408 \tabularnewline
0.21 & 10.0119796235187 & 1.98996283031581 \tabularnewline
0.22 & 10.4654066696083 & 2.0462903220933 \tabularnewline
0.23 & 10.9242423672572 & 2.08419341411403 \tabularnewline
0.24 & 11.3854752676303 & 2.10981163260568 \tabularnewline
0.25 & 11.8471900135419 & 2.13076997317936 \tabularnewline
0.26 & 12.3087903108221 & 2.15434737138929 \tabularnewline
0.27 & 12.7709410959689 & 2.18601960246013 \tabularnewline
0.28 & 13.2353209058588 & 2.22918526561809 \tabularnewline
0.29 & 13.7043021024567 & 2.2853816763079 \tabularnewline
0.3 & 14.1806582051829 & 2.35530104863648 \tabularnewline
0.31 & 14.6673525841376 & 2.4393934609474 \tabularnewline
0.32 & 15.1674145737394 & 2.53819119319253 \tabularnewline
0.33 & 15.6838759607356 & 2.65225507648674 \tabularnewline
0.34 & 16.2197302877059 & 2.78181091521545 \tabularnewline
0.35 & 16.7778861125481 & 2.92649231312475 \tabularnewline
0.36 & 17.3611031239278 & 3.08517302982176 \tabularnewline
0.37 & 17.9719156583784 & 3.25605258433064 \tabularnewline
0.38 & 18.61255435178 & 3.43706040258255 \tabularnewline
0.39 & 19.2848722226235 & 3.62587939578786 \tabularnewline
0.4 & 19.9902709247233 & 3.82024213222379 \tabularnewline
0.41 & 20.7296136669842 & 4.01759243543741 \tabularnewline
0.42 & 21.5031101540312 & 4.21465755940934 \tabularnewline
0.43 & 22.3101688788396 & 4.40703338012276 \tabularnewline
0.44 & 23.1492310286004 & 4.58892631100642 \tabularnewline
0.45 & 24.0176214639551 & 4.75323319895222 \tabularnewline
0.46 & 24.9114670044401 & 4.89209107941943 \tabularnewline
0.47 & 25.8257332724088 & 4.99806634983838 \tabularnewline
0.48 & 26.7544156305135 & 5.06521419601211 \tabularnewline
0.49 & 27.6908900906807 & 5.09027325948633 \tabularnewline
0.5 & 28.628394380085 & 5.07362920083293 \tabularnewline
0.51 & 29.5605780723559 & 5.01920345478718 \tabularnewline
0.52 & 30.4820432965931 & 4.93444720235755 \tabularnewline
0.53 & 31.3887992817289 & 4.82915751568893 \tabularnewline
0.54 & 32.2785741593275 & 4.71450245344287 \tabularnewline
0.55 & 33.1509596144959 & 4.60171993397505 \tabularnewline
0.56 & 34.0073982105228 & 4.50102068889283 \tabularnewline
0.57 & 34.8510493658235 & 4.42098071532547 \tabularnewline
0.58 & 35.6865809034231 & 4.36868979835427 \tabularnewline
0.59 & 36.5199268360799 & 4.34941974867701 \tabularnewline
0.6 & 37.3580320980916 & 4.36735838673601 \tabularnewline
0.61 & 38.2085788746684 & 4.42550727341537 \tabularnewline
0.62 & 39.0796661384854 & 4.52540455449624 \tabularnewline
0.63 & 39.9794019520571 & 4.66633256853917 \tabularnewline
0.64 & 40.915371932586 & 4.84450658581559 \tabularnewline
0.65 & 41.8939681676582 & 5.05222257231494 \tabularnewline
0.66 & 42.919598651561 & 5.27733151442375 \tabularnewline
0.67 & 43.9938432314432 & 5.50325171184822 \tabularnewline
0.68 & 45.1146710491368 & 5.70973612396023 \tabularnewline
0.69 & 46.2758767356104 & 5.87417508864911 \tabularnewline
0.7 & 47.4669151719187 & 5.97401992597118 \tabularnewline
0.71 & 48.6733023023823 & 5.98961384891871 \tabularnewline
0.72 & 49.877688731127 & 5.90763555729877 \tabularnewline
0.73 & 51.0615984168061 & 5.72451291998972 \tabularnewline
0.74 & 52.2076672606299 & 5.44857111215162 \tabularnewline
0.75 & 53.302046541158 & 5.10093266866902 \tabularnewline
0.76 & 54.3365023234145 & 4.71374814962611 \tabularnewline
0.77 & 55.3096984611337 & 4.32623546076079 \tabularnewline
0.78 & 56.2272395528987 & 3.97820767327549 \tabularnewline
0.79 & 57.1002818288454 & 3.7014167645507 \tabularnewline
0.8 & 57.9428618764928 & 3.51061068920621 \tabularnewline
0.81 & 58.768470391952 & 3.39778541499719 \tabularnewline
0.82 & 59.5867074391714 & 3.33411415132001 \tabularnewline
0.83 & 60.4009884880766 & 3.27941842495384 \tabularnewline
0.84 & 61.2081396477244 & 3.1956006533467 \tabularnewline
0.85 & 62.0002874850232 & 3.05850003208023 \tabularnewline
0.86 & 62.7687526168963 & 2.86578569376476 \tabularnewline
0.87 & 63.5088429526058 & 2.63947300412849 \tabularnewline
0.88 & 64.2237801202022 & 2.42143769048549 \tabularnewline
0.89 & 64.9258342654184 & 2.26015930434716 \tabularnewline
0.9 & 65.633393117943 & 2.18621105455255 \tabularnewline
0.91 & 66.3641842263433 & 2.18822506877047 \tabularnewline
0.92 & 67.1267815083403 & 2.2113115174706 \tabularnewline
0.93 & 67.9140911170829 & 2.18386162100378 \tabularnewline
0.94 & 68.7031517454042 & 2.0507591622895 \tabularnewline
0.95 & 69.4652550982639 & 1.79694010803368 \tabularnewline
0.96 & 70.1879062115367 & 1.46313361663499 \tabularnewline
0.97 & 70.8989121723607 & 1.17357115163562 \tabularnewline
0.98 & 71.6542977705655 & 1.16902157637296 \tabularnewline
0.99 & 72.4337473450858 & 1.549977294323 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206992&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]-1.18722242616707[/C][C]2.13486390567763[/C][/ROW]
[ROW][C]0.02[/C][C]0.100832070694189[/C][C]2.29619788303506[/C][/ROW]
[ROW][C]0.03[/C][C]1.44609756366174[/C][C]2.19152427019455[/C][/ROW]
[ROW][C]0.04[/C][C]2.60493523384742[/C][C]1.85978156921666[/C][/ROW]
[ROW][C]0.05[/C][C]3.51040922946686[/C][C]1.48492644449998[/C][/ROW]
[ROW][C]0.06[/C][C]4.19097679227432[/C][C]1.19330811368531[/C][/ROW]
[ROW][C]0.07[/C][C]4.70848759746552[/C][C]1.02629855689997[/C][/ROW]
[ROW][C]0.08[/C][C]5.1247722906523[/C][C]0.97205700858682[/C][/ROW]
[ROW][C]0.09[/C][C]5.48768614205142[/C][C]0.992979694997026[/C][/ROW]
[ROW][C]0.1[/C][C]5.82838477730256[/C][C]1.04981500616324[/C][/ROW]
[ROW][C]0.11[/C][C]6.16408229742011[/C][C]1.11639822361249[/C][/ROW]
[ROW][C]0.12[/C][C]6.50267623747898[/C][C]1.18159115458482[/C][/ROW]
[ROW][C]0.13[/C][C]6.84719522161565[/C][C]1.24533292364274[/C][/ROW]
[ROW][C]0.14[/C][C]7.19906345808342[/C][C]1.31349562244014[/C][/ROW]
[ROW][C]0.15[/C][C]7.55987733186291[/C][C]1.39281665179309[/C][/ROW]
[ROW][C]0.16[/C][C]7.93186325269936[/C][C]1.48682108113397[/C][/ROW]
[ROW][C]0.17[/C][C]8.31745333054515[/C][C]1.59368448409746[/C][/ROW]
[ROW][C]0.18[/C][C]8.71849511606115[/C][C]1.70660776853243[/C][/ROW]
[ROW][C]0.19[/C][C]9.13554632505183[/C][C]1.81598653756257[/C][/ROW]
[ROW][C]0.2[/C][C]9.56754852365017[/C][C]1.91255530558408[/C][/ROW]
[ROW][C]0.21[/C][C]10.0119796235187[/C][C]1.98996283031581[/C][/ROW]
[ROW][C]0.22[/C][C]10.4654066696083[/C][C]2.0462903220933[/C][/ROW]
[ROW][C]0.23[/C][C]10.9242423672572[/C][C]2.08419341411403[/C][/ROW]
[ROW][C]0.24[/C][C]11.3854752676303[/C][C]2.10981163260568[/C][/ROW]
[ROW][C]0.25[/C][C]11.8471900135419[/C][C]2.13076997317936[/C][/ROW]
[ROW][C]0.26[/C][C]12.3087903108221[/C][C]2.15434737138929[/C][/ROW]
[ROW][C]0.27[/C][C]12.7709410959689[/C][C]2.18601960246013[/C][/ROW]
[ROW][C]0.28[/C][C]13.2353209058588[/C][C]2.22918526561809[/C][/ROW]
[ROW][C]0.29[/C][C]13.7043021024567[/C][C]2.2853816763079[/C][/ROW]
[ROW][C]0.3[/C][C]14.1806582051829[/C][C]2.35530104863648[/C][/ROW]
[ROW][C]0.31[/C][C]14.6673525841376[/C][C]2.4393934609474[/C][/ROW]
[ROW][C]0.32[/C][C]15.1674145737394[/C][C]2.53819119319253[/C][/ROW]
[ROW][C]0.33[/C][C]15.6838759607356[/C][C]2.65225507648674[/C][/ROW]
[ROW][C]0.34[/C][C]16.2197302877059[/C][C]2.78181091521545[/C][/ROW]
[ROW][C]0.35[/C][C]16.7778861125481[/C][C]2.92649231312475[/C][/ROW]
[ROW][C]0.36[/C][C]17.3611031239278[/C][C]3.08517302982176[/C][/ROW]
[ROW][C]0.37[/C][C]17.9719156583784[/C][C]3.25605258433064[/C][/ROW]
[ROW][C]0.38[/C][C]18.61255435178[/C][C]3.43706040258255[/C][/ROW]
[ROW][C]0.39[/C][C]19.2848722226235[/C][C]3.62587939578786[/C][/ROW]
[ROW][C]0.4[/C][C]19.9902709247233[/C][C]3.82024213222379[/C][/ROW]
[ROW][C]0.41[/C][C]20.7296136669842[/C][C]4.01759243543741[/C][/ROW]
[ROW][C]0.42[/C][C]21.5031101540312[/C][C]4.21465755940934[/C][/ROW]
[ROW][C]0.43[/C][C]22.3101688788396[/C][C]4.40703338012276[/C][/ROW]
[ROW][C]0.44[/C][C]23.1492310286004[/C][C]4.58892631100642[/C][/ROW]
[ROW][C]0.45[/C][C]24.0176214639551[/C][C]4.75323319895222[/C][/ROW]
[ROW][C]0.46[/C][C]24.9114670044401[/C][C]4.89209107941943[/C][/ROW]
[ROW][C]0.47[/C][C]25.8257332724088[/C][C]4.99806634983838[/C][/ROW]
[ROW][C]0.48[/C][C]26.7544156305135[/C][C]5.06521419601211[/C][/ROW]
[ROW][C]0.49[/C][C]27.6908900906807[/C][C]5.09027325948633[/C][/ROW]
[ROW][C]0.5[/C][C]28.628394380085[/C][C]5.07362920083293[/C][/ROW]
[ROW][C]0.51[/C][C]29.5605780723559[/C][C]5.01920345478718[/C][/ROW]
[ROW][C]0.52[/C][C]30.4820432965931[/C][C]4.93444720235755[/C][/ROW]
[ROW][C]0.53[/C][C]31.3887992817289[/C][C]4.82915751568893[/C][/ROW]
[ROW][C]0.54[/C][C]32.2785741593275[/C][C]4.71450245344287[/C][/ROW]
[ROW][C]0.55[/C][C]33.1509596144959[/C][C]4.60171993397505[/C][/ROW]
[ROW][C]0.56[/C][C]34.0073982105228[/C][C]4.50102068889283[/C][/ROW]
[ROW][C]0.57[/C][C]34.8510493658235[/C][C]4.42098071532547[/C][/ROW]
[ROW][C]0.58[/C][C]35.6865809034231[/C][C]4.36868979835427[/C][/ROW]
[ROW][C]0.59[/C][C]36.5199268360799[/C][C]4.34941974867701[/C][/ROW]
[ROW][C]0.6[/C][C]37.3580320980916[/C][C]4.36735838673601[/C][/ROW]
[ROW][C]0.61[/C][C]38.2085788746684[/C][C]4.42550727341537[/C][/ROW]
[ROW][C]0.62[/C][C]39.0796661384854[/C][C]4.52540455449624[/C][/ROW]
[ROW][C]0.63[/C][C]39.9794019520571[/C][C]4.66633256853917[/C][/ROW]
[ROW][C]0.64[/C][C]40.915371932586[/C][C]4.84450658581559[/C][/ROW]
[ROW][C]0.65[/C][C]41.8939681676582[/C][C]5.05222257231494[/C][/ROW]
[ROW][C]0.66[/C][C]42.919598651561[/C][C]5.27733151442375[/C][/ROW]
[ROW][C]0.67[/C][C]43.9938432314432[/C][C]5.50325171184822[/C][/ROW]
[ROW][C]0.68[/C][C]45.1146710491368[/C][C]5.70973612396023[/C][/ROW]
[ROW][C]0.69[/C][C]46.2758767356104[/C][C]5.87417508864911[/C][/ROW]
[ROW][C]0.7[/C][C]47.4669151719187[/C][C]5.97401992597118[/C][/ROW]
[ROW][C]0.71[/C][C]48.6733023023823[/C][C]5.98961384891871[/C][/ROW]
[ROW][C]0.72[/C][C]49.877688731127[/C][C]5.90763555729877[/C][/ROW]
[ROW][C]0.73[/C][C]51.0615984168061[/C][C]5.72451291998972[/C][/ROW]
[ROW][C]0.74[/C][C]52.2076672606299[/C][C]5.44857111215162[/C][/ROW]
[ROW][C]0.75[/C][C]53.302046541158[/C][C]5.10093266866902[/C][/ROW]
[ROW][C]0.76[/C][C]54.3365023234145[/C][C]4.71374814962611[/C][/ROW]
[ROW][C]0.77[/C][C]55.3096984611337[/C][C]4.32623546076079[/C][/ROW]
[ROW][C]0.78[/C][C]56.2272395528987[/C][C]3.97820767327549[/C][/ROW]
[ROW][C]0.79[/C][C]57.1002818288454[/C][C]3.7014167645507[/C][/ROW]
[ROW][C]0.8[/C][C]57.9428618764928[/C][C]3.51061068920621[/C][/ROW]
[ROW][C]0.81[/C][C]58.768470391952[/C][C]3.39778541499719[/C][/ROW]
[ROW][C]0.82[/C][C]59.5867074391714[/C][C]3.33411415132001[/C][/ROW]
[ROW][C]0.83[/C][C]60.4009884880766[/C][C]3.27941842495384[/C][/ROW]
[ROW][C]0.84[/C][C]61.2081396477244[/C][C]3.1956006533467[/C][/ROW]
[ROW][C]0.85[/C][C]62.0002874850232[/C][C]3.05850003208023[/C][/ROW]
[ROW][C]0.86[/C][C]62.7687526168963[/C][C]2.86578569376476[/C][/ROW]
[ROW][C]0.87[/C][C]63.5088429526058[/C][C]2.63947300412849[/C][/ROW]
[ROW][C]0.88[/C][C]64.2237801202022[/C][C]2.42143769048549[/C][/ROW]
[ROW][C]0.89[/C][C]64.9258342654184[/C][C]2.26015930434716[/C][/ROW]
[ROW][C]0.9[/C][C]65.633393117943[/C][C]2.18621105455255[/C][/ROW]
[ROW][C]0.91[/C][C]66.3641842263433[/C][C]2.18822506877047[/C][/ROW]
[ROW][C]0.92[/C][C]67.1267815083403[/C][C]2.2113115174706[/C][/ROW]
[ROW][C]0.93[/C][C]67.9140911170829[/C][C]2.18386162100378[/C][/ROW]
[ROW][C]0.94[/C][C]68.7031517454042[/C][C]2.0507591622895[/C][/ROW]
[ROW][C]0.95[/C][C]69.4652550982639[/C][C]1.79694010803368[/C][/ROW]
[ROW][C]0.96[/C][C]70.1879062115367[/C][C]1.46313361663499[/C][/ROW]
[ROW][C]0.97[/C][C]70.8989121723607[/C][C]1.17357115163562[/C][/ROW]
[ROW][C]0.98[/C][C]71.6542977705655[/C][C]1.16902157637296[/C][/ROW]
[ROW][C]0.99[/C][C]72.4337473450858[/C][C]1.549977294323[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206992&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206992&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
0.01-1.187222426167072.13486390567763
0.020.1008320706941892.29619788303506
0.031.446097563661742.19152427019455
0.042.604935233847421.85978156921666
0.053.510409229466861.48492644449998
0.064.190976792274321.19330811368531
0.074.708487597465521.02629855689997
0.085.12477229065230.97205700858682
0.095.487686142051420.992979694997026
0.15.828384777302561.04981500616324
0.116.164082297420111.11639822361249
0.126.502676237478981.18159115458482
0.136.847195221615651.24533292364274
0.147.199063458083421.31349562244014
0.157.559877331862911.39281665179309
0.167.931863252699361.48682108113397
0.178.317453330545151.59368448409746
0.188.718495116061151.70660776853243
0.199.135546325051831.81598653756257
0.29.567548523650171.91255530558408
0.2110.01197962351871.98996283031581
0.2210.46540666960832.0462903220933
0.2310.92424236725722.08419341411403
0.2411.38547526763032.10981163260568
0.2511.84719001354192.13076997317936
0.2612.30879031082212.15434737138929
0.2712.77094109596892.18601960246013
0.2813.23532090585882.22918526561809
0.2913.70430210245672.2853816763079
0.314.18065820518292.35530104863648
0.3114.66735258413762.4393934609474
0.3215.16741457373942.53819119319253
0.3315.68387596073562.65225507648674
0.3416.21973028770592.78181091521545
0.3516.77788611254812.92649231312475
0.3617.36110312392783.08517302982176
0.3717.97191565837843.25605258433064
0.3818.612554351783.43706040258255
0.3919.28487222262353.62587939578786
0.419.99027092472333.82024213222379
0.4120.72961366698424.01759243543741
0.4221.50311015403124.21465755940934
0.4322.31016887883964.40703338012276
0.4423.14923102860044.58892631100642
0.4524.01762146395514.75323319895222
0.4624.91146700444014.89209107941943
0.4725.82573327240884.99806634983838
0.4826.75441563051355.06521419601211
0.4927.69089009068075.09027325948633
0.528.6283943800855.07362920083293
0.5129.56057807235595.01920345478718
0.5230.48204329659314.93444720235755
0.5331.38879928172894.82915751568893
0.5432.27857415932754.71450245344287
0.5533.15095961449594.60171993397505
0.5634.00739821052284.50102068889283
0.5734.85104936582354.42098071532547
0.5835.68658090342314.36868979835427
0.5936.51992683607994.34941974867701
0.637.35803209809164.36735838673601
0.6138.20857887466844.42550727341537
0.6239.07966613848544.52540455449624
0.6339.97940195205714.66633256853917
0.6440.9153719325864.84450658581559
0.6541.89396816765825.05222257231494
0.6642.9195986515615.27733151442375
0.6743.99384323144325.50325171184822
0.6845.11467104913685.70973612396023
0.6946.27587673561045.87417508864911
0.747.46691517191875.97401992597118
0.7148.67330230238235.98961384891871
0.7249.8776887311275.90763555729877
0.7351.06159841680615.72451291998972
0.7452.20766726062995.44857111215162
0.7553.3020465411585.10093266866902
0.7654.33650232341454.71374814962611
0.7755.30969846113374.32623546076079
0.7856.22723955289873.97820767327549
0.7957.10028182884543.7014167645507
0.857.94286187649283.51061068920621
0.8158.7684703919523.39778541499719
0.8259.58670743917143.33411415132001
0.8360.40098848807663.27941842495384
0.8461.20813964772443.1956006533467
0.8562.00028748502323.05850003208023
0.8662.76875261689632.86578569376476
0.8763.50884295260582.63947300412849
0.8864.22378012020222.42143769048549
0.8964.92583426541842.26015930434716
0.965.6333931179432.18621105455255
0.9166.36418422634332.18822506877047
0.9267.12678150834032.2113115174706
0.9367.91409111708292.18386162100378
0.9468.70315174540422.0507591622895
0.9569.46525509826391.79694010803368
0.9670.18790621153671.46313361663499
0.9770.89891217236071.17357115163562
0.9871.65429777056551.16902157637296
0.9972.43374734508581.549977294323


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ;
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')