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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 computationSun, 18 Oct 2009 08:31:43 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/18/t1255876338rkcigv5zdvmd17t.htm/, Retrieved Mon, 29 Apr 2024 11:59:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=47321, Retrieved Mon, 29 Apr 2024 11:59:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact115

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Opgave 4b Eigen g...] [2009-10-18 14:31:43] [2c3906e099e396db093769aeca236bf5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
24.3
29.4
31.8
36.7
37.1
37.7
39.4
43.3
39.6
34.3
32
29.6
22.3
28.9
31.7
34.2
38.6
37.2
38.8
43.4
38.8
36.3
33
29.2
22.64
28.44
30.14
34.39
36.82
36.74
38.9
42.8
39.09
37.49
33.17
30.98
21.2
27.8
29
35.4
37.5
34.7
38.4
39.9
35.9
34.7
30.4
29
21.5
28
29.3
34.3
36.6
36.2
37.5
41.6
39.4
37.3
32.7
30.7
22.9
29.1
29.5
37.1
37.7
38.4
39.4
40.6
39.7
36.6
32.8
31.6
24.1
30.3
31.8
38.7
37.8
38.4
40.7
43.8
41.5
39.3
35.9
33.4

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'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47321&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47321&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47321&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'RServer@AstonUniversity' @ vre.aston.ac.uk






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0121.39241654880120.449028160181828
0.0221.74827118290350.660587740909768
0.0322.19913025207620.86222644596945
0.0422.71581572011861.12833838735682
0.0523.30473915942951.47287117463998
0.0623.97440462848761.81782454625098
0.0724.71171509665192.06637884731268
0.0825.47910536303362.1544947600393
0.0926.22667013454982.07076168981623
0.126.90825199319021.85094843834505
0.1127.49308011248271.55625972711742
0.1227.96976214269091.24874429885893
0.1328.34373524922620.974740792396354
0.1428.63132186568840.759785353719217
0.1528.85346180969450.611865259917979
0.1629.03096734074290.527415163756056
0.1729.18180765668470.496176890863322
0.1829.32007296602610.504802977939745
0.1929.45598177840040.540270069724861
0.229.59637564413730.591810986183187
0.2129.74535320681790.651146362003919
0.2229.90488087516760.71203579225932
0.2330.07533115339060.769828132008571
0.2430.25594974110990.821207832530194
0.2530.44526417962540.864329057839214
0.2630.64144162731640.89846549030208
0.2730.84259402113170.924071261969799
0.2831.04702142986050.942514899572973
0.2931.25338140071520.955847059819037
0.331.46077461395060.966442102349432
0.3131.66874510210940.976395415609266
0.3231.87720504383210.98724262769561
0.3332.0863065189950.999594427262573
0.3432.29629166039221.01332651387349
0.3532.50735506306271.02747820881231
0.3632.71954679542881.04074520548222
0.3732.93273209374991.05195651554381
0.3833.14660809019061.06025466890515
0.3933.36076295568781.06530849568660
0.433.57475252441431.06739362409162
0.4133.78816634258681.06697749022946
0.4234.00065977841951.06488279950691
0.4334.21193998225881.06150252234551
0.4434.42170808242071.05679647397202
0.4534.62957407445361.05000584475637
0.4634.83497047492721.03972773416428
0.4735.03709315504941.02437796496095
0.4835.23489203780831.00228473012442
0.4935.42712206481820.972375882406204
0.535.6124494791520.934384596906974
0.5135.78959437190110.888902272777635
0.5235.95748147848250.837650062384732
0.5336.11536962970250.782824545971239
0.5436.26293609440810.726932828924027
0.5536.40030327163000.672702398165237
0.5636.52800848513970.622304530845485
0.5736.64692944472630.577425756183966
0.5836.7581854404990.539091272215685
0.5936.86303607233110.507587691440372
0.636.96279540051630.482891143168529
0.6137.05877133560440.464577325679332
0.6237.15223029932510.452336994145245
0.6337.24437846400760.445708234594214
0.6437.33634570961120.444350599265297
0.6537.42915843852820.447890392797018
0.6637.52369281304380.455461835906053
0.6737.6206094885250.465920664452316
0.6837.72028171674300.47751147437584
0.6937.8227371614340.488257424602305
0.737.92763647018970.496125468612994
0.7138.03430654933290.499358939129475
0.7238.14183393072780.496857416235334
0.7338.24920664174120.488538694718381
0.7438.35547676903770.475112889303245
0.7538.45990635767660.458217476038056
0.7638.56206117702660.439753795380508
0.7738.66183198865720.421568598357447
0.7838.7593887636980.405019267720592
0.7938.85510276349630.390607097018498
0.838.94949402575760.378390471865004
0.8139.04326635968230.368256622339018
0.8239.13747055787950.360850107314603
0.8339.23378913919120.358274410886636
0.8439.33487360075630.364362928530341
0.8539.44461007773810.384118111925401
0.8639.56817027097110.421986409630715
0.8739.71174717341440.479692846273204
0.8839.88198695185160.554961383306571
0.8940.08527812976840.642076743078109
0.940.32715641000950.733447538389973
0.9140.61198038602680.822052518084469
0.9240.94260699992210.902841274700562
0.9341.31917486595580.97053082655184
0.9441.73598154694681.01224124554917
0.9542.17702825246781.00025010130320
0.9642.61449259202070.90039690189782
0.9743.0165300974810.706179035338266
0.9843.36188465099210.483365462805265
0.9943.63679894920490.371808504278927

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 21.3924165488012 & 0.449028160181828 \tabularnewline
0.02 & 21.7482711829035 & 0.660587740909768 \tabularnewline
0.03 & 22.1991302520762 & 0.86222644596945 \tabularnewline
0.04 & 22.7158157201186 & 1.12833838735682 \tabularnewline
0.05 & 23.3047391594295 & 1.47287117463998 \tabularnewline
0.06 & 23.9744046284876 & 1.81782454625098 \tabularnewline
0.07 & 24.7117150966519 & 2.06637884731268 \tabularnewline
0.08 & 25.4791053630336 & 2.1544947600393 \tabularnewline
0.09 & 26.2266701345498 & 2.07076168981623 \tabularnewline
0.1 & 26.9082519931902 & 1.85094843834505 \tabularnewline
0.11 & 27.4930801124827 & 1.55625972711742 \tabularnewline
0.12 & 27.9697621426909 & 1.24874429885893 \tabularnewline
0.13 & 28.3437352492262 & 0.974740792396354 \tabularnewline
0.14 & 28.6313218656884 & 0.759785353719217 \tabularnewline
0.15 & 28.8534618096945 & 0.611865259917979 \tabularnewline
0.16 & 29.0309673407429 & 0.527415163756056 \tabularnewline
0.17 & 29.1818076566847 & 0.496176890863322 \tabularnewline
0.18 & 29.3200729660261 & 0.504802977939745 \tabularnewline
0.19 & 29.4559817784004 & 0.540270069724861 \tabularnewline
0.2 & 29.5963756441373 & 0.591810986183187 \tabularnewline
0.21 & 29.7453532068179 & 0.651146362003919 \tabularnewline
0.22 & 29.9048808751676 & 0.71203579225932 \tabularnewline
0.23 & 30.0753311533906 & 0.769828132008571 \tabularnewline
0.24 & 30.2559497411099 & 0.821207832530194 \tabularnewline
0.25 & 30.4452641796254 & 0.864329057839214 \tabularnewline
0.26 & 30.6414416273164 & 0.89846549030208 \tabularnewline
0.27 & 30.8425940211317 & 0.924071261969799 \tabularnewline
0.28 & 31.0470214298605 & 0.942514899572973 \tabularnewline
0.29 & 31.2533814007152 & 0.955847059819037 \tabularnewline
0.3 & 31.4607746139506 & 0.966442102349432 \tabularnewline
0.31 & 31.6687451021094 & 0.976395415609266 \tabularnewline
0.32 & 31.8772050438321 & 0.98724262769561 \tabularnewline
0.33 & 32.086306518995 & 0.999594427262573 \tabularnewline
0.34 & 32.2962916603922 & 1.01332651387349 \tabularnewline
0.35 & 32.5073550630627 & 1.02747820881231 \tabularnewline
0.36 & 32.7195467954288 & 1.04074520548222 \tabularnewline
0.37 & 32.9327320937499 & 1.05195651554381 \tabularnewline
0.38 & 33.1466080901906 & 1.06025466890515 \tabularnewline
0.39 & 33.3607629556878 & 1.06530849568660 \tabularnewline
0.4 & 33.5747525244143 & 1.06739362409162 \tabularnewline
0.41 & 33.7881663425868 & 1.06697749022946 \tabularnewline
0.42 & 34.0006597784195 & 1.06488279950691 \tabularnewline
0.43 & 34.2119399822588 & 1.06150252234551 \tabularnewline
0.44 & 34.4217080824207 & 1.05679647397202 \tabularnewline
0.45 & 34.6295740744536 & 1.05000584475637 \tabularnewline
0.46 & 34.8349704749272 & 1.03972773416428 \tabularnewline
0.47 & 35.0370931550494 & 1.02437796496095 \tabularnewline
0.48 & 35.2348920378083 & 1.00228473012442 \tabularnewline
0.49 & 35.4271220648182 & 0.972375882406204 \tabularnewline
0.5 & 35.612449479152 & 0.934384596906974 \tabularnewline
0.51 & 35.7895943719011 & 0.888902272777635 \tabularnewline
0.52 & 35.9574814784825 & 0.837650062384732 \tabularnewline
0.53 & 36.1153696297025 & 0.782824545971239 \tabularnewline
0.54 & 36.2629360944081 & 0.726932828924027 \tabularnewline
0.55 & 36.4003032716300 & 0.672702398165237 \tabularnewline
0.56 & 36.5280084851397 & 0.622304530845485 \tabularnewline
0.57 & 36.6469294447263 & 0.577425756183966 \tabularnewline
0.58 & 36.758185440499 & 0.539091272215685 \tabularnewline
0.59 & 36.8630360723311 & 0.507587691440372 \tabularnewline
0.6 & 36.9627954005163 & 0.482891143168529 \tabularnewline
0.61 & 37.0587713356044 & 0.464577325679332 \tabularnewline
0.62 & 37.1522302993251 & 0.452336994145245 \tabularnewline
0.63 & 37.2443784640076 & 0.445708234594214 \tabularnewline
0.64 & 37.3363457096112 & 0.444350599265297 \tabularnewline
0.65 & 37.4291584385282 & 0.447890392797018 \tabularnewline
0.66 & 37.5236928130438 & 0.455461835906053 \tabularnewline
0.67 & 37.620609488525 & 0.465920664452316 \tabularnewline
0.68 & 37.7202817167430 & 0.47751147437584 \tabularnewline
0.69 & 37.822737161434 & 0.488257424602305 \tabularnewline
0.7 & 37.9276364701897 & 0.496125468612994 \tabularnewline
0.71 & 38.0343065493329 & 0.499358939129475 \tabularnewline
0.72 & 38.1418339307278 & 0.496857416235334 \tabularnewline
0.73 & 38.2492066417412 & 0.488538694718381 \tabularnewline
0.74 & 38.3554767690377 & 0.475112889303245 \tabularnewline
0.75 & 38.4599063576766 & 0.458217476038056 \tabularnewline
0.76 & 38.5620611770266 & 0.439753795380508 \tabularnewline
0.77 & 38.6618319886572 & 0.421568598357447 \tabularnewline
0.78 & 38.759388763698 & 0.405019267720592 \tabularnewline
0.79 & 38.8551027634963 & 0.390607097018498 \tabularnewline
0.8 & 38.9494940257576 & 0.378390471865004 \tabularnewline
0.81 & 39.0432663596823 & 0.368256622339018 \tabularnewline
0.82 & 39.1374705578795 & 0.360850107314603 \tabularnewline
0.83 & 39.2337891391912 & 0.358274410886636 \tabularnewline
0.84 & 39.3348736007563 & 0.364362928530341 \tabularnewline
0.85 & 39.4446100777381 & 0.384118111925401 \tabularnewline
0.86 & 39.5681702709711 & 0.421986409630715 \tabularnewline
0.87 & 39.7117471734144 & 0.479692846273204 \tabularnewline
0.88 & 39.8819869518516 & 0.554961383306571 \tabularnewline
0.89 & 40.0852781297684 & 0.642076743078109 \tabularnewline
0.9 & 40.3271564100095 & 0.733447538389973 \tabularnewline
0.91 & 40.6119803860268 & 0.822052518084469 \tabularnewline
0.92 & 40.9426069999221 & 0.902841274700562 \tabularnewline
0.93 & 41.3191748659558 & 0.97053082655184 \tabularnewline
0.94 & 41.7359815469468 & 1.01224124554917 \tabularnewline
0.95 & 42.1770282524678 & 1.00025010130320 \tabularnewline
0.96 & 42.6144925920207 & 0.90039690189782 \tabularnewline
0.97 & 43.016530097481 & 0.706179035338266 \tabularnewline
0.98 & 43.3618846509921 & 0.483365462805265 \tabularnewline
0.99 & 43.6367989492049 & 0.371808504278927 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47321&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]21.3924165488012[/C][C]0.449028160181828[/C][/ROW]
[ROW][C]0.02[/C][C]21.7482711829035[/C][C]0.660587740909768[/C][/ROW]
[ROW][C]0.03[/C][C]22.1991302520762[/C][C]0.86222644596945[/C][/ROW]
[ROW][C]0.04[/C][C]22.7158157201186[/C][C]1.12833838735682[/C][/ROW]
[ROW][C]0.05[/C][C]23.3047391594295[/C][C]1.47287117463998[/C][/ROW]
[ROW][C]0.06[/C][C]23.9744046284876[/C][C]1.81782454625098[/C][/ROW]
[ROW][C]0.07[/C][C]24.7117150966519[/C][C]2.06637884731268[/C][/ROW]
[ROW][C]0.08[/C][C]25.4791053630336[/C][C]2.1544947600393[/C][/ROW]
[ROW][C]0.09[/C][C]26.2266701345498[/C][C]2.07076168981623[/C][/ROW]
[ROW][C]0.1[/C][C]26.9082519931902[/C][C]1.85094843834505[/C][/ROW]
[ROW][C]0.11[/C][C]27.4930801124827[/C][C]1.55625972711742[/C][/ROW]
[ROW][C]0.12[/C][C]27.9697621426909[/C][C]1.24874429885893[/C][/ROW]
[ROW][C]0.13[/C][C]28.3437352492262[/C][C]0.974740792396354[/C][/ROW]
[ROW][C]0.14[/C][C]28.6313218656884[/C][C]0.759785353719217[/C][/ROW]
[ROW][C]0.15[/C][C]28.8534618096945[/C][C]0.611865259917979[/C][/ROW]
[ROW][C]0.16[/C][C]29.0309673407429[/C][C]0.527415163756056[/C][/ROW]
[ROW][C]0.17[/C][C]29.1818076566847[/C][C]0.496176890863322[/C][/ROW]
[ROW][C]0.18[/C][C]29.3200729660261[/C][C]0.504802977939745[/C][/ROW]
[ROW][C]0.19[/C][C]29.4559817784004[/C][C]0.540270069724861[/C][/ROW]
[ROW][C]0.2[/C][C]29.5963756441373[/C][C]0.591810986183187[/C][/ROW]
[ROW][C]0.21[/C][C]29.7453532068179[/C][C]0.651146362003919[/C][/ROW]
[ROW][C]0.22[/C][C]29.9048808751676[/C][C]0.71203579225932[/C][/ROW]
[ROW][C]0.23[/C][C]30.0753311533906[/C][C]0.769828132008571[/C][/ROW]
[ROW][C]0.24[/C][C]30.2559497411099[/C][C]0.821207832530194[/C][/ROW]
[ROW][C]0.25[/C][C]30.4452641796254[/C][C]0.864329057839214[/C][/ROW]
[ROW][C]0.26[/C][C]30.6414416273164[/C][C]0.89846549030208[/C][/ROW]
[ROW][C]0.27[/C][C]30.8425940211317[/C][C]0.924071261969799[/C][/ROW]
[ROW][C]0.28[/C][C]31.0470214298605[/C][C]0.942514899572973[/C][/ROW]
[ROW][C]0.29[/C][C]31.2533814007152[/C][C]0.955847059819037[/C][/ROW]
[ROW][C]0.3[/C][C]31.4607746139506[/C][C]0.966442102349432[/C][/ROW]
[ROW][C]0.31[/C][C]31.6687451021094[/C][C]0.976395415609266[/C][/ROW]
[ROW][C]0.32[/C][C]31.8772050438321[/C][C]0.98724262769561[/C][/ROW]
[ROW][C]0.33[/C][C]32.086306518995[/C][C]0.999594427262573[/C][/ROW]
[ROW][C]0.34[/C][C]32.2962916603922[/C][C]1.01332651387349[/C][/ROW]
[ROW][C]0.35[/C][C]32.5073550630627[/C][C]1.02747820881231[/C][/ROW]
[ROW][C]0.36[/C][C]32.7195467954288[/C][C]1.04074520548222[/C][/ROW]
[ROW][C]0.37[/C][C]32.9327320937499[/C][C]1.05195651554381[/C][/ROW]
[ROW][C]0.38[/C][C]33.1466080901906[/C][C]1.06025466890515[/C][/ROW]
[ROW][C]0.39[/C][C]33.3607629556878[/C][C]1.06530849568660[/C][/ROW]
[ROW][C]0.4[/C][C]33.5747525244143[/C][C]1.06739362409162[/C][/ROW]
[ROW][C]0.41[/C][C]33.7881663425868[/C][C]1.06697749022946[/C][/ROW]
[ROW][C]0.42[/C][C]34.0006597784195[/C][C]1.06488279950691[/C][/ROW]
[ROW][C]0.43[/C][C]34.2119399822588[/C][C]1.06150252234551[/C][/ROW]
[ROW][C]0.44[/C][C]34.4217080824207[/C][C]1.05679647397202[/C][/ROW]
[ROW][C]0.45[/C][C]34.6295740744536[/C][C]1.05000584475637[/C][/ROW]
[ROW][C]0.46[/C][C]34.8349704749272[/C][C]1.03972773416428[/C][/ROW]
[ROW][C]0.47[/C][C]35.0370931550494[/C][C]1.02437796496095[/C][/ROW]
[ROW][C]0.48[/C][C]35.2348920378083[/C][C]1.00228473012442[/C][/ROW]
[ROW][C]0.49[/C][C]35.4271220648182[/C][C]0.972375882406204[/C][/ROW]
[ROW][C]0.5[/C][C]35.612449479152[/C][C]0.934384596906974[/C][/ROW]
[ROW][C]0.51[/C][C]35.7895943719011[/C][C]0.888902272777635[/C][/ROW]
[ROW][C]0.52[/C][C]35.9574814784825[/C][C]0.837650062384732[/C][/ROW]
[ROW][C]0.53[/C][C]36.1153696297025[/C][C]0.782824545971239[/C][/ROW]
[ROW][C]0.54[/C][C]36.2629360944081[/C][C]0.726932828924027[/C][/ROW]
[ROW][C]0.55[/C][C]36.4003032716300[/C][C]0.672702398165237[/C][/ROW]
[ROW][C]0.56[/C][C]36.5280084851397[/C][C]0.622304530845485[/C][/ROW]
[ROW][C]0.57[/C][C]36.6469294447263[/C][C]0.577425756183966[/C][/ROW]
[ROW][C]0.58[/C][C]36.758185440499[/C][C]0.539091272215685[/C][/ROW]
[ROW][C]0.59[/C][C]36.8630360723311[/C][C]0.507587691440372[/C][/ROW]
[ROW][C]0.6[/C][C]36.9627954005163[/C][C]0.482891143168529[/C][/ROW]
[ROW][C]0.61[/C][C]37.0587713356044[/C][C]0.464577325679332[/C][/ROW]
[ROW][C]0.62[/C][C]37.1522302993251[/C][C]0.452336994145245[/C][/ROW]
[ROW][C]0.63[/C][C]37.2443784640076[/C][C]0.445708234594214[/C][/ROW]
[ROW][C]0.64[/C][C]37.3363457096112[/C][C]0.444350599265297[/C][/ROW]
[ROW][C]0.65[/C][C]37.4291584385282[/C][C]0.447890392797018[/C][/ROW]
[ROW][C]0.66[/C][C]37.5236928130438[/C][C]0.455461835906053[/C][/ROW]
[ROW][C]0.67[/C][C]37.620609488525[/C][C]0.465920664452316[/C][/ROW]
[ROW][C]0.68[/C][C]37.7202817167430[/C][C]0.47751147437584[/C][/ROW]
[ROW][C]0.69[/C][C]37.822737161434[/C][C]0.488257424602305[/C][/ROW]
[ROW][C]0.7[/C][C]37.9276364701897[/C][C]0.496125468612994[/C][/ROW]
[ROW][C]0.71[/C][C]38.0343065493329[/C][C]0.499358939129475[/C][/ROW]
[ROW][C]0.72[/C][C]38.1418339307278[/C][C]0.496857416235334[/C][/ROW]
[ROW][C]0.73[/C][C]38.2492066417412[/C][C]0.488538694718381[/C][/ROW]
[ROW][C]0.74[/C][C]38.3554767690377[/C][C]0.475112889303245[/C][/ROW]
[ROW][C]0.75[/C][C]38.4599063576766[/C][C]0.458217476038056[/C][/ROW]
[ROW][C]0.76[/C][C]38.5620611770266[/C][C]0.439753795380508[/C][/ROW]
[ROW][C]0.77[/C][C]38.6618319886572[/C][C]0.421568598357447[/C][/ROW]
[ROW][C]0.78[/C][C]38.759388763698[/C][C]0.405019267720592[/C][/ROW]
[ROW][C]0.79[/C][C]38.8551027634963[/C][C]0.390607097018498[/C][/ROW]
[ROW][C]0.8[/C][C]38.9494940257576[/C][C]0.378390471865004[/C][/ROW]
[ROW][C]0.81[/C][C]39.0432663596823[/C][C]0.368256622339018[/C][/ROW]
[ROW][C]0.82[/C][C]39.1374705578795[/C][C]0.360850107314603[/C][/ROW]
[ROW][C]0.83[/C][C]39.2337891391912[/C][C]0.358274410886636[/C][/ROW]
[ROW][C]0.84[/C][C]39.3348736007563[/C][C]0.364362928530341[/C][/ROW]
[ROW][C]0.85[/C][C]39.4446100777381[/C][C]0.384118111925401[/C][/ROW]
[ROW][C]0.86[/C][C]39.5681702709711[/C][C]0.421986409630715[/C][/ROW]
[ROW][C]0.87[/C][C]39.7117471734144[/C][C]0.479692846273204[/C][/ROW]
[ROW][C]0.88[/C][C]39.8819869518516[/C][C]0.554961383306571[/C][/ROW]
[ROW][C]0.89[/C][C]40.0852781297684[/C][C]0.642076743078109[/C][/ROW]
[ROW][C]0.9[/C][C]40.3271564100095[/C][C]0.733447538389973[/C][/ROW]
[ROW][C]0.91[/C][C]40.6119803860268[/C][C]0.822052518084469[/C][/ROW]
[ROW][C]0.92[/C][C]40.9426069999221[/C][C]0.902841274700562[/C][/ROW]
[ROW][C]0.93[/C][C]41.3191748659558[/C][C]0.97053082655184[/C][/ROW]
[ROW][C]0.94[/C][C]41.7359815469468[/C][C]1.01224124554917[/C][/ROW]
[ROW][C]0.95[/C][C]42.1770282524678[/C][C]1.00025010130320[/C][/ROW]
[ROW][C]0.96[/C][C]42.6144925920207[/C][C]0.90039690189782[/C][/ROW]
[ROW][C]0.97[/C][C]43.016530097481[/C][C]0.706179035338266[/C][/ROW]
[ROW][C]0.98[/C][C]43.3618846509921[/C][C]0.483365462805265[/C][/ROW]
[ROW][C]0.99[/C][C]43.6367989492049[/C][C]0.371808504278927[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47321&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47321&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
0.0121.39241654880120.449028160181828
0.0221.74827118290350.660587740909768
0.0322.19913025207620.86222644596945
0.0422.71581572011861.12833838735682
0.0523.30473915942951.47287117463998
0.0623.97440462848761.81782454625098
0.0724.71171509665192.06637884731268
0.0825.47910536303362.1544947600393
0.0926.22667013454982.07076168981623
0.126.90825199319021.85094843834505
0.1127.49308011248271.55625972711742
0.1227.96976214269091.24874429885893
0.1328.34373524922620.974740792396354
0.1428.63132186568840.759785353719217
0.1528.85346180969450.611865259917979
0.1629.03096734074290.527415163756056
0.1729.18180765668470.496176890863322
0.1829.32007296602610.504802977939745
0.1929.45598177840040.540270069724861
0.229.59637564413730.591810986183187
0.2129.74535320681790.651146362003919
0.2229.90488087516760.71203579225932
0.2330.07533115339060.769828132008571
0.2430.25594974110990.821207832530194
0.2530.44526417962540.864329057839214
0.2630.64144162731640.89846549030208
0.2730.84259402113170.924071261969799
0.2831.04702142986050.942514899572973
0.2931.25338140071520.955847059819037
0.331.46077461395060.966442102349432
0.3131.66874510210940.976395415609266
0.3231.87720504383210.98724262769561
0.3332.0863065189950.999594427262573
0.3432.29629166039221.01332651387349
0.3532.50735506306271.02747820881231
0.3632.71954679542881.04074520548222
0.3732.93273209374991.05195651554381
0.3833.14660809019061.06025466890515
0.3933.36076295568781.06530849568660
0.433.57475252441431.06739362409162
0.4133.78816634258681.06697749022946
0.4234.00065977841951.06488279950691
0.4334.21193998225881.06150252234551
0.4434.42170808242071.05679647397202
0.4534.62957407445361.05000584475637
0.4634.83497047492721.03972773416428
0.4735.03709315504941.02437796496095
0.4835.23489203780831.00228473012442
0.4935.42712206481820.972375882406204
0.535.6124494791520.934384596906974
0.5135.78959437190110.888902272777635
0.5235.95748147848250.837650062384732
0.5336.11536962970250.782824545971239
0.5436.26293609440810.726932828924027
0.5536.40030327163000.672702398165237
0.5636.52800848513970.622304530845485
0.5736.64692944472630.577425756183966
0.5836.7581854404990.539091272215685
0.5936.86303607233110.507587691440372
0.636.96279540051630.482891143168529
0.6137.05877133560440.464577325679332
0.6237.15223029932510.452336994145245
0.6337.24437846400760.445708234594214
0.6437.33634570961120.444350599265297
0.6537.42915843852820.447890392797018
0.6637.52369281304380.455461835906053
0.6737.6206094885250.465920664452316
0.6837.72028171674300.47751147437584
0.6937.8227371614340.488257424602305
0.737.92763647018970.496125468612994
0.7138.03430654933290.499358939129475
0.7238.14183393072780.496857416235334
0.7338.24920664174120.488538694718381
0.7438.35547676903770.475112889303245
0.7538.45990635767660.458217476038056
0.7638.56206117702660.439753795380508
0.7738.66183198865720.421568598357447
0.7838.7593887636980.405019267720592
0.7938.85510276349630.390607097018498
0.838.94949402575760.378390471865004
0.8139.04326635968230.368256622339018
0.8239.13747055787950.360850107314603
0.8339.23378913919120.358274410886636
0.8439.33487360075630.364362928530341
0.8539.44461007773810.384118111925401
0.8639.56817027097110.421986409630715
0.8739.71174717341440.479692846273204
0.8839.88198695185160.554961383306571
0.8940.08527812976840.642076743078109
0.940.32715641000950.733447538389973
0.9140.61198038602680.822052518084469
0.9240.94260699992210.902841274700562
0.9341.31917486595580.97053082655184
0.9441.73598154694681.01224124554917
0.9542.17702825246781.00025010130320
0.9642.61449259202070.90039690189782
0.9743.0165300974810.706179035338266
0.9843.36188465099210.483365462805265
0.9943.63679894920490.371808504278927


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')