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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, 10 Feb 2015 15:06:50 +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/2015/Feb/10/t1423581056qfzmty2ouedctdi.htm/, Retrieved Sat, 18 May 2024 00:52:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=276969, Retrieved Sat, 18 May 2024 00:52:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact168

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] [] [2015-02-10 15:06:50] [a916b42d6b56a629542ed1ac6e46ec84] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
13671
15698
18150
16245
18479
18479
18819
18059
17004
16981
16578
21604
13419
14487
17349
15646
17419
17358
18221
19554
14386
16833
18067
19662
12192
15081
13698
18474
13871
15669
17597
15469
15374
16568
11619
16780
8700
8906
9612
10073
10275
9921
13237
9572
10425
11385
9970
15456
7708
8892
11145
11069
9893
10929
12240
10411
9747
9950
10079
14064
8368
9558
10432
10068
9915
9549
10433
10009
10327
9453
9494
13133
7082
7805
9064
8236
10182
16210
7451
8384
7143
8507
9833
17364
6260
7897
8933
6554
8333
7224
9659
9977
9289
9929
10576
15463

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276969&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276969&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276969&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.016436.14619938076341.374150665069
0.026704.68468615384363.094380165007
0.036957.82621503898327.637390582717
0.047165.81368390643308.299076540898
0.057342.52811680589325.7052984032
0.067505.7754356003352.077246520841
0.077663.51549348077368.759918467854
0.087815.95084759304372.754942070676
0.097960.82306897309367.420857958366
0.18096.54493901886357.448622231936
0.118223.06850454072347.651604548563
0.128341.65661863832341.971582385168
0.138454.28551517348342.103832488627
0.148562.98582329036347.046204398918
0.158669.30615205241354.060118711757
0.168774.02311699556360.195289685684
0.178877.11646343444363.097710699292
0.188977.93264308823361.192737083225
0.199075.43330559164353.716983008734
0.29168.45468232985340.568107029613
0.219255.94124307063322.511666043734
0.229337.13223380958301.071247304663
0.239411.67789140362278.261064896341
0.249479.66425192038256.13540962173
0.259541.54347057764236.22588268174
0.269597.99457983357219.233260815898
0.279649.76187823977205.041395519128
0.289697.52217877361192.875489779088
0.299741.81644327405181.954087427783
0.39783.05446410267171.703071733
0.319821.57556806929162.083772969084
0.329857.73331902449153.619808131923
0.339891.97111178021147.140359443003
0.349924.86565712309143.605574847528
0.359957.13068447406143.829484221215
0.369989.58763432549148.263973078204
0.3710023.1195593218157.088191472115
0.3810058.6274130058170.104904485548
0.3910097.0050272215187.144578618307
0.410139.1421840191208.128071944338
0.4110185.9564206799233.320912271127
0.4210238.4455608746263.382717423291
0.4310297.7461170516299.24440728406
0.4410365.1789461991342.082962829608
0.4510442.2636315935392.966972532415
0.4610530.6870844412452.601670302295
0.4710632.2191285095521.120097208021
0.4810748.5770639266597.79064710752
0.4910881.2508781704680.910749022
0.511031.3094840279767.839047636623
0.5111199.2149922567855.068101500839
0.5211384.6755811366938.542918630816
0.5311586.56690121581013.91243261067
0.5411802.94592178361077.2180173624
0.5512031.16882906811125.27293444842
0.5612268.10647921821156.19074904833
0.5712510.42966384381169.73763634851
0.5812754.91714189761167.28960098887
0.5912998.72848537851151.63404416295
0.613239.58690962481126.33484471612
0.6113475.83657676351094.9857544494
0.6213706.37116013911060.38234965468
0.6313930.46707027131024.12975168149
0.6414147.5837759213986.441170861151
0.6514357.2040343633946.651805656379
0.6614558.7727932595903.904907913506
0.6714751.7576434218857.91893750823
0.6814935.8071523256809.681949205216
0.6915110.9426701243761.356362314074
0.715277.7002089322716.070367579284
0.7115437.1507488695676.900284103875
0.7215590.7675395246645.902292942429
0.7315740.1639142552623.415519748435
0.7415886.7742613349607.688417136478
0.7516031.5747437799595.580106114412
0.7616174.9292894133583.559428303351
0.7716316.6048195545568.785580047739
0.7816455.9451591094549.756427711189
0.7916592.1481117843526.545094057288
0.816724.5709268668500.500979177643
0.8116852.9965547298473.865702040156
0.8216977.8118377592449.211890032888
0.8317100.0601603806429.068297903798
0.8417221.3300418562415.397384999381
0.8517343.4473642345408.930802780334
0.8617467.985320934408.086942626409
0.8717595.7045381995408.828682936383
0.8817726.1459770074405.615710667477
0.8917857.6447469289393.658845328303
0.917987.9752626069371.368726611898
0.9118115.7342322098341.804909761374
0.9218242.4753027091313.395298958711
0.9318375.3387946828300.987282583151
0.9418529.1121575074324.83765947904
0.9518726.1489548281395.429611474657
0.9618996.5809867334493.118624814561
0.9719391.4211878853597.070635334166
0.9820003.1851793791813.765549865558
0.9920866.5233711791346.02082529015

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6436.14619938076 & 341.374150665069 \tabularnewline
0.02 & 6704.68468615384 & 363.094380165007 \tabularnewline
0.03 & 6957.82621503898 & 327.637390582717 \tabularnewline
0.04 & 7165.81368390643 & 308.299076540898 \tabularnewline
0.05 & 7342.52811680589 & 325.7052984032 \tabularnewline
0.06 & 7505.7754356003 & 352.077246520841 \tabularnewline
0.07 & 7663.51549348077 & 368.759918467854 \tabularnewline
0.08 & 7815.95084759304 & 372.754942070676 \tabularnewline
0.09 & 7960.82306897309 & 367.420857958366 \tabularnewline
0.1 & 8096.54493901886 & 357.448622231936 \tabularnewline
0.11 & 8223.06850454072 & 347.651604548563 \tabularnewline
0.12 & 8341.65661863832 & 341.971582385168 \tabularnewline
0.13 & 8454.28551517348 & 342.103832488627 \tabularnewline
0.14 & 8562.98582329036 & 347.046204398918 \tabularnewline
0.15 & 8669.30615205241 & 354.060118711757 \tabularnewline
0.16 & 8774.02311699556 & 360.195289685684 \tabularnewline
0.17 & 8877.11646343444 & 363.097710699292 \tabularnewline
0.18 & 8977.93264308823 & 361.192737083225 \tabularnewline
0.19 & 9075.43330559164 & 353.716983008734 \tabularnewline
0.2 & 9168.45468232985 & 340.568107029613 \tabularnewline
0.21 & 9255.94124307063 & 322.511666043734 \tabularnewline
0.22 & 9337.13223380958 & 301.071247304663 \tabularnewline
0.23 & 9411.67789140362 & 278.261064896341 \tabularnewline
0.24 & 9479.66425192038 & 256.13540962173 \tabularnewline
0.25 & 9541.54347057764 & 236.22588268174 \tabularnewline
0.26 & 9597.99457983357 & 219.233260815898 \tabularnewline
0.27 & 9649.76187823977 & 205.041395519128 \tabularnewline
0.28 & 9697.52217877361 & 192.875489779088 \tabularnewline
0.29 & 9741.81644327405 & 181.954087427783 \tabularnewline
0.3 & 9783.05446410267 & 171.703071733 \tabularnewline
0.31 & 9821.57556806929 & 162.083772969084 \tabularnewline
0.32 & 9857.73331902449 & 153.619808131923 \tabularnewline
0.33 & 9891.97111178021 & 147.140359443003 \tabularnewline
0.34 & 9924.86565712309 & 143.605574847528 \tabularnewline
0.35 & 9957.13068447406 & 143.829484221215 \tabularnewline
0.36 & 9989.58763432549 & 148.263973078204 \tabularnewline
0.37 & 10023.1195593218 & 157.088191472115 \tabularnewline
0.38 & 10058.6274130058 & 170.104904485548 \tabularnewline
0.39 & 10097.0050272215 & 187.144578618307 \tabularnewline
0.4 & 10139.1421840191 & 208.128071944338 \tabularnewline
0.41 & 10185.9564206799 & 233.320912271127 \tabularnewline
0.42 & 10238.4455608746 & 263.382717423291 \tabularnewline
0.43 & 10297.7461170516 & 299.24440728406 \tabularnewline
0.44 & 10365.1789461991 & 342.082962829608 \tabularnewline
0.45 & 10442.2636315935 & 392.966972532415 \tabularnewline
0.46 & 10530.6870844412 & 452.601670302295 \tabularnewline
0.47 & 10632.2191285095 & 521.120097208021 \tabularnewline
0.48 & 10748.5770639266 & 597.79064710752 \tabularnewline
0.49 & 10881.2508781704 & 680.910749022 \tabularnewline
0.5 & 11031.3094840279 & 767.839047636623 \tabularnewline
0.51 & 11199.2149922567 & 855.068101500839 \tabularnewline
0.52 & 11384.6755811366 & 938.542918630816 \tabularnewline
0.53 & 11586.5669012158 & 1013.91243261067 \tabularnewline
0.54 & 11802.9459217836 & 1077.2180173624 \tabularnewline
0.55 & 12031.1688290681 & 1125.27293444842 \tabularnewline
0.56 & 12268.1064792182 & 1156.19074904833 \tabularnewline
0.57 & 12510.4296638438 & 1169.73763634851 \tabularnewline
0.58 & 12754.9171418976 & 1167.28960098887 \tabularnewline
0.59 & 12998.7284853785 & 1151.63404416295 \tabularnewline
0.6 & 13239.5869096248 & 1126.33484471612 \tabularnewline
0.61 & 13475.8365767635 & 1094.9857544494 \tabularnewline
0.62 & 13706.3711601391 & 1060.38234965468 \tabularnewline
0.63 & 13930.4670702713 & 1024.12975168149 \tabularnewline
0.64 & 14147.5837759213 & 986.441170861151 \tabularnewline
0.65 & 14357.2040343633 & 946.651805656379 \tabularnewline
0.66 & 14558.7727932595 & 903.904907913506 \tabularnewline
0.67 & 14751.7576434218 & 857.91893750823 \tabularnewline
0.68 & 14935.8071523256 & 809.681949205216 \tabularnewline
0.69 & 15110.9426701243 & 761.356362314074 \tabularnewline
0.7 & 15277.7002089322 & 716.070367579284 \tabularnewline
0.71 & 15437.1507488695 & 676.900284103875 \tabularnewline
0.72 & 15590.7675395246 & 645.902292942429 \tabularnewline
0.73 & 15740.1639142552 & 623.415519748435 \tabularnewline
0.74 & 15886.7742613349 & 607.688417136478 \tabularnewline
0.75 & 16031.5747437799 & 595.580106114412 \tabularnewline
0.76 & 16174.9292894133 & 583.559428303351 \tabularnewline
0.77 & 16316.6048195545 & 568.785580047739 \tabularnewline
0.78 & 16455.9451591094 & 549.756427711189 \tabularnewline
0.79 & 16592.1481117843 & 526.545094057288 \tabularnewline
0.8 & 16724.5709268668 & 500.500979177643 \tabularnewline
0.81 & 16852.9965547298 & 473.865702040156 \tabularnewline
0.82 & 16977.8118377592 & 449.211890032888 \tabularnewline
0.83 & 17100.0601603806 & 429.068297903798 \tabularnewline
0.84 & 17221.3300418562 & 415.397384999381 \tabularnewline
0.85 & 17343.4473642345 & 408.930802780334 \tabularnewline
0.86 & 17467.985320934 & 408.086942626409 \tabularnewline
0.87 & 17595.7045381995 & 408.828682936383 \tabularnewline
0.88 & 17726.1459770074 & 405.615710667477 \tabularnewline
0.89 & 17857.6447469289 & 393.658845328303 \tabularnewline
0.9 & 17987.9752626069 & 371.368726611898 \tabularnewline
0.91 & 18115.7342322098 & 341.804909761374 \tabularnewline
0.92 & 18242.4753027091 & 313.395298958711 \tabularnewline
0.93 & 18375.3387946828 & 300.987282583151 \tabularnewline
0.94 & 18529.1121575074 & 324.83765947904 \tabularnewline
0.95 & 18726.1489548281 & 395.429611474657 \tabularnewline
0.96 & 18996.5809867334 & 493.118624814561 \tabularnewline
0.97 & 19391.4211878853 & 597.070635334166 \tabularnewline
0.98 & 20003.1851793791 & 813.765549865558 \tabularnewline
0.99 & 20866.523371179 & 1346.02082529015 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276969&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]6436.14619938076[/C][C]341.374150665069[/C][/ROW]
[ROW][C]0.02[/C][C]6704.68468615384[/C][C]363.094380165007[/C][/ROW]
[ROW][C]0.03[/C][C]6957.82621503898[/C][C]327.637390582717[/C][/ROW]
[ROW][C]0.04[/C][C]7165.81368390643[/C][C]308.299076540898[/C][/ROW]
[ROW][C]0.05[/C][C]7342.52811680589[/C][C]325.7052984032[/C][/ROW]
[ROW][C]0.06[/C][C]7505.7754356003[/C][C]352.077246520841[/C][/ROW]
[ROW][C]0.07[/C][C]7663.51549348077[/C][C]368.759918467854[/C][/ROW]
[ROW][C]0.08[/C][C]7815.95084759304[/C][C]372.754942070676[/C][/ROW]
[ROW][C]0.09[/C][C]7960.82306897309[/C][C]367.420857958366[/C][/ROW]
[ROW][C]0.1[/C][C]8096.54493901886[/C][C]357.448622231936[/C][/ROW]
[ROW][C]0.11[/C][C]8223.06850454072[/C][C]347.651604548563[/C][/ROW]
[ROW][C]0.12[/C][C]8341.65661863832[/C][C]341.971582385168[/C][/ROW]
[ROW][C]0.13[/C][C]8454.28551517348[/C][C]342.103832488627[/C][/ROW]
[ROW][C]0.14[/C][C]8562.98582329036[/C][C]347.046204398918[/C][/ROW]
[ROW][C]0.15[/C][C]8669.30615205241[/C][C]354.060118711757[/C][/ROW]
[ROW][C]0.16[/C][C]8774.02311699556[/C][C]360.195289685684[/C][/ROW]
[ROW][C]0.17[/C][C]8877.11646343444[/C][C]363.097710699292[/C][/ROW]
[ROW][C]0.18[/C][C]8977.93264308823[/C][C]361.192737083225[/C][/ROW]
[ROW][C]0.19[/C][C]9075.43330559164[/C][C]353.716983008734[/C][/ROW]
[ROW][C]0.2[/C][C]9168.45468232985[/C][C]340.568107029613[/C][/ROW]
[ROW][C]0.21[/C][C]9255.94124307063[/C][C]322.511666043734[/C][/ROW]
[ROW][C]0.22[/C][C]9337.13223380958[/C][C]301.071247304663[/C][/ROW]
[ROW][C]0.23[/C][C]9411.67789140362[/C][C]278.261064896341[/C][/ROW]
[ROW][C]0.24[/C][C]9479.66425192038[/C][C]256.13540962173[/C][/ROW]
[ROW][C]0.25[/C][C]9541.54347057764[/C][C]236.22588268174[/C][/ROW]
[ROW][C]0.26[/C][C]9597.99457983357[/C][C]219.233260815898[/C][/ROW]
[ROW][C]0.27[/C][C]9649.76187823977[/C][C]205.041395519128[/C][/ROW]
[ROW][C]0.28[/C][C]9697.52217877361[/C][C]192.875489779088[/C][/ROW]
[ROW][C]0.29[/C][C]9741.81644327405[/C][C]181.954087427783[/C][/ROW]
[ROW][C]0.3[/C][C]9783.05446410267[/C][C]171.703071733[/C][/ROW]
[ROW][C]0.31[/C][C]9821.57556806929[/C][C]162.083772969084[/C][/ROW]
[ROW][C]0.32[/C][C]9857.73331902449[/C][C]153.619808131923[/C][/ROW]
[ROW][C]0.33[/C][C]9891.97111178021[/C][C]147.140359443003[/C][/ROW]
[ROW][C]0.34[/C][C]9924.86565712309[/C][C]143.605574847528[/C][/ROW]
[ROW][C]0.35[/C][C]9957.13068447406[/C][C]143.829484221215[/C][/ROW]
[ROW][C]0.36[/C][C]9989.58763432549[/C][C]148.263973078204[/C][/ROW]
[ROW][C]0.37[/C][C]10023.1195593218[/C][C]157.088191472115[/C][/ROW]
[ROW][C]0.38[/C][C]10058.6274130058[/C][C]170.104904485548[/C][/ROW]
[ROW][C]0.39[/C][C]10097.0050272215[/C][C]187.144578618307[/C][/ROW]
[ROW][C]0.4[/C][C]10139.1421840191[/C][C]208.128071944338[/C][/ROW]
[ROW][C]0.41[/C][C]10185.9564206799[/C][C]233.320912271127[/C][/ROW]
[ROW][C]0.42[/C][C]10238.4455608746[/C][C]263.382717423291[/C][/ROW]
[ROW][C]0.43[/C][C]10297.7461170516[/C][C]299.24440728406[/C][/ROW]
[ROW][C]0.44[/C][C]10365.1789461991[/C][C]342.082962829608[/C][/ROW]
[ROW][C]0.45[/C][C]10442.2636315935[/C][C]392.966972532415[/C][/ROW]
[ROW][C]0.46[/C][C]10530.6870844412[/C][C]452.601670302295[/C][/ROW]
[ROW][C]0.47[/C][C]10632.2191285095[/C][C]521.120097208021[/C][/ROW]
[ROW][C]0.48[/C][C]10748.5770639266[/C][C]597.79064710752[/C][/ROW]
[ROW][C]0.49[/C][C]10881.2508781704[/C][C]680.910749022[/C][/ROW]
[ROW][C]0.5[/C][C]11031.3094840279[/C][C]767.839047636623[/C][/ROW]
[ROW][C]0.51[/C][C]11199.2149922567[/C][C]855.068101500839[/C][/ROW]
[ROW][C]0.52[/C][C]11384.6755811366[/C][C]938.542918630816[/C][/ROW]
[ROW][C]0.53[/C][C]11586.5669012158[/C][C]1013.91243261067[/C][/ROW]
[ROW][C]0.54[/C][C]11802.9459217836[/C][C]1077.2180173624[/C][/ROW]
[ROW][C]0.55[/C][C]12031.1688290681[/C][C]1125.27293444842[/C][/ROW]
[ROW][C]0.56[/C][C]12268.1064792182[/C][C]1156.19074904833[/C][/ROW]
[ROW][C]0.57[/C][C]12510.4296638438[/C][C]1169.73763634851[/C][/ROW]
[ROW][C]0.58[/C][C]12754.9171418976[/C][C]1167.28960098887[/C][/ROW]
[ROW][C]0.59[/C][C]12998.7284853785[/C][C]1151.63404416295[/C][/ROW]
[ROW][C]0.6[/C][C]13239.5869096248[/C][C]1126.33484471612[/C][/ROW]
[ROW][C]0.61[/C][C]13475.8365767635[/C][C]1094.9857544494[/C][/ROW]
[ROW][C]0.62[/C][C]13706.3711601391[/C][C]1060.38234965468[/C][/ROW]
[ROW][C]0.63[/C][C]13930.4670702713[/C][C]1024.12975168149[/C][/ROW]
[ROW][C]0.64[/C][C]14147.5837759213[/C][C]986.441170861151[/C][/ROW]
[ROW][C]0.65[/C][C]14357.2040343633[/C][C]946.651805656379[/C][/ROW]
[ROW][C]0.66[/C][C]14558.7727932595[/C][C]903.904907913506[/C][/ROW]
[ROW][C]0.67[/C][C]14751.7576434218[/C][C]857.91893750823[/C][/ROW]
[ROW][C]0.68[/C][C]14935.8071523256[/C][C]809.681949205216[/C][/ROW]
[ROW][C]0.69[/C][C]15110.9426701243[/C][C]761.356362314074[/C][/ROW]
[ROW][C]0.7[/C][C]15277.7002089322[/C][C]716.070367579284[/C][/ROW]
[ROW][C]0.71[/C][C]15437.1507488695[/C][C]676.900284103875[/C][/ROW]
[ROW][C]0.72[/C][C]15590.7675395246[/C][C]645.902292942429[/C][/ROW]
[ROW][C]0.73[/C][C]15740.1639142552[/C][C]623.415519748435[/C][/ROW]
[ROW][C]0.74[/C][C]15886.7742613349[/C][C]607.688417136478[/C][/ROW]
[ROW][C]0.75[/C][C]16031.5747437799[/C][C]595.580106114412[/C][/ROW]
[ROW][C]0.76[/C][C]16174.9292894133[/C][C]583.559428303351[/C][/ROW]
[ROW][C]0.77[/C][C]16316.6048195545[/C][C]568.785580047739[/C][/ROW]
[ROW][C]0.78[/C][C]16455.9451591094[/C][C]549.756427711189[/C][/ROW]
[ROW][C]0.79[/C][C]16592.1481117843[/C][C]526.545094057288[/C][/ROW]
[ROW][C]0.8[/C][C]16724.5709268668[/C][C]500.500979177643[/C][/ROW]
[ROW][C]0.81[/C][C]16852.9965547298[/C][C]473.865702040156[/C][/ROW]
[ROW][C]0.82[/C][C]16977.8118377592[/C][C]449.211890032888[/C][/ROW]
[ROW][C]0.83[/C][C]17100.0601603806[/C][C]429.068297903798[/C][/ROW]
[ROW][C]0.84[/C][C]17221.3300418562[/C][C]415.397384999381[/C][/ROW]
[ROW][C]0.85[/C][C]17343.4473642345[/C][C]408.930802780334[/C][/ROW]
[ROW][C]0.86[/C][C]17467.985320934[/C][C]408.086942626409[/C][/ROW]
[ROW][C]0.87[/C][C]17595.7045381995[/C][C]408.828682936383[/C][/ROW]
[ROW][C]0.88[/C][C]17726.1459770074[/C][C]405.615710667477[/C][/ROW]
[ROW][C]0.89[/C][C]17857.6447469289[/C][C]393.658845328303[/C][/ROW]
[ROW][C]0.9[/C][C]17987.9752626069[/C][C]371.368726611898[/C][/ROW]
[ROW][C]0.91[/C][C]18115.7342322098[/C][C]341.804909761374[/C][/ROW]
[ROW][C]0.92[/C][C]18242.4753027091[/C][C]313.395298958711[/C][/ROW]
[ROW][C]0.93[/C][C]18375.3387946828[/C][C]300.987282583151[/C][/ROW]
[ROW][C]0.94[/C][C]18529.1121575074[/C][C]324.83765947904[/C][/ROW]
[ROW][C]0.95[/C][C]18726.1489548281[/C][C]395.429611474657[/C][/ROW]
[ROW][C]0.96[/C][C]18996.5809867334[/C][C]493.118624814561[/C][/ROW]
[ROW][C]0.97[/C][C]19391.4211878853[/C][C]597.070635334166[/C][/ROW]
[ROW][C]0.98[/C][C]20003.1851793791[/C][C]813.765549865558[/C][/ROW]
[ROW][C]0.99[/C][C]20866.523371179[/C][C]1346.02082529015[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276969&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276969&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
0.016436.14619938076341.374150665069
0.026704.68468615384363.094380165007
0.036957.82621503898327.637390582717
0.047165.81368390643308.299076540898
0.057342.52811680589325.7052984032
0.067505.7754356003352.077246520841
0.077663.51549348077368.759918467854
0.087815.95084759304372.754942070676
0.097960.82306897309367.420857958366
0.18096.54493901886357.448622231936
0.118223.06850454072347.651604548563
0.128341.65661863832341.971582385168
0.138454.28551517348342.103832488627
0.148562.98582329036347.046204398918
0.158669.30615205241354.060118711757
0.168774.02311699556360.195289685684
0.178877.11646343444363.097710699292
0.188977.93264308823361.192737083225
0.199075.43330559164353.716983008734
0.29168.45468232985340.568107029613
0.219255.94124307063322.511666043734
0.229337.13223380958301.071247304663
0.239411.67789140362278.261064896341
0.249479.66425192038256.13540962173
0.259541.54347057764236.22588268174
0.269597.99457983357219.233260815898
0.279649.76187823977205.041395519128
0.289697.52217877361192.875489779088
0.299741.81644327405181.954087427783
0.39783.05446410267171.703071733
0.319821.57556806929162.083772969084
0.329857.73331902449153.619808131923
0.339891.97111178021147.140359443003
0.349924.86565712309143.605574847528
0.359957.13068447406143.829484221215
0.369989.58763432549148.263973078204
0.3710023.1195593218157.088191472115
0.3810058.6274130058170.104904485548
0.3910097.0050272215187.144578618307
0.410139.1421840191208.128071944338
0.4110185.9564206799233.320912271127
0.4210238.4455608746263.382717423291
0.4310297.7461170516299.24440728406
0.4410365.1789461991342.082962829608
0.4510442.2636315935392.966972532415
0.4610530.6870844412452.601670302295
0.4710632.2191285095521.120097208021
0.4810748.5770639266597.79064710752
0.4910881.2508781704680.910749022
0.511031.3094840279767.839047636623
0.5111199.2149922567855.068101500839
0.5211384.6755811366938.542918630816
0.5311586.56690121581013.91243261067
0.5411802.94592178361077.2180173624
0.5512031.16882906811125.27293444842
0.5612268.10647921821156.19074904833
0.5712510.42966384381169.73763634851
0.5812754.91714189761167.28960098887
0.5912998.72848537851151.63404416295
0.613239.58690962481126.33484471612
0.6113475.83657676351094.9857544494
0.6213706.37116013911060.38234965468
0.6313930.46707027131024.12975168149
0.6414147.5837759213986.441170861151
0.6514357.2040343633946.651805656379
0.6614558.7727932595903.904907913506
0.6714751.7576434218857.91893750823
0.6814935.8071523256809.681949205216
0.6915110.9426701243761.356362314074
0.715277.7002089322716.070367579284
0.7115437.1507488695676.900284103875
0.7215590.7675395246645.902292942429
0.7315740.1639142552623.415519748435
0.7415886.7742613349607.688417136478
0.7516031.5747437799595.580106114412
0.7616174.9292894133583.559428303351
0.7716316.6048195545568.785580047739
0.7816455.9451591094549.756427711189
0.7916592.1481117843526.545094057288
0.816724.5709268668500.500979177643
0.8116852.9965547298473.865702040156
0.8216977.8118377592449.211890032888
0.8317100.0601603806429.068297903798
0.8417221.3300418562415.397384999381
0.8517343.4473642345408.930802780334
0.8617467.985320934408.086942626409
0.8717595.7045381995408.828682936383
0.8817726.1459770074405.615710667477
0.8917857.6447469289393.658845328303
0.917987.9752626069371.368726611898
0.9118115.7342322098341.804909761374
0.9218242.4753027091313.395298958711
0.9318375.3387946828300.987282583151
0.9418529.1121575074324.83765947904
0.9518726.1489548281395.429611474657
0.9618996.5809867334493.118624814561
0.9719391.4211878853597.070635334166
0.9820003.1851793791813.765549865558
0.9920866.5233711791346.02082529015


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')