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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 computationThu, 29 Apr 2010 08:38:00 +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/2010/Apr/29/t1272530476xuljkbk5pp2m7fz.htm/, Retrieved Thu, 25 Apr 2024 15:57:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=75038, Retrieved Thu, 25 Apr 2024 15:57:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact233

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2010-04-29 08:38:00] [6e43eada780a1520be8ab5bc59456d41] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1664.81
2397.53
2840.71
3547.29
3752.96
3714.74
4349.61
3566.34
5021.82
6423.48
7600.60
19756.21
2499.81
5198.24
7225.14
4806.03
5900.88
4951.34
6179.12
4752.15
5496.43
5835.10
12600.08
28541.72
4717.02
5702.63
9957.58
5304.78
6492.43
6630.80
7349.62
8176.62
8573.17
9690.50
15151.84
34061.01
5921.10
5814.58
12421.25
6369.77
7609.12
7224.75
8121.22
7979.25
8093.06
8476.70
17914.66
30114.41
4826.64
6470.23
9638.77
8821.17
8722.37
10209.48
11276.55
12552.22
11637.39
13606.89
21822.11
45060.69
7615.03
9849.69
14558.40
11587.33
9332.56
13082.09
16732.78
19888.61
23933.38
25391.35
36024.80
80721.71
10243.24
11266.88
21826.84
17357.33
15997.79
18601.53
26155.15
28586.52
30505.41
30821.33
46634.38
104660.67

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time7 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 7 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75038&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]7 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75038&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75038&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 time7 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011915.84852847702570.348410695193
0.022259.02878225798455.251613063554
0.032579.88898474813469.178557426966
0.042865.19158343957518.289414747925
0.053127.22784437224535.848848004819
0.063369.9167866484526.959119182734
0.073593.23343035773517.524497672514
0.083799.26371853988518.675713971596
0.093991.3327979025522.171772080076
0.14171.25842221781515.261498957428
0.114338.59336494998492.595266339761
0.124491.91536355631458.101493685663
0.134630.58085679912421.208591169972
0.144755.68791929408391.597964618551
0.154869.94983394954375.167014538812
0.164976.86683833844372.379049047216
0.175079.76853137034379.535824313081
0.185181.13937033053391.433235794783
0.195282.37494565546403.592301238892
0.25383.90885697325413.226878532801
0.215485.55226176672419.391138649595
0.225586.88294413201422.725061986557
0.235687.56637141803424.826859355683
0.245787.5508521278427.670483473988
0.255887.13007330644433.028810316409
0.265986.89938349884442.114089617563
0.276087.64625361156455.413580109977
0.286190.21449980806472.715263547031
0.296295.37254492219493.257092881207
0.36403.70466174481515.865381217326
0.316515.53520634538539.067101295069
0.326630.89071408282561.257091682888
0.336749.50216327386580.904078519161
0.346870.84735701525596.790696232149
0.356994.22950911094608.196070283149
0.367118.88271079526615.069989927251
0.377244.08956462255618.036529904346
0.387369.29305799286618.32906160993
0.397494.18523350528617.596250636823
0.47618.75952449582617.620157955978
0.417743.32052856279620.141627286784
0.427868.45256657176626.537799708378
0.437994.95485695148637.732957447828
0.448123.75549371105654.128644577188
0.458255.81842874584675.537461435981
0.468392.05759098936701.332868200285
0.478533.27046187852730.555283547427
0.488680.10004628726762.156477514536
0.498833.02934657828795.09755680121
0.58992.40653837312828.71829624569
0.519158.49298356316862.685316587284
0.529331.52148063558897.091067077301
0.539511.75039462843932.380587301038
0.549699.50166469397969.099530403415
0.559895.177093869151007.74941561546
0.5610099.25618835801048.64036471365
0.5710312.28726347541091.79446346863
0.5810534.88828365921137.20230224875
0.5910767.77244399191184.98589256332
0.611011.80519101671235.72050415847
0.6111268.08600854051290.61843453091
0.6211538.03382075751351.52462662469
0.6311823.44437339301420.66837186995
0.6412126.48608151941500.11159418272
0.6512449.61015508021591.13464164013
0.6612795.37067624711693.68593905576
0.6713166.17651891151805.98045080402
0.6813564.02260825571924.58104581199
0.6913990.26503326352045.00529240233
0.714445.50629196642162.35159987851
0.7114929.64041931202272.51810737348
0.7215442.07487982942373.03659254157
0.7315982.10374835742463.74485050637
0.7416549.36478816902547.04990818046
0.7517144.28166379492627.48002940803
0.7617768.37904945052710.78765988872
0.7718424.36584121192802.55511284993
0.7819115.90923864372906.61216059272
0.7919847.06767555063023.45975815793
0.820621.41183227693149.13833983674
0.8121440.94040545853274.72509939512
0.8222304.99114207123386.88406112266
0.8323209.4540263093469.59141568003
0.8424146.69956968543507.37665778434
0.8525106.71449951033489.65548669898
0.8626079.94664812933416.57705178624
0.8727062.24081984203305.24349457829
0.8828061.93566304033196.31201873608
0.8929108.68809586583159.03396630130
0.930263.1610161523289.6389164203
0.9131627.30871235883692.9590219725
0.9233358.61327034444453.87783468508
0.9335699.82150677865644.30169854794
0.9439043.01293767477420.28081100639
0.9544029.61118305410183.6219132135
0.9651606.139409532114443.8248863934
0.9762791.0620761719806.8207804757
0.9877733.96070329523941.1413486124
0.9993842.799476919724558.9760212455

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1915.84852847702 & 570.348410695193 \tabularnewline
0.02 & 2259.02878225798 & 455.251613063554 \tabularnewline
0.03 & 2579.88898474813 & 469.178557426966 \tabularnewline
0.04 & 2865.19158343957 & 518.289414747925 \tabularnewline
0.05 & 3127.22784437224 & 535.848848004819 \tabularnewline
0.06 & 3369.9167866484 & 526.959119182734 \tabularnewline
0.07 & 3593.23343035773 & 517.524497672514 \tabularnewline
0.08 & 3799.26371853988 & 518.675713971596 \tabularnewline
0.09 & 3991.3327979025 & 522.171772080076 \tabularnewline
0.1 & 4171.25842221781 & 515.261498957428 \tabularnewline
0.11 & 4338.59336494998 & 492.595266339761 \tabularnewline
0.12 & 4491.91536355631 & 458.101493685663 \tabularnewline
0.13 & 4630.58085679912 & 421.208591169972 \tabularnewline
0.14 & 4755.68791929408 & 391.597964618551 \tabularnewline
0.15 & 4869.94983394954 & 375.167014538812 \tabularnewline
0.16 & 4976.86683833844 & 372.379049047216 \tabularnewline
0.17 & 5079.76853137034 & 379.535824313081 \tabularnewline
0.18 & 5181.13937033053 & 391.433235794783 \tabularnewline
0.19 & 5282.37494565546 & 403.592301238892 \tabularnewline
0.2 & 5383.90885697325 & 413.226878532801 \tabularnewline
0.21 & 5485.55226176672 & 419.391138649595 \tabularnewline
0.22 & 5586.88294413201 & 422.725061986557 \tabularnewline
0.23 & 5687.56637141803 & 424.826859355683 \tabularnewline
0.24 & 5787.5508521278 & 427.670483473988 \tabularnewline
0.25 & 5887.13007330644 & 433.028810316409 \tabularnewline
0.26 & 5986.89938349884 & 442.114089617563 \tabularnewline
0.27 & 6087.64625361156 & 455.413580109977 \tabularnewline
0.28 & 6190.21449980806 & 472.715263547031 \tabularnewline
0.29 & 6295.37254492219 & 493.257092881207 \tabularnewline
0.3 & 6403.70466174481 & 515.865381217326 \tabularnewline
0.31 & 6515.53520634538 & 539.067101295069 \tabularnewline
0.32 & 6630.89071408282 & 561.257091682888 \tabularnewline
0.33 & 6749.50216327386 & 580.904078519161 \tabularnewline
0.34 & 6870.84735701525 & 596.790696232149 \tabularnewline
0.35 & 6994.22950911094 & 608.196070283149 \tabularnewline
0.36 & 7118.88271079526 & 615.069989927251 \tabularnewline
0.37 & 7244.08956462255 & 618.036529904346 \tabularnewline
0.38 & 7369.29305799286 & 618.32906160993 \tabularnewline
0.39 & 7494.18523350528 & 617.596250636823 \tabularnewline
0.4 & 7618.75952449582 & 617.620157955978 \tabularnewline
0.41 & 7743.32052856279 & 620.141627286784 \tabularnewline
0.42 & 7868.45256657176 & 626.537799708378 \tabularnewline
0.43 & 7994.95485695148 & 637.732957447828 \tabularnewline
0.44 & 8123.75549371105 & 654.128644577188 \tabularnewline
0.45 & 8255.81842874584 & 675.537461435981 \tabularnewline
0.46 & 8392.05759098936 & 701.332868200285 \tabularnewline
0.47 & 8533.27046187852 & 730.555283547427 \tabularnewline
0.48 & 8680.10004628726 & 762.156477514536 \tabularnewline
0.49 & 8833.02934657828 & 795.09755680121 \tabularnewline
0.5 & 8992.40653837312 & 828.71829624569 \tabularnewline
0.51 & 9158.49298356316 & 862.685316587284 \tabularnewline
0.52 & 9331.52148063558 & 897.091067077301 \tabularnewline
0.53 & 9511.75039462843 & 932.380587301038 \tabularnewline
0.54 & 9699.50166469397 & 969.099530403415 \tabularnewline
0.55 & 9895.17709386915 & 1007.74941561546 \tabularnewline
0.56 & 10099.2561883580 & 1048.64036471365 \tabularnewline
0.57 & 10312.2872634754 & 1091.79446346863 \tabularnewline
0.58 & 10534.8882836592 & 1137.20230224875 \tabularnewline
0.59 & 10767.7724439919 & 1184.98589256332 \tabularnewline
0.6 & 11011.8051910167 & 1235.72050415847 \tabularnewline
0.61 & 11268.0860085405 & 1290.61843453091 \tabularnewline
0.62 & 11538.0338207575 & 1351.52462662469 \tabularnewline
0.63 & 11823.4443733930 & 1420.66837186995 \tabularnewline
0.64 & 12126.4860815194 & 1500.11159418272 \tabularnewline
0.65 & 12449.6101550802 & 1591.13464164013 \tabularnewline
0.66 & 12795.3706762471 & 1693.68593905576 \tabularnewline
0.67 & 13166.1765189115 & 1805.98045080402 \tabularnewline
0.68 & 13564.0226082557 & 1924.58104581199 \tabularnewline
0.69 & 13990.2650332635 & 2045.00529240233 \tabularnewline
0.7 & 14445.5062919664 & 2162.35159987851 \tabularnewline
0.71 & 14929.6404193120 & 2272.51810737348 \tabularnewline
0.72 & 15442.0748798294 & 2373.03659254157 \tabularnewline
0.73 & 15982.1037483574 & 2463.74485050637 \tabularnewline
0.74 & 16549.3647881690 & 2547.04990818046 \tabularnewline
0.75 & 17144.2816637949 & 2627.48002940803 \tabularnewline
0.76 & 17768.3790494505 & 2710.78765988872 \tabularnewline
0.77 & 18424.3658412119 & 2802.55511284993 \tabularnewline
0.78 & 19115.9092386437 & 2906.61216059272 \tabularnewline
0.79 & 19847.0676755506 & 3023.45975815793 \tabularnewline
0.8 & 20621.4118322769 & 3149.13833983674 \tabularnewline
0.81 & 21440.9404054585 & 3274.72509939512 \tabularnewline
0.82 & 22304.9911420712 & 3386.88406112266 \tabularnewline
0.83 & 23209.454026309 & 3469.59141568003 \tabularnewline
0.84 & 24146.6995696854 & 3507.37665778434 \tabularnewline
0.85 & 25106.7144995103 & 3489.65548669898 \tabularnewline
0.86 & 26079.9466481293 & 3416.57705178624 \tabularnewline
0.87 & 27062.2408198420 & 3305.24349457829 \tabularnewline
0.88 & 28061.9356630403 & 3196.31201873608 \tabularnewline
0.89 & 29108.6880958658 & 3159.03396630130 \tabularnewline
0.9 & 30263.161016152 & 3289.6389164203 \tabularnewline
0.91 & 31627.3087123588 & 3692.9590219725 \tabularnewline
0.92 & 33358.6132703444 & 4453.87783468508 \tabularnewline
0.93 & 35699.8215067786 & 5644.30169854794 \tabularnewline
0.94 & 39043.0129376747 & 7420.28081100639 \tabularnewline
0.95 & 44029.611183054 & 10183.6219132135 \tabularnewline
0.96 & 51606.1394095321 & 14443.8248863934 \tabularnewline
0.97 & 62791.06207617 & 19806.8207804757 \tabularnewline
0.98 & 77733.960703295 & 23941.1413486124 \tabularnewline
0.99 & 93842.7994769197 & 24558.9760212455 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75038&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]1915.84852847702[/C][C]570.348410695193[/C][/ROW]
[ROW][C]0.02[/C][C]2259.02878225798[/C][C]455.251613063554[/C][/ROW]
[ROW][C]0.03[/C][C]2579.88898474813[/C][C]469.178557426966[/C][/ROW]
[ROW][C]0.04[/C][C]2865.19158343957[/C][C]518.289414747925[/C][/ROW]
[ROW][C]0.05[/C][C]3127.22784437224[/C][C]535.848848004819[/C][/ROW]
[ROW][C]0.06[/C][C]3369.9167866484[/C][C]526.959119182734[/C][/ROW]
[ROW][C]0.07[/C][C]3593.23343035773[/C][C]517.524497672514[/C][/ROW]
[ROW][C]0.08[/C][C]3799.26371853988[/C][C]518.675713971596[/C][/ROW]
[ROW][C]0.09[/C][C]3991.3327979025[/C][C]522.171772080076[/C][/ROW]
[ROW][C]0.1[/C][C]4171.25842221781[/C][C]515.261498957428[/C][/ROW]
[ROW][C]0.11[/C][C]4338.59336494998[/C][C]492.595266339761[/C][/ROW]
[ROW][C]0.12[/C][C]4491.91536355631[/C][C]458.101493685663[/C][/ROW]
[ROW][C]0.13[/C][C]4630.58085679912[/C][C]421.208591169972[/C][/ROW]
[ROW][C]0.14[/C][C]4755.68791929408[/C][C]391.597964618551[/C][/ROW]
[ROW][C]0.15[/C][C]4869.94983394954[/C][C]375.167014538812[/C][/ROW]
[ROW][C]0.16[/C][C]4976.86683833844[/C][C]372.379049047216[/C][/ROW]
[ROW][C]0.17[/C][C]5079.76853137034[/C][C]379.535824313081[/C][/ROW]
[ROW][C]0.18[/C][C]5181.13937033053[/C][C]391.433235794783[/C][/ROW]
[ROW][C]0.19[/C][C]5282.37494565546[/C][C]403.592301238892[/C][/ROW]
[ROW][C]0.2[/C][C]5383.90885697325[/C][C]413.226878532801[/C][/ROW]
[ROW][C]0.21[/C][C]5485.55226176672[/C][C]419.391138649595[/C][/ROW]
[ROW][C]0.22[/C][C]5586.88294413201[/C][C]422.725061986557[/C][/ROW]
[ROW][C]0.23[/C][C]5687.56637141803[/C][C]424.826859355683[/C][/ROW]
[ROW][C]0.24[/C][C]5787.5508521278[/C][C]427.670483473988[/C][/ROW]
[ROW][C]0.25[/C][C]5887.13007330644[/C][C]433.028810316409[/C][/ROW]
[ROW][C]0.26[/C][C]5986.89938349884[/C][C]442.114089617563[/C][/ROW]
[ROW][C]0.27[/C][C]6087.64625361156[/C][C]455.413580109977[/C][/ROW]
[ROW][C]0.28[/C][C]6190.21449980806[/C][C]472.715263547031[/C][/ROW]
[ROW][C]0.29[/C][C]6295.37254492219[/C][C]493.257092881207[/C][/ROW]
[ROW][C]0.3[/C][C]6403.70466174481[/C][C]515.865381217326[/C][/ROW]
[ROW][C]0.31[/C][C]6515.53520634538[/C][C]539.067101295069[/C][/ROW]
[ROW][C]0.32[/C][C]6630.89071408282[/C][C]561.257091682888[/C][/ROW]
[ROW][C]0.33[/C][C]6749.50216327386[/C][C]580.904078519161[/C][/ROW]
[ROW][C]0.34[/C][C]6870.84735701525[/C][C]596.790696232149[/C][/ROW]
[ROW][C]0.35[/C][C]6994.22950911094[/C][C]608.196070283149[/C][/ROW]
[ROW][C]0.36[/C][C]7118.88271079526[/C][C]615.069989927251[/C][/ROW]
[ROW][C]0.37[/C][C]7244.08956462255[/C][C]618.036529904346[/C][/ROW]
[ROW][C]0.38[/C][C]7369.29305799286[/C][C]618.32906160993[/C][/ROW]
[ROW][C]0.39[/C][C]7494.18523350528[/C][C]617.596250636823[/C][/ROW]
[ROW][C]0.4[/C][C]7618.75952449582[/C][C]617.620157955978[/C][/ROW]
[ROW][C]0.41[/C][C]7743.32052856279[/C][C]620.141627286784[/C][/ROW]
[ROW][C]0.42[/C][C]7868.45256657176[/C][C]626.537799708378[/C][/ROW]
[ROW][C]0.43[/C][C]7994.95485695148[/C][C]637.732957447828[/C][/ROW]
[ROW][C]0.44[/C][C]8123.75549371105[/C][C]654.128644577188[/C][/ROW]
[ROW][C]0.45[/C][C]8255.81842874584[/C][C]675.537461435981[/C][/ROW]
[ROW][C]0.46[/C][C]8392.05759098936[/C][C]701.332868200285[/C][/ROW]
[ROW][C]0.47[/C][C]8533.27046187852[/C][C]730.555283547427[/C][/ROW]
[ROW][C]0.48[/C][C]8680.10004628726[/C][C]762.156477514536[/C][/ROW]
[ROW][C]0.49[/C][C]8833.02934657828[/C][C]795.09755680121[/C][/ROW]
[ROW][C]0.5[/C][C]8992.40653837312[/C][C]828.71829624569[/C][/ROW]
[ROW][C]0.51[/C][C]9158.49298356316[/C][C]862.685316587284[/C][/ROW]
[ROW][C]0.52[/C][C]9331.52148063558[/C][C]897.091067077301[/C][/ROW]
[ROW][C]0.53[/C][C]9511.75039462843[/C][C]932.380587301038[/C][/ROW]
[ROW][C]0.54[/C][C]9699.50166469397[/C][C]969.099530403415[/C][/ROW]
[ROW][C]0.55[/C][C]9895.17709386915[/C][C]1007.74941561546[/C][/ROW]
[ROW][C]0.56[/C][C]10099.2561883580[/C][C]1048.64036471365[/C][/ROW]
[ROW][C]0.57[/C][C]10312.2872634754[/C][C]1091.79446346863[/C][/ROW]
[ROW][C]0.58[/C][C]10534.8882836592[/C][C]1137.20230224875[/C][/ROW]
[ROW][C]0.59[/C][C]10767.7724439919[/C][C]1184.98589256332[/C][/ROW]
[ROW][C]0.6[/C][C]11011.8051910167[/C][C]1235.72050415847[/C][/ROW]
[ROW][C]0.61[/C][C]11268.0860085405[/C][C]1290.61843453091[/C][/ROW]
[ROW][C]0.62[/C][C]11538.0338207575[/C][C]1351.52462662469[/C][/ROW]
[ROW][C]0.63[/C][C]11823.4443733930[/C][C]1420.66837186995[/C][/ROW]
[ROW][C]0.64[/C][C]12126.4860815194[/C][C]1500.11159418272[/C][/ROW]
[ROW][C]0.65[/C][C]12449.6101550802[/C][C]1591.13464164013[/C][/ROW]
[ROW][C]0.66[/C][C]12795.3706762471[/C][C]1693.68593905576[/C][/ROW]
[ROW][C]0.67[/C][C]13166.1765189115[/C][C]1805.98045080402[/C][/ROW]
[ROW][C]0.68[/C][C]13564.0226082557[/C][C]1924.58104581199[/C][/ROW]
[ROW][C]0.69[/C][C]13990.2650332635[/C][C]2045.00529240233[/C][/ROW]
[ROW][C]0.7[/C][C]14445.5062919664[/C][C]2162.35159987851[/C][/ROW]
[ROW][C]0.71[/C][C]14929.6404193120[/C][C]2272.51810737348[/C][/ROW]
[ROW][C]0.72[/C][C]15442.0748798294[/C][C]2373.03659254157[/C][/ROW]
[ROW][C]0.73[/C][C]15982.1037483574[/C][C]2463.74485050637[/C][/ROW]
[ROW][C]0.74[/C][C]16549.3647881690[/C][C]2547.04990818046[/C][/ROW]
[ROW][C]0.75[/C][C]17144.2816637949[/C][C]2627.48002940803[/C][/ROW]
[ROW][C]0.76[/C][C]17768.3790494505[/C][C]2710.78765988872[/C][/ROW]
[ROW][C]0.77[/C][C]18424.3658412119[/C][C]2802.55511284993[/C][/ROW]
[ROW][C]0.78[/C][C]19115.9092386437[/C][C]2906.61216059272[/C][/ROW]
[ROW][C]0.79[/C][C]19847.0676755506[/C][C]3023.45975815793[/C][/ROW]
[ROW][C]0.8[/C][C]20621.4118322769[/C][C]3149.13833983674[/C][/ROW]
[ROW][C]0.81[/C][C]21440.9404054585[/C][C]3274.72509939512[/C][/ROW]
[ROW][C]0.82[/C][C]22304.9911420712[/C][C]3386.88406112266[/C][/ROW]
[ROW][C]0.83[/C][C]23209.454026309[/C][C]3469.59141568003[/C][/ROW]
[ROW][C]0.84[/C][C]24146.6995696854[/C][C]3507.37665778434[/C][/ROW]
[ROW][C]0.85[/C][C]25106.7144995103[/C][C]3489.65548669898[/C][/ROW]
[ROW][C]0.86[/C][C]26079.9466481293[/C][C]3416.57705178624[/C][/ROW]
[ROW][C]0.87[/C][C]27062.2408198420[/C][C]3305.24349457829[/C][/ROW]
[ROW][C]0.88[/C][C]28061.9356630403[/C][C]3196.31201873608[/C][/ROW]
[ROW][C]0.89[/C][C]29108.6880958658[/C][C]3159.03396630130[/C][/ROW]
[ROW][C]0.9[/C][C]30263.161016152[/C][C]3289.6389164203[/C][/ROW]
[ROW][C]0.91[/C][C]31627.3087123588[/C][C]3692.9590219725[/C][/ROW]
[ROW][C]0.92[/C][C]33358.6132703444[/C][C]4453.87783468508[/C][/ROW]
[ROW][C]0.93[/C][C]35699.8215067786[/C][C]5644.30169854794[/C][/ROW]
[ROW][C]0.94[/C][C]39043.0129376747[/C][C]7420.28081100639[/C][/ROW]
[ROW][C]0.95[/C][C]44029.611183054[/C][C]10183.6219132135[/C][/ROW]
[ROW][C]0.96[/C][C]51606.1394095321[/C][C]14443.8248863934[/C][/ROW]
[ROW][C]0.97[/C][C]62791.06207617[/C][C]19806.8207804757[/C][/ROW]
[ROW][C]0.98[/C][C]77733.960703295[/C][C]23941.1413486124[/C][/ROW]
[ROW][C]0.99[/C][C]93842.7994769197[/C][C]24558.9760212455[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75038&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75038&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
0.011915.84852847702570.348410695193
0.022259.02878225798455.251613063554
0.032579.88898474813469.178557426966
0.042865.19158343957518.289414747925
0.053127.22784437224535.848848004819
0.063369.9167866484526.959119182734
0.073593.23343035773517.524497672514
0.083799.26371853988518.675713971596
0.093991.3327979025522.171772080076
0.14171.25842221781515.261498957428
0.114338.59336494998492.595266339761
0.124491.91536355631458.101493685663
0.134630.58085679912421.208591169972
0.144755.68791929408391.597964618551
0.154869.94983394954375.167014538812
0.164976.86683833844372.379049047216
0.175079.76853137034379.535824313081
0.185181.13937033053391.433235794783
0.195282.37494565546403.592301238892
0.25383.90885697325413.226878532801
0.215485.55226176672419.391138649595
0.225586.88294413201422.725061986557
0.235687.56637141803424.826859355683
0.245787.5508521278427.670483473988
0.255887.13007330644433.028810316409
0.265986.89938349884442.114089617563
0.276087.64625361156455.413580109977
0.286190.21449980806472.715263547031
0.296295.37254492219493.257092881207
0.36403.70466174481515.865381217326
0.316515.53520634538539.067101295069
0.326630.89071408282561.257091682888
0.336749.50216327386580.904078519161
0.346870.84735701525596.790696232149
0.356994.22950911094608.196070283149
0.367118.88271079526615.069989927251
0.377244.08956462255618.036529904346
0.387369.29305799286618.32906160993
0.397494.18523350528617.596250636823
0.47618.75952449582617.620157955978
0.417743.32052856279620.141627286784
0.427868.45256657176626.537799708378
0.437994.95485695148637.732957447828
0.448123.75549371105654.128644577188
0.458255.81842874584675.537461435981
0.468392.05759098936701.332868200285
0.478533.27046187852730.555283547427
0.488680.10004628726762.156477514536
0.498833.02934657828795.09755680121
0.58992.40653837312828.71829624569
0.519158.49298356316862.685316587284
0.529331.52148063558897.091067077301
0.539511.75039462843932.380587301038
0.549699.50166469397969.099530403415
0.559895.177093869151007.74941561546
0.5610099.25618835801048.64036471365
0.5710312.28726347541091.79446346863
0.5810534.88828365921137.20230224875
0.5910767.77244399191184.98589256332
0.611011.80519101671235.72050415847
0.6111268.08600854051290.61843453091
0.6211538.03382075751351.52462662469
0.6311823.44437339301420.66837186995
0.6412126.48608151941500.11159418272
0.6512449.61015508021591.13464164013
0.6612795.37067624711693.68593905576
0.6713166.17651891151805.98045080402
0.6813564.02260825571924.58104581199
0.6913990.26503326352045.00529240233
0.714445.50629196642162.35159987851
0.7114929.64041931202272.51810737348
0.7215442.07487982942373.03659254157
0.7315982.10374835742463.74485050637
0.7416549.36478816902547.04990818046
0.7517144.28166379492627.48002940803
0.7617768.37904945052710.78765988872
0.7718424.36584121192802.55511284993
0.7819115.90923864372906.61216059272
0.7919847.06767555063023.45975815793
0.820621.41183227693149.13833983674
0.8121440.94040545853274.72509939512
0.8222304.99114207123386.88406112266
0.8323209.4540263093469.59141568003
0.8424146.69956968543507.37665778434
0.8525106.71449951033489.65548669898
0.8626079.94664812933416.57705178624
0.8727062.24081984203305.24349457829
0.8828061.93566304033196.31201873608
0.8929108.68809586583159.03396630130
0.930263.1610161523289.6389164203
0.9131627.30871235883692.9590219725
0.9233358.61327034444453.87783468508
0.9335699.82150677865644.30169854794
0.9439043.01293767477420.28081100639
0.9544029.61118305410183.6219132135
0.9651606.139409532114443.8248863934
0.9762791.0620761719806.8207804757
0.9877733.96070329523941.1413486124
0.9993842.799476919724558.9760212455


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')