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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 computationWed, 13 Oct 2010 17:25:24 +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/Oct/13/t1286990654vhsa50i9njj3po1.htm/, Retrieved Mon, 06 May 2024 19:42:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=83189, Retrieved Mon, 06 May 2024 19:42:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact101

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] [Percentielen Waar...] [2010-10-13 17:25:24] [e2eb61add35e149c3ec50f04fb8f2afe] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2981,85
3080,58
3106,22
3119,31
3061,26
3097,31
3161,69
3257,16
3277,01
3295,32
3363,99
3494,17
3667,03
3813,06
3917,96
3895,51
3801,06
3570,12
3701,61
3862,27
3970,1
4138,52
4199,75
4290,89
4443,91
4502,64
4356,98
4591,27
4696,96
4621,4
4562,84
4202,52
4296,49
4435,23
4105,18
4116,68
3844,49
3720,98
3674,4
3857,62
3801,06
3504,37
3032,6
3047,03
2962,34
2197,82
2014,45
1862,83
1905,41
1810,99
1670,07
1864,44
2052,02
2029,6
2070,83
2293,41
2443,27
2513,17
2466,92
2502,66

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=83189&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=83189&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83189&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
0.011701.55094417909119.743238096893
0.021746.3632332654495.0003435480998
0.031791.1522073927274.973333840038
0.041829.7217957024765.4956203052899
0.051862.1300700684566.4566788918932
0.061890.9214959685273.7439176400722
0.071918.5583975683483.2743122623594
0.081946.5827564271292.9706842980536
0.091975.7455399648102.61672731514
0.12006.39832918283113.069190343399
0.112038.79882596717125.327930362656
0.122073.24105758623139.834474837919
0.132110.04655506106156.2691132736
0.142149.49079830975173.795088055664
0.152191.7299127383191.436402363069
0.162236.76329753401208.379576087761
0.172284.43753574155224.105083201101
0.182334.47682785618238.358659516616
0.192386.51881602821251.00259680016
0.22440.13951306026261.856462789905
0.212494.86153719922270.555872138637
0.222550.15021801364276.54481289178
0.232605.40838778461279.173499575973
0.242659.98134703026277.843485856524
0.252713.17942154853272.198818224637
0.262764.3189628799262.236074265074
0.272812.77619131898248.381514339162
0.282858.04399989087231.452459401409
0.292899.78072445841212.559678057058
0.32937.84180084851192.991869988659
0.312972.28919150782174.046330467912
0.323003.37811728113156.925431186654
0.333031.52471663202142.606303688574
0.343057.26093682269131.770461256613
0.353081.18394067894124.758831749544
0.363103.90676705821121.530573862065
0.373126.01539398067121.724183498134
0.383148.03530090187124.764739478737
0.393170.40862445604129.979863329161
0.43193.48140125505136.694076401795
0.413217.49935586434144.289990053813
0.423242.61022566645152.214145581632
0.433268.8706130822159.994209887064
0.443296.25566343172167.213108676409
0.453324.67032040716173.522485782766
0.463353.96137094404178.634438518619
0.473383.92985788518182.328219457408
0.483414.34365988266184.441641543428
0.493444.95010688388184.898215702824
0.53475.48844791972183.6805762743
0.513505.70187283427180.846489256836
0.523535.34867722919176.533134593754
0.533564.21210819648170.917797967109
0.543592.10847241472164.237214929446
0.553618.89323127075156.751229419928
0.563644.46502104392148.738264365809
0.573668.76776674679140.481915577367
0.583691.79124288182132.245073595456
0.593713.57051733419124.291272331524
0.63734.18466319396116.859181287304
0.613753.75493868369110.188997473218
0.623772.44235579086104.498043412084
0.633790.44425374461100.002734098483
0.643807.989253333496.8990667455032
0.653825.3298822810195.3418979641768
0.663842.7323002494895.417421772537
0.673860.4629432701897.1022570122234
0.683878.77252281215100.254612678285
0.693897.87856051369104.586613826228
0.73917.94836298803109.71241924071
0.713939.0848532244115.14617241589
0.723961.31779126917120.39235715607
0.733984.60250806231124.974279068636
0.744008.82731950776128.494424391314
0.754033.82939818905130.694452536767
0.764059.41730833563131.477863425306
0.774085.39699672742130.915165843576
0.784111.59712797338129.228185113934
0.794137.88952040233126.765588492119
0.84164.20117862131123.904163521806
0.814190.51593485803120.999957884816
0.824216.86573090257118.313320925835
0.834243.31369756464115.972884250084
0.844269.93294816636113.954208943959
0.854296.78589679535112.102679401073
0.864323.90848397969110.187583508784
0.874351.30170838631107.968620751337
0.884378.92965242707105.256113878323
0.894406.72005086259101.943960129803
0.94434.5628028673597.982076694313
0.914462.3066059039793.305250333706
0.924489.7656927889187.7586945910622
0.934516.7641486935481.1287123721522
0.944543.2502876900473.3788820334074
0.954569.4759339963365.0524537653744
0.964596.1093042109357.7592617245356
0.974623.9336149064854.3654965653944
0.984652.6861573030757.5551957183953
0.994679.210035528966.1654088271386

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1701.55094417909 & 119.743238096893 \tabularnewline
0.02 & 1746.36323326544 & 95.0003435480998 \tabularnewline
0.03 & 1791.15220739272 & 74.973333840038 \tabularnewline
0.04 & 1829.72179570247 & 65.4956203052899 \tabularnewline
0.05 & 1862.13007006845 & 66.4566788918932 \tabularnewline
0.06 & 1890.92149596852 & 73.7439176400722 \tabularnewline
0.07 & 1918.55839756834 & 83.2743122623594 \tabularnewline
0.08 & 1946.58275642712 & 92.9706842980536 \tabularnewline
0.09 & 1975.7455399648 & 102.61672731514 \tabularnewline
0.1 & 2006.39832918283 & 113.069190343399 \tabularnewline
0.11 & 2038.79882596717 & 125.327930362656 \tabularnewline
0.12 & 2073.24105758623 & 139.834474837919 \tabularnewline
0.13 & 2110.04655506106 & 156.2691132736 \tabularnewline
0.14 & 2149.49079830975 & 173.795088055664 \tabularnewline
0.15 & 2191.7299127383 & 191.436402363069 \tabularnewline
0.16 & 2236.76329753401 & 208.379576087761 \tabularnewline
0.17 & 2284.43753574155 & 224.105083201101 \tabularnewline
0.18 & 2334.47682785618 & 238.358659516616 \tabularnewline
0.19 & 2386.51881602821 & 251.00259680016 \tabularnewline
0.2 & 2440.13951306026 & 261.856462789905 \tabularnewline
0.21 & 2494.86153719922 & 270.555872138637 \tabularnewline
0.22 & 2550.15021801364 & 276.54481289178 \tabularnewline
0.23 & 2605.40838778461 & 279.173499575973 \tabularnewline
0.24 & 2659.98134703026 & 277.843485856524 \tabularnewline
0.25 & 2713.17942154853 & 272.198818224637 \tabularnewline
0.26 & 2764.3189628799 & 262.236074265074 \tabularnewline
0.27 & 2812.77619131898 & 248.381514339162 \tabularnewline
0.28 & 2858.04399989087 & 231.452459401409 \tabularnewline
0.29 & 2899.78072445841 & 212.559678057058 \tabularnewline
0.3 & 2937.84180084851 & 192.991869988659 \tabularnewline
0.31 & 2972.28919150782 & 174.046330467912 \tabularnewline
0.32 & 3003.37811728113 & 156.925431186654 \tabularnewline
0.33 & 3031.52471663202 & 142.606303688574 \tabularnewline
0.34 & 3057.26093682269 & 131.770461256613 \tabularnewline
0.35 & 3081.18394067894 & 124.758831749544 \tabularnewline
0.36 & 3103.90676705821 & 121.530573862065 \tabularnewline
0.37 & 3126.01539398067 & 121.724183498134 \tabularnewline
0.38 & 3148.03530090187 & 124.764739478737 \tabularnewline
0.39 & 3170.40862445604 & 129.979863329161 \tabularnewline
0.4 & 3193.48140125505 & 136.694076401795 \tabularnewline
0.41 & 3217.49935586434 & 144.289990053813 \tabularnewline
0.42 & 3242.61022566645 & 152.214145581632 \tabularnewline
0.43 & 3268.8706130822 & 159.994209887064 \tabularnewline
0.44 & 3296.25566343172 & 167.213108676409 \tabularnewline
0.45 & 3324.67032040716 & 173.522485782766 \tabularnewline
0.46 & 3353.96137094404 & 178.634438518619 \tabularnewline
0.47 & 3383.92985788518 & 182.328219457408 \tabularnewline
0.48 & 3414.34365988266 & 184.441641543428 \tabularnewline
0.49 & 3444.95010688388 & 184.898215702824 \tabularnewline
0.5 & 3475.48844791972 & 183.6805762743 \tabularnewline
0.51 & 3505.70187283427 & 180.846489256836 \tabularnewline
0.52 & 3535.34867722919 & 176.533134593754 \tabularnewline
0.53 & 3564.21210819648 & 170.917797967109 \tabularnewline
0.54 & 3592.10847241472 & 164.237214929446 \tabularnewline
0.55 & 3618.89323127075 & 156.751229419928 \tabularnewline
0.56 & 3644.46502104392 & 148.738264365809 \tabularnewline
0.57 & 3668.76776674679 & 140.481915577367 \tabularnewline
0.58 & 3691.79124288182 & 132.245073595456 \tabularnewline
0.59 & 3713.57051733419 & 124.291272331524 \tabularnewline
0.6 & 3734.18466319396 & 116.859181287304 \tabularnewline
0.61 & 3753.75493868369 & 110.188997473218 \tabularnewline
0.62 & 3772.44235579086 & 104.498043412084 \tabularnewline
0.63 & 3790.44425374461 & 100.002734098483 \tabularnewline
0.64 & 3807.9892533334 & 96.8990667455032 \tabularnewline
0.65 & 3825.32988228101 & 95.3418979641768 \tabularnewline
0.66 & 3842.73230024948 & 95.417421772537 \tabularnewline
0.67 & 3860.46294327018 & 97.1022570122234 \tabularnewline
0.68 & 3878.77252281215 & 100.254612678285 \tabularnewline
0.69 & 3897.87856051369 & 104.586613826228 \tabularnewline
0.7 & 3917.94836298803 & 109.71241924071 \tabularnewline
0.71 & 3939.0848532244 & 115.14617241589 \tabularnewline
0.72 & 3961.31779126917 & 120.39235715607 \tabularnewline
0.73 & 3984.60250806231 & 124.974279068636 \tabularnewline
0.74 & 4008.82731950776 & 128.494424391314 \tabularnewline
0.75 & 4033.82939818905 & 130.694452536767 \tabularnewline
0.76 & 4059.41730833563 & 131.477863425306 \tabularnewline
0.77 & 4085.39699672742 & 130.915165843576 \tabularnewline
0.78 & 4111.59712797338 & 129.228185113934 \tabularnewline
0.79 & 4137.88952040233 & 126.765588492119 \tabularnewline
0.8 & 4164.20117862131 & 123.904163521806 \tabularnewline
0.81 & 4190.51593485803 & 120.999957884816 \tabularnewline
0.82 & 4216.86573090257 & 118.313320925835 \tabularnewline
0.83 & 4243.31369756464 & 115.972884250084 \tabularnewline
0.84 & 4269.93294816636 & 113.954208943959 \tabularnewline
0.85 & 4296.78589679535 & 112.102679401073 \tabularnewline
0.86 & 4323.90848397969 & 110.187583508784 \tabularnewline
0.87 & 4351.30170838631 & 107.968620751337 \tabularnewline
0.88 & 4378.92965242707 & 105.256113878323 \tabularnewline
0.89 & 4406.72005086259 & 101.943960129803 \tabularnewline
0.9 & 4434.56280286735 & 97.982076694313 \tabularnewline
0.91 & 4462.30660590397 & 93.305250333706 \tabularnewline
0.92 & 4489.76569278891 & 87.7586945910622 \tabularnewline
0.93 & 4516.76414869354 & 81.1287123721522 \tabularnewline
0.94 & 4543.25028769004 & 73.3788820334074 \tabularnewline
0.95 & 4569.47593399633 & 65.0524537653744 \tabularnewline
0.96 & 4596.10930421093 & 57.7592617245356 \tabularnewline
0.97 & 4623.93361490648 & 54.3654965653944 \tabularnewline
0.98 & 4652.68615730307 & 57.5551957183953 \tabularnewline
0.99 & 4679.2100355289 & 66.1654088271386 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83189&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]1701.55094417909[/C][C]119.743238096893[/C][/ROW]
[ROW][C]0.02[/C][C]1746.36323326544[/C][C]95.0003435480998[/C][/ROW]
[ROW][C]0.03[/C][C]1791.15220739272[/C][C]74.973333840038[/C][/ROW]
[ROW][C]0.04[/C][C]1829.72179570247[/C][C]65.4956203052899[/C][/ROW]
[ROW][C]0.05[/C][C]1862.13007006845[/C][C]66.4566788918932[/C][/ROW]
[ROW][C]0.06[/C][C]1890.92149596852[/C][C]73.7439176400722[/C][/ROW]
[ROW][C]0.07[/C][C]1918.55839756834[/C][C]83.2743122623594[/C][/ROW]
[ROW][C]0.08[/C][C]1946.58275642712[/C][C]92.9706842980536[/C][/ROW]
[ROW][C]0.09[/C][C]1975.7455399648[/C][C]102.61672731514[/C][/ROW]
[ROW][C]0.1[/C][C]2006.39832918283[/C][C]113.069190343399[/C][/ROW]
[ROW][C]0.11[/C][C]2038.79882596717[/C][C]125.327930362656[/C][/ROW]
[ROW][C]0.12[/C][C]2073.24105758623[/C][C]139.834474837919[/C][/ROW]
[ROW][C]0.13[/C][C]2110.04655506106[/C][C]156.2691132736[/C][/ROW]
[ROW][C]0.14[/C][C]2149.49079830975[/C][C]173.795088055664[/C][/ROW]
[ROW][C]0.15[/C][C]2191.7299127383[/C][C]191.436402363069[/C][/ROW]
[ROW][C]0.16[/C][C]2236.76329753401[/C][C]208.379576087761[/C][/ROW]
[ROW][C]0.17[/C][C]2284.43753574155[/C][C]224.105083201101[/C][/ROW]
[ROW][C]0.18[/C][C]2334.47682785618[/C][C]238.358659516616[/C][/ROW]
[ROW][C]0.19[/C][C]2386.51881602821[/C][C]251.00259680016[/C][/ROW]
[ROW][C]0.2[/C][C]2440.13951306026[/C][C]261.856462789905[/C][/ROW]
[ROW][C]0.21[/C][C]2494.86153719922[/C][C]270.555872138637[/C][/ROW]
[ROW][C]0.22[/C][C]2550.15021801364[/C][C]276.54481289178[/C][/ROW]
[ROW][C]0.23[/C][C]2605.40838778461[/C][C]279.173499575973[/C][/ROW]
[ROW][C]0.24[/C][C]2659.98134703026[/C][C]277.843485856524[/C][/ROW]
[ROW][C]0.25[/C][C]2713.17942154853[/C][C]272.198818224637[/C][/ROW]
[ROW][C]0.26[/C][C]2764.3189628799[/C][C]262.236074265074[/C][/ROW]
[ROW][C]0.27[/C][C]2812.77619131898[/C][C]248.381514339162[/C][/ROW]
[ROW][C]0.28[/C][C]2858.04399989087[/C][C]231.452459401409[/C][/ROW]
[ROW][C]0.29[/C][C]2899.78072445841[/C][C]212.559678057058[/C][/ROW]
[ROW][C]0.3[/C][C]2937.84180084851[/C][C]192.991869988659[/C][/ROW]
[ROW][C]0.31[/C][C]2972.28919150782[/C][C]174.046330467912[/C][/ROW]
[ROW][C]0.32[/C][C]3003.37811728113[/C][C]156.925431186654[/C][/ROW]
[ROW][C]0.33[/C][C]3031.52471663202[/C][C]142.606303688574[/C][/ROW]
[ROW][C]0.34[/C][C]3057.26093682269[/C][C]131.770461256613[/C][/ROW]
[ROW][C]0.35[/C][C]3081.18394067894[/C][C]124.758831749544[/C][/ROW]
[ROW][C]0.36[/C][C]3103.90676705821[/C][C]121.530573862065[/C][/ROW]
[ROW][C]0.37[/C][C]3126.01539398067[/C][C]121.724183498134[/C][/ROW]
[ROW][C]0.38[/C][C]3148.03530090187[/C][C]124.764739478737[/C][/ROW]
[ROW][C]0.39[/C][C]3170.40862445604[/C][C]129.979863329161[/C][/ROW]
[ROW][C]0.4[/C][C]3193.48140125505[/C][C]136.694076401795[/C][/ROW]
[ROW][C]0.41[/C][C]3217.49935586434[/C][C]144.289990053813[/C][/ROW]
[ROW][C]0.42[/C][C]3242.61022566645[/C][C]152.214145581632[/C][/ROW]
[ROW][C]0.43[/C][C]3268.8706130822[/C][C]159.994209887064[/C][/ROW]
[ROW][C]0.44[/C][C]3296.25566343172[/C][C]167.213108676409[/C][/ROW]
[ROW][C]0.45[/C][C]3324.67032040716[/C][C]173.522485782766[/C][/ROW]
[ROW][C]0.46[/C][C]3353.96137094404[/C][C]178.634438518619[/C][/ROW]
[ROW][C]0.47[/C][C]3383.92985788518[/C][C]182.328219457408[/C][/ROW]
[ROW][C]0.48[/C][C]3414.34365988266[/C][C]184.441641543428[/C][/ROW]
[ROW][C]0.49[/C][C]3444.95010688388[/C][C]184.898215702824[/C][/ROW]
[ROW][C]0.5[/C][C]3475.48844791972[/C][C]183.6805762743[/C][/ROW]
[ROW][C]0.51[/C][C]3505.70187283427[/C][C]180.846489256836[/C][/ROW]
[ROW][C]0.52[/C][C]3535.34867722919[/C][C]176.533134593754[/C][/ROW]
[ROW][C]0.53[/C][C]3564.21210819648[/C][C]170.917797967109[/C][/ROW]
[ROW][C]0.54[/C][C]3592.10847241472[/C][C]164.237214929446[/C][/ROW]
[ROW][C]0.55[/C][C]3618.89323127075[/C][C]156.751229419928[/C][/ROW]
[ROW][C]0.56[/C][C]3644.46502104392[/C][C]148.738264365809[/C][/ROW]
[ROW][C]0.57[/C][C]3668.76776674679[/C][C]140.481915577367[/C][/ROW]
[ROW][C]0.58[/C][C]3691.79124288182[/C][C]132.245073595456[/C][/ROW]
[ROW][C]0.59[/C][C]3713.57051733419[/C][C]124.291272331524[/C][/ROW]
[ROW][C]0.6[/C][C]3734.18466319396[/C][C]116.859181287304[/C][/ROW]
[ROW][C]0.61[/C][C]3753.75493868369[/C][C]110.188997473218[/C][/ROW]
[ROW][C]0.62[/C][C]3772.44235579086[/C][C]104.498043412084[/C][/ROW]
[ROW][C]0.63[/C][C]3790.44425374461[/C][C]100.002734098483[/C][/ROW]
[ROW][C]0.64[/C][C]3807.9892533334[/C][C]96.8990667455032[/C][/ROW]
[ROW][C]0.65[/C][C]3825.32988228101[/C][C]95.3418979641768[/C][/ROW]
[ROW][C]0.66[/C][C]3842.73230024948[/C][C]95.417421772537[/C][/ROW]
[ROW][C]0.67[/C][C]3860.46294327018[/C][C]97.1022570122234[/C][/ROW]
[ROW][C]0.68[/C][C]3878.77252281215[/C][C]100.254612678285[/C][/ROW]
[ROW][C]0.69[/C][C]3897.87856051369[/C][C]104.586613826228[/C][/ROW]
[ROW][C]0.7[/C][C]3917.94836298803[/C][C]109.71241924071[/C][/ROW]
[ROW][C]0.71[/C][C]3939.0848532244[/C][C]115.14617241589[/C][/ROW]
[ROW][C]0.72[/C][C]3961.31779126917[/C][C]120.39235715607[/C][/ROW]
[ROW][C]0.73[/C][C]3984.60250806231[/C][C]124.974279068636[/C][/ROW]
[ROW][C]0.74[/C][C]4008.82731950776[/C][C]128.494424391314[/C][/ROW]
[ROW][C]0.75[/C][C]4033.82939818905[/C][C]130.694452536767[/C][/ROW]
[ROW][C]0.76[/C][C]4059.41730833563[/C][C]131.477863425306[/C][/ROW]
[ROW][C]0.77[/C][C]4085.39699672742[/C][C]130.915165843576[/C][/ROW]
[ROW][C]0.78[/C][C]4111.59712797338[/C][C]129.228185113934[/C][/ROW]
[ROW][C]0.79[/C][C]4137.88952040233[/C][C]126.765588492119[/C][/ROW]
[ROW][C]0.8[/C][C]4164.20117862131[/C][C]123.904163521806[/C][/ROW]
[ROW][C]0.81[/C][C]4190.51593485803[/C][C]120.999957884816[/C][/ROW]
[ROW][C]0.82[/C][C]4216.86573090257[/C][C]118.313320925835[/C][/ROW]
[ROW][C]0.83[/C][C]4243.31369756464[/C][C]115.972884250084[/C][/ROW]
[ROW][C]0.84[/C][C]4269.93294816636[/C][C]113.954208943959[/C][/ROW]
[ROW][C]0.85[/C][C]4296.78589679535[/C][C]112.102679401073[/C][/ROW]
[ROW][C]0.86[/C][C]4323.90848397969[/C][C]110.187583508784[/C][/ROW]
[ROW][C]0.87[/C][C]4351.30170838631[/C][C]107.968620751337[/C][/ROW]
[ROW][C]0.88[/C][C]4378.92965242707[/C][C]105.256113878323[/C][/ROW]
[ROW][C]0.89[/C][C]4406.72005086259[/C][C]101.943960129803[/C][/ROW]
[ROW][C]0.9[/C][C]4434.56280286735[/C][C]97.982076694313[/C][/ROW]
[ROW][C]0.91[/C][C]4462.30660590397[/C][C]93.305250333706[/C][/ROW]
[ROW][C]0.92[/C][C]4489.76569278891[/C][C]87.7586945910622[/C][/ROW]
[ROW][C]0.93[/C][C]4516.76414869354[/C][C]81.1287123721522[/C][/ROW]
[ROW][C]0.94[/C][C]4543.25028769004[/C][C]73.3788820334074[/C][/ROW]
[ROW][C]0.95[/C][C]4569.47593399633[/C][C]65.0524537653744[/C][/ROW]
[ROW][C]0.96[/C][C]4596.10930421093[/C][C]57.7592617245356[/C][/ROW]
[ROW][C]0.97[/C][C]4623.93361490648[/C][C]54.3654965653944[/C][/ROW]
[ROW][C]0.98[/C][C]4652.68615730307[/C][C]57.5551957183953[/C][/ROW]
[ROW][C]0.99[/C][C]4679.2100355289[/C][C]66.1654088271386[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83189&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83189&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
0.011701.55094417909119.743238096893
0.021746.3632332654495.0003435480998
0.031791.1522073927274.973333840038
0.041829.7217957024765.4956203052899
0.051862.1300700684566.4566788918932
0.061890.9214959685273.7439176400722
0.071918.5583975683483.2743122623594
0.081946.5827564271292.9706842980536
0.091975.7455399648102.61672731514
0.12006.39832918283113.069190343399
0.112038.79882596717125.327930362656
0.122073.24105758623139.834474837919
0.132110.04655506106156.2691132736
0.142149.49079830975173.795088055664
0.152191.7299127383191.436402363069
0.162236.76329753401208.379576087761
0.172284.43753574155224.105083201101
0.182334.47682785618238.358659516616
0.192386.51881602821251.00259680016
0.22440.13951306026261.856462789905
0.212494.86153719922270.555872138637
0.222550.15021801364276.54481289178
0.232605.40838778461279.173499575973
0.242659.98134703026277.843485856524
0.252713.17942154853272.198818224637
0.262764.3189628799262.236074265074
0.272812.77619131898248.381514339162
0.282858.04399989087231.452459401409
0.292899.78072445841212.559678057058
0.32937.84180084851192.991869988659
0.312972.28919150782174.046330467912
0.323003.37811728113156.925431186654
0.333031.52471663202142.606303688574
0.343057.26093682269131.770461256613
0.353081.18394067894124.758831749544
0.363103.90676705821121.530573862065
0.373126.01539398067121.724183498134
0.383148.03530090187124.764739478737
0.393170.40862445604129.979863329161
0.43193.48140125505136.694076401795
0.413217.49935586434144.289990053813
0.423242.61022566645152.214145581632
0.433268.8706130822159.994209887064
0.443296.25566343172167.213108676409
0.453324.67032040716173.522485782766
0.463353.96137094404178.634438518619
0.473383.92985788518182.328219457408
0.483414.34365988266184.441641543428
0.493444.95010688388184.898215702824
0.53475.48844791972183.6805762743
0.513505.70187283427180.846489256836
0.523535.34867722919176.533134593754
0.533564.21210819648170.917797967109
0.543592.10847241472164.237214929446
0.553618.89323127075156.751229419928
0.563644.46502104392148.738264365809
0.573668.76776674679140.481915577367
0.583691.79124288182132.245073595456
0.593713.57051733419124.291272331524
0.63734.18466319396116.859181287304
0.613753.75493868369110.188997473218
0.623772.44235579086104.498043412084
0.633790.44425374461100.002734098483
0.643807.989253333496.8990667455032
0.653825.3298822810195.3418979641768
0.663842.7323002494895.417421772537
0.673860.4629432701897.1022570122234
0.683878.77252281215100.254612678285
0.693897.87856051369104.586613826228
0.73917.94836298803109.71241924071
0.713939.0848532244115.14617241589
0.723961.31779126917120.39235715607
0.733984.60250806231124.974279068636
0.744008.82731950776128.494424391314
0.754033.82939818905130.694452536767
0.764059.41730833563131.477863425306
0.774085.39699672742130.915165843576
0.784111.59712797338129.228185113934
0.794137.88952040233126.765588492119
0.84164.20117862131123.904163521806
0.814190.51593485803120.999957884816
0.824216.86573090257118.313320925835
0.834243.31369756464115.972884250084
0.844269.93294816636113.954208943959
0.854296.78589679535112.102679401073
0.864323.90848397969110.187583508784
0.874351.30170838631107.968620751337
0.884378.92965242707105.256113878323
0.894406.72005086259101.943960129803
0.94434.5628028673597.982076694313
0.914462.3066059039793.305250333706
0.924489.7656927889187.7586945910622
0.934516.7641486935481.1287123721522
0.944543.2502876900473.3788820334074
0.954569.4759339963365.0524537653744
0.964596.1093042109357.7592617245356
0.974623.9336149064854.3654965653944
0.984652.6861573030757.5551957183953
0.994679.210035528966.1654088271386


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')