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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, 12 Feb 2015 12:29:32 +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/12/t1423744239y8p45dcejk33c12.htm/, Retrieved Tue, 21 May 2024 22:41:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=277137, Retrieved Tue, 21 May 2024 22:41:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact52

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] [] [2015-02-12 12:29:32] [8a8c4bd73c288c653fbb494901d06130] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2
2.2
1.9
2.3
2.2
2.3
2.1
2.4
2.3
1.9
1.6
1.8
1.8
2
2.3
2.2
2.2
2
2
1.9
1.5
1.6
1.5
2
1.5
1.5
1.9
1.1
1.5
2.1
2.3
2.6
2.9
3.2
3.2
3.1
3
3.3
2.7
3.6
3.1
2.7
2.6
2.2
2.7
2.1
1.8
1.7
1.7
1.2
1.2
1.2
1.5
1.3
1.1
1.2
1.3
1.6
1.9
1.6
2.1
2.2
2.3
2.1
1.7
1.7
2.2
2
1.5
1.5
1.7
2.2
2.6
2.6
2.3
2.3
2.7
2.7
2.5
2.5
2.7
2.6
2.6
2.4
1.4
1.8
2.1
1.7
1.6
1.7
1.8
2
1.9
2
2.1
2.3

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277137&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277137&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277137&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.112818989342510.0319746478352917
0.021.140190417234230.049990963176204
0.031.172016159222190.0480179658409501
0.041.201939821554750.0504170157109692
0.051.231483600677020.0660613524800721
0.061.264284002041130.0856737095847534
0.071.30146058480040.10034661167309
0.081.34113941941630.105540405642775
0.091.380052049219540.100767320144166
0.11.415201325777090.0885819119358522
0.111.444835976814560.0731320471243332
0.121.468690699203130.0586925721566553
0.131.487696422381070.0485795601309428
0.141.503429769565420.0443766476418411
0.151.517551134487550.0454570617358845
0.161.531400000902490.0497040881314145
0.171.545809119470230.0549917367570447
0.181.56110972081780.0598607570658098
0.191.577253644800420.0635309231275941
0.21.593974602379860.0657499532248834
0.211.61093332461090.0666245485604853
0.221.627820952075090.066460347006422
0.231.644418112214010.0656656264168846
0.241.660618488960070.0646947986138058
0.251.6764272078830.0639970241762897
0.261.691941493564880.063948811952746
0.271.707318763910590.0647555452802576
0.281.722737553416490.0664053345027342
0.291.738358303905740.0686722290498772
0.31.754291796706680.0712070002419033
0.311.77058131247310.0736393096352423
0.321.78720074746530.0756608682211402
0.331.804066481594090.0770690719050755
0.341.821057572844290.0777782877083189
0.351.838037855550940.0777964519063456
0.361.854874673472070.077200163998354
0.371.871451430164580.0760981781643767
0.381.887673797249330.0746051415909118
0.391.903471391803130.0728191754321733
0.41.918797529938560.0708328675285291
0.411.933629238567130.0687355311242078
0.421.947968404862570.0666334197467734
0.431.961843383252010.0646637769389929
0.441.975309265635330.0629776022224555
0.451.988444874320940.0617199457309762
0.462.00134546170470.0609788529049662
0.472.014111699260830.0607610038398094
0.482.026837074994750.0609808575820923
0.492.039596569007870.0614826360149829
0.52.052439096492790.062096388677312
0.512.065384910497070.0626681665475666
0.522.078427597268260.0630841857281301
0.532.091539208393540.0632830138339694
0.542.104676866859990.0632228155919989
0.552.117789733044150.0628874999090068
0.562.130825963066390.0622759200202483
0.572.143739610191310.0614098654791108
0.582.156497034026450.0603532636764621
0.592.169081582828880.0592095613868995
0.62.181494827562780.058100185548064
0.612.193753182593540.0571280616813318
0.622.205880575853850.0563348025988071
0.632.217900370636980.05568301330527
0.642.229831767931470.0550803577363669
0.652.241696070838850.0544645692469447
0.662.253535669601150.0538880293895783
0.672.265443698093650.0536044401563528
0.682.277596492377880.0540915567551242
0.692.290276466028870.0559819480321751
0.72.303871963059590.059874519455205
0.712.318844300756270.0660754728053286
0.722.335660325292830.074407793422129
0.732.354699543203070.0841663865158032
0.742.376155251729020.0942334612802078
0.752.399955640332280.103258828168473
0.762.425730649118680.109915421007804
0.772.452841962767820.113165028765551
0.782.480477678301970.112507892622086
0.792.507793536164060.108120399309586
0.82.534065550201290.100834486078669
0.812.55881234743420.0919508307901522
0.822.581856061794520.082911916065609
0.832.603318934774660.0749419957700004
0.842.623589536163890.0688284632585931
0.852.643317536772610.0650489467435475
0.862.663484464676320.0643006152516758
0.872.685535509696920.0680781044313396
0.882.71146007184280.0783902813087504
0.892.743634641857440.0961300838461336
0.92.784276576478820.119360044062411
0.912.834558002492730.142992832157596
0.922.893740496795570.160043338300305
0.932.958914657245910.164379073600664
0.943.02585171617270.153968420870015
0.953.091165199894780.132800294220077
0.963.155882852937770.110831556420919
0.973.230336902020940.10508685326736
0.983.335465202529280.139459375585122
0.993.479639837285390.220080892616162

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.11281898934251 & 0.0319746478352917 \tabularnewline
0.02 & 1.14019041723423 & 0.049990963176204 \tabularnewline
0.03 & 1.17201615922219 & 0.0480179658409501 \tabularnewline
0.04 & 1.20193982155475 & 0.0504170157109692 \tabularnewline
0.05 & 1.23148360067702 & 0.0660613524800721 \tabularnewline
0.06 & 1.26428400204113 & 0.0856737095847534 \tabularnewline
0.07 & 1.3014605848004 & 0.10034661167309 \tabularnewline
0.08 & 1.3411394194163 & 0.105540405642775 \tabularnewline
0.09 & 1.38005204921954 & 0.100767320144166 \tabularnewline
0.1 & 1.41520132577709 & 0.0885819119358522 \tabularnewline
0.11 & 1.44483597681456 & 0.0731320471243332 \tabularnewline
0.12 & 1.46869069920313 & 0.0586925721566553 \tabularnewline
0.13 & 1.48769642238107 & 0.0485795601309428 \tabularnewline
0.14 & 1.50342976956542 & 0.0443766476418411 \tabularnewline
0.15 & 1.51755113448755 & 0.0454570617358845 \tabularnewline
0.16 & 1.53140000090249 & 0.0497040881314145 \tabularnewline
0.17 & 1.54580911947023 & 0.0549917367570447 \tabularnewline
0.18 & 1.5611097208178 & 0.0598607570658098 \tabularnewline
0.19 & 1.57725364480042 & 0.0635309231275941 \tabularnewline
0.2 & 1.59397460237986 & 0.0657499532248834 \tabularnewline
0.21 & 1.6109333246109 & 0.0666245485604853 \tabularnewline
0.22 & 1.62782095207509 & 0.066460347006422 \tabularnewline
0.23 & 1.64441811221401 & 0.0656656264168846 \tabularnewline
0.24 & 1.66061848896007 & 0.0646947986138058 \tabularnewline
0.25 & 1.676427207883 & 0.0639970241762897 \tabularnewline
0.26 & 1.69194149356488 & 0.063948811952746 \tabularnewline
0.27 & 1.70731876391059 & 0.0647555452802576 \tabularnewline
0.28 & 1.72273755341649 & 0.0664053345027342 \tabularnewline
0.29 & 1.73835830390574 & 0.0686722290498772 \tabularnewline
0.3 & 1.75429179670668 & 0.0712070002419033 \tabularnewline
0.31 & 1.7705813124731 & 0.0736393096352423 \tabularnewline
0.32 & 1.7872007474653 & 0.0756608682211402 \tabularnewline
0.33 & 1.80406648159409 & 0.0770690719050755 \tabularnewline
0.34 & 1.82105757284429 & 0.0777782877083189 \tabularnewline
0.35 & 1.83803785555094 & 0.0777964519063456 \tabularnewline
0.36 & 1.85487467347207 & 0.077200163998354 \tabularnewline
0.37 & 1.87145143016458 & 0.0760981781643767 \tabularnewline
0.38 & 1.88767379724933 & 0.0746051415909118 \tabularnewline
0.39 & 1.90347139180313 & 0.0728191754321733 \tabularnewline
0.4 & 1.91879752993856 & 0.0708328675285291 \tabularnewline
0.41 & 1.93362923856713 & 0.0687355311242078 \tabularnewline
0.42 & 1.94796840486257 & 0.0666334197467734 \tabularnewline
0.43 & 1.96184338325201 & 0.0646637769389929 \tabularnewline
0.44 & 1.97530926563533 & 0.0629776022224555 \tabularnewline
0.45 & 1.98844487432094 & 0.0617199457309762 \tabularnewline
0.46 & 2.0013454617047 & 0.0609788529049662 \tabularnewline
0.47 & 2.01411169926083 & 0.0607610038398094 \tabularnewline
0.48 & 2.02683707499475 & 0.0609808575820923 \tabularnewline
0.49 & 2.03959656900787 & 0.0614826360149829 \tabularnewline
0.5 & 2.05243909649279 & 0.062096388677312 \tabularnewline
0.51 & 2.06538491049707 & 0.0626681665475666 \tabularnewline
0.52 & 2.07842759726826 & 0.0630841857281301 \tabularnewline
0.53 & 2.09153920839354 & 0.0632830138339694 \tabularnewline
0.54 & 2.10467686685999 & 0.0632228155919989 \tabularnewline
0.55 & 2.11778973304415 & 0.0628874999090068 \tabularnewline
0.56 & 2.13082596306639 & 0.0622759200202483 \tabularnewline
0.57 & 2.14373961019131 & 0.0614098654791108 \tabularnewline
0.58 & 2.15649703402645 & 0.0603532636764621 \tabularnewline
0.59 & 2.16908158282888 & 0.0592095613868995 \tabularnewline
0.6 & 2.18149482756278 & 0.058100185548064 \tabularnewline
0.61 & 2.19375318259354 & 0.0571280616813318 \tabularnewline
0.62 & 2.20588057585385 & 0.0563348025988071 \tabularnewline
0.63 & 2.21790037063698 & 0.05568301330527 \tabularnewline
0.64 & 2.22983176793147 & 0.0550803577363669 \tabularnewline
0.65 & 2.24169607083885 & 0.0544645692469447 \tabularnewline
0.66 & 2.25353566960115 & 0.0538880293895783 \tabularnewline
0.67 & 2.26544369809365 & 0.0536044401563528 \tabularnewline
0.68 & 2.27759649237788 & 0.0540915567551242 \tabularnewline
0.69 & 2.29027646602887 & 0.0559819480321751 \tabularnewline
0.7 & 2.30387196305959 & 0.059874519455205 \tabularnewline
0.71 & 2.31884430075627 & 0.0660754728053286 \tabularnewline
0.72 & 2.33566032529283 & 0.074407793422129 \tabularnewline
0.73 & 2.35469954320307 & 0.0841663865158032 \tabularnewline
0.74 & 2.37615525172902 & 0.0942334612802078 \tabularnewline
0.75 & 2.39995564033228 & 0.103258828168473 \tabularnewline
0.76 & 2.42573064911868 & 0.109915421007804 \tabularnewline
0.77 & 2.45284196276782 & 0.113165028765551 \tabularnewline
0.78 & 2.48047767830197 & 0.112507892622086 \tabularnewline
0.79 & 2.50779353616406 & 0.108120399309586 \tabularnewline
0.8 & 2.53406555020129 & 0.100834486078669 \tabularnewline
0.81 & 2.5588123474342 & 0.0919508307901522 \tabularnewline
0.82 & 2.58185606179452 & 0.082911916065609 \tabularnewline
0.83 & 2.60331893477466 & 0.0749419957700004 \tabularnewline
0.84 & 2.62358953616389 & 0.0688284632585931 \tabularnewline
0.85 & 2.64331753677261 & 0.0650489467435475 \tabularnewline
0.86 & 2.66348446467632 & 0.0643006152516758 \tabularnewline
0.87 & 2.68553550969692 & 0.0680781044313396 \tabularnewline
0.88 & 2.7114600718428 & 0.0783902813087504 \tabularnewline
0.89 & 2.74363464185744 & 0.0961300838461336 \tabularnewline
0.9 & 2.78427657647882 & 0.119360044062411 \tabularnewline
0.91 & 2.83455800249273 & 0.142992832157596 \tabularnewline
0.92 & 2.89374049679557 & 0.160043338300305 \tabularnewline
0.93 & 2.95891465724591 & 0.164379073600664 \tabularnewline
0.94 & 3.0258517161727 & 0.153968420870015 \tabularnewline
0.95 & 3.09116519989478 & 0.132800294220077 \tabularnewline
0.96 & 3.15588285293777 & 0.110831556420919 \tabularnewline
0.97 & 3.23033690202094 & 0.10508685326736 \tabularnewline
0.98 & 3.33546520252928 & 0.139459375585122 \tabularnewline
0.99 & 3.47963983728539 & 0.220080892616162 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277137&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]1.11281898934251[/C][C]0.0319746478352917[/C][/ROW]
[ROW][C]0.02[/C][C]1.14019041723423[/C][C]0.049990963176204[/C][/ROW]
[ROW][C]0.03[/C][C]1.17201615922219[/C][C]0.0480179658409501[/C][/ROW]
[ROW][C]0.04[/C][C]1.20193982155475[/C][C]0.0504170157109692[/C][/ROW]
[ROW][C]0.05[/C][C]1.23148360067702[/C][C]0.0660613524800721[/C][/ROW]
[ROW][C]0.06[/C][C]1.26428400204113[/C][C]0.0856737095847534[/C][/ROW]
[ROW][C]0.07[/C][C]1.3014605848004[/C][C]0.10034661167309[/C][/ROW]
[ROW][C]0.08[/C][C]1.3411394194163[/C][C]0.105540405642775[/C][/ROW]
[ROW][C]0.09[/C][C]1.38005204921954[/C][C]0.100767320144166[/C][/ROW]
[ROW][C]0.1[/C][C]1.41520132577709[/C][C]0.0885819119358522[/C][/ROW]
[ROW][C]0.11[/C][C]1.44483597681456[/C][C]0.0731320471243332[/C][/ROW]
[ROW][C]0.12[/C][C]1.46869069920313[/C][C]0.0586925721566553[/C][/ROW]
[ROW][C]0.13[/C][C]1.48769642238107[/C][C]0.0485795601309428[/C][/ROW]
[ROW][C]0.14[/C][C]1.50342976956542[/C][C]0.0443766476418411[/C][/ROW]
[ROW][C]0.15[/C][C]1.51755113448755[/C][C]0.0454570617358845[/C][/ROW]
[ROW][C]0.16[/C][C]1.53140000090249[/C][C]0.0497040881314145[/C][/ROW]
[ROW][C]0.17[/C][C]1.54580911947023[/C][C]0.0549917367570447[/C][/ROW]
[ROW][C]0.18[/C][C]1.5611097208178[/C][C]0.0598607570658098[/C][/ROW]
[ROW][C]0.19[/C][C]1.57725364480042[/C][C]0.0635309231275941[/C][/ROW]
[ROW][C]0.2[/C][C]1.59397460237986[/C][C]0.0657499532248834[/C][/ROW]
[ROW][C]0.21[/C][C]1.6109333246109[/C][C]0.0666245485604853[/C][/ROW]
[ROW][C]0.22[/C][C]1.62782095207509[/C][C]0.066460347006422[/C][/ROW]
[ROW][C]0.23[/C][C]1.64441811221401[/C][C]0.0656656264168846[/C][/ROW]
[ROW][C]0.24[/C][C]1.66061848896007[/C][C]0.0646947986138058[/C][/ROW]
[ROW][C]0.25[/C][C]1.676427207883[/C][C]0.0639970241762897[/C][/ROW]
[ROW][C]0.26[/C][C]1.69194149356488[/C][C]0.063948811952746[/C][/ROW]
[ROW][C]0.27[/C][C]1.70731876391059[/C][C]0.0647555452802576[/C][/ROW]
[ROW][C]0.28[/C][C]1.72273755341649[/C][C]0.0664053345027342[/C][/ROW]
[ROW][C]0.29[/C][C]1.73835830390574[/C][C]0.0686722290498772[/C][/ROW]
[ROW][C]0.3[/C][C]1.75429179670668[/C][C]0.0712070002419033[/C][/ROW]
[ROW][C]0.31[/C][C]1.7705813124731[/C][C]0.0736393096352423[/C][/ROW]
[ROW][C]0.32[/C][C]1.7872007474653[/C][C]0.0756608682211402[/C][/ROW]
[ROW][C]0.33[/C][C]1.80406648159409[/C][C]0.0770690719050755[/C][/ROW]
[ROW][C]0.34[/C][C]1.82105757284429[/C][C]0.0777782877083189[/C][/ROW]
[ROW][C]0.35[/C][C]1.83803785555094[/C][C]0.0777964519063456[/C][/ROW]
[ROW][C]0.36[/C][C]1.85487467347207[/C][C]0.077200163998354[/C][/ROW]
[ROW][C]0.37[/C][C]1.87145143016458[/C][C]0.0760981781643767[/C][/ROW]
[ROW][C]0.38[/C][C]1.88767379724933[/C][C]0.0746051415909118[/C][/ROW]
[ROW][C]0.39[/C][C]1.90347139180313[/C][C]0.0728191754321733[/C][/ROW]
[ROW][C]0.4[/C][C]1.91879752993856[/C][C]0.0708328675285291[/C][/ROW]
[ROW][C]0.41[/C][C]1.93362923856713[/C][C]0.0687355311242078[/C][/ROW]
[ROW][C]0.42[/C][C]1.94796840486257[/C][C]0.0666334197467734[/C][/ROW]
[ROW][C]0.43[/C][C]1.96184338325201[/C][C]0.0646637769389929[/C][/ROW]
[ROW][C]0.44[/C][C]1.97530926563533[/C][C]0.0629776022224555[/C][/ROW]
[ROW][C]0.45[/C][C]1.98844487432094[/C][C]0.0617199457309762[/C][/ROW]
[ROW][C]0.46[/C][C]2.0013454617047[/C][C]0.0609788529049662[/C][/ROW]
[ROW][C]0.47[/C][C]2.01411169926083[/C][C]0.0607610038398094[/C][/ROW]
[ROW][C]0.48[/C][C]2.02683707499475[/C][C]0.0609808575820923[/C][/ROW]
[ROW][C]0.49[/C][C]2.03959656900787[/C][C]0.0614826360149829[/C][/ROW]
[ROW][C]0.5[/C][C]2.05243909649279[/C][C]0.062096388677312[/C][/ROW]
[ROW][C]0.51[/C][C]2.06538491049707[/C][C]0.0626681665475666[/C][/ROW]
[ROW][C]0.52[/C][C]2.07842759726826[/C][C]0.0630841857281301[/C][/ROW]
[ROW][C]0.53[/C][C]2.09153920839354[/C][C]0.0632830138339694[/C][/ROW]
[ROW][C]0.54[/C][C]2.10467686685999[/C][C]0.0632228155919989[/C][/ROW]
[ROW][C]0.55[/C][C]2.11778973304415[/C][C]0.0628874999090068[/C][/ROW]
[ROW][C]0.56[/C][C]2.13082596306639[/C][C]0.0622759200202483[/C][/ROW]
[ROW][C]0.57[/C][C]2.14373961019131[/C][C]0.0614098654791108[/C][/ROW]
[ROW][C]0.58[/C][C]2.15649703402645[/C][C]0.0603532636764621[/C][/ROW]
[ROW][C]0.59[/C][C]2.16908158282888[/C][C]0.0592095613868995[/C][/ROW]
[ROW][C]0.6[/C][C]2.18149482756278[/C][C]0.058100185548064[/C][/ROW]
[ROW][C]0.61[/C][C]2.19375318259354[/C][C]0.0571280616813318[/C][/ROW]
[ROW][C]0.62[/C][C]2.20588057585385[/C][C]0.0563348025988071[/C][/ROW]
[ROW][C]0.63[/C][C]2.21790037063698[/C][C]0.05568301330527[/C][/ROW]
[ROW][C]0.64[/C][C]2.22983176793147[/C][C]0.0550803577363669[/C][/ROW]
[ROW][C]0.65[/C][C]2.24169607083885[/C][C]0.0544645692469447[/C][/ROW]
[ROW][C]0.66[/C][C]2.25353566960115[/C][C]0.0538880293895783[/C][/ROW]
[ROW][C]0.67[/C][C]2.26544369809365[/C][C]0.0536044401563528[/C][/ROW]
[ROW][C]0.68[/C][C]2.27759649237788[/C][C]0.0540915567551242[/C][/ROW]
[ROW][C]0.69[/C][C]2.29027646602887[/C][C]0.0559819480321751[/C][/ROW]
[ROW][C]0.7[/C][C]2.30387196305959[/C][C]0.059874519455205[/C][/ROW]
[ROW][C]0.71[/C][C]2.31884430075627[/C][C]0.0660754728053286[/C][/ROW]
[ROW][C]0.72[/C][C]2.33566032529283[/C][C]0.074407793422129[/C][/ROW]
[ROW][C]0.73[/C][C]2.35469954320307[/C][C]0.0841663865158032[/C][/ROW]
[ROW][C]0.74[/C][C]2.37615525172902[/C][C]0.0942334612802078[/C][/ROW]
[ROW][C]0.75[/C][C]2.39995564033228[/C][C]0.103258828168473[/C][/ROW]
[ROW][C]0.76[/C][C]2.42573064911868[/C][C]0.109915421007804[/C][/ROW]
[ROW][C]0.77[/C][C]2.45284196276782[/C][C]0.113165028765551[/C][/ROW]
[ROW][C]0.78[/C][C]2.48047767830197[/C][C]0.112507892622086[/C][/ROW]
[ROW][C]0.79[/C][C]2.50779353616406[/C][C]0.108120399309586[/C][/ROW]
[ROW][C]0.8[/C][C]2.53406555020129[/C][C]0.100834486078669[/C][/ROW]
[ROW][C]0.81[/C][C]2.5588123474342[/C][C]0.0919508307901522[/C][/ROW]
[ROW][C]0.82[/C][C]2.58185606179452[/C][C]0.082911916065609[/C][/ROW]
[ROW][C]0.83[/C][C]2.60331893477466[/C][C]0.0749419957700004[/C][/ROW]
[ROW][C]0.84[/C][C]2.62358953616389[/C][C]0.0688284632585931[/C][/ROW]
[ROW][C]0.85[/C][C]2.64331753677261[/C][C]0.0650489467435475[/C][/ROW]
[ROW][C]0.86[/C][C]2.66348446467632[/C][C]0.0643006152516758[/C][/ROW]
[ROW][C]0.87[/C][C]2.68553550969692[/C][C]0.0680781044313396[/C][/ROW]
[ROW][C]0.88[/C][C]2.7114600718428[/C][C]0.0783902813087504[/C][/ROW]
[ROW][C]0.89[/C][C]2.74363464185744[/C][C]0.0961300838461336[/C][/ROW]
[ROW][C]0.9[/C][C]2.78427657647882[/C][C]0.119360044062411[/C][/ROW]
[ROW][C]0.91[/C][C]2.83455800249273[/C][C]0.142992832157596[/C][/ROW]
[ROW][C]0.92[/C][C]2.89374049679557[/C][C]0.160043338300305[/C][/ROW]
[ROW][C]0.93[/C][C]2.95891465724591[/C][C]0.164379073600664[/C][/ROW]
[ROW][C]0.94[/C][C]3.0258517161727[/C][C]0.153968420870015[/C][/ROW]
[ROW][C]0.95[/C][C]3.09116519989478[/C][C]0.132800294220077[/C][/ROW]
[ROW][C]0.96[/C][C]3.15588285293777[/C][C]0.110831556420919[/C][/ROW]
[ROW][C]0.97[/C][C]3.23033690202094[/C][C]0.10508685326736[/C][/ROW]
[ROW][C]0.98[/C][C]3.33546520252928[/C][C]0.139459375585122[/C][/ROW]
[ROW][C]0.99[/C][C]3.47963983728539[/C][C]0.220080892616162[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277137&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277137&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
0.011.112818989342510.0319746478352917
0.021.140190417234230.049990963176204
0.031.172016159222190.0480179658409501
0.041.201939821554750.0504170157109692
0.051.231483600677020.0660613524800721
0.061.264284002041130.0856737095847534
0.071.30146058480040.10034661167309
0.081.34113941941630.105540405642775
0.091.380052049219540.100767320144166
0.11.415201325777090.0885819119358522
0.111.444835976814560.0731320471243332
0.121.468690699203130.0586925721566553
0.131.487696422381070.0485795601309428
0.141.503429769565420.0443766476418411
0.151.517551134487550.0454570617358845
0.161.531400000902490.0497040881314145
0.171.545809119470230.0549917367570447
0.181.56110972081780.0598607570658098
0.191.577253644800420.0635309231275941
0.21.593974602379860.0657499532248834
0.211.61093332461090.0666245485604853
0.221.627820952075090.066460347006422
0.231.644418112214010.0656656264168846
0.241.660618488960070.0646947986138058
0.251.6764272078830.0639970241762897
0.261.691941493564880.063948811952746
0.271.707318763910590.0647555452802576
0.281.722737553416490.0664053345027342
0.291.738358303905740.0686722290498772
0.31.754291796706680.0712070002419033
0.311.77058131247310.0736393096352423
0.321.78720074746530.0756608682211402
0.331.804066481594090.0770690719050755
0.341.821057572844290.0777782877083189
0.351.838037855550940.0777964519063456
0.361.854874673472070.077200163998354
0.371.871451430164580.0760981781643767
0.381.887673797249330.0746051415909118
0.391.903471391803130.0728191754321733
0.41.918797529938560.0708328675285291
0.411.933629238567130.0687355311242078
0.421.947968404862570.0666334197467734
0.431.961843383252010.0646637769389929
0.441.975309265635330.0629776022224555
0.451.988444874320940.0617199457309762
0.462.00134546170470.0609788529049662
0.472.014111699260830.0607610038398094
0.482.026837074994750.0609808575820923
0.492.039596569007870.0614826360149829
0.52.052439096492790.062096388677312
0.512.065384910497070.0626681665475666
0.522.078427597268260.0630841857281301
0.532.091539208393540.0632830138339694
0.542.104676866859990.0632228155919989
0.552.117789733044150.0628874999090068
0.562.130825963066390.0622759200202483
0.572.143739610191310.0614098654791108
0.582.156497034026450.0603532636764621
0.592.169081582828880.0592095613868995
0.62.181494827562780.058100185548064
0.612.193753182593540.0571280616813318
0.622.205880575853850.0563348025988071
0.632.217900370636980.05568301330527
0.642.229831767931470.0550803577363669
0.652.241696070838850.0544645692469447
0.662.253535669601150.0538880293895783
0.672.265443698093650.0536044401563528
0.682.277596492377880.0540915567551242
0.692.290276466028870.0559819480321751
0.72.303871963059590.059874519455205
0.712.318844300756270.0660754728053286
0.722.335660325292830.074407793422129
0.732.354699543203070.0841663865158032
0.742.376155251729020.0942334612802078
0.752.399955640332280.103258828168473
0.762.425730649118680.109915421007804
0.772.452841962767820.113165028765551
0.782.480477678301970.112507892622086
0.792.507793536164060.108120399309586
0.82.534065550201290.100834486078669
0.812.55881234743420.0919508307901522
0.822.581856061794520.082911916065609
0.832.603318934774660.0749419957700004
0.842.623589536163890.0688284632585931
0.852.643317536772610.0650489467435475
0.862.663484464676320.0643006152516758
0.872.685535509696920.0680781044313396
0.882.71146007184280.0783902813087504
0.892.743634641857440.0961300838461336
0.92.784276576478820.119360044062411
0.912.834558002492730.142992832157596
0.922.893740496795570.160043338300305
0.932.958914657245910.164379073600664
0.943.02585171617270.153968420870015
0.953.091165199894780.132800294220077
0.963.155882852937770.110831556420919
0.973.230336902020940.10508685326736
0.983.335465202529280.139459375585122
0.993.479639837285390.220080892616162


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')