FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 27 Oct 2008 16:41:20 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/27/t1225147371xdmsga042b1si4e.htm/, Retrieved Sun, 19 May 2024 14:32:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19701, Retrieved Sun, 19 May 2024 14:32:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact136

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Investigating dis...] [2007-10-22 20:06:26] [b9964c45117f7aac638ab9056d451faa]
F   PD    [Harrell-Davis Quantiles] [] [2008-10-27 22:41:20] [7ed4ec9f8cdf7df79ef87b9dc09dff20] [Current]
Feedback Forum
2008-11-01 13:02:14 [2df1bcd103d52957f4a39bd4617794c8] [reply] 
De analyse en de berekinging van de student mbt het gevraagde interval is, naar mijn mening, correct.
2008-11-03 20:22:57 [Chi-Kwong Man] [reply] 
Is denk ik correct.
2008-11-03 23:08:41 [Martjin De Swert] [reply] 
Voor zover mijn kennis reikt kan ik me schikken in dit antwoord.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.91190253
0.916515426
0.899126291
1.008991009
0.993421053
0.992160279
1.062730627
1.109195402
0.991362764
1.063888889
1.007619048
0.996825397
1.069565217
1.03649635
1
1.088974855
1.022526934
1.019073569
0.974759615
1.174123337
1.054307116
1.000879507
1.051707317
1.068322981
1.121606949
1.058577406
1.052785924
1.119675456
1.037678208
1.109090909
1.070238095
1.200542005
1.1280077
1.168867925
1.028806584
1.009746589
1.057303371
1.052238806
1.023993145
1.055243446
1.059898477
1.050547599
0.99
1.055495103
1.07325684
1.050397878
1.095100865
1.02575897
1.005170631
1.014851485
0.97005988
1.037807183
1.05959596
0.974497682
0.963855422
1.088863892
1.011216566
1.077735125
1.034391534
0.990196078
1.013888889
0.972041007
0.970774092
1.045675413
1.028837998
1.020962733
1.017142857
1.113006397
1.050529747
1.076862124
1.069823435
1.039417309
1.046006944
1.083708371
1.061585835
1.112974404
1.124050633
1.098127341
1.012732615
1.14453125

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19701&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19701&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19701&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.9047287555755110.0137141995468964
0.020.9146227605992180.0190507963555238
0.030.9267343185063570.0241763801156384
0.040.9391807178868870.0248367539327387
0.050.950372335422150.0213399153472881
0.060.9593726398802820.0162930211760678
0.070.966085443650680.0120388820618501
0.080.9710016098494360.00961377946115532
0.090.9747799200981060.00879949096151522
0.10.9779534634041450.00877797697919728
0.110.9808346095901330.00888322511147414
0.120.983551190205690.00881490949739568
0.130.986126364863890.00853278595272715
0.140.9885480410952680.00812746998983515
0.150.9908090460449150.00772774816381511
0.160.9929202065938570.00742753969761666
0.170.994906548496240.00725515765776041
0.180.9967971649706530.0071824647574748
0.190.998616121210160.00715411848621572
0.21.000377794897640.00711837219726993
0.211.002086880315650.00703982547351436
0.221.003741518386180.00690955530991893
0.231.005337557494810.00673744741507147
0.241.006872334541550.00654820946712317
0.251.008347082512000.00636769431394743
0.261.009767754321080.00622439586059184
0.271.011144524928110.00613813653332637
0.281.012490461351100.00611927913330785
0.291.013819878131600.00616965686089403
0.31.015146795576110.00627855030409571
0.311.016483759154950.00643971079066179
0.321.017841115938280.00663796338658931
0.331.019226714903960.00686283954259687
0.341.020645920769570.00710176951147199
0.351.022101807087980.00734717727564384
0.361.023595411918880.00758806827035665
0.371.0251259793180.0078189030581177
0.381.026691152519050.00803136690638359
0.391.028287115894150.00821918093914925
0.41.029908697434160.00837297070742225
0.411.031549445291040.0084877446634871
0.421.033201689806010.00855794121752611
0.431.034856605121660.00857649637542206
0.441.036504295477290.0085391876063676
0.451.038133946767320.00844099762679492
0.461.039734094285300.00827964042927867
0.471.041293052161110.00805155491280553
0.481.042799522966550.00776004910748217
0.491.044243360240550.00741125986357202
0.51.045616404263430.0070170541722136
0.511.046913269517580.00659508015274206
0.521.048131946943070.00616495022653658
0.531.049274103796640.00574734847994608
0.541.050345015903330.00536687323716193
0.551.051353137932890.00503735276388547
0.561.052309387406180.00477401511976988
0.571.053226268186820.00458226985231524
0.581.054116976610390.00446305375063057
0.591.054994615909110.00441233501758839
0.61.055871600578900.00442173120735559
0.611.056759277648130.00448377446223675
0.621.057667744419940.00459041448345827
0.631.058605816412840.00473391496811578
0.641.059581100690420.00490837711192518
0.651.060600153642130.00510659561765154
0.661.061668734144620.00532451059332613
0.671.062792183696870.00555711096492405
0.681.063975957902960.00580611048911366
0.691.065226292188370.00607066707503395
0.71.066550917959340.00636038983483784
0.711.067959677598300.00668902969531543
0.721.069464849073520.00706495472586126
0.731.071081008772010.00750146728310407
0.741.072824339459650.0080008073935007
0.751.074711406298540.00856133683642803
0.761.076757532795140.00916736757473069
0.771.078974964082440.00979814460391924
0.781.081370987986980.0104246167306914
0.791.083946124742620.0110159022115375
0.81.086692468767470.0115343619865554
0.811.089592350298730.0119406854902681
0.821.092617700705250.0121946813844665
0.831.095730762668860.0122579152354023
0.841.098886903128980.0121047391062142
0.851.102040107232860.0117327509532639
0.861.105151300752850.0111756445321135
0.871.108199300497130.0105055408341337
0.881.111194355112150.00983600294134954
0.891.114194858335440.00931587459670236
0.91.117327620741390.00914204994631947
0.911.120808430086010.0095659980892987
0.921.124950235390780.0108523081358678
0.931.130134255853780.0131102848070072
0.941.136720609546620.0160429433263855
0.951.144918525589980.0187998059930096
0.961.154725735971010.0202034339378198
0.971.166052321826450.0197148881966698
0.981.178751840198030.0191102081107444
0.991.191612634502680.0217958248970301

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.904728755575511 & 0.0137141995468964 \tabularnewline
0.02 & 0.914622760599218 & 0.0190507963555238 \tabularnewline
0.03 & 0.926734318506357 & 0.0241763801156384 \tabularnewline
0.04 & 0.939180717886887 & 0.0248367539327387 \tabularnewline
0.05 & 0.95037233542215 & 0.0213399153472881 \tabularnewline
0.06 & 0.959372639880282 & 0.0162930211760678 \tabularnewline
0.07 & 0.96608544365068 & 0.0120388820618501 \tabularnewline
0.08 & 0.971001609849436 & 0.00961377946115532 \tabularnewline
0.09 & 0.974779920098106 & 0.00879949096151522 \tabularnewline
0.1 & 0.977953463404145 & 0.00877797697919728 \tabularnewline
0.11 & 0.980834609590133 & 0.00888322511147414 \tabularnewline
0.12 & 0.98355119020569 & 0.00881490949739568 \tabularnewline
0.13 & 0.98612636486389 & 0.00853278595272715 \tabularnewline
0.14 & 0.988548041095268 & 0.00812746998983515 \tabularnewline
0.15 & 0.990809046044915 & 0.00772774816381511 \tabularnewline
0.16 & 0.992920206593857 & 0.00742753969761666 \tabularnewline
0.17 & 0.99490654849624 & 0.00725515765776041 \tabularnewline
0.18 & 0.996797164970653 & 0.0071824647574748 \tabularnewline
0.19 & 0.99861612121016 & 0.00715411848621572 \tabularnewline
0.2 & 1.00037779489764 & 0.00711837219726993 \tabularnewline
0.21 & 1.00208688031565 & 0.00703982547351436 \tabularnewline
0.22 & 1.00374151838618 & 0.00690955530991893 \tabularnewline
0.23 & 1.00533755749481 & 0.00673744741507147 \tabularnewline
0.24 & 1.00687233454155 & 0.00654820946712317 \tabularnewline
0.25 & 1.00834708251200 & 0.00636769431394743 \tabularnewline
0.26 & 1.00976775432108 & 0.00622439586059184 \tabularnewline
0.27 & 1.01114452492811 & 0.00613813653332637 \tabularnewline
0.28 & 1.01249046135110 & 0.00611927913330785 \tabularnewline
0.29 & 1.01381987813160 & 0.00616965686089403 \tabularnewline
0.3 & 1.01514679557611 & 0.00627855030409571 \tabularnewline
0.31 & 1.01648375915495 & 0.00643971079066179 \tabularnewline
0.32 & 1.01784111593828 & 0.00663796338658931 \tabularnewline
0.33 & 1.01922671490396 & 0.00686283954259687 \tabularnewline
0.34 & 1.02064592076957 & 0.00710176951147199 \tabularnewline
0.35 & 1.02210180708798 & 0.00734717727564384 \tabularnewline
0.36 & 1.02359541191888 & 0.00758806827035665 \tabularnewline
0.37 & 1.025125979318 & 0.0078189030581177 \tabularnewline
0.38 & 1.02669115251905 & 0.00803136690638359 \tabularnewline
0.39 & 1.02828711589415 & 0.00821918093914925 \tabularnewline
0.4 & 1.02990869743416 & 0.00837297070742225 \tabularnewline
0.41 & 1.03154944529104 & 0.0084877446634871 \tabularnewline
0.42 & 1.03320168980601 & 0.00855794121752611 \tabularnewline
0.43 & 1.03485660512166 & 0.00857649637542206 \tabularnewline
0.44 & 1.03650429547729 & 0.0085391876063676 \tabularnewline
0.45 & 1.03813394676732 & 0.00844099762679492 \tabularnewline
0.46 & 1.03973409428530 & 0.00827964042927867 \tabularnewline
0.47 & 1.04129305216111 & 0.00805155491280553 \tabularnewline
0.48 & 1.04279952296655 & 0.00776004910748217 \tabularnewline
0.49 & 1.04424336024055 & 0.00741125986357202 \tabularnewline
0.5 & 1.04561640426343 & 0.0070170541722136 \tabularnewline
0.51 & 1.04691326951758 & 0.00659508015274206 \tabularnewline
0.52 & 1.04813194694307 & 0.00616495022653658 \tabularnewline
0.53 & 1.04927410379664 & 0.00574734847994608 \tabularnewline
0.54 & 1.05034501590333 & 0.00536687323716193 \tabularnewline
0.55 & 1.05135313793289 & 0.00503735276388547 \tabularnewline
0.56 & 1.05230938740618 & 0.00477401511976988 \tabularnewline
0.57 & 1.05322626818682 & 0.00458226985231524 \tabularnewline
0.58 & 1.05411697661039 & 0.00446305375063057 \tabularnewline
0.59 & 1.05499461590911 & 0.00441233501758839 \tabularnewline
0.6 & 1.05587160057890 & 0.00442173120735559 \tabularnewline
0.61 & 1.05675927764813 & 0.00448377446223675 \tabularnewline
0.62 & 1.05766774441994 & 0.00459041448345827 \tabularnewline
0.63 & 1.05860581641284 & 0.00473391496811578 \tabularnewline
0.64 & 1.05958110069042 & 0.00490837711192518 \tabularnewline
0.65 & 1.06060015364213 & 0.00510659561765154 \tabularnewline
0.66 & 1.06166873414462 & 0.00532451059332613 \tabularnewline
0.67 & 1.06279218369687 & 0.00555711096492405 \tabularnewline
0.68 & 1.06397595790296 & 0.00580611048911366 \tabularnewline
0.69 & 1.06522629218837 & 0.00607066707503395 \tabularnewline
0.7 & 1.06655091795934 & 0.00636038983483784 \tabularnewline
0.71 & 1.06795967759830 & 0.00668902969531543 \tabularnewline
0.72 & 1.06946484907352 & 0.00706495472586126 \tabularnewline
0.73 & 1.07108100877201 & 0.00750146728310407 \tabularnewline
0.74 & 1.07282433945965 & 0.0080008073935007 \tabularnewline
0.75 & 1.07471140629854 & 0.00856133683642803 \tabularnewline
0.76 & 1.07675753279514 & 0.00916736757473069 \tabularnewline
0.77 & 1.07897496408244 & 0.00979814460391924 \tabularnewline
0.78 & 1.08137098798698 & 0.0104246167306914 \tabularnewline
0.79 & 1.08394612474262 & 0.0110159022115375 \tabularnewline
0.8 & 1.08669246876747 & 0.0115343619865554 \tabularnewline
0.81 & 1.08959235029873 & 0.0119406854902681 \tabularnewline
0.82 & 1.09261770070525 & 0.0121946813844665 \tabularnewline
0.83 & 1.09573076266886 & 0.0122579152354023 \tabularnewline
0.84 & 1.09888690312898 & 0.0121047391062142 \tabularnewline
0.85 & 1.10204010723286 & 0.0117327509532639 \tabularnewline
0.86 & 1.10515130075285 & 0.0111756445321135 \tabularnewline
0.87 & 1.10819930049713 & 0.0105055408341337 \tabularnewline
0.88 & 1.11119435511215 & 0.00983600294134954 \tabularnewline
0.89 & 1.11419485833544 & 0.00931587459670236 \tabularnewline
0.9 & 1.11732762074139 & 0.00914204994631947 \tabularnewline
0.91 & 1.12080843008601 & 0.0095659980892987 \tabularnewline
0.92 & 1.12495023539078 & 0.0108523081358678 \tabularnewline
0.93 & 1.13013425585378 & 0.0131102848070072 \tabularnewline
0.94 & 1.13672060954662 & 0.0160429433263855 \tabularnewline
0.95 & 1.14491852558998 & 0.0187998059930096 \tabularnewline
0.96 & 1.15472573597101 & 0.0202034339378198 \tabularnewline
0.97 & 1.16605232182645 & 0.0197148881966698 \tabularnewline
0.98 & 1.17875184019803 & 0.0191102081107444 \tabularnewline
0.99 & 1.19161263450268 & 0.0217958248970301 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19701&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]0.904728755575511[/C][C]0.0137141995468964[/C][/ROW]
[ROW][C]0.02[/C][C]0.914622760599218[/C][C]0.0190507963555238[/C][/ROW]
[ROW][C]0.03[/C][C]0.926734318506357[/C][C]0.0241763801156384[/C][/ROW]
[ROW][C]0.04[/C][C]0.939180717886887[/C][C]0.0248367539327387[/C][/ROW]
[ROW][C]0.05[/C][C]0.95037233542215[/C][C]0.0213399153472881[/C][/ROW]
[ROW][C]0.06[/C][C]0.959372639880282[/C][C]0.0162930211760678[/C][/ROW]
[ROW][C]0.07[/C][C]0.96608544365068[/C][C]0.0120388820618501[/C][/ROW]
[ROW][C]0.08[/C][C]0.971001609849436[/C][C]0.00961377946115532[/C][/ROW]
[ROW][C]0.09[/C][C]0.974779920098106[/C][C]0.00879949096151522[/C][/ROW]
[ROW][C]0.1[/C][C]0.977953463404145[/C][C]0.00877797697919728[/C][/ROW]
[ROW][C]0.11[/C][C]0.980834609590133[/C][C]0.00888322511147414[/C][/ROW]
[ROW][C]0.12[/C][C]0.98355119020569[/C][C]0.00881490949739568[/C][/ROW]
[ROW][C]0.13[/C][C]0.98612636486389[/C][C]0.00853278595272715[/C][/ROW]
[ROW][C]0.14[/C][C]0.988548041095268[/C][C]0.00812746998983515[/C][/ROW]
[ROW][C]0.15[/C][C]0.990809046044915[/C][C]0.00772774816381511[/C][/ROW]
[ROW][C]0.16[/C][C]0.992920206593857[/C][C]0.00742753969761666[/C][/ROW]
[ROW][C]0.17[/C][C]0.99490654849624[/C][C]0.00725515765776041[/C][/ROW]
[ROW][C]0.18[/C][C]0.996797164970653[/C][C]0.0071824647574748[/C][/ROW]
[ROW][C]0.19[/C][C]0.99861612121016[/C][C]0.00715411848621572[/C][/ROW]
[ROW][C]0.2[/C][C]1.00037779489764[/C][C]0.00711837219726993[/C][/ROW]
[ROW][C]0.21[/C][C]1.00208688031565[/C][C]0.00703982547351436[/C][/ROW]
[ROW][C]0.22[/C][C]1.00374151838618[/C][C]0.00690955530991893[/C][/ROW]
[ROW][C]0.23[/C][C]1.00533755749481[/C][C]0.00673744741507147[/C][/ROW]
[ROW][C]0.24[/C][C]1.00687233454155[/C][C]0.00654820946712317[/C][/ROW]
[ROW][C]0.25[/C][C]1.00834708251200[/C][C]0.00636769431394743[/C][/ROW]
[ROW][C]0.26[/C][C]1.00976775432108[/C][C]0.00622439586059184[/C][/ROW]
[ROW][C]0.27[/C][C]1.01114452492811[/C][C]0.00613813653332637[/C][/ROW]
[ROW][C]0.28[/C][C]1.01249046135110[/C][C]0.00611927913330785[/C][/ROW]
[ROW][C]0.29[/C][C]1.01381987813160[/C][C]0.00616965686089403[/C][/ROW]
[ROW][C]0.3[/C][C]1.01514679557611[/C][C]0.00627855030409571[/C][/ROW]
[ROW][C]0.31[/C][C]1.01648375915495[/C][C]0.00643971079066179[/C][/ROW]
[ROW][C]0.32[/C][C]1.01784111593828[/C][C]0.00663796338658931[/C][/ROW]
[ROW][C]0.33[/C][C]1.01922671490396[/C][C]0.00686283954259687[/C][/ROW]
[ROW][C]0.34[/C][C]1.02064592076957[/C][C]0.00710176951147199[/C][/ROW]
[ROW][C]0.35[/C][C]1.02210180708798[/C][C]0.00734717727564384[/C][/ROW]
[ROW][C]0.36[/C][C]1.02359541191888[/C][C]0.00758806827035665[/C][/ROW]
[ROW][C]0.37[/C][C]1.025125979318[/C][C]0.0078189030581177[/C][/ROW]
[ROW][C]0.38[/C][C]1.02669115251905[/C][C]0.00803136690638359[/C][/ROW]
[ROW][C]0.39[/C][C]1.02828711589415[/C][C]0.00821918093914925[/C][/ROW]
[ROW][C]0.4[/C][C]1.02990869743416[/C][C]0.00837297070742225[/C][/ROW]
[ROW][C]0.41[/C][C]1.03154944529104[/C][C]0.0084877446634871[/C][/ROW]
[ROW][C]0.42[/C][C]1.03320168980601[/C][C]0.00855794121752611[/C][/ROW]
[ROW][C]0.43[/C][C]1.03485660512166[/C][C]0.00857649637542206[/C][/ROW]
[ROW][C]0.44[/C][C]1.03650429547729[/C][C]0.0085391876063676[/C][/ROW]
[ROW][C]0.45[/C][C]1.03813394676732[/C][C]0.00844099762679492[/C][/ROW]
[ROW][C]0.46[/C][C]1.03973409428530[/C][C]0.00827964042927867[/C][/ROW]
[ROW][C]0.47[/C][C]1.04129305216111[/C][C]0.00805155491280553[/C][/ROW]
[ROW][C]0.48[/C][C]1.04279952296655[/C][C]0.00776004910748217[/C][/ROW]
[ROW][C]0.49[/C][C]1.04424336024055[/C][C]0.00741125986357202[/C][/ROW]
[ROW][C]0.5[/C][C]1.04561640426343[/C][C]0.0070170541722136[/C][/ROW]
[ROW][C]0.51[/C][C]1.04691326951758[/C][C]0.00659508015274206[/C][/ROW]
[ROW][C]0.52[/C][C]1.04813194694307[/C][C]0.00616495022653658[/C][/ROW]
[ROW][C]0.53[/C][C]1.04927410379664[/C][C]0.00574734847994608[/C][/ROW]
[ROW][C]0.54[/C][C]1.05034501590333[/C][C]0.00536687323716193[/C][/ROW]
[ROW][C]0.55[/C][C]1.05135313793289[/C][C]0.00503735276388547[/C][/ROW]
[ROW][C]0.56[/C][C]1.05230938740618[/C][C]0.00477401511976988[/C][/ROW]
[ROW][C]0.57[/C][C]1.05322626818682[/C][C]0.00458226985231524[/C][/ROW]
[ROW][C]0.58[/C][C]1.05411697661039[/C][C]0.00446305375063057[/C][/ROW]
[ROW][C]0.59[/C][C]1.05499461590911[/C][C]0.00441233501758839[/C][/ROW]
[ROW][C]0.6[/C][C]1.05587160057890[/C][C]0.00442173120735559[/C][/ROW]
[ROW][C]0.61[/C][C]1.05675927764813[/C][C]0.00448377446223675[/C][/ROW]
[ROW][C]0.62[/C][C]1.05766774441994[/C][C]0.00459041448345827[/C][/ROW]
[ROW][C]0.63[/C][C]1.05860581641284[/C][C]0.00473391496811578[/C][/ROW]
[ROW][C]0.64[/C][C]1.05958110069042[/C][C]0.00490837711192518[/C][/ROW]
[ROW][C]0.65[/C][C]1.06060015364213[/C][C]0.00510659561765154[/C][/ROW]
[ROW][C]0.66[/C][C]1.06166873414462[/C][C]0.00532451059332613[/C][/ROW]
[ROW][C]0.67[/C][C]1.06279218369687[/C][C]0.00555711096492405[/C][/ROW]
[ROW][C]0.68[/C][C]1.06397595790296[/C][C]0.00580611048911366[/C][/ROW]
[ROW][C]0.69[/C][C]1.06522629218837[/C][C]0.00607066707503395[/C][/ROW]
[ROW][C]0.7[/C][C]1.06655091795934[/C][C]0.00636038983483784[/C][/ROW]
[ROW][C]0.71[/C][C]1.06795967759830[/C][C]0.00668902969531543[/C][/ROW]
[ROW][C]0.72[/C][C]1.06946484907352[/C][C]0.00706495472586126[/C][/ROW]
[ROW][C]0.73[/C][C]1.07108100877201[/C][C]0.00750146728310407[/C][/ROW]
[ROW][C]0.74[/C][C]1.07282433945965[/C][C]0.0080008073935007[/C][/ROW]
[ROW][C]0.75[/C][C]1.07471140629854[/C][C]0.00856133683642803[/C][/ROW]
[ROW][C]0.76[/C][C]1.07675753279514[/C][C]0.00916736757473069[/C][/ROW]
[ROW][C]0.77[/C][C]1.07897496408244[/C][C]0.00979814460391924[/C][/ROW]
[ROW][C]0.78[/C][C]1.08137098798698[/C][C]0.0104246167306914[/C][/ROW]
[ROW][C]0.79[/C][C]1.08394612474262[/C][C]0.0110159022115375[/C][/ROW]
[ROW][C]0.8[/C][C]1.08669246876747[/C][C]0.0115343619865554[/C][/ROW]
[ROW][C]0.81[/C][C]1.08959235029873[/C][C]0.0119406854902681[/C][/ROW]
[ROW][C]0.82[/C][C]1.09261770070525[/C][C]0.0121946813844665[/C][/ROW]
[ROW][C]0.83[/C][C]1.09573076266886[/C][C]0.0122579152354023[/C][/ROW]
[ROW][C]0.84[/C][C]1.09888690312898[/C][C]0.0121047391062142[/C][/ROW]
[ROW][C]0.85[/C][C]1.10204010723286[/C][C]0.0117327509532639[/C][/ROW]
[ROW][C]0.86[/C][C]1.10515130075285[/C][C]0.0111756445321135[/C][/ROW]
[ROW][C]0.87[/C][C]1.10819930049713[/C][C]0.0105055408341337[/C][/ROW]
[ROW][C]0.88[/C][C]1.11119435511215[/C][C]0.00983600294134954[/C][/ROW]
[ROW][C]0.89[/C][C]1.11419485833544[/C][C]0.00931587459670236[/C][/ROW]
[ROW][C]0.9[/C][C]1.11732762074139[/C][C]0.00914204994631947[/C][/ROW]
[ROW][C]0.91[/C][C]1.12080843008601[/C][C]0.0095659980892987[/C][/ROW]
[ROW][C]0.92[/C][C]1.12495023539078[/C][C]0.0108523081358678[/C][/ROW]
[ROW][C]0.93[/C][C]1.13013425585378[/C][C]0.0131102848070072[/C][/ROW]
[ROW][C]0.94[/C][C]1.13672060954662[/C][C]0.0160429433263855[/C][/ROW]
[ROW][C]0.95[/C][C]1.14491852558998[/C][C]0.0187998059930096[/C][/ROW]
[ROW][C]0.96[/C][C]1.15472573597101[/C][C]0.0202034339378198[/C][/ROW]
[ROW][C]0.97[/C][C]1.16605232182645[/C][C]0.0197148881966698[/C][/ROW]
[ROW][C]0.98[/C][C]1.17875184019803[/C][C]0.0191102081107444[/C][/ROW]
[ROW][C]0.99[/C][C]1.19161263450268[/C][C]0.0217958248970301[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19701&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19701&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
0.010.9047287555755110.0137141995468964
0.020.9146227605992180.0190507963555238
0.030.9267343185063570.0241763801156384
0.040.9391807178868870.0248367539327387
0.050.950372335422150.0213399153472881
0.060.9593726398802820.0162930211760678
0.070.966085443650680.0120388820618501
0.080.9710016098494360.00961377946115532
0.090.9747799200981060.00879949096151522
0.10.9779534634041450.00877797697919728
0.110.9808346095901330.00888322511147414
0.120.983551190205690.00881490949739568
0.130.986126364863890.00853278595272715
0.140.9885480410952680.00812746998983515
0.150.9908090460449150.00772774816381511
0.160.9929202065938570.00742753969761666
0.170.994906548496240.00725515765776041
0.180.9967971649706530.0071824647574748
0.190.998616121210160.00715411848621572
0.21.000377794897640.00711837219726993
0.211.002086880315650.00703982547351436
0.221.003741518386180.00690955530991893
0.231.005337557494810.00673744741507147
0.241.006872334541550.00654820946712317
0.251.008347082512000.00636769431394743
0.261.009767754321080.00622439586059184
0.271.011144524928110.00613813653332637
0.281.012490461351100.00611927913330785
0.291.013819878131600.00616965686089403
0.31.015146795576110.00627855030409571
0.311.016483759154950.00643971079066179
0.321.017841115938280.00663796338658931
0.331.019226714903960.00686283954259687
0.341.020645920769570.00710176951147199
0.351.022101807087980.00734717727564384
0.361.023595411918880.00758806827035665
0.371.0251259793180.0078189030581177
0.381.026691152519050.00803136690638359
0.391.028287115894150.00821918093914925
0.41.029908697434160.00837297070742225
0.411.031549445291040.0084877446634871
0.421.033201689806010.00855794121752611
0.431.034856605121660.00857649637542206
0.441.036504295477290.0085391876063676
0.451.038133946767320.00844099762679492
0.461.039734094285300.00827964042927867
0.471.041293052161110.00805155491280553
0.481.042799522966550.00776004910748217
0.491.044243360240550.00741125986357202
0.51.045616404263430.0070170541722136
0.511.046913269517580.00659508015274206
0.521.048131946943070.00616495022653658
0.531.049274103796640.00574734847994608
0.541.050345015903330.00536687323716193
0.551.051353137932890.00503735276388547
0.561.052309387406180.00477401511976988
0.571.053226268186820.00458226985231524
0.581.054116976610390.00446305375063057
0.591.054994615909110.00441233501758839
0.61.055871600578900.00442173120735559
0.611.056759277648130.00448377446223675
0.621.057667744419940.00459041448345827
0.631.058605816412840.00473391496811578
0.641.059581100690420.00490837711192518
0.651.060600153642130.00510659561765154
0.661.061668734144620.00532451059332613
0.671.062792183696870.00555711096492405
0.681.063975957902960.00580611048911366
0.691.065226292188370.00607066707503395
0.71.066550917959340.00636038983483784
0.711.067959677598300.00668902969531543
0.721.069464849073520.00706495472586126
0.731.071081008772010.00750146728310407
0.741.072824339459650.0080008073935007
0.751.074711406298540.00856133683642803
0.761.076757532795140.00916736757473069
0.771.078974964082440.00979814460391924
0.781.081370987986980.0104246167306914
0.791.083946124742620.0110159022115375
0.81.086692468767470.0115343619865554
0.811.089592350298730.0119406854902681
0.821.092617700705250.0121946813844665
0.831.095730762668860.0122579152354023
0.841.098886903128980.0121047391062142
0.851.102040107232860.0117327509532639
0.861.105151300752850.0111756445321135
0.871.108199300497130.0105055408341337
0.881.111194355112150.00983600294134954
0.891.114194858335440.00931587459670236
0.91.117327620741390.00914204994631947
0.911.120808430086010.0095659980892987
0.921.124950235390780.0108523081358678
0.931.130134255853780.0131102848070072
0.941.136720609546620.0160429433263855
0.951.144918525589980.0187998059930096
0.961.154725735971010.0202034339378198
0.971.166052321826450.0197148881966698
0.981.178751840198030.0191102081107444
0.991.191612634502680.0217958248970301


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')