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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 computationSat, 17 Oct 2009 03:50:58 -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/2009/Oct/17/t1255773191cawj4o0u83dgvmi.htm/, Retrieved Sun, 05 May 2024 23:11:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=47093, Retrieved Sun, 05 May 2024 23:11:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact137

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] [grijze garnalen k...] [2009-10-17 09:50:58] [ddb1c76c3acba5bf82e5ed3b5a08f68d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
35,75
36,25
35,32
33,80
31,54
30,74
30,55
30,06
30,30
32,24
33,42
33,31
33,76
33,61
33,68
34,17
34,17
34,07
32,36
31,57
31,34
30,81
29,95
29,74
29,56
29,91
29,82
31,46
32,55
32,82
32,74
33,05
32,63
31,85
31,99
31,39
30,16
30,04
29,55
29,12
29,31
29,36
29,67
30,69
31,08
31,08
31,10
30,96
31,94
31,59
32,01
32,13
32,20
32,05
32,12
31,66
32,99
36,02
37,10
37,96
38,96
41,66
47,29
49,42
48,17
46,25
45,43
43,83
41,51
38,25
35,23
34,18

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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47093&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47093&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47093&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0129.17656168002080.16144186607081
0.0229.2596564359590.140685304084553
0.0329.34457024798470.139225750296604
0.0429.42236180947170.145876746279676
0.0529.49307455724410.150947100355591
0.0629.55852384802780.154238213466206
0.0729.6201445261850.158113163724656
0.0829.67904397120990.163499515850972
0.0929.73620839194670.170342508694836
0.129.79254497473150.178654039674109
0.1129.84891267498450.189151026382094
0.1229.90617823906480.202825259480491
0.1329.96523546224410.220304972038108
0.1430.02694462994290.241452476064437
0.1530.09200642256240.265134087626610
0.1630.16082115206530.289491765012473
0.1730.23338803283810.312302728300164
0.1830.30928039079670.331582566504008
0.1930.38770496103820.345847415527938
0.230.46762776751220.354438848612472
0.2130.54793274308140.357509630383164
0.2230.62757522122490.355840912686238
0.2330.70569952507040.350723121764697
0.2430.78170382933290.343539302070301
0.2530.855250871750.335482148029605
0.2630.92623537390180.327474562717993
0.2730.99472569010620.320155630376671
0.2831.06089798750590.313691333670659
0.2931.12497757458790.308092924376963
0.331.18719598063220.303178620100732
0.3131.24776612364220.298820977369515
0.3231.30687292793310.294836629657441
0.3331.36467390058950.291218819046477
0.3431.42130361659770.287927186106877
0.3531.47687742107570.284978944051266
0.3631.53149218070270.282364189996654
0.3731.58522467094810.279940121392337
0.3831.63813028125820.277599438541005
0.3931.69024553273450.275169757411706
0.431.74159723162440.272482601704205
0.4131.79221919089630.269621897010803
0.4231.84217497162930.266855469705315
0.4331.89158281704060.26451025934974
0.4431.94063758118640.263237725549224
0.4531.98962440884670.263728195391737
0.4632.03892022696620.26662666485845
0.4732.08898141176640.272372358377218
0.4832.14031869909030.281251168338993
0.4932.19346283730570.29324017277747
0.532.24892607985290.308024704421448
0.5132.3071650598580.325020912307944
0.5232.36854986979090.343577990926981
0.5332.43334256183620.362969178016875
0.5432.50168627061270.382436485015317
0.5532.5736042942130.401363337233389
0.5632.64900723583140.419129687179268
0.5732.72770599143300.435345184405412
0.5832.80942897777720.449580140209939
0.5932.89384325598030.461564671548022
0.632.98058063282770.471117225050643
0.6133.06927084712710.478232248142829
0.6233.15958407624990.483109831003413
0.6333.25128394325470.486236473603965
0.6433.34428997684170.488449763950342
0.6533.43874539720880.490987664913129
0.6633.53508276911350.495631369150901
0.6733.63407728216830.504214534101248
0.6833.73687610101030.518955000357751
0.6933.84499326480880.541808567101393
0.733.96026366549490.574301211020471
0.7134.0847568220640.61716063233568
0.7234.22066074311450.670144325432628
0.7334.37015628382930.73211486992934
0.7434.53531024863560.801273320156731
0.7534.7180179674710.875519331171689
0.7634.92002093459470.953173349090916
0.7735.14301214596891.03331683855632
0.7835.38882341663391.11617251492827
0.7935.65966955962871.20335411325454
0.835.95840829609711.29739289872468
0.8136.28876453702491.40170098621145
0.8236.65546275678261.51952188336164
0.8337.06420968362711.65355269822695
0.8437.52147114213161.80501233290984
0.8538.03399471391191.97256237965484
0.8638.60804894234782.15125983203416
0.8739.24838330706262.33168739780861
0.8839.95696230038152.50007283882017
0.8940.73159779465422.63902414620322
0.941.56471372757862.72899407424525
0.9142.44263822140582.7502452122526
0.9243.34599029281592.68635517435333
0.9344.25178197778392.52985488607287
0.9445.13762464856472.28896887915198
0.9545.9877668964771.99113330747243
0.9646.79909333720161.67898014117578
0.9747.58088097575521.40183594340756
0.9848.3341861977751.21634809546214
0.9948.99963444383451.17595334859133

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 29.1765616800208 & 0.16144186607081 \tabularnewline
0.02 & 29.259656435959 & 0.140685304084553 \tabularnewline
0.03 & 29.3445702479847 & 0.139225750296604 \tabularnewline
0.04 & 29.4223618094717 & 0.145876746279676 \tabularnewline
0.05 & 29.4930745572441 & 0.150947100355591 \tabularnewline
0.06 & 29.5585238480278 & 0.154238213466206 \tabularnewline
0.07 & 29.620144526185 & 0.158113163724656 \tabularnewline
0.08 & 29.6790439712099 & 0.163499515850972 \tabularnewline
0.09 & 29.7362083919467 & 0.170342508694836 \tabularnewline
0.1 & 29.7925449747315 & 0.178654039674109 \tabularnewline
0.11 & 29.8489126749845 & 0.189151026382094 \tabularnewline
0.12 & 29.9061782390648 & 0.202825259480491 \tabularnewline
0.13 & 29.9652354622441 & 0.220304972038108 \tabularnewline
0.14 & 30.0269446299429 & 0.241452476064437 \tabularnewline
0.15 & 30.0920064225624 & 0.265134087626610 \tabularnewline
0.16 & 30.1608211520653 & 0.289491765012473 \tabularnewline
0.17 & 30.2333880328381 & 0.312302728300164 \tabularnewline
0.18 & 30.3092803907967 & 0.331582566504008 \tabularnewline
0.19 & 30.3877049610382 & 0.345847415527938 \tabularnewline
0.2 & 30.4676277675122 & 0.354438848612472 \tabularnewline
0.21 & 30.5479327430814 & 0.357509630383164 \tabularnewline
0.22 & 30.6275752212249 & 0.355840912686238 \tabularnewline
0.23 & 30.7056995250704 & 0.350723121764697 \tabularnewline
0.24 & 30.7817038293329 & 0.343539302070301 \tabularnewline
0.25 & 30.85525087175 & 0.335482148029605 \tabularnewline
0.26 & 30.9262353739018 & 0.327474562717993 \tabularnewline
0.27 & 30.9947256901062 & 0.320155630376671 \tabularnewline
0.28 & 31.0608979875059 & 0.313691333670659 \tabularnewline
0.29 & 31.1249775745879 & 0.308092924376963 \tabularnewline
0.3 & 31.1871959806322 & 0.303178620100732 \tabularnewline
0.31 & 31.2477661236422 & 0.298820977369515 \tabularnewline
0.32 & 31.3068729279331 & 0.294836629657441 \tabularnewline
0.33 & 31.3646739005895 & 0.291218819046477 \tabularnewline
0.34 & 31.4213036165977 & 0.287927186106877 \tabularnewline
0.35 & 31.4768774210757 & 0.284978944051266 \tabularnewline
0.36 & 31.5314921807027 & 0.282364189996654 \tabularnewline
0.37 & 31.5852246709481 & 0.279940121392337 \tabularnewline
0.38 & 31.6381302812582 & 0.277599438541005 \tabularnewline
0.39 & 31.6902455327345 & 0.275169757411706 \tabularnewline
0.4 & 31.7415972316244 & 0.272482601704205 \tabularnewline
0.41 & 31.7922191908963 & 0.269621897010803 \tabularnewline
0.42 & 31.8421749716293 & 0.266855469705315 \tabularnewline
0.43 & 31.8915828170406 & 0.26451025934974 \tabularnewline
0.44 & 31.9406375811864 & 0.263237725549224 \tabularnewline
0.45 & 31.9896244088467 & 0.263728195391737 \tabularnewline
0.46 & 32.0389202269662 & 0.26662666485845 \tabularnewline
0.47 & 32.0889814117664 & 0.272372358377218 \tabularnewline
0.48 & 32.1403186990903 & 0.281251168338993 \tabularnewline
0.49 & 32.1934628373057 & 0.29324017277747 \tabularnewline
0.5 & 32.2489260798529 & 0.308024704421448 \tabularnewline
0.51 & 32.307165059858 & 0.325020912307944 \tabularnewline
0.52 & 32.3685498697909 & 0.343577990926981 \tabularnewline
0.53 & 32.4333425618362 & 0.362969178016875 \tabularnewline
0.54 & 32.5016862706127 & 0.382436485015317 \tabularnewline
0.55 & 32.573604294213 & 0.401363337233389 \tabularnewline
0.56 & 32.6490072358314 & 0.419129687179268 \tabularnewline
0.57 & 32.7277059914330 & 0.435345184405412 \tabularnewline
0.58 & 32.8094289777772 & 0.449580140209939 \tabularnewline
0.59 & 32.8938432559803 & 0.461564671548022 \tabularnewline
0.6 & 32.9805806328277 & 0.471117225050643 \tabularnewline
0.61 & 33.0692708471271 & 0.478232248142829 \tabularnewline
0.62 & 33.1595840762499 & 0.483109831003413 \tabularnewline
0.63 & 33.2512839432547 & 0.486236473603965 \tabularnewline
0.64 & 33.3442899768417 & 0.488449763950342 \tabularnewline
0.65 & 33.4387453972088 & 0.490987664913129 \tabularnewline
0.66 & 33.5350827691135 & 0.495631369150901 \tabularnewline
0.67 & 33.6340772821683 & 0.504214534101248 \tabularnewline
0.68 & 33.7368761010103 & 0.518955000357751 \tabularnewline
0.69 & 33.8449932648088 & 0.541808567101393 \tabularnewline
0.7 & 33.9602636654949 & 0.574301211020471 \tabularnewline
0.71 & 34.084756822064 & 0.61716063233568 \tabularnewline
0.72 & 34.2206607431145 & 0.670144325432628 \tabularnewline
0.73 & 34.3701562838293 & 0.73211486992934 \tabularnewline
0.74 & 34.5353102486356 & 0.801273320156731 \tabularnewline
0.75 & 34.718017967471 & 0.875519331171689 \tabularnewline
0.76 & 34.9200209345947 & 0.953173349090916 \tabularnewline
0.77 & 35.1430121459689 & 1.03331683855632 \tabularnewline
0.78 & 35.3888234166339 & 1.11617251492827 \tabularnewline
0.79 & 35.6596695596287 & 1.20335411325454 \tabularnewline
0.8 & 35.9584082960971 & 1.29739289872468 \tabularnewline
0.81 & 36.2887645370249 & 1.40170098621145 \tabularnewline
0.82 & 36.6554627567826 & 1.51952188336164 \tabularnewline
0.83 & 37.0642096836271 & 1.65355269822695 \tabularnewline
0.84 & 37.5214711421316 & 1.80501233290984 \tabularnewline
0.85 & 38.0339947139119 & 1.97256237965484 \tabularnewline
0.86 & 38.6080489423478 & 2.15125983203416 \tabularnewline
0.87 & 39.2483833070626 & 2.33168739780861 \tabularnewline
0.88 & 39.9569623003815 & 2.50007283882017 \tabularnewline
0.89 & 40.7315977946542 & 2.63902414620322 \tabularnewline
0.9 & 41.5647137275786 & 2.72899407424525 \tabularnewline
0.91 & 42.4426382214058 & 2.7502452122526 \tabularnewline
0.92 & 43.3459902928159 & 2.68635517435333 \tabularnewline
0.93 & 44.2517819777839 & 2.52985488607287 \tabularnewline
0.94 & 45.1376246485647 & 2.28896887915198 \tabularnewline
0.95 & 45.987766896477 & 1.99113330747243 \tabularnewline
0.96 & 46.7990933372016 & 1.67898014117578 \tabularnewline
0.97 & 47.5808809757552 & 1.40183594340756 \tabularnewline
0.98 & 48.334186197775 & 1.21634809546214 \tabularnewline
0.99 & 48.9996344438345 & 1.17595334859133 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47093&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]29.1765616800208[/C][C]0.16144186607081[/C][/ROW]
[ROW][C]0.02[/C][C]29.259656435959[/C][C]0.140685304084553[/C][/ROW]
[ROW][C]0.03[/C][C]29.3445702479847[/C][C]0.139225750296604[/C][/ROW]
[ROW][C]0.04[/C][C]29.4223618094717[/C][C]0.145876746279676[/C][/ROW]
[ROW][C]0.05[/C][C]29.4930745572441[/C][C]0.150947100355591[/C][/ROW]
[ROW][C]0.06[/C][C]29.5585238480278[/C][C]0.154238213466206[/C][/ROW]
[ROW][C]0.07[/C][C]29.620144526185[/C][C]0.158113163724656[/C][/ROW]
[ROW][C]0.08[/C][C]29.6790439712099[/C][C]0.163499515850972[/C][/ROW]
[ROW][C]0.09[/C][C]29.7362083919467[/C][C]0.170342508694836[/C][/ROW]
[ROW][C]0.1[/C][C]29.7925449747315[/C][C]0.178654039674109[/C][/ROW]
[ROW][C]0.11[/C][C]29.8489126749845[/C][C]0.189151026382094[/C][/ROW]
[ROW][C]0.12[/C][C]29.9061782390648[/C][C]0.202825259480491[/C][/ROW]
[ROW][C]0.13[/C][C]29.9652354622441[/C][C]0.220304972038108[/C][/ROW]
[ROW][C]0.14[/C][C]30.0269446299429[/C][C]0.241452476064437[/C][/ROW]
[ROW][C]0.15[/C][C]30.0920064225624[/C][C]0.265134087626610[/C][/ROW]
[ROW][C]0.16[/C][C]30.1608211520653[/C][C]0.289491765012473[/C][/ROW]
[ROW][C]0.17[/C][C]30.2333880328381[/C][C]0.312302728300164[/C][/ROW]
[ROW][C]0.18[/C][C]30.3092803907967[/C][C]0.331582566504008[/C][/ROW]
[ROW][C]0.19[/C][C]30.3877049610382[/C][C]0.345847415527938[/C][/ROW]
[ROW][C]0.2[/C][C]30.4676277675122[/C][C]0.354438848612472[/C][/ROW]
[ROW][C]0.21[/C][C]30.5479327430814[/C][C]0.357509630383164[/C][/ROW]
[ROW][C]0.22[/C][C]30.6275752212249[/C][C]0.355840912686238[/C][/ROW]
[ROW][C]0.23[/C][C]30.7056995250704[/C][C]0.350723121764697[/C][/ROW]
[ROW][C]0.24[/C][C]30.7817038293329[/C][C]0.343539302070301[/C][/ROW]
[ROW][C]0.25[/C][C]30.85525087175[/C][C]0.335482148029605[/C][/ROW]
[ROW][C]0.26[/C][C]30.9262353739018[/C][C]0.327474562717993[/C][/ROW]
[ROW][C]0.27[/C][C]30.9947256901062[/C][C]0.320155630376671[/C][/ROW]
[ROW][C]0.28[/C][C]31.0608979875059[/C][C]0.313691333670659[/C][/ROW]
[ROW][C]0.29[/C][C]31.1249775745879[/C][C]0.308092924376963[/C][/ROW]
[ROW][C]0.3[/C][C]31.1871959806322[/C][C]0.303178620100732[/C][/ROW]
[ROW][C]0.31[/C][C]31.2477661236422[/C][C]0.298820977369515[/C][/ROW]
[ROW][C]0.32[/C][C]31.3068729279331[/C][C]0.294836629657441[/C][/ROW]
[ROW][C]0.33[/C][C]31.3646739005895[/C][C]0.291218819046477[/C][/ROW]
[ROW][C]0.34[/C][C]31.4213036165977[/C][C]0.287927186106877[/C][/ROW]
[ROW][C]0.35[/C][C]31.4768774210757[/C][C]0.284978944051266[/C][/ROW]
[ROW][C]0.36[/C][C]31.5314921807027[/C][C]0.282364189996654[/C][/ROW]
[ROW][C]0.37[/C][C]31.5852246709481[/C][C]0.279940121392337[/C][/ROW]
[ROW][C]0.38[/C][C]31.6381302812582[/C][C]0.277599438541005[/C][/ROW]
[ROW][C]0.39[/C][C]31.6902455327345[/C][C]0.275169757411706[/C][/ROW]
[ROW][C]0.4[/C][C]31.7415972316244[/C][C]0.272482601704205[/C][/ROW]
[ROW][C]0.41[/C][C]31.7922191908963[/C][C]0.269621897010803[/C][/ROW]
[ROW][C]0.42[/C][C]31.8421749716293[/C][C]0.266855469705315[/C][/ROW]
[ROW][C]0.43[/C][C]31.8915828170406[/C][C]0.26451025934974[/C][/ROW]
[ROW][C]0.44[/C][C]31.9406375811864[/C][C]0.263237725549224[/C][/ROW]
[ROW][C]0.45[/C][C]31.9896244088467[/C][C]0.263728195391737[/C][/ROW]
[ROW][C]0.46[/C][C]32.0389202269662[/C][C]0.26662666485845[/C][/ROW]
[ROW][C]0.47[/C][C]32.0889814117664[/C][C]0.272372358377218[/C][/ROW]
[ROW][C]0.48[/C][C]32.1403186990903[/C][C]0.281251168338993[/C][/ROW]
[ROW][C]0.49[/C][C]32.1934628373057[/C][C]0.29324017277747[/C][/ROW]
[ROW][C]0.5[/C][C]32.2489260798529[/C][C]0.308024704421448[/C][/ROW]
[ROW][C]0.51[/C][C]32.307165059858[/C][C]0.325020912307944[/C][/ROW]
[ROW][C]0.52[/C][C]32.3685498697909[/C][C]0.343577990926981[/C][/ROW]
[ROW][C]0.53[/C][C]32.4333425618362[/C][C]0.362969178016875[/C][/ROW]
[ROW][C]0.54[/C][C]32.5016862706127[/C][C]0.382436485015317[/C][/ROW]
[ROW][C]0.55[/C][C]32.573604294213[/C][C]0.401363337233389[/C][/ROW]
[ROW][C]0.56[/C][C]32.6490072358314[/C][C]0.419129687179268[/C][/ROW]
[ROW][C]0.57[/C][C]32.7277059914330[/C][C]0.435345184405412[/C][/ROW]
[ROW][C]0.58[/C][C]32.8094289777772[/C][C]0.449580140209939[/C][/ROW]
[ROW][C]0.59[/C][C]32.8938432559803[/C][C]0.461564671548022[/C][/ROW]
[ROW][C]0.6[/C][C]32.9805806328277[/C][C]0.471117225050643[/C][/ROW]
[ROW][C]0.61[/C][C]33.0692708471271[/C][C]0.478232248142829[/C][/ROW]
[ROW][C]0.62[/C][C]33.1595840762499[/C][C]0.483109831003413[/C][/ROW]
[ROW][C]0.63[/C][C]33.2512839432547[/C][C]0.486236473603965[/C][/ROW]
[ROW][C]0.64[/C][C]33.3442899768417[/C][C]0.488449763950342[/C][/ROW]
[ROW][C]0.65[/C][C]33.4387453972088[/C][C]0.490987664913129[/C][/ROW]
[ROW][C]0.66[/C][C]33.5350827691135[/C][C]0.495631369150901[/C][/ROW]
[ROW][C]0.67[/C][C]33.6340772821683[/C][C]0.504214534101248[/C][/ROW]
[ROW][C]0.68[/C][C]33.7368761010103[/C][C]0.518955000357751[/C][/ROW]
[ROW][C]0.69[/C][C]33.8449932648088[/C][C]0.541808567101393[/C][/ROW]
[ROW][C]0.7[/C][C]33.9602636654949[/C][C]0.574301211020471[/C][/ROW]
[ROW][C]0.71[/C][C]34.084756822064[/C][C]0.61716063233568[/C][/ROW]
[ROW][C]0.72[/C][C]34.2206607431145[/C][C]0.670144325432628[/C][/ROW]
[ROW][C]0.73[/C][C]34.3701562838293[/C][C]0.73211486992934[/C][/ROW]
[ROW][C]0.74[/C][C]34.5353102486356[/C][C]0.801273320156731[/C][/ROW]
[ROW][C]0.75[/C][C]34.718017967471[/C][C]0.875519331171689[/C][/ROW]
[ROW][C]0.76[/C][C]34.9200209345947[/C][C]0.953173349090916[/C][/ROW]
[ROW][C]0.77[/C][C]35.1430121459689[/C][C]1.03331683855632[/C][/ROW]
[ROW][C]0.78[/C][C]35.3888234166339[/C][C]1.11617251492827[/C][/ROW]
[ROW][C]0.79[/C][C]35.6596695596287[/C][C]1.20335411325454[/C][/ROW]
[ROW][C]0.8[/C][C]35.9584082960971[/C][C]1.29739289872468[/C][/ROW]
[ROW][C]0.81[/C][C]36.2887645370249[/C][C]1.40170098621145[/C][/ROW]
[ROW][C]0.82[/C][C]36.6554627567826[/C][C]1.51952188336164[/C][/ROW]
[ROW][C]0.83[/C][C]37.0642096836271[/C][C]1.65355269822695[/C][/ROW]
[ROW][C]0.84[/C][C]37.5214711421316[/C][C]1.80501233290984[/C][/ROW]
[ROW][C]0.85[/C][C]38.0339947139119[/C][C]1.97256237965484[/C][/ROW]
[ROW][C]0.86[/C][C]38.6080489423478[/C][C]2.15125983203416[/C][/ROW]
[ROW][C]0.87[/C][C]39.2483833070626[/C][C]2.33168739780861[/C][/ROW]
[ROW][C]0.88[/C][C]39.9569623003815[/C][C]2.50007283882017[/C][/ROW]
[ROW][C]0.89[/C][C]40.7315977946542[/C][C]2.63902414620322[/C][/ROW]
[ROW][C]0.9[/C][C]41.5647137275786[/C][C]2.72899407424525[/C][/ROW]
[ROW][C]0.91[/C][C]42.4426382214058[/C][C]2.7502452122526[/C][/ROW]
[ROW][C]0.92[/C][C]43.3459902928159[/C][C]2.68635517435333[/C][/ROW]
[ROW][C]0.93[/C][C]44.2517819777839[/C][C]2.52985488607287[/C][/ROW]
[ROW][C]0.94[/C][C]45.1376246485647[/C][C]2.28896887915198[/C][/ROW]
[ROW][C]0.95[/C][C]45.987766896477[/C][C]1.99113330747243[/C][/ROW]
[ROW][C]0.96[/C][C]46.7990933372016[/C][C]1.67898014117578[/C][/ROW]
[ROW][C]0.97[/C][C]47.5808809757552[/C][C]1.40183594340756[/C][/ROW]
[ROW][C]0.98[/C][C]48.334186197775[/C][C]1.21634809546214[/C][/ROW]
[ROW][C]0.99[/C][C]48.9996344438345[/C][C]1.17595334859133[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47093&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47093&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
0.0129.17656168002080.16144186607081
0.0229.2596564359590.140685304084553
0.0329.34457024798470.139225750296604
0.0429.42236180947170.145876746279676
0.0529.49307455724410.150947100355591
0.0629.55852384802780.154238213466206
0.0729.6201445261850.158113163724656
0.0829.67904397120990.163499515850972
0.0929.73620839194670.170342508694836
0.129.79254497473150.178654039674109
0.1129.84891267498450.189151026382094
0.1229.90617823906480.202825259480491
0.1329.96523546224410.220304972038108
0.1430.02694462994290.241452476064437
0.1530.09200642256240.265134087626610
0.1630.16082115206530.289491765012473
0.1730.23338803283810.312302728300164
0.1830.30928039079670.331582566504008
0.1930.38770496103820.345847415527938
0.230.46762776751220.354438848612472
0.2130.54793274308140.357509630383164
0.2230.62757522122490.355840912686238
0.2330.70569952507040.350723121764697
0.2430.78170382933290.343539302070301
0.2530.855250871750.335482148029605
0.2630.92623537390180.327474562717993
0.2730.99472569010620.320155630376671
0.2831.06089798750590.313691333670659
0.2931.12497757458790.308092924376963
0.331.18719598063220.303178620100732
0.3131.24776612364220.298820977369515
0.3231.30687292793310.294836629657441
0.3331.36467390058950.291218819046477
0.3431.42130361659770.287927186106877
0.3531.47687742107570.284978944051266
0.3631.53149218070270.282364189996654
0.3731.58522467094810.279940121392337
0.3831.63813028125820.277599438541005
0.3931.69024553273450.275169757411706
0.431.74159723162440.272482601704205
0.4131.79221919089630.269621897010803
0.4231.84217497162930.266855469705315
0.4331.89158281704060.26451025934974
0.4431.94063758118640.263237725549224
0.4531.98962440884670.263728195391737
0.4632.03892022696620.26662666485845
0.4732.08898141176640.272372358377218
0.4832.14031869909030.281251168338993
0.4932.19346283730570.29324017277747
0.532.24892607985290.308024704421448
0.5132.3071650598580.325020912307944
0.5232.36854986979090.343577990926981
0.5332.43334256183620.362969178016875
0.5432.50168627061270.382436485015317
0.5532.5736042942130.401363337233389
0.5632.64900723583140.419129687179268
0.5732.72770599143300.435345184405412
0.5832.80942897777720.449580140209939
0.5932.89384325598030.461564671548022
0.632.98058063282770.471117225050643
0.6133.06927084712710.478232248142829
0.6233.15958407624990.483109831003413
0.6333.25128394325470.486236473603965
0.6433.34428997684170.488449763950342
0.6533.43874539720880.490987664913129
0.6633.53508276911350.495631369150901
0.6733.63407728216830.504214534101248
0.6833.73687610101030.518955000357751
0.6933.84499326480880.541808567101393
0.733.96026366549490.574301211020471
0.7134.0847568220640.61716063233568
0.7234.22066074311450.670144325432628
0.7334.37015628382930.73211486992934
0.7434.53531024863560.801273320156731
0.7534.7180179674710.875519331171689
0.7634.92002093459470.953173349090916
0.7735.14301214596891.03331683855632
0.7835.38882341663391.11617251492827
0.7935.65966955962871.20335411325454
0.835.95840829609711.29739289872468
0.8136.28876453702491.40170098621145
0.8236.65546275678261.51952188336164
0.8337.06420968362711.65355269822695
0.8437.52147114213161.80501233290984
0.8538.03399471391191.97256237965484
0.8638.60804894234782.15125983203416
0.8739.24838330706262.33168739780861
0.8839.95696230038152.50007283882017
0.8940.73159779465422.63902414620322
0.941.56471372757862.72899407424525
0.9142.44263822140582.7502452122526
0.9243.34599029281592.68635517435333
0.9344.25178197778392.52985488607287
0.9445.13762464856472.28896887915198
0.9545.9877668964771.99113330747243
0.9646.79909333720161.67898014117578
0.9747.58088097575521.40183594340756
0.9848.3341861977751.21634809546214
0.9948.99963444383451.17595334859133


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')