Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_percentiles.wasp
Title produced by softwarePercentiles
Date of computationFri, 16 Oct 2009 10:24:56 -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/16/t12557103390pm57lgu2hs0equ.htm/, Retrieved Tue, 30 Apr 2024 06:49:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=47064, Retrieved Tue, 30 Apr 2024 06:49:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact128
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Inflatie] [2009-10-11 21:52:09] [badc6a9acdc45286bea7f74742e15a21]
-    D  [Univariate Data Series] [Inflatie] [2009-10-11 22:00:34] [badc6a9acdc45286bea7f74742e15a21]
-         [Univariate Data Series] [Inflatie] [2009-10-12 20:15:52] [badc6a9acdc45286bea7f74742e15a21]
-   PD      [Univariate Data Series] [ws 3 part 2] [2009-10-16 15:38:58] [badc6a9acdc45286bea7f74742e15a21]
- RM D        [Central Tendency] [ws 3 part 3] [2009-10-16 16:17:52] [badc6a9acdc45286bea7f74742e15a21]
- RM              [Percentiles] [ws 3 part 3] [2009-10-16 16:24:56] [0545e25c765ce26b196961216dc11e13] [Current]
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Dataseries X:
-0.6
-0.8
-1
-0.3
0.4
0
0.1
0
-0.2
0.7
0.3
-0.1
0
0.3
0.8
0.4
0.3
0.7
0.7
0.9
1
0.2
0.3
0.59
0.55
0.55
-0.25
0.1
0.3
-0.14
-0.35
-0.63
-1.1
-1.47
-1.25
-1.29
-1.8
-1.7
-1.85
-1.95
-2.45
-2.6
-2.7
-2.8
-2.6
-1.8
-1.1
-0.9
-0.5
-0.4
0.4
0.1
1.1
1.8
1.72
1.15
1.25
0.83
-0.22
-0.05
-0.21
-0.1
-1.06
-0.61
-1.29
-2
-2.7
-1.7
-2




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47064&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47064&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47064&T=0

As an alternative you can also use a 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'George Udny Yule' @ 72.249.76.132







Percentiles - Ungrouped Data
pWeighted Average at XnpWeighted Average at X(n+1)pEmpirical Distribution FunctionEmpirical Distribution Function - AveragingEmpirical Distribution Function - InterpolationClosest ObservationTrue Basic - Statistics Graphics ToolkitMS Excel (old versions)
0.02-2.762-2.76-2.7-2.7-2.7-2.8-2.74-2.8
0.04-2.7-2.7-2.7-2.7-2.628-2.7-2.7-2.7
0.06-2.6-2.6-2.6-2.6-2.588-2.6-2.6-2.6
0.08-2.522-2.51-2.45-2.45-2.252-2.45-2.54-2.45
0.1-2.045-2-2-2-2-2-2-2
0.12-1.986-1.98-1.95-1.95-1.934-2-1.97-2
0.14-1.884-1.87-1.85-1.85-1.824-1.85-1.93-1.85
0.16-1.8-1.8-1.8-1.8-1.8-1.8-1.8-1.8
0.18-1.758-1.74-1.7-1.7-1.7-1.8-1.76-1.7
0.2-1.7-1.7-1.7-1.7-1.562-1.7-1.7-1.7
0.22-1.4376-1.398-1.29-1.29-1.2972-1.47-1.362-1.47
0.24-1.29-1.29-1.29-1.29-1.2772-1.29-1.29-1.29
0.26-1.2524-1.22-1.25-1.25-1.148-1.25-1.13-1.25
0.28-1.1-1.1-1.1-1.1-1.0984-1.1-1.1-1.1
0.3-1.072-1.06-1.06-1.06-1.036-1.06-1.06-1.06
0.32-0.992-0.96-0.9-0.9-0.924-1-0.94-1
0.34-0.854-0.82-0.8-0.8-0.7796-0.9-0.88-0.8
0.36-0.6572-0.626-0.63-0.63-0.6204-0.63-0.614-0.63
0.38-0.6078-0.604-0.6-0.6-0.6016-0.61-0.606-0.6
0.4-0.54-0.5-0.5-0.5-0.48-0.5-0.5-0.5
0.42-0.402-0.38-0.4-0.4-0.372-0.4-0.37-0.4
0.44-0.332-0.31-0.3-0.3-0.304-0.35-0.34-0.3
0.46-0.263-0.244-0.25-0.25-0.2416-0.25-0.226-0.25
0.48-0.2188-0.214-0.21-0.21-0.2136-0.22-0.216-0.21
0.5-0.205-0.2-0.2-0.2-0.2-0.2-0.2-0.2
0.52-0.1472-0.124-0.14-0.14-0.1256-0.14-0.116-0.14
0.54-0.1-0.1-0.1-0.1-0.1-0.1-0.1-0.1
0.56-0.068-0.04-0.05-0.05-0.046-0.05-0.01-0.05
0.5800000000
0.600000000
0.620.0780.10.10.10.10.10.10.1
0.640.10.10.10.10.10.10.10.1
0.660.1540.220.20.20.1880.20.280.2
0.680.2920.30.30.30.30.30.30.3
0.70.30.30.30.30.30.30.30.3
0.720.30.30.30.30.30.30.30.3
0.740.3060.380.40.40.3320.30.320.4
0.760.40.40.40.40.40.40.40.4
0.780.40.490.40.40.4060.40.460.55
0.80.550.550.550.550.550.550.550.55
0.820.57320.6340.590.590.58040.590.6560.59
0.840.69560.70.70.70.70.70.70.7
0.860.70.720.70.70.70.70.780.7
0.880.7720.8180.80.80.7840.80.8120.83
0.90.8370.90.90.90.8440.830.90.9
0.920.9481.04110.9560.91.061
0.941.0861.141.11.11.0921.11.111.15
0.961.1741.3441.251.251.1781.151.6261.25
0.981.54141.7681.721.721.55081.721.7521.8

\begin{tabular}{lllllllll}
\hline
Percentiles - Ungrouped Data \tabularnewline
p & Weighted Average at Xnp & Weighted Average at X(n+1)p & Empirical Distribution Function & Empirical Distribution Function - Averaging & Empirical Distribution Function - Interpolation & Closest Observation & True Basic - Statistics Graphics Toolkit & MS Excel (old versions) \tabularnewline
0.02 & -2.762 & -2.76 & -2.7 & -2.7 & -2.7 & -2.8 & -2.74 & -2.8 \tabularnewline
0.04 & -2.7 & -2.7 & -2.7 & -2.7 & -2.628 & -2.7 & -2.7 & -2.7 \tabularnewline
0.06 & -2.6 & -2.6 & -2.6 & -2.6 & -2.588 & -2.6 & -2.6 & -2.6 \tabularnewline
0.08 & -2.522 & -2.51 & -2.45 & -2.45 & -2.252 & -2.45 & -2.54 & -2.45 \tabularnewline
0.1 & -2.045 & -2 & -2 & -2 & -2 & -2 & -2 & -2 \tabularnewline
0.12 & -1.986 & -1.98 & -1.95 & -1.95 & -1.934 & -2 & -1.97 & -2 \tabularnewline
0.14 & -1.884 & -1.87 & -1.85 & -1.85 & -1.824 & -1.85 & -1.93 & -1.85 \tabularnewline
0.16 & -1.8 & -1.8 & -1.8 & -1.8 & -1.8 & -1.8 & -1.8 & -1.8 \tabularnewline
0.18 & -1.758 & -1.74 & -1.7 & -1.7 & -1.7 & -1.8 & -1.76 & -1.7 \tabularnewline
0.2 & -1.7 & -1.7 & -1.7 & -1.7 & -1.562 & -1.7 & -1.7 & -1.7 \tabularnewline
0.22 & -1.4376 & -1.398 & -1.29 & -1.29 & -1.2972 & -1.47 & -1.362 & -1.47 \tabularnewline
0.24 & -1.29 & -1.29 & -1.29 & -1.29 & -1.2772 & -1.29 & -1.29 & -1.29 \tabularnewline
0.26 & -1.2524 & -1.22 & -1.25 & -1.25 & -1.148 & -1.25 & -1.13 & -1.25 \tabularnewline
0.28 & -1.1 & -1.1 & -1.1 & -1.1 & -1.0984 & -1.1 & -1.1 & -1.1 \tabularnewline
0.3 & -1.072 & -1.06 & -1.06 & -1.06 & -1.036 & -1.06 & -1.06 & -1.06 \tabularnewline
0.32 & -0.992 & -0.96 & -0.9 & -0.9 & -0.924 & -1 & -0.94 & -1 \tabularnewline
0.34 & -0.854 & -0.82 & -0.8 & -0.8 & -0.7796 & -0.9 & -0.88 & -0.8 \tabularnewline
0.36 & -0.6572 & -0.626 & -0.63 & -0.63 & -0.6204 & -0.63 & -0.614 & -0.63 \tabularnewline
0.38 & -0.6078 & -0.604 & -0.6 & -0.6 & -0.6016 & -0.61 & -0.606 & -0.6 \tabularnewline
0.4 & -0.54 & -0.5 & -0.5 & -0.5 & -0.48 & -0.5 & -0.5 & -0.5 \tabularnewline
0.42 & -0.402 & -0.38 & -0.4 & -0.4 & -0.372 & -0.4 & -0.37 & -0.4 \tabularnewline
0.44 & -0.332 & -0.31 & -0.3 & -0.3 & -0.304 & -0.35 & -0.34 & -0.3 \tabularnewline
0.46 & -0.263 & -0.244 & -0.25 & -0.25 & -0.2416 & -0.25 & -0.226 & -0.25 \tabularnewline
0.48 & -0.2188 & -0.214 & -0.21 & -0.21 & -0.2136 & -0.22 & -0.216 & -0.21 \tabularnewline
0.5 & -0.205 & -0.2 & -0.2 & -0.2 & -0.2 & -0.2 & -0.2 & -0.2 \tabularnewline
0.52 & -0.1472 & -0.124 & -0.14 & -0.14 & -0.1256 & -0.14 & -0.116 & -0.14 \tabularnewline
0.54 & -0.1 & -0.1 & -0.1 & -0.1 & -0.1 & -0.1 & -0.1 & -0.1 \tabularnewline
0.56 & -0.068 & -0.04 & -0.05 & -0.05 & -0.046 & -0.05 & -0.01 & -0.05 \tabularnewline
0.58 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
0.6 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
0.62 & 0.078 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 \tabularnewline
0.64 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 \tabularnewline
0.66 & 0.154 & 0.22 & 0.2 & 0.2 & 0.188 & 0.2 & 0.28 & 0.2 \tabularnewline
0.68 & 0.292 & 0.3 & 0.3 & 0.3 & 0.3 & 0.3 & 0.3 & 0.3 \tabularnewline
0.7 & 0.3 & 0.3 & 0.3 & 0.3 & 0.3 & 0.3 & 0.3 & 0.3 \tabularnewline
0.72 & 0.3 & 0.3 & 0.3 & 0.3 & 0.3 & 0.3 & 0.3 & 0.3 \tabularnewline
0.74 & 0.306 & 0.38 & 0.4 & 0.4 & 0.332 & 0.3 & 0.32 & 0.4 \tabularnewline
0.76 & 0.4 & 0.4 & 0.4 & 0.4 & 0.4 & 0.4 & 0.4 & 0.4 \tabularnewline
0.78 & 0.4 & 0.49 & 0.4 & 0.4 & 0.406 & 0.4 & 0.46 & 0.55 \tabularnewline
0.8 & 0.55 & 0.55 & 0.55 & 0.55 & 0.55 & 0.55 & 0.55 & 0.55 \tabularnewline
0.82 & 0.5732 & 0.634 & 0.59 & 0.59 & 0.5804 & 0.59 & 0.656 & 0.59 \tabularnewline
0.84 & 0.6956 & 0.7 & 0.7 & 0.7 & 0.7 & 0.7 & 0.7 & 0.7 \tabularnewline
0.86 & 0.7 & 0.72 & 0.7 & 0.7 & 0.7 & 0.7 & 0.78 & 0.7 \tabularnewline
0.88 & 0.772 & 0.818 & 0.8 & 0.8 & 0.784 & 0.8 & 0.812 & 0.83 \tabularnewline
0.9 & 0.837 & 0.9 & 0.9 & 0.9 & 0.844 & 0.83 & 0.9 & 0.9 \tabularnewline
0.92 & 0.948 & 1.04 & 1 & 1 & 0.956 & 0.9 & 1.06 & 1 \tabularnewline
0.94 & 1.086 & 1.14 & 1.1 & 1.1 & 1.092 & 1.1 & 1.11 & 1.15 \tabularnewline
0.96 & 1.174 & 1.344 & 1.25 & 1.25 & 1.178 & 1.15 & 1.626 & 1.25 \tabularnewline
0.98 & 1.5414 & 1.768 & 1.72 & 1.72 & 1.5508 & 1.72 & 1.752 & 1.8 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47064&T=1

[TABLE]
[ROW][C]Percentiles - Ungrouped Data[/C][/ROW]
[ROW][C]p[/C][C]Weighted Average at Xnp[/C][C]Weighted Average at X(n+1)p[/C][C]Empirical Distribution Function[/C][C]Empirical Distribution Function - Averaging[/C][C]Empirical Distribution Function - Interpolation[/C][C]Closest Observation[/C][C]True Basic - Statistics Graphics Toolkit[/C][C]MS Excel (old versions)[/C][/ROW]
[ROW][C]0.02[/C][C]-2.762[/C][C]-2.76[/C][C]-2.7[/C][C]-2.7[/C][C]-2.7[/C][C]-2.8[/C][C]-2.74[/C][C]-2.8[/C][/ROW]
[ROW][C]0.04[/C][C]-2.7[/C][C]-2.7[/C][C]-2.7[/C][C]-2.7[/C][C]-2.628[/C][C]-2.7[/C][C]-2.7[/C][C]-2.7[/C][/ROW]
[ROW][C]0.06[/C][C]-2.6[/C][C]-2.6[/C][C]-2.6[/C][C]-2.6[/C][C]-2.588[/C][C]-2.6[/C][C]-2.6[/C][C]-2.6[/C][/ROW]
[ROW][C]0.08[/C][C]-2.522[/C][C]-2.51[/C][C]-2.45[/C][C]-2.45[/C][C]-2.252[/C][C]-2.45[/C][C]-2.54[/C][C]-2.45[/C][/ROW]
[ROW][C]0.1[/C][C]-2.045[/C][C]-2[/C][C]-2[/C][C]-2[/C][C]-2[/C][C]-2[/C][C]-2[/C][C]-2[/C][/ROW]
[ROW][C]0.12[/C][C]-1.986[/C][C]-1.98[/C][C]-1.95[/C][C]-1.95[/C][C]-1.934[/C][C]-2[/C][C]-1.97[/C][C]-2[/C][/ROW]
[ROW][C]0.14[/C][C]-1.884[/C][C]-1.87[/C][C]-1.85[/C][C]-1.85[/C][C]-1.824[/C][C]-1.85[/C][C]-1.93[/C][C]-1.85[/C][/ROW]
[ROW][C]0.16[/C][C]-1.8[/C][C]-1.8[/C][C]-1.8[/C][C]-1.8[/C][C]-1.8[/C][C]-1.8[/C][C]-1.8[/C][C]-1.8[/C][/ROW]
[ROW][C]0.18[/C][C]-1.758[/C][C]-1.74[/C][C]-1.7[/C][C]-1.7[/C][C]-1.7[/C][C]-1.8[/C][C]-1.76[/C][C]-1.7[/C][/ROW]
[ROW][C]0.2[/C][C]-1.7[/C][C]-1.7[/C][C]-1.7[/C][C]-1.7[/C][C]-1.562[/C][C]-1.7[/C][C]-1.7[/C][C]-1.7[/C][/ROW]
[ROW][C]0.22[/C][C]-1.4376[/C][C]-1.398[/C][C]-1.29[/C][C]-1.29[/C][C]-1.2972[/C][C]-1.47[/C][C]-1.362[/C][C]-1.47[/C][/ROW]
[ROW][C]0.24[/C][C]-1.29[/C][C]-1.29[/C][C]-1.29[/C][C]-1.29[/C][C]-1.2772[/C][C]-1.29[/C][C]-1.29[/C][C]-1.29[/C][/ROW]
[ROW][C]0.26[/C][C]-1.2524[/C][C]-1.22[/C][C]-1.25[/C][C]-1.25[/C][C]-1.148[/C][C]-1.25[/C][C]-1.13[/C][C]-1.25[/C][/ROW]
[ROW][C]0.28[/C][C]-1.1[/C][C]-1.1[/C][C]-1.1[/C][C]-1.1[/C][C]-1.0984[/C][C]-1.1[/C][C]-1.1[/C][C]-1.1[/C][/ROW]
[ROW][C]0.3[/C][C]-1.072[/C][C]-1.06[/C][C]-1.06[/C][C]-1.06[/C][C]-1.036[/C][C]-1.06[/C][C]-1.06[/C][C]-1.06[/C][/ROW]
[ROW][C]0.32[/C][C]-0.992[/C][C]-0.96[/C][C]-0.9[/C][C]-0.9[/C][C]-0.924[/C][C]-1[/C][C]-0.94[/C][C]-1[/C][/ROW]
[ROW][C]0.34[/C][C]-0.854[/C][C]-0.82[/C][C]-0.8[/C][C]-0.8[/C][C]-0.7796[/C][C]-0.9[/C][C]-0.88[/C][C]-0.8[/C][/ROW]
[ROW][C]0.36[/C][C]-0.6572[/C][C]-0.626[/C][C]-0.63[/C][C]-0.63[/C][C]-0.6204[/C][C]-0.63[/C][C]-0.614[/C][C]-0.63[/C][/ROW]
[ROW][C]0.38[/C][C]-0.6078[/C][C]-0.604[/C][C]-0.6[/C][C]-0.6[/C][C]-0.6016[/C][C]-0.61[/C][C]-0.606[/C][C]-0.6[/C][/ROW]
[ROW][C]0.4[/C][C]-0.54[/C][C]-0.5[/C][C]-0.5[/C][C]-0.5[/C][C]-0.48[/C][C]-0.5[/C][C]-0.5[/C][C]-0.5[/C][/ROW]
[ROW][C]0.42[/C][C]-0.402[/C][C]-0.38[/C][C]-0.4[/C][C]-0.4[/C][C]-0.372[/C][C]-0.4[/C][C]-0.37[/C][C]-0.4[/C][/ROW]
[ROW][C]0.44[/C][C]-0.332[/C][C]-0.31[/C][C]-0.3[/C][C]-0.3[/C][C]-0.304[/C][C]-0.35[/C][C]-0.34[/C][C]-0.3[/C][/ROW]
[ROW][C]0.46[/C][C]-0.263[/C][C]-0.244[/C][C]-0.25[/C][C]-0.25[/C][C]-0.2416[/C][C]-0.25[/C][C]-0.226[/C][C]-0.25[/C][/ROW]
[ROW][C]0.48[/C][C]-0.2188[/C][C]-0.214[/C][C]-0.21[/C][C]-0.21[/C][C]-0.2136[/C][C]-0.22[/C][C]-0.216[/C][C]-0.21[/C][/ROW]
[ROW][C]0.5[/C][C]-0.205[/C][C]-0.2[/C][C]-0.2[/C][C]-0.2[/C][C]-0.2[/C][C]-0.2[/C][C]-0.2[/C][C]-0.2[/C][/ROW]
[ROW][C]0.52[/C][C]-0.1472[/C][C]-0.124[/C][C]-0.14[/C][C]-0.14[/C][C]-0.1256[/C][C]-0.14[/C][C]-0.116[/C][C]-0.14[/C][/ROW]
[ROW][C]0.54[/C][C]-0.1[/C][C]-0.1[/C][C]-0.1[/C][C]-0.1[/C][C]-0.1[/C][C]-0.1[/C][C]-0.1[/C][C]-0.1[/C][/ROW]
[ROW][C]0.56[/C][C]-0.068[/C][C]-0.04[/C][C]-0.05[/C][C]-0.05[/C][C]-0.046[/C][C]-0.05[/C][C]-0.01[/C][C]-0.05[/C][/ROW]
[ROW][C]0.58[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]0.6[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]0.62[/C][C]0.078[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][/ROW]
[ROW][C]0.64[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][/ROW]
[ROW][C]0.66[/C][C]0.154[/C][C]0.22[/C][C]0.2[/C][C]0.2[/C][C]0.188[/C][C]0.2[/C][C]0.28[/C][C]0.2[/C][/ROW]
[ROW][C]0.68[/C][C]0.292[/C][C]0.3[/C][C]0.3[/C][C]0.3[/C][C]0.3[/C][C]0.3[/C][C]0.3[/C][C]0.3[/C][/ROW]
[ROW][C]0.7[/C][C]0.3[/C][C]0.3[/C][C]0.3[/C][C]0.3[/C][C]0.3[/C][C]0.3[/C][C]0.3[/C][C]0.3[/C][/ROW]
[ROW][C]0.72[/C][C]0.3[/C][C]0.3[/C][C]0.3[/C][C]0.3[/C][C]0.3[/C][C]0.3[/C][C]0.3[/C][C]0.3[/C][/ROW]
[ROW][C]0.74[/C][C]0.306[/C][C]0.38[/C][C]0.4[/C][C]0.4[/C][C]0.332[/C][C]0.3[/C][C]0.32[/C][C]0.4[/C][/ROW]
[ROW][C]0.76[/C][C]0.4[/C][C]0.4[/C][C]0.4[/C][C]0.4[/C][C]0.4[/C][C]0.4[/C][C]0.4[/C][C]0.4[/C][/ROW]
[ROW][C]0.78[/C][C]0.4[/C][C]0.49[/C][C]0.4[/C][C]0.4[/C][C]0.406[/C][C]0.4[/C][C]0.46[/C][C]0.55[/C][/ROW]
[ROW][C]0.8[/C][C]0.55[/C][C]0.55[/C][C]0.55[/C][C]0.55[/C][C]0.55[/C][C]0.55[/C][C]0.55[/C][C]0.55[/C][/ROW]
[ROW][C]0.82[/C][C]0.5732[/C][C]0.634[/C][C]0.59[/C][C]0.59[/C][C]0.5804[/C][C]0.59[/C][C]0.656[/C][C]0.59[/C][/ROW]
[ROW][C]0.84[/C][C]0.6956[/C][C]0.7[/C][C]0.7[/C][C]0.7[/C][C]0.7[/C][C]0.7[/C][C]0.7[/C][C]0.7[/C][/ROW]
[ROW][C]0.86[/C][C]0.7[/C][C]0.72[/C][C]0.7[/C][C]0.7[/C][C]0.7[/C][C]0.7[/C][C]0.78[/C][C]0.7[/C][/ROW]
[ROW][C]0.88[/C][C]0.772[/C][C]0.818[/C][C]0.8[/C][C]0.8[/C][C]0.784[/C][C]0.8[/C][C]0.812[/C][C]0.83[/C][/ROW]
[ROW][C]0.9[/C][C]0.837[/C][C]0.9[/C][C]0.9[/C][C]0.9[/C][C]0.844[/C][C]0.83[/C][C]0.9[/C][C]0.9[/C][/ROW]
[ROW][C]0.92[/C][C]0.948[/C][C]1.04[/C][C]1[/C][C]1[/C][C]0.956[/C][C]0.9[/C][C]1.06[/C][C]1[/C][/ROW]
[ROW][C]0.94[/C][C]1.086[/C][C]1.14[/C][C]1.1[/C][C]1.1[/C][C]1.092[/C][C]1.1[/C][C]1.11[/C][C]1.15[/C][/ROW]
[ROW][C]0.96[/C][C]1.174[/C][C]1.344[/C][C]1.25[/C][C]1.25[/C][C]1.178[/C][C]1.15[/C][C]1.626[/C][C]1.25[/C][/ROW]
[ROW][C]0.98[/C][C]1.5414[/C][C]1.768[/C][C]1.72[/C][C]1.72[/C][C]1.5508[/C][C]1.72[/C][C]1.752[/C][C]1.8[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47064&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47064&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Percentiles - Ungrouped Data
pWeighted Average at XnpWeighted Average at X(n+1)pEmpirical Distribution FunctionEmpirical Distribution Function - AveragingEmpirical Distribution Function - InterpolationClosest ObservationTrue Basic - Statistics Graphics ToolkitMS Excel (old versions)
0.02-2.762-2.76-2.7-2.7-2.7-2.8-2.74-2.8
0.04-2.7-2.7-2.7-2.7-2.628-2.7-2.7-2.7
0.06-2.6-2.6-2.6-2.6-2.588-2.6-2.6-2.6
0.08-2.522-2.51-2.45-2.45-2.252-2.45-2.54-2.45
0.1-2.045-2-2-2-2-2-2-2
0.12-1.986-1.98-1.95-1.95-1.934-2-1.97-2
0.14-1.884-1.87-1.85-1.85-1.824-1.85-1.93-1.85
0.16-1.8-1.8-1.8-1.8-1.8-1.8-1.8-1.8
0.18-1.758-1.74-1.7-1.7-1.7-1.8-1.76-1.7
0.2-1.7-1.7-1.7-1.7-1.562-1.7-1.7-1.7
0.22-1.4376-1.398-1.29-1.29-1.2972-1.47-1.362-1.47
0.24-1.29-1.29-1.29-1.29-1.2772-1.29-1.29-1.29
0.26-1.2524-1.22-1.25-1.25-1.148-1.25-1.13-1.25
0.28-1.1-1.1-1.1-1.1-1.0984-1.1-1.1-1.1
0.3-1.072-1.06-1.06-1.06-1.036-1.06-1.06-1.06
0.32-0.992-0.96-0.9-0.9-0.924-1-0.94-1
0.34-0.854-0.82-0.8-0.8-0.7796-0.9-0.88-0.8
0.36-0.6572-0.626-0.63-0.63-0.6204-0.63-0.614-0.63
0.38-0.6078-0.604-0.6-0.6-0.6016-0.61-0.606-0.6
0.4-0.54-0.5-0.5-0.5-0.48-0.5-0.5-0.5
0.42-0.402-0.38-0.4-0.4-0.372-0.4-0.37-0.4
0.44-0.332-0.31-0.3-0.3-0.304-0.35-0.34-0.3
0.46-0.263-0.244-0.25-0.25-0.2416-0.25-0.226-0.25
0.48-0.2188-0.214-0.21-0.21-0.2136-0.22-0.216-0.21
0.5-0.205-0.2-0.2-0.2-0.2-0.2-0.2-0.2
0.52-0.1472-0.124-0.14-0.14-0.1256-0.14-0.116-0.14
0.54-0.1-0.1-0.1-0.1-0.1-0.1-0.1-0.1
0.56-0.068-0.04-0.05-0.05-0.046-0.05-0.01-0.05
0.5800000000
0.600000000
0.620.0780.10.10.10.10.10.10.1
0.640.10.10.10.10.10.10.10.1
0.660.1540.220.20.20.1880.20.280.2
0.680.2920.30.30.30.30.30.30.3
0.70.30.30.30.30.30.30.30.3
0.720.30.30.30.30.30.30.30.3
0.740.3060.380.40.40.3320.30.320.4
0.760.40.40.40.40.40.40.40.4
0.780.40.490.40.40.4060.40.460.55
0.80.550.550.550.550.550.550.550.55
0.820.57320.6340.590.590.58040.590.6560.59
0.840.69560.70.70.70.70.70.70.7
0.860.70.720.70.70.70.70.780.7
0.880.7720.8180.80.80.7840.80.8120.83
0.90.8370.90.90.90.8440.830.90.9
0.920.9481.04110.9560.91.061
0.941.0861.141.11.11.0921.11.111.15
0.961.1741.3441.251.251.1781.151.6261.25
0.981.54141.7681.721.721.55081.721.7521.8



Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.005 ;
Parameters (R input):
R code (references can be found in the software module):
x <-sort(x[!is.na(x)])
q1 <- function(data,n,p,i,f) {
np <- n*p;
i <<- floor(np)
f <<- np - i
qvalue <- (1-f)*data[i] + f*data[i+1]
}
q2 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
qvalue <- (1-f)*data[i] + f*data[i+1]
}
q3 <- function(data,n,p,i,f) {
np <- n*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
qvalue <- data[i+1]
}
}
q4 <- function(data,n,p,i,f) {
np <- n*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- (data[i]+data[i+1])/2
} else {
qvalue <- data[i+1]
}
}
q5 <- function(data,n,p,i,f) {
np <- (n-1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i+1]
} else {
qvalue <- data[i+1] + f*(data[i+2]-data[i+1])
}
}
q6 <- function(data,n,p,i,f) {
np <- n*p+0.5
i <<- floor(np)
f <<- np - i
qvalue <- data[i]
}
q7 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
qvalue <- f*data[i] + (1-f)*data[i+1]
}
}
q8 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
if (f == 0.5) {
qvalue <- (data[i]+data[i+1])/2
} else {
if (f < 0.5) {
qvalue <- data[i]
} else {
qvalue <- data[i+1]
}
}
}
}
lx <- length(x)
qval <- array(NA,dim=c(99,8))
mystep <- 25
mystart <- 25
if (lx>10){
mystep=10
mystart=10
}
if (lx>20){
mystep=5
mystart=5
}
if (lx>50){
mystep=2
mystart=2
}
if (lx>=100){
mystep=1
mystart=1
}
for (perc in seq(mystart,99,mystep)) {
qval[perc,1] <- q1(x,lx,perc/100,i,f)
qval[perc,2] <- q2(x,lx,perc/100,i,f)
qval[perc,3] <- q3(x,lx,perc/100,i,f)
qval[perc,4] <- q4(x,lx,perc/100,i,f)
qval[perc,5] <- q5(x,lx,perc/100,i,f)
qval[perc,6] <- q6(x,lx,perc/100,i,f)
qval[perc,7] <- q7(x,lx,perc/100,i,f)
qval[perc,8] <- q8(x,lx,perc/100,i,f)
}
bitmap(file='test1.png')
myqqnorm <- qqnorm(x,col=2)
qqline(x)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Percentiles - Ungrouped Data',9,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p',1,TRUE)
a<-table.element(a,hyperlink('method_1.htm', 'Weighted Average at Xnp',''),1,TRUE)
a<-table.element(a,hyperlink('method_2.htm','Weighted Average at X(n+1)p',''),1,TRUE)
a<-table.element(a,hyperlink('method_3.htm','Empirical Distribution Function',''),1,TRUE)
a<-table.element(a,hyperlink('method_4.htm','Empirical Distribution Function - Averaging',''),1,TRUE)
a<-table.element(a,hyperlink('method_5.htm','Empirical Distribution Function - Interpolation',''),1,TRUE)
a<-table.element(a,hyperlink('method_6.htm','Closest Observation',''),1,TRUE)
a<-table.element(a,hyperlink('method_7.htm','True Basic - Statistics Graphics Toolkit',''),1,TRUE)
a<-table.element(a,hyperlink('method_8.htm','MS Excel (old versions)',''),1,TRUE)
a<-table.row.end(a)
for (perc in seq(mystart,99,mystep)) {
a<-table.row.start(a)
a<-table.element(a,round(perc/100,2),1,TRUE)
for (j in 1:8) {
a<-table.element(a,round(qval[perc,j],6))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')