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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software ModulePatrick.Wessarwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 14 Dec 2010 11:47:41 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/14/t12923271482cg12elcz9sykcv.htm/, Retrieved Thu, 02 May 2024 22:34:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=109445, Retrieved Thu, 02 May 2024 22:34:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact125

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [] [2010-12-05 17:44:33] [b98453cac15ba1066b407e146608df68]
-   PD  [Kendall tau Correlation Matrix] [] [2010-12-13 09:45:33] [dd4fe494cff2ee46c12b15bdc7b848ca]
-    D    [Kendall tau Correlation Matrix] [] [2010-12-13 16:29:23] [dd4fe494cff2ee46c12b15bdc7b848ca]
- RMPD        [Histogram] [] [2010-12-14 11:47:41] [6c31f786e793d35ef3a03978bc5de774] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1
2547
10.55
0.023
160
3.3
52.16
0.425
465
0.075
3
0.785
0.2
27.66
0.12
85
0.101
1.04
521
0.005
0.01
62
0.023
0.048
1.7
3.5
0.48
10
1.62
192
2.5
0.28
4.235
6.8
0.75
3.6
55.5
0.9
2
0.104
4.19
3.5

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' @ 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109445&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=109445&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109445&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' @ 72.249.127.135






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,50[25330.7857140.7857140.015714
[50,100[7540.0952380.8809520.001905
[100,150[125000.8809520
[150,200[17520.0476190.9285710.000952
[200,250[225000.9285710
[250,300[275000.9285710
[300,350[325000.9285710
[350,400[375000.9285710
[400,450[425000.9285710
[450,500[47510.023810.9523810.000476
[500,550[52510.023810.976190.000476
[550,600[575000.976190
[600,650[625000.976190
[650,700[675000.976190
[700,750[725000.976190
[750,800[775000.976190
[800,850[825000.976190
[850,900[875000.976190
[900,950[925000.976190
[950,1000[975000.976190
[1000,1050[1025000.976190
[1050,1100[1075000.976190
[1100,1150[1125000.976190
[1150,1200[1175000.976190
[1200,1250[1225000.976190
[1250,1300[1275000.976190
[1300,1350[1325000.976190
[1350,1400[1375000.976190
[1400,1450[1425000.976190
[1450,1500[1475000.976190
[1500,1550[1525000.976190
[1550,1600[1575000.976190
[1600,1650[1625000.976190
[1650,1700[1675000.976190
[1700,1750[1725000.976190
[1750,1800[1775000.976190
[1800,1850[1825000.976190
[1850,1900[1875000.976190
[1900,1950[1925000.976190
[1950,2000[1975000.976190
[2000,2050[2025000.976190
[2050,2100[2075000.976190
[2100,2150[2125000.976190
[2150,2200[2175000.976190
[2200,2250[2225000.976190
[2250,2300[2275000.976190
[2300,2350[2325000.976190
[2350,2400[2375000.976190
[2400,2450[2425000.976190
[2450,2500[2475000.976190
[2500,2550]252510.0238110.000476

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,50[ & 25 & 33 & 0.785714 & 0.785714 & 0.015714 \tabularnewline
[50,100[ & 75 & 4 & 0.095238 & 0.880952 & 0.001905 \tabularnewline
[100,150[ & 125 & 0 & 0 & 0.880952 & 0 \tabularnewline
[150,200[ & 175 & 2 & 0.047619 & 0.928571 & 0.000952 \tabularnewline
[200,250[ & 225 & 0 & 0 & 0.928571 & 0 \tabularnewline
[250,300[ & 275 & 0 & 0 & 0.928571 & 0 \tabularnewline
[300,350[ & 325 & 0 & 0 & 0.928571 & 0 \tabularnewline
[350,400[ & 375 & 0 & 0 & 0.928571 & 0 \tabularnewline
[400,450[ & 425 & 0 & 0 & 0.928571 & 0 \tabularnewline
[450,500[ & 475 & 1 & 0.02381 & 0.952381 & 0.000476 \tabularnewline
[500,550[ & 525 & 1 & 0.02381 & 0.97619 & 0.000476 \tabularnewline
[550,600[ & 575 & 0 & 0 & 0.97619 & 0 \tabularnewline
[600,650[ & 625 & 0 & 0 & 0.97619 & 0 \tabularnewline
[650,700[ & 675 & 0 & 0 & 0.97619 & 0 \tabularnewline
[700,750[ & 725 & 0 & 0 & 0.97619 & 0 \tabularnewline
[750,800[ & 775 & 0 & 0 & 0.97619 & 0 \tabularnewline
[800,850[ & 825 & 0 & 0 & 0.97619 & 0 \tabularnewline
[850,900[ & 875 & 0 & 0 & 0.97619 & 0 \tabularnewline
[900,950[ & 925 & 0 & 0 & 0.97619 & 0 \tabularnewline
[950,1000[ & 975 & 0 & 0 & 0.97619 & 0 \tabularnewline
[1000,1050[ & 1025 & 0 & 0 & 0.97619 & 0 \tabularnewline
[1050,1100[ & 1075 & 0 & 0 & 0.97619 & 0 \tabularnewline
[1100,1150[ & 1125 & 0 & 0 & 0.97619 & 0 \tabularnewline
[1150,1200[ & 1175 & 0 & 0 & 0.97619 & 0 \tabularnewline
[1200,1250[ & 1225 & 0 & 0 & 0.97619 & 0 \tabularnewline
[1250,1300[ & 1275 & 0 & 0 & 0.97619 & 0 \tabularnewline
[1300,1350[ & 1325 & 0 & 0 & 0.97619 & 0 \tabularnewline
[1350,1400[ & 1375 & 0 & 0 & 0.97619 & 0 \tabularnewline
[1400,1450[ & 1425 & 0 & 0 & 0.97619 & 0 \tabularnewline
[1450,1500[ & 1475 & 0 & 0 & 0.97619 & 0 \tabularnewline
[1500,1550[ & 1525 & 0 & 0 & 0.97619 & 0 \tabularnewline
[1550,1600[ & 1575 & 0 & 0 & 0.97619 & 0 \tabularnewline
[1600,1650[ & 1625 & 0 & 0 & 0.97619 & 0 \tabularnewline
[1650,1700[ & 1675 & 0 & 0 & 0.97619 & 0 \tabularnewline
[1700,1750[ & 1725 & 0 & 0 & 0.97619 & 0 \tabularnewline
[1750,1800[ & 1775 & 0 & 0 & 0.97619 & 0 \tabularnewline
[1800,1850[ & 1825 & 0 & 0 & 0.97619 & 0 \tabularnewline
[1850,1900[ & 1875 & 0 & 0 & 0.97619 & 0 \tabularnewline
[1900,1950[ & 1925 & 0 & 0 & 0.97619 & 0 \tabularnewline
[1950,2000[ & 1975 & 0 & 0 & 0.97619 & 0 \tabularnewline
[2000,2050[ & 2025 & 0 & 0 & 0.97619 & 0 \tabularnewline
[2050,2100[ & 2075 & 0 & 0 & 0.97619 & 0 \tabularnewline
[2100,2150[ & 2125 & 0 & 0 & 0.97619 & 0 \tabularnewline
[2150,2200[ & 2175 & 0 & 0 & 0.97619 & 0 \tabularnewline
[2200,2250[ & 2225 & 0 & 0 & 0.97619 & 0 \tabularnewline
[2250,2300[ & 2275 & 0 & 0 & 0.97619 & 0 \tabularnewline
[2300,2350[ & 2325 & 0 & 0 & 0.97619 & 0 \tabularnewline
[2350,2400[ & 2375 & 0 & 0 & 0.97619 & 0 \tabularnewline
[2400,2450[ & 2425 & 0 & 0 & 0.97619 & 0 \tabularnewline
[2450,2500[ & 2475 & 0 & 0 & 0.97619 & 0 \tabularnewline
[2500,2550] & 2525 & 1 & 0.02381 & 1 & 0.000476 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109445&T=1

[TABLE]
[ROW][C]Frequency Table (Histogram)[/C][/ROW]
[ROW][C]Bins[/C][C]Midpoint[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][C]Cumul. Rel. Freq.[/C][C]Density[/C][/ROW]
[ROW][C][0,50[[/C][C]25[/C][C]33[/C][C]0.785714[/C][C]0.785714[/C][C]0.015714[/C][/ROW]
[ROW][C][50,100[[/C][C]75[/C][C]4[/C][C]0.095238[/C][C]0.880952[/C][C]0.001905[/C][/ROW]
[ROW][C][100,150[[/C][C]125[/C][C]0[/C][C]0[/C][C]0.880952[/C][C]0[/C][/ROW]
[ROW][C][150,200[[/C][C]175[/C][C]2[/C][C]0.047619[/C][C]0.928571[/C][C]0.000952[/C][/ROW]
[ROW][C][200,250[[/C][C]225[/C][C]0[/C][C]0[/C][C]0.928571[/C][C]0[/C][/ROW]
[ROW][C][250,300[[/C][C]275[/C][C]0[/C][C]0[/C][C]0.928571[/C][C]0[/C][/ROW]
[ROW][C][300,350[[/C][C]325[/C][C]0[/C][C]0[/C][C]0.928571[/C][C]0[/C][/ROW]
[ROW][C][350,400[[/C][C]375[/C][C]0[/C][C]0[/C][C]0.928571[/C][C]0[/C][/ROW]
[ROW][C][400,450[[/C][C]425[/C][C]0[/C][C]0[/C][C]0.928571[/C][C]0[/C][/ROW]
[ROW][C][450,500[[/C][C]475[/C][C]1[/C][C]0.02381[/C][C]0.952381[/C][C]0.000476[/C][/ROW]
[ROW][C][500,550[[/C][C]525[/C][C]1[/C][C]0.02381[/C][C]0.97619[/C][C]0.000476[/C][/ROW]
[ROW][C][550,600[[/C][C]575[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][600,650[[/C][C]625[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][650,700[[/C][C]675[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][700,750[[/C][C]725[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][750,800[[/C][C]775[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][800,850[[/C][C]825[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][850,900[[/C][C]875[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][900,950[[/C][C]925[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][950,1000[[/C][C]975[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][1000,1050[[/C][C]1025[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][1050,1100[[/C][C]1075[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][1100,1150[[/C][C]1125[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][1150,1200[[/C][C]1175[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][1200,1250[[/C][C]1225[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][1250,1300[[/C][C]1275[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][1300,1350[[/C][C]1325[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][1350,1400[[/C][C]1375[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][1400,1450[[/C][C]1425[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][1450,1500[[/C][C]1475[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][1500,1550[[/C][C]1525[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][1550,1600[[/C][C]1575[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][1600,1650[[/C][C]1625[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][1650,1700[[/C][C]1675[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][1700,1750[[/C][C]1725[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][1750,1800[[/C][C]1775[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][1800,1850[[/C][C]1825[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][1850,1900[[/C][C]1875[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][1900,1950[[/C][C]1925[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][1950,2000[[/C][C]1975[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][2000,2050[[/C][C]2025[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][2050,2100[[/C][C]2075[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][2100,2150[[/C][C]2125[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][2150,2200[[/C][C]2175[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][2200,2250[[/C][C]2225[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][2250,2300[[/C][C]2275[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][2300,2350[[/C][C]2325[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][2350,2400[[/C][C]2375[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][2400,2450[[/C][C]2425[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][2450,2500[[/C][C]2475[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][2500,2550][/C][C]2525[/C][C]1[/C][C]0.02381[/C][C]1[/C][C]0.000476[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=109445&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109445&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:

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,50[25330.7857140.7857140.015714
[50,100[7540.0952380.8809520.001905
[100,150[125000.8809520
[150,200[17520.0476190.9285710.000952
[200,250[225000.9285710
[250,300[275000.9285710
[300,350[325000.9285710
[350,400[375000.9285710
[400,450[425000.9285710
[450,500[47510.023810.9523810.000476
[500,550[52510.023810.976190.000476
[550,600[575000.976190
[600,650[625000.976190
[650,700[675000.976190
[700,750[725000.976190
[750,800[775000.976190
[800,850[825000.976190
[850,900[875000.976190
[900,950[925000.976190
[950,1000[975000.976190
[1000,1050[1025000.976190
[1050,1100[1075000.976190
[1100,1150[1125000.976190
[1150,1200[1175000.976190
[1200,1250[1225000.976190
[1250,1300[1275000.976190
[1300,1350[1325000.976190
[1350,1400[1375000.976190
[1400,1450[1425000.976190
[1450,1500[1475000.976190
[1500,1550[1525000.976190
[1550,1600[1575000.976190
[1600,1650[1625000.976190
[1650,1700[1675000.976190
[1700,1750[1725000.976190
[1750,1800[1775000.976190
[1800,1850[1825000.976190
[1850,1900[1875000.976190
[1900,1950[1925000.976190
[1950,2000[1975000.976190
[2000,2050[2025000.976190
[2050,2100[2075000.976190
[2100,2150[2125000.976190
[2150,2200[2175000.976190
[2200,2250[2225000.976190
[2250,2300[2275000.976190
[2300,2350[2325000.976190
[2350,2400[2375000.976190
[2400,2450[2425000.976190
[2450,2500[2475000.976190
[2500,2550]252510.0238110.000476


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 100 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 100 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
if (par4 == 'Unknown') par1 <- as.numeric(par1)
if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1)
if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5)
if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5)
if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5)
if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5)
if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5)
if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5)
if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5)
if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5)
bitmap(file='test1.png')
if(is.numeric(x[1])) {
if (is.na(par1)) {
myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)
}
} else {
plot(mytab <- table(x),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('histogram.htm','Frequency Table (Histogram)',''),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bins',header=TRUE)
a<-table.element(a,'Midpoint',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
a<-table.element(a,'Density',header=TRUE)
a<-table.row.end(a)
crf <- 0
if (par3 == FALSE) mybracket <- '[' else mybracket <- ']'
mynumrows <- (length(myhist$breaks)-1)
for (i in 1:mynumrows) {
a<-table.row.start(a)
if (i == 1)
dum <- paste('[',myhist$breaks[i],sep='')
else
dum <- paste(mybracket,myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
if (i==mynumrows)
dum <- paste(dum,']',sep='')
else
dum <- paste(dum,mybracket,sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$mids[i])
a<-table.element(a,myhist$counts[i])
rf <- myhist$counts[i]/n
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}