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Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Thu, 11 Oct 2012 12:53:13 -0400

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Oct/11/t1349974546mutv0jf76vbhadm.htm/, Retrieved Sat, 27 Apr 2024 18:04:21 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=175169, Retrieved Sat, 27 Apr 2024 18:04:21 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

126

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Univariate Data Series] [Ontvangsten ge�nd...] [2012-10-07 17:57:08] [7e0b1fc7e94581fb4f84255f8aa2fbc5]
- RMP   [Central Tendency] [Centrummaten ontv...] [2012-10-11 15:49:27] [7e0b1fc7e94581fb4f84255f8aa2fbc5]
- RM D    [Mean versus Median] [Gemiddelde versus...] [2012-10-11 16:06:05] [7e0b1fc7e94581fb4f84255f8aa2fbc5]
- RMP       [Histogram] [inkomsten schatki...] [2012-10-11 16:42:04] [7e0b1fc7e94581fb4f84255f8aa2fbc5]
- R P         [Histogram] [frequentietabel s...] [2012-10-11 16:48:19] [7e0b1fc7e94581fb4f84255f8aa2fbc5]
- R               [Histogram] [inkomsten schatki...] [2012-10-11 16:53:13] [1fc6f30e88849aa85fd62e34f240f44c] [Current]

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Dataseries X:

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Histogram

Boxplots

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=175169&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=175169&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=175169&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[4600,4800[	4700	1	0.011905	0.011905	6e-05
[4800,5000[	4900	1	0.011905	0.02381	6e-05
[5000,5200[	5100	1	0.011905	0.035714	6e-05
[5200,5400[	5300	3	0.035714	0.071429	0.000179
[5400,5600[	5500	3	0.035714	0.107143	0.000179
[5600,5800[	5700	5	0.059524	0.166667	0.000298
[5800,6000[	5900	7	0.083333	0.25	0.000417
[6000,6200[	6100	5	0.059524	0.309524	0.000298
[6200,6400[	6300	5	0.059524	0.369048	0.000298
[6400,6600[	6500	2	0.02381	0.392857	0.000119
[6600,6800[	6700	3	0.035714	0.428571	0.000179
[6800,7000[	6900	7	0.083333	0.511905	0.000417
[7000,7200[	7100	1	0.011905	0.52381	6e-05
[7200,7400[	7300	2	0.02381	0.547619	0.000119
[7400,7600[	7500	2	0.02381	0.571429	0.000119
[7600,7800[	7700	3	0.035714	0.607143	0.000179
[7800,8000[	7900	1	0.011905	0.619048	6e-05
[8000,8200[	8100	2	0.02381	0.642857	0.000119
[8200,8400[	8300	1	0.011905	0.654762	6e-05
[8400,8600[	8500	2	0.02381	0.678571	0.000119
[8600,8800[	8700	0	0	0.678571	0
[8800,9000[	8900	1	0.011905	0.690476	6e-05
[9000,9200[	9100	1	0.011905	0.702381	6e-05
[9200,9400[	9300	3	0.035714	0.738095	0.000179
[9400,9600[	9500	1	0.011905	0.75	6e-05
[9600,9800[	9700	0	0	0.75	0
[9800,10000[	9900	2	0.02381	0.77381	0.000119
[10000,10200[	10100	0	0	0.77381	0
[10200,10400[	10300	2	0.02381	0.797619	0.000119
[10400,10600[	10500	0	0	0.797619	0
[10600,10800[	10700	3	0.035714	0.833333	0.000179
[10800,11000[	10900	1	0.011905	0.845238	6e-05
[11000,11200[	11100	1	0.011905	0.857143	6e-05
[11200,11400[	11300	2	0.02381	0.880952	0.000119
[11400,11600[	11500	1	0.011905	0.892857	6e-05
[11600,11800[	11700	1	0.011905	0.904762	6e-05
[11800,12000[	11900	3	0.035714	0.940476	0.000179
[12000,12200[	12100	3	0.035714	0.97619	0.000179
[12200,12400[	12300	1	0.011905	0.988095	6e-05
[12400,12600]	12500	1	0.011905	1	6e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[4600,4800[ & 4700 & 1 & 0.011905 & 0.011905 & 6e-05 \tabularnewline
[4800,5000[ & 4900 & 1 & 0.011905 & 0.02381 & 6e-05 \tabularnewline
[5000,5200[ & 5100 & 1 & 0.011905 & 0.035714 & 6e-05 \tabularnewline
[5200,5400[ & 5300 & 3 & 0.035714 & 0.071429 & 0.000179 \tabularnewline
[5400,5600[ & 5500 & 3 & 0.035714 & 0.107143 & 0.000179 \tabularnewline
[5600,5800[ & 5700 & 5 & 0.059524 & 0.166667 & 0.000298 \tabularnewline
[5800,6000[ & 5900 & 7 & 0.083333 & 0.25 & 0.000417 \tabularnewline
[6000,6200[ & 6100 & 5 & 0.059524 & 0.309524 & 0.000298 \tabularnewline
[6200,6400[ & 6300 & 5 & 0.059524 & 0.369048 & 0.000298 \tabularnewline
[6400,6600[ & 6500 & 2 & 0.02381 & 0.392857 & 0.000119 \tabularnewline
[6600,6800[ & 6700 & 3 & 0.035714 & 0.428571 & 0.000179 \tabularnewline
[6800,7000[ & 6900 & 7 & 0.083333 & 0.511905 & 0.000417 \tabularnewline
[7000,7200[ & 7100 & 1 & 0.011905 & 0.52381 & 6e-05 \tabularnewline
[7200,7400[ & 7300 & 2 & 0.02381 & 0.547619 & 0.000119 \tabularnewline
[7400,7600[ & 7500 & 2 & 0.02381 & 0.571429 & 0.000119 \tabularnewline
[7600,7800[ & 7700 & 3 & 0.035714 & 0.607143 & 0.000179 \tabularnewline
[7800,8000[ & 7900 & 1 & 0.011905 & 0.619048 & 6e-05 \tabularnewline
[8000,8200[ & 8100 & 2 & 0.02381 & 0.642857 & 0.000119 \tabularnewline
[8200,8400[ & 8300 & 1 & 0.011905 & 0.654762 & 6e-05 \tabularnewline
[8400,8600[ & 8500 & 2 & 0.02381 & 0.678571 & 0.000119 \tabularnewline
[8600,8800[ & 8700 & 0 & 0 & 0.678571 & 0 \tabularnewline
[8800,9000[ & 8900 & 1 & 0.011905 & 0.690476 & 6e-05 \tabularnewline
[9000,9200[ & 9100 & 1 & 0.011905 & 0.702381 & 6e-05 \tabularnewline
[9200,9400[ & 9300 & 3 & 0.035714 & 0.738095 & 0.000179 \tabularnewline
[9400,9600[ & 9500 & 1 & 0.011905 & 0.75 & 6e-05 \tabularnewline
[9600,9800[ & 9700 & 0 & 0 & 0.75 & 0 \tabularnewline
[9800,10000[ & 9900 & 2 & 0.02381 & 0.77381 & 0.000119 \tabularnewline
[10000,10200[ & 10100 & 0 & 0 & 0.77381 & 0 \tabularnewline
[10200,10400[ & 10300 & 2 & 0.02381 & 0.797619 & 0.000119 \tabularnewline
[10400,10600[ & 10500 & 0 & 0 & 0.797619 & 0 \tabularnewline
[10600,10800[ & 10700 & 3 & 0.035714 & 0.833333 & 0.000179 \tabularnewline
[10800,11000[ & 10900 & 1 & 0.011905 & 0.845238 & 6e-05 \tabularnewline
[11000,11200[ & 11100 & 1 & 0.011905 & 0.857143 & 6e-05 \tabularnewline
[11200,11400[ & 11300 & 2 & 0.02381 & 0.880952 & 0.000119 \tabularnewline
[11400,11600[ & 11500 & 1 & 0.011905 & 0.892857 & 6e-05 \tabularnewline
[11600,11800[ & 11700 & 1 & 0.011905 & 0.904762 & 6e-05 \tabularnewline
[11800,12000[ & 11900 & 3 & 0.035714 & 0.940476 & 0.000179 \tabularnewline
[12000,12200[ & 12100 & 3 & 0.035714 & 0.97619 & 0.000179 \tabularnewline
[12200,12400[ & 12300 & 1 & 0.011905 & 0.988095 & 6e-05 \tabularnewline
[12400,12600] & 12500 & 1 & 0.011905 & 1 & 6e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=175169&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][4600,4800[[/C][C]4700[/C][C]1[/C][C]0.011905[/C][C]0.011905[/C][C]6e-05[/C][/ROW]
[ROW][C][4800,5000[[/C][C]4900[/C][C]1[/C][C]0.011905[/C][C]0.02381[/C][C]6e-05[/C][/ROW]
[ROW][C][5000,5200[[/C][C]5100[/C][C]1[/C][C]0.011905[/C][C]0.035714[/C][C]6e-05[/C][/ROW]
[ROW][C][5200,5400[[/C][C]5300[/C][C]3[/C][C]0.035714[/C][C]0.071429[/C][C]0.000179[/C][/ROW]
[ROW][C][5400,5600[[/C][C]5500[/C][C]3[/C][C]0.035714[/C][C]0.107143[/C][C]0.000179[/C][/ROW]
[ROW][C][5600,5800[[/C][C]5700[/C][C]5[/C][C]0.059524[/C][C]0.166667[/C][C]0.000298[/C][/ROW]
[ROW][C][5800,6000[[/C][C]5900[/C][C]7[/C][C]0.083333[/C][C]0.25[/C][C]0.000417[/C][/ROW]
[ROW][C][6000,6200[[/C][C]6100[/C][C]5[/C][C]0.059524[/C][C]0.309524[/C][C]0.000298[/C][/ROW]
[ROW][C][6200,6400[[/C][C]6300[/C][C]5[/C][C]0.059524[/C][C]0.369048[/C][C]0.000298[/C][/ROW]
[ROW][C][6400,6600[[/C][C]6500[/C][C]2[/C][C]0.02381[/C][C]0.392857[/C][C]0.000119[/C][/ROW]
[ROW][C][6600,6800[[/C][C]6700[/C][C]3[/C][C]0.035714[/C][C]0.428571[/C][C]0.000179[/C][/ROW]
[ROW][C][6800,7000[[/C][C]6900[/C][C]7[/C][C]0.083333[/C][C]0.511905[/C][C]0.000417[/C][/ROW]
[ROW][C][7000,7200[[/C][C]7100[/C][C]1[/C][C]0.011905[/C][C]0.52381[/C][C]6e-05[/C][/ROW]
[ROW][C][7200,7400[[/C][C]7300[/C][C]2[/C][C]0.02381[/C][C]0.547619[/C][C]0.000119[/C][/ROW]
[ROW][C][7400,7600[[/C][C]7500[/C][C]2[/C][C]0.02381[/C][C]0.571429[/C][C]0.000119[/C][/ROW]
[ROW][C][7600,7800[[/C][C]7700[/C][C]3[/C][C]0.035714[/C][C]0.607143[/C][C]0.000179[/C][/ROW]
[ROW][C][7800,8000[[/C][C]7900[/C][C]1[/C][C]0.011905[/C][C]0.619048[/C][C]6e-05[/C][/ROW]
[ROW][C][8000,8200[[/C][C]8100[/C][C]2[/C][C]0.02381[/C][C]0.642857[/C][C]0.000119[/C][/ROW]
[ROW][C][8200,8400[[/C][C]8300[/C][C]1[/C][C]0.011905[/C][C]0.654762[/C][C]6e-05[/C][/ROW]
[ROW][C][8400,8600[[/C][C]8500[/C][C]2[/C][C]0.02381[/C][C]0.678571[/C][C]0.000119[/C][/ROW]
[ROW][C][8600,8800[[/C][C]8700[/C][C]0[/C][C]0[/C][C]0.678571[/C][C]0[/C][/ROW]
[ROW][C][8800,9000[[/C][C]8900[/C][C]1[/C][C]0.011905[/C][C]0.690476[/C][C]6e-05[/C][/ROW]
[ROW][C][9000,9200[[/C][C]9100[/C][C]1[/C][C]0.011905[/C][C]0.702381[/C][C]6e-05[/C][/ROW]
[ROW][C][9200,9400[[/C][C]9300[/C][C]3[/C][C]0.035714[/C][C]0.738095[/C][C]0.000179[/C][/ROW]
[ROW][C][9400,9600[[/C][C]9500[/C][C]1[/C][C]0.011905[/C][C]0.75[/C][C]6e-05[/C][/ROW]
[ROW][C][9600,9800[[/C][C]9700[/C][C]0[/C][C]0[/C][C]0.75[/C][C]0[/C][/ROW]
[ROW][C][9800,10000[[/C][C]9900[/C][C]2[/C][C]0.02381[/C][C]0.77381[/C][C]0.000119[/C][/ROW]
[ROW][C][10000,10200[[/C][C]10100[/C][C]0[/C][C]0[/C][C]0.77381[/C][C]0[/C][/ROW]
[ROW][C][10200,10400[[/C][C]10300[/C][C]2[/C][C]0.02381[/C][C]0.797619[/C][C]0.000119[/C][/ROW]
[ROW][C][10400,10600[[/C][C]10500[/C][C]0[/C][C]0[/C][C]0.797619[/C][C]0[/C][/ROW]
[ROW][C][10600,10800[[/C][C]10700[/C][C]3[/C][C]0.035714[/C][C]0.833333[/C][C]0.000179[/C][/ROW]
[ROW][C][10800,11000[[/C][C]10900[/C][C]1[/C][C]0.011905[/C][C]0.845238[/C][C]6e-05[/C][/ROW]
[ROW][C][11000,11200[[/C][C]11100[/C][C]1[/C][C]0.011905[/C][C]0.857143[/C][C]6e-05[/C][/ROW]
[ROW][C][11200,11400[[/C][C]11300[/C][C]2[/C][C]0.02381[/C][C]0.880952[/C][C]0.000119[/C][/ROW]
[ROW][C][11400,11600[[/C][C]11500[/C][C]1[/C][C]0.011905[/C][C]0.892857[/C][C]6e-05[/C][/ROW]
[ROW][C][11600,11800[[/C][C]11700[/C][C]1[/C][C]0.011905[/C][C]0.904762[/C][C]6e-05[/C][/ROW]
[ROW][C][11800,12000[[/C][C]11900[/C][C]3[/C][C]0.035714[/C][C]0.940476[/C][C]0.000179[/C][/ROW]
[ROW][C][12000,12200[[/C][C]12100[/C][C]3[/C][C]0.035714[/C][C]0.97619[/C][C]0.000179[/C][/ROW]
[ROW][C][12200,12400[[/C][C]12300[/C][C]1[/C][C]0.011905[/C][C]0.988095[/C][C]6e-05[/C][/ROW]
[ROW][C][12400,12600][/C][C]12500[/C][C]1[/C][C]0.011905[/C][C]1[/C][C]6e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=175169&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=175169&T=1

As an alternative you can also use a QR Code:

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

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[4600,4800[	4700	1	0.011905	0.011905	6e-05
[4800,5000[	4900	1	0.011905	0.02381	6e-05
[5000,5200[	5100	1	0.011905	0.035714	6e-05
[5200,5400[	5300	3	0.035714	0.071429	0.000179
[5400,5600[	5500	3	0.035714	0.107143	0.000179
[5600,5800[	5700	5	0.059524	0.166667	0.000298
[5800,6000[	5900	7	0.083333	0.25	0.000417
[6000,6200[	6100	5	0.059524	0.309524	0.000298
[6200,6400[	6300	5	0.059524	0.369048	0.000298
[6400,6600[	6500	2	0.02381	0.392857	0.000119
[6600,6800[	6700	3	0.035714	0.428571	0.000179
[6800,7000[	6900	7	0.083333	0.511905	0.000417
[7000,7200[	7100	1	0.011905	0.52381	6e-05
[7200,7400[	7300	2	0.02381	0.547619	0.000119
[7400,7600[	7500	2	0.02381	0.571429	0.000119
[7600,7800[	7700	3	0.035714	0.607143	0.000179
[7800,8000[	7900	1	0.011905	0.619048	6e-05
[8000,8200[	8100	2	0.02381	0.642857	0.000119
[8200,8400[	8300	1	0.011905	0.654762	6e-05
[8400,8600[	8500	2	0.02381	0.678571	0.000119
[8600,8800[	8700	0	0	0.678571	0
[8800,9000[	8900	1	0.011905	0.690476	6e-05
[9000,9200[	9100	1	0.011905	0.702381	6e-05
[9200,9400[	9300	3	0.035714	0.738095	0.000179
[9400,9600[	9500	1	0.011905	0.75	6e-05
[9600,9800[	9700	0	0	0.75	0
[9800,10000[	9900	2	0.02381	0.77381	0.000119
[10000,10200[	10100	0	0	0.77381	0
[10200,10400[	10300	2	0.02381	0.797619	0.000119
[10400,10600[	10500	0	0	0.797619	0
[10600,10800[	10700	3	0.035714	0.833333	0.000179
[10800,11000[	10900	1	0.011905	0.845238	6e-05
[11000,11200[	11100	1	0.011905	0.857143	6e-05
[11200,11400[	11300	2	0.02381	0.880952	0.000119
[11400,11600[	11500	1	0.011905	0.892857	6e-05
[11600,11800[	11700	1	0.011905	0.904762	6e-05
[11800,12000[	11900	3	0.035714	0.940476	0.000179
[12000,12200[	12100	3	0.035714	0.97619	0.000179
[12200,12400[	12300	1	0.011905	0.988095	6e-05
[12400,12600]	12500	1	0.011905	1	6e-05

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 12 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 30 ; 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')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code