Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_One Factor ANOVA.wasp

Title produced by software

One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)

Date of computation

Fri, 22 Jan 2016 08:55:23 +0000

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/2016/Jan/22/t1453452962wd1ma2jhvuzhatj.htm/, Retrieved Wed, 08 May 2024 02:40:47 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=290542, Retrieved Wed, 08 May 2024 02:40:47 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

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

-       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [vraag 6] [2016-01-22 08:55:23] [cfaf8b267de0e5ab2f5a4d8878a61d03] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	4 seconds
R Server	'Sir Maurice George Kendall' @ kendall.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 & 4 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=290542&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=290542&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=290542&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	4 seconds
R Server	'Sir Maurice George Kendall' @ kendall.wessa.net

ANOVA Model
Geslacht ~ Gebgewicht
means	0	0.5	1	1	0.333	0	0	0.667	1	0.5	1

\begin{tabular}{lllllllll}
\hline
ANOVA Model \tabularnewline
Geslacht  ~  Gebgewicht \tabularnewline
means & 0 & 0.5 & 1 & 1 & 0.333 & 0 & 0 & 0.667 & 1 & 0.5 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=290542&T=1

[TABLE]
[ROW][C]ANOVA Model[/C][/ROW]
[ROW][C]Geslacht  ~  Gebgewicht[/C][/ROW]
[ROW][C]means[/C][C]0[/C][C]0.5[/C][C]1[/C][C]1[/C][C]0.333[/C][C]0[/C][C]0[/C][C]0.667[/C][C]1[/C][C]0.5[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=290542&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=290542&T=1

As an alternative you can also use a QR Code:

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

ANOVA Model
Geslacht ~ Gebgewicht
means	0	0.5	1	1	0.333	0	0	0.667	1	0.5	1

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
Gebgewicht	10	2.667	0.267	1.029	0.488
Residuals	9	2.333	0.259

\begin{tabular}{lllllllll}
\hline
ANOVA Statistics \tabularnewline
  & Df & Sum Sq & Mean Sq & F value & Pr(>F) \tabularnewline
Gebgewicht & 10 & 2.667 & 0.267 & 1.029 & 0.488 \tabularnewline
Residuals & 9 & 2.333 & 0.259 &   &   \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=290542&T=2

[TABLE]
[ROW][C]ANOVA Statistics[/C][/ROW]
[ROW][C] [/C][C]Df[/C][C]Sum Sq[/C][C]Mean Sq[/C][C]F value[/C][C]Pr(>F)[/C][/ROW]
[ROW][C]Gebgewicht[/C][C]10[/C][C]2.667[/C][C]0.267[/C][C]1.029[/C][C]0.488[/C][/ROW]
[ROW][C]Residuals[/C][C]9[/C][C]2.333[/C][C]0.259[/C][C] [/C][C] [/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=290542&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=290542&T=2

As an alternative you can also use a QR Code:

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

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
Gebgewicht	10	2.667	0.267	1.029	0.488
Residuals	9	2.333	0.259

Tukey Honest Significant Difference Comparisons
	diff	lwr	upr	p adj
2.8-2.7	0.5	-2.087	3.087	0.998
3-2.7	1	-1.987	3.987	0.924
3.2-2.7	1	-1.987	3.987	0.924
3.3-2.7	0.333	-2.106	2.772	1
3.4-2.7	0	-2.987	2.987	1
3.5-2.7	0	-2.439	2.439	1
3.6-2.7	0.667	-1.772	3.106	0.976
3.7-2.7	1	-1.587	3.587	0.848
3.8-2.7	0.5	-2.087	3.087	0.998
4.3-2.7	1	-1.987	3.987	0.924
3-2.8	0.5	-2.087	3.087	0.998
3.2-2.8	0.5	-2.087	3.087	0.998
3.3-2.8	-0.167	-2.095	1.762	1
3.4-2.8	-0.5	-3.087	2.087	0.998
3.5-2.8	-0.5	-2.428	1.428	0.983
3.6-2.8	0.167	-1.762	2.095	1
3.7-2.8	0.5	-1.612	2.612	0.991
3.8-2.8	0	-2.112	2.112	1
4.3-2.8	0.5	-2.087	3.087	0.998
3.2-3	0	-2.987	2.987	1
3.3-3	-0.667	-3.106	1.772	0.976
3.4-3	-1	-3.987	1.987	0.924
3.5-3	-1	-3.439	1.439	0.806
3.6-3	-0.333	-2.772	2.106	1
3.7-3	0	-2.587	2.587	1
3.8-3	-0.5	-3.087	2.087	0.998
4.3-3	0	-2.987	2.987	1
3.3-3.2	-0.667	-3.106	1.772	0.976
3.4-3.2	-1	-3.987	1.987	0.924
3.5-3.2	-1	-3.439	1.439	0.806
3.6-3.2	-0.333	-2.772	2.106	1
3.7-3.2	0	-2.587	2.587	1
3.8-3.2	-0.5	-3.087	2.087	0.998
4.3-3.2	0	-2.987	2.987	1
3.4-3.3	-0.333	-2.772	2.106	1
3.5-3.3	-0.333	-2.058	1.391	0.998
3.6-3.3	0.333	-1.391	2.058	0.998
3.7-3.3	0.667	-1.262	2.595	0.91
3.8-3.3	0.167	-1.762	2.095	1
4.3-3.3	0.667	-1.772	3.106	0.976
3.5-3.4	0	-2.439	2.439	1
3.6-3.4	0.667	-1.772	3.106	0.976
3.7-3.4	1	-1.587	3.587	0.848
3.8-3.4	0.5	-2.087	3.087	0.998
4.3-3.4	1	-1.987	3.987	0.924
3.6-3.5	0.667	-1.058	2.391	0.848
3.7-3.5	1	-0.928	2.928	0.575
3.8-3.5	0.5	-1.428	2.428	0.983
4.3-3.5	1	-1.439	3.439	0.806
3.7-3.6	0.333	-1.595	2.262	0.999
3.8-3.6	-0.167	-2.095	1.762	1
4.3-3.6	0.333	-2.106	2.772	1
3.8-3.7	-0.5	-2.612	1.612	0.991
4.3-3.7	0	-2.587	2.587	1
4.3-3.8	0.5	-2.087	3.087	0.998

\begin{tabular}{lllllllll}
\hline
Tukey Honest Significant Difference Comparisons \tabularnewline
  & diff & lwr & upr & p adj \tabularnewline
2.8-2.7 & 0.5 & -2.087 & 3.087 & 0.998 \tabularnewline
3-2.7 & 1 & -1.987 & 3.987 & 0.924 \tabularnewline
3.2-2.7 & 1 & -1.987 & 3.987 & 0.924 \tabularnewline
3.3-2.7 & 0.333 & -2.106 & 2.772 & 1 \tabularnewline
3.4-2.7 & 0 & -2.987 & 2.987 & 1 \tabularnewline
3.5-2.7 & 0 & -2.439 & 2.439 & 1 \tabularnewline
3.6-2.7 & 0.667 & -1.772 & 3.106 & 0.976 \tabularnewline
3.7-2.7 & 1 & -1.587 & 3.587 & 0.848 \tabularnewline
3.8-2.7 & 0.5 & -2.087 & 3.087 & 0.998 \tabularnewline
4.3-2.7 & 1 & -1.987 & 3.987 & 0.924 \tabularnewline
3-2.8 & 0.5 & -2.087 & 3.087 & 0.998 \tabularnewline
3.2-2.8 & 0.5 & -2.087 & 3.087 & 0.998 \tabularnewline
3.3-2.8 & -0.167 & -2.095 & 1.762 & 1 \tabularnewline
3.4-2.8 & -0.5 & -3.087 & 2.087 & 0.998 \tabularnewline
3.5-2.8 & -0.5 & -2.428 & 1.428 & 0.983 \tabularnewline
3.6-2.8 & 0.167 & -1.762 & 2.095 & 1 \tabularnewline
3.7-2.8 & 0.5 & -1.612 & 2.612 & 0.991 \tabularnewline
3.8-2.8 & 0 & -2.112 & 2.112 & 1 \tabularnewline
4.3-2.8 & 0.5 & -2.087 & 3.087 & 0.998 \tabularnewline
3.2-3 & 0 & -2.987 & 2.987 & 1 \tabularnewline
3.3-3 & -0.667 & -3.106 & 1.772 & 0.976 \tabularnewline
3.4-3 & -1 & -3.987 & 1.987 & 0.924 \tabularnewline
3.5-3 & -1 & -3.439 & 1.439 & 0.806 \tabularnewline
3.6-3 & -0.333 & -2.772 & 2.106 & 1 \tabularnewline
3.7-3 & 0 & -2.587 & 2.587 & 1 \tabularnewline
3.8-3 & -0.5 & -3.087 & 2.087 & 0.998 \tabularnewline
4.3-3 & 0 & -2.987 & 2.987 & 1 \tabularnewline
3.3-3.2 & -0.667 & -3.106 & 1.772 & 0.976 \tabularnewline
3.4-3.2 & -1 & -3.987 & 1.987 & 0.924 \tabularnewline
3.5-3.2 & -1 & -3.439 & 1.439 & 0.806 \tabularnewline
3.6-3.2 & -0.333 & -2.772 & 2.106 & 1 \tabularnewline
3.7-3.2 & 0 & -2.587 & 2.587 & 1 \tabularnewline
3.8-3.2 & -0.5 & -3.087 & 2.087 & 0.998 \tabularnewline
4.3-3.2 & 0 & -2.987 & 2.987 & 1 \tabularnewline
3.4-3.3 & -0.333 & -2.772 & 2.106 & 1 \tabularnewline
3.5-3.3 & -0.333 & -2.058 & 1.391 & 0.998 \tabularnewline
3.6-3.3 & 0.333 & -1.391 & 2.058 & 0.998 \tabularnewline
3.7-3.3 & 0.667 & -1.262 & 2.595 & 0.91 \tabularnewline
3.8-3.3 & 0.167 & -1.762 & 2.095 & 1 \tabularnewline
4.3-3.3 & 0.667 & -1.772 & 3.106 & 0.976 \tabularnewline
3.5-3.4 & 0 & -2.439 & 2.439 & 1 \tabularnewline
3.6-3.4 & 0.667 & -1.772 & 3.106 & 0.976 \tabularnewline
3.7-3.4 & 1 & -1.587 & 3.587 & 0.848 \tabularnewline
3.8-3.4 & 0.5 & -2.087 & 3.087 & 0.998 \tabularnewline
4.3-3.4 & 1 & -1.987 & 3.987 & 0.924 \tabularnewline
3.6-3.5 & 0.667 & -1.058 & 2.391 & 0.848 \tabularnewline
3.7-3.5 & 1 & -0.928 & 2.928 & 0.575 \tabularnewline
3.8-3.5 & 0.5 & -1.428 & 2.428 & 0.983 \tabularnewline
4.3-3.5 & 1 & -1.439 & 3.439 & 0.806 \tabularnewline
3.7-3.6 & 0.333 & -1.595 & 2.262 & 0.999 \tabularnewline
3.8-3.6 & -0.167 & -2.095 & 1.762 & 1 \tabularnewline
4.3-3.6 & 0.333 & -2.106 & 2.772 & 1 \tabularnewline
3.8-3.7 & -0.5 & -2.612 & 1.612 & 0.991 \tabularnewline
4.3-3.7 & 0 & -2.587 & 2.587 & 1 \tabularnewline
4.3-3.8 & 0.5 & -2.087 & 3.087 & 0.998 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=290542&T=3

[TABLE]
[ROW][C]Tukey Honest Significant Difference Comparisons[/C][/ROW]
[ROW][C] [/C][C]diff[/C][C]lwr[/C][C]upr[/C][C]p adj[/C][/ROW]
[ROW][C]2.8-2.7[/C][C]0.5[/C][C]-2.087[/C][C]3.087[/C][C]0.998[/C][/ROW]
[ROW][C]3-2.7[/C][C]1[/C][C]-1.987[/C][C]3.987[/C][C]0.924[/C][/ROW]
[ROW][C]3.2-2.7[/C][C]1[/C][C]-1.987[/C][C]3.987[/C][C]0.924[/C][/ROW]
[ROW][C]3.3-2.7[/C][C]0.333[/C][C]-2.106[/C][C]2.772[/C][C]1[/C][/ROW]
[ROW][C]3.4-2.7[/C][C]0[/C][C]-2.987[/C][C]2.987[/C][C]1[/C][/ROW]
[ROW][C]3.5-2.7[/C][C]0[/C][C]-2.439[/C][C]2.439[/C][C]1[/C][/ROW]
[ROW][C]3.6-2.7[/C][C]0.667[/C][C]-1.772[/C][C]3.106[/C][C]0.976[/C][/ROW]
[ROW][C]3.7-2.7[/C][C]1[/C][C]-1.587[/C][C]3.587[/C][C]0.848[/C][/ROW]
[ROW][C]3.8-2.7[/C][C]0.5[/C][C]-2.087[/C][C]3.087[/C][C]0.998[/C][/ROW]
[ROW][C]4.3-2.7[/C][C]1[/C][C]-1.987[/C][C]3.987[/C][C]0.924[/C][/ROW]
[ROW][C]3-2.8[/C][C]0.5[/C][C]-2.087[/C][C]3.087[/C][C]0.998[/C][/ROW]
[ROW][C]3.2-2.8[/C][C]0.5[/C][C]-2.087[/C][C]3.087[/C][C]0.998[/C][/ROW]
[ROW][C]3.3-2.8[/C][C]-0.167[/C][C]-2.095[/C][C]1.762[/C][C]1[/C][/ROW]
[ROW][C]3.4-2.8[/C][C]-0.5[/C][C]-3.087[/C][C]2.087[/C][C]0.998[/C][/ROW]
[ROW][C]3.5-2.8[/C][C]-0.5[/C][C]-2.428[/C][C]1.428[/C][C]0.983[/C][/ROW]
[ROW][C]3.6-2.8[/C][C]0.167[/C][C]-1.762[/C][C]2.095[/C][C]1[/C][/ROW]
[ROW][C]3.7-2.8[/C][C]0.5[/C][C]-1.612[/C][C]2.612[/C][C]0.991[/C][/ROW]
[ROW][C]3.8-2.8[/C][C]0[/C][C]-2.112[/C][C]2.112[/C][C]1[/C][/ROW]
[ROW][C]4.3-2.8[/C][C]0.5[/C][C]-2.087[/C][C]3.087[/C][C]0.998[/C][/ROW]
[ROW][C]3.2-3[/C][C]0[/C][C]-2.987[/C][C]2.987[/C][C]1[/C][/ROW]
[ROW][C]3.3-3[/C][C]-0.667[/C][C]-3.106[/C][C]1.772[/C][C]0.976[/C][/ROW]
[ROW][C]3.4-3[/C][C]-1[/C][C]-3.987[/C][C]1.987[/C][C]0.924[/C][/ROW]
[ROW][C]3.5-3[/C][C]-1[/C][C]-3.439[/C][C]1.439[/C][C]0.806[/C][/ROW]
[ROW][C]3.6-3[/C][C]-0.333[/C][C]-2.772[/C][C]2.106[/C][C]1[/C][/ROW]
[ROW][C]3.7-3[/C][C]0[/C][C]-2.587[/C][C]2.587[/C][C]1[/C][/ROW]
[ROW][C]3.8-3[/C][C]-0.5[/C][C]-3.087[/C][C]2.087[/C][C]0.998[/C][/ROW]
[ROW][C]4.3-3[/C][C]0[/C][C]-2.987[/C][C]2.987[/C][C]1[/C][/ROW]
[ROW][C]3.3-3.2[/C][C]-0.667[/C][C]-3.106[/C][C]1.772[/C][C]0.976[/C][/ROW]
[ROW][C]3.4-3.2[/C][C]-1[/C][C]-3.987[/C][C]1.987[/C][C]0.924[/C][/ROW]
[ROW][C]3.5-3.2[/C][C]-1[/C][C]-3.439[/C][C]1.439[/C][C]0.806[/C][/ROW]
[ROW][C]3.6-3.2[/C][C]-0.333[/C][C]-2.772[/C][C]2.106[/C][C]1[/C][/ROW]
[ROW][C]3.7-3.2[/C][C]0[/C][C]-2.587[/C][C]2.587[/C][C]1[/C][/ROW]
[ROW][C]3.8-3.2[/C][C]-0.5[/C][C]-3.087[/C][C]2.087[/C][C]0.998[/C][/ROW]
[ROW][C]4.3-3.2[/C][C]0[/C][C]-2.987[/C][C]2.987[/C][C]1[/C][/ROW]
[ROW][C]3.4-3.3[/C][C]-0.333[/C][C]-2.772[/C][C]2.106[/C][C]1[/C][/ROW]
[ROW][C]3.5-3.3[/C][C]-0.333[/C][C]-2.058[/C][C]1.391[/C][C]0.998[/C][/ROW]
[ROW][C]3.6-3.3[/C][C]0.333[/C][C]-1.391[/C][C]2.058[/C][C]0.998[/C][/ROW]
[ROW][C]3.7-3.3[/C][C]0.667[/C][C]-1.262[/C][C]2.595[/C][C]0.91[/C][/ROW]
[ROW][C]3.8-3.3[/C][C]0.167[/C][C]-1.762[/C][C]2.095[/C][C]1[/C][/ROW]
[ROW][C]4.3-3.3[/C][C]0.667[/C][C]-1.772[/C][C]3.106[/C][C]0.976[/C][/ROW]
[ROW][C]3.5-3.4[/C][C]0[/C][C]-2.439[/C][C]2.439[/C][C]1[/C][/ROW]
[ROW][C]3.6-3.4[/C][C]0.667[/C][C]-1.772[/C][C]3.106[/C][C]0.976[/C][/ROW]
[ROW][C]3.7-3.4[/C][C]1[/C][C]-1.587[/C][C]3.587[/C][C]0.848[/C][/ROW]
[ROW][C]3.8-3.4[/C][C]0.5[/C][C]-2.087[/C][C]3.087[/C][C]0.998[/C][/ROW]
[ROW][C]4.3-3.4[/C][C]1[/C][C]-1.987[/C][C]3.987[/C][C]0.924[/C][/ROW]
[ROW][C]3.6-3.5[/C][C]0.667[/C][C]-1.058[/C][C]2.391[/C][C]0.848[/C][/ROW]
[ROW][C]3.7-3.5[/C][C]1[/C][C]-0.928[/C][C]2.928[/C][C]0.575[/C][/ROW]
[ROW][C]3.8-3.5[/C][C]0.5[/C][C]-1.428[/C][C]2.428[/C][C]0.983[/C][/ROW]
[ROW][C]4.3-3.5[/C][C]1[/C][C]-1.439[/C][C]3.439[/C][C]0.806[/C][/ROW]
[ROW][C]3.7-3.6[/C][C]0.333[/C][C]-1.595[/C][C]2.262[/C][C]0.999[/C][/ROW]
[ROW][C]3.8-3.6[/C][C]-0.167[/C][C]-2.095[/C][C]1.762[/C][C]1[/C][/ROW]
[ROW][C]4.3-3.6[/C][C]0.333[/C][C]-2.106[/C][C]2.772[/C][C]1[/C][/ROW]
[ROW][C]3.8-3.7[/C][C]-0.5[/C][C]-2.612[/C][C]1.612[/C][C]0.991[/C][/ROW]
[ROW][C]4.3-3.7[/C][C]0[/C][C]-2.587[/C][C]2.587[/C][C]1[/C][/ROW]
[ROW][C]4.3-3.8[/C][C]0.5[/C][C]-2.087[/C][C]3.087[/C][C]0.998[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=290542&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=290542&T=3

As an alternative you can also use a QR Code:

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

Tukey Honest Significant Difference Comparisons
	diff	lwr	upr	p adj
2.8-2.7	0.5	-2.087	3.087	0.998
3-2.7	1	-1.987	3.987	0.924
3.2-2.7	1	-1.987	3.987	0.924
3.3-2.7	0.333	-2.106	2.772	1
3.4-2.7	0	-2.987	2.987	1
3.5-2.7	0	-2.439	2.439	1
3.6-2.7	0.667	-1.772	3.106	0.976
3.7-2.7	1	-1.587	3.587	0.848
3.8-2.7	0.5	-2.087	3.087	0.998
4.3-2.7	1	-1.987	3.987	0.924
3-2.8	0.5	-2.087	3.087	0.998
3.2-2.8	0.5	-2.087	3.087	0.998
3.3-2.8	-0.167	-2.095	1.762	1
3.4-2.8	-0.5	-3.087	2.087	0.998
3.5-2.8	-0.5	-2.428	1.428	0.983
3.6-2.8	0.167	-1.762	2.095	1
3.7-2.8	0.5	-1.612	2.612	0.991
3.8-2.8	0	-2.112	2.112	1
4.3-2.8	0.5	-2.087	3.087	0.998
3.2-3	0	-2.987	2.987	1
3.3-3	-0.667	-3.106	1.772	0.976
3.4-3	-1	-3.987	1.987	0.924
3.5-3	-1	-3.439	1.439	0.806
3.6-3	-0.333	-2.772	2.106	1
3.7-3	0	-2.587	2.587	1
3.8-3	-0.5	-3.087	2.087	0.998
4.3-3	0	-2.987	2.987	1
3.3-3.2	-0.667	-3.106	1.772	0.976
3.4-3.2	-1	-3.987	1.987	0.924
3.5-3.2	-1	-3.439	1.439	0.806
3.6-3.2	-0.333	-2.772	2.106	1
3.7-3.2	0	-2.587	2.587	1
3.8-3.2	-0.5	-3.087	2.087	0.998
4.3-3.2	0	-2.987	2.987	1
3.4-3.3	-0.333	-2.772	2.106	1
3.5-3.3	-0.333	-2.058	1.391	0.998
3.6-3.3	0.333	-1.391	2.058	0.998
3.7-3.3	0.667	-1.262	2.595	0.91
3.8-3.3	0.167	-1.762	2.095	1
4.3-3.3	0.667	-1.772	3.106	0.976
3.5-3.4	0	-2.439	2.439	1
3.6-3.4	0.667	-1.772	3.106	0.976
3.7-3.4	1	-1.587	3.587	0.848
3.8-3.4	0.5	-2.087	3.087	0.998
4.3-3.4	1	-1.987	3.987	0.924
3.6-3.5	0.667	-1.058	2.391	0.848
3.7-3.5	1	-0.928	2.928	0.575
3.8-3.5	0.5	-1.428	2.428	0.983
4.3-3.5	1	-1.439	3.439	0.806
3.7-3.6	0.333	-1.595	2.262	0.999
3.8-3.6	-0.167	-2.095	1.762	1
4.3-3.6	0.333	-2.106	2.772	1
3.8-3.7	-0.5	-2.612	1.612	0.991
4.3-3.7	0	-2.587	2.587	1
4.3-3.8	0.5	-2.087	3.087	0.998

Levenes Test for Homogeneity of Variance
	Df	F value	Pr(>F)
Group	10	0.585	0.792
	9

\begin{tabular}{lllllllll}
\hline
Levenes Test for Homogeneity of Variance \tabularnewline
  & Df & F value & Pr(>F) \tabularnewline
Group & 10 & 0.585 & 0.792 \tabularnewline
  & 9 &   &   \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=290542&T=4

[TABLE]
[ROW][C]Levenes Test for Homogeneity of Variance[/C][/ROW]
[ROW][C] [/C][C]Df[/C][C]F value[/C][C]Pr(>F)[/C][/ROW]
[ROW][C]Group[/C][C]10[/C][C]0.585[/C][C]0.792[/C][/ROW]
[ROW][C] [/C][C]9[/C][C] [/C][C] [/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=290542&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=290542&T=4

As an alternative you can also use a QR Code:

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

Levenes Test for Homogeneity of Variance
	Df	F value	Pr(>F)
Group	10	0.585	0.792
	9

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

Parameters (R input):

par1 = 1 ; par2 = 2 ; par3 = TRUE ;

R code (references can be found in the software module):

cat1 <- as.numeric(par1) #
cat2<- as.numeric(par2) #
intercept<-as.logical(par3)
x <- t(x)
x1<-as.numeric(x[,cat1])
f1<-as.character(x[,cat2])
xdf<-data.frame(x1,f1)
(V1<-dimnames(y)[[1]][cat1])
(V2<-dimnames(y)[[1]][cat2])
names(xdf)<-c('Response', 'Treatment')
if(intercept == FALSE) (lmxdf<-lm(Response ~ Treatment - 1, data = xdf) ) else (lmxdf<-lm(Response ~ Treatment, data = xdf) )
(aov.xdf<-aov(lmxdf) )
(anova.xdf<-anova(lmxdf) )
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'ANOVA Model', length(lmxdf$coefficients)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, paste(V1, ' ~ ', V2), length(lmxdf$coefficients)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'means',,TRUE)
for(i in 1:length(lmxdf$coefficients)){
a<-table.element(a, round(lmxdf$coefficients[i], digits=3),,FALSE)
}
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'ANOVA Statistics', 5+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, ' ',,TRUE)
a<-table.element(a, 'Df',,FALSE)
a<-table.element(a, 'Sum Sq',,FALSE)
a<-table.element(a, 'Mean Sq',,FALSE)
a<-table.element(a, 'F value',,FALSE)
a<-table.element(a, 'Pr(>F)',,FALSE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, V2,,TRUE)
a<-table.element(a, anova.xdf$Df[1],,FALSE)
a<-table.element(a, round(anova.xdf$'Sum Sq'[1], digits=3),,FALSE)
a<-table.element(a, round(anova.xdf$'Mean Sq'[1], digits=3),,FALSE)
a<-table.element(a, round(anova.xdf$'F value'[1], digits=3),,FALSE)
a<-table.element(a, round(anova.xdf$'Pr(>F)'[1], digits=3),,FALSE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residuals',,TRUE)
a<-table.element(a, anova.xdf$Df[2],,FALSE)
a<-table.element(a, round(anova.xdf$'Sum Sq'[2], digits=3),,FALSE)
a<-table.element(a, round(anova.xdf$'Mean Sq'[2], digits=3),,FALSE)
a<-table.element(a, ' ',,FALSE)
a<-table.element(a, ' ',,FALSE)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
bitmap(file='anovaplot.png')
boxplot(Response ~ Treatment, data=xdf, xlab=V2, ylab=V1)
dev.off()
if(intercept==TRUE){
'Tukey Plot'
thsd<-TukeyHSD(aov.xdf)
bitmap(file='TukeyHSDPlot.png')
plot(thsd)
dev.off()
}
if(intercept==TRUE){
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Tukey Honest Significant Difference Comparisons', 5,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, ' ', 1, TRUE)
for(i in 1:4){
a<-table.element(a,colnames(thsd[[1]])[i], 1, TRUE)
}
a<-table.row.end(a)
for(i in 1:length(rownames(thsd[[1]]))){
a<-table.row.start(a)
a<-table.element(a,rownames(thsd[[1]])[i], 1, TRUE)
for(j in 1:4){
a<-table.element(a,round(thsd[[1]][i,j], digits=3), 1, FALSE)
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
}
if(intercept==FALSE){
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'TukeyHSD Message', 1,TRUE)
a<-table.row.end(a)
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Must Include Intercept to use Tukey Test ', 1, FALSE)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable2.tab')
}
library(car)
lt.lmxdf<-leveneTest(lmxdf)
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Levenes Test for Homogeneity of Variance', 4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ', 1, TRUE)
for (i in 1:3){
a<-table.element(a,names(lt.lmxdf)[i], 1, FALSE)
}
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Group', 1, TRUE)
for (i in 1:3){
a<-table.element(a,round(lt.lmxdf[[i]][1], digits=3), 1, FALSE)
}
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ', 1, TRUE)
a<-table.element(a,lt.lmxdf[[1]][2], 1, FALSE)
a<-table.element(a,' ', 1, FALSE)
a<-table.element(a,' ', 1, FALSE)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code