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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

Thu, 14 Dec 2017 17:09:09 +0100

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/2017/Dec/14/t1513267858cxmaavkw7u6m3og.htm/, Retrieved Mon, 13 May 2024 22:19:14 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=309548, Retrieved Mon, 13 May 2024 22:19:14 +0000

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Estimated Impact

131

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-       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Anova] [2017-12-14 16:09:09] [e3ae876b7ee0a8c2582bae547f35f1b8] [Current]

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Dataseries X:

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Histogram

Boxplots

94,8	93,7
95,4	94,8
96,1	96,2
88,7	87,1
91,2	91,6
91,0	88,7
96,6	96,6
91,9	92,1
94,5	92,8
91,8	91,9
96,3	95,1
90,0	89,9
97,0	96,3
97,4	95,5
93,4	94,0
95,0	95,6
95,2	95,3
95,5	94,5
94,3	93,3
94,7	92,4
95,6	95,8
92,4	92,7
91,6	92,0
92,7	92,8
94,6	94,6
94,0	94,2
97,0	96,9
96,6	96,3
93,4	92,3
94,3	92,9
93,7	94,1
91,9	92,6
92,6	92,9
102,8	100,9
92,6	90,6
94,7	94,3
92,3	89,7
95,5	95,9
94,5	93,7
91,2	89,4
96,8	95,9
96,7	96,9
98,0	97,4
92,5	90,7
92,4	92,6
95,0	94,6
94,9	95,0
93,6	93,7
95,7	95,9
94,2	94,1
93,9	92,8
99,9	97,3
94,7	95,0
92,6	90,1
98,3	97,6
93,8	93,6
93,7	93,7
102,3	100,4
99,2	99,0
93,9	93,8
94,7	95,0
90,9	88,5
92,4	92,6
96,9	97,0
95,3	93,6
84,2	82,5
97,4	97,4
94,7	92,6
92,2	92,5
90,5	88,6
97,0	96,9
93,7	93,9
93,8	94,1
93,7	93,2
95,6	96,2
95,9	94,2
96,3	97,4
94,3	94,3
95,8	94,4
99,0	97,1
94,2	91,7
91,5	91,9
93,2	93,4
94,5	94,8
95,3	94,1
93,3	93,9
92,5	90,7
97,1	96,8
95,1	95,9
95,0	95,1
90,2	88,2
90,0	87,7
95,4	94,8
96,1	95,8
92,6	93,2
93,4	93,6
97,4	94,8
96,2	96,0
93,6	93,5
94,1	93,5
96,8	96,5
90,1	87,6
94,6	95,6
93,9	94,0
91,7	89,2
95,7	95,4
98,1	97,9
94,9	94,7
91,4	88,8
94,5	92,0
95,6	95,9
92,4	93,0
99,3	99,4
93,3	93,5
95,0	95,1
99,7	99,5
97,0	97,0
95,7	95,9
94,6	94,9
95,7	95,9
92,3	90,2
91,4	90,3
89,5	87,5
94,7	91,8
95,8	94,5
98,9	98,4
95,1	95,5
93,1	93,2
90,2	90,2
97,3	97,5
89,8	87,8
94,6	93,0
94,7	94,4
94,0	94,4
88,7	89,3
94,0	92,6
96,4	96,4
95,7	95,9
93,4	93,7
97,3	97,0
92,0	91,5
95,5	96,1
93,9	93,9
96,6	96,2
98,0	96,1
94,5	94,8
95,5	95,3
93,3	93,4
94,8	95,0
92,2	90,1
96,7	95,0
94,4	94,9
94,3	93,6
94,5	94,9
90,4	88,1
96,1	95,0
97,5	97,7
93,1	93,3
95,0	94,4
91,6	89,3
93,8	93,9
95,2	95,3
94,8	94,9
93,7	93,1
93,6	93,5
93,6	93,4
93,9	94,2
95,5	94,9
93,8	93,5
94,4	93,9
94,0	93,8
95,7	93,8
93,1	93,1
93,6	95,0
96,0	96,0
94,8	94,4
94,9	95,2
94,6	95,1
89,2	86,3
91,6	91,9
95,3	95,7
95,5	95,6
95,1	95,1
95,9	96,0
97,8	97,8
97,2	94,3
100,6	98,5
93,3	92,2
89,9	90,4
97,5	96,1
92,9	91,3
94,1	94,1
97,6	97,2
101,6	100,8
94,2	94,5
92,7	90,4
93,6	94,0
92,2	92,8
94,2	92,8
92,0	89,5
94,1	94,2
96,0	95,6
94,5	94,5
93,4	93,0
94,5	95,1
91,9	90,0
93,5	93,6
95,8	96,5
93,8	94,2
96,0	96,5
90,8	89,8
88,9	87,3
95,0	95,7
92,4	92,5
94,9	94,4
94,8	92,7
89,6	90,7
94,9	95,2
95,5	96,2
96,1	96,4
95,6	94,3
97,7	98,4
93,9	94,3
95,5	95,4
92,7	92,6
92,0	90,4
95,7	94,0
94,8	93,9
95,8	96,8
92,4	90,7
94,3	92,8
95,6	93,9
93,1	93,5
97,3	96,6
97,7	98,2
98,6	96,7
91,4	89,0
84,5	82,1
94,2	94,6
92,8	92,8
91,9	89,6
93,0	91,1
96,5	95,3
93,5	93,9
96,6	96,9
94,7	95,3
92,9	93,3
94,0	94,7
94,9	94,1
96,7	96,5
90,1	87,9
90,9	91,5
90,8	90,6
93,0	92,3
96,8	95,1
97,4	96,5
89,7	90,2
93,9	94,4
92,0	89,9
95,9	95,4
93,6	93,2
90,8	88,8
94,1	92,4
94,3	94,5
97,5	97,7
98,5	96,6
96,0	95,0
91,4	89,4
96,7	95,1
94,3	94,8
96,6	96,2
85,1	83,1
91,7	89,9
91,0	88,6
91,8	91,8
89,9	90,3
91,6	91,7
89,2	89,3
88,7	88,7
88,2	89,4
94,0	92,3
95,9	96,1
91,0	90,9
100,8	99,0
95,5	95,3
94,9	94,4
96,5	94,4
95,3	95,5
98,4	96,4
95,3	95,8
94,2	94,4
94,3	94,6
99,1	99,3
94,1	93,7
96,4	95,3
95,0	95,1
90,1	90,3
91,6	91,3
93,8	92,4
94,2	92,9
92,8	93,1
94,5	94,6
94,4	93,1
94,6	94,7
95,1	95,4
95,8	95,2
91,9	91,1
96,0	95,8
94,9	95,1
94,6	94,6
94,1	92,1
96,5	95,6
93,3	91,5
95,9	95,1
92,7	92,3
92,0	89,8
90,9	88,8
91,7	92,5
95,4	96,3
94,6	92,8
96,7	96,9
94,7	93,8
95,5	93,6
95,4	93,6
96,9	95,9
93,6	93,4
94,7	93,8
96,0	96,0
91,1	89,0
93,7	93,6
94,8	95,6
92,2	90,5
95,3	95,7
95,0	95,2
93,1	93,1
93,7	93,9
96,8	96,0
98,7	98,6
93,9	93,5
95,3	92,4
92,1	92,3
98,5	96,5
91,1	89,2
94,9	93,0
93,6	94,0
95,9	95,9
97,3	96,9
91,9	90,2
91,7	89,6
97,2	95,6
93,4	93,7
95,9	95,9
96,7	96,9
95,6	96,1
94,6	93,4
96,0	95,8
95,2	95,2
92,4	93,2
97,9	96,0
95,4	95,8
96,2	96,2
97,2	95,8
93,3	93,8
96,1	94,5
95,6	94,7
93,9	93,6
94,2	94,9
98,7	95,7
98,0	98,0

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	Big Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time3 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=309548&T=0

[TABLE]
[ROW]

Summary of computational transaction[/C][/ROW] [ROW]

Raw Input[/C]

view raw input (R code) [/C][/ROW] [ROW]

Raw Output[/C]

view raw output of R engine [/C][/ROW] [ROW]

Computing time[/C]

3 seconds[/C][/ROW] [ROW]

R Server[/C]

Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=309548&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309548&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	3 seconds
R Server	Big Analytics Cloud Computing Center

ANOVA Model
Response ~ Treatment
means	102.3	101.6	102.8	84.5	84.2	85.1	89.2	88.7	88.9	89.5	90.1	90	89.8	90.1	90.4	90.2	90.9	90.75	89.85	91.033	91.25	91.4	89.833	90.267	92	91.8	92.3	91.4	91.233	91.9	92.4	91.025	90.467	91.533	92.2	91.7	91.75	91	92.45	92.25	92.067	91.2	92.9	93.25	91.633	93.05	93	93.3	93.04	94.475	92.1	93.017	93.6	93.65	93.7	93.825	93.42	93.08	93.433	93.66	93.629	94.311	93.929	94.383	94.078	94.04	94.333	94.34	95.14	94.87	95.067	94.533	94.775	95.25	94.667	95.187	95.436	95.16	95.571	95.55	95.933	95.657	96.075	95.943	95.864	96.467	96.5	96.1	96.333	96.967	96.867	97.467	98.6	96.45	96.857	97.067	99	97.6	99.9	97.233	97.3	98.3	97.5	97.8	98.1	98	97.7	98.3	100.6	98.7	100	99.1	99.3	99.7

\begin{tabular}{lllllllll}
\hline
ANOVA Model \tabularnewline
Response  ~  Treatment \tabularnewline
means & 102.3 & 101.6 & 102.8 & 84.5 & 84.2 & 85.1 & 89.2 & 88.7 & 88.9 & 89.5 & 90.1 & 90 & 89.8 & 90.1 & 90.4 & 90.2 & 90.9 & 90.75 & 89.85 & 91.033 & 91.25 & 91.4 & 89.833 & 90.267 & 92 & 91.8 & 92.3 & 91.4 & 91.233 & 91.9 & 92.4 & 91.025 & 90.467 & 91.533 & 92.2 & 91.7 & 91.75 & 91 & 92.45 & 92.25 & 92.067 & 91.2 & 92.9 & 93.25 & 91.633 & 93.05 & 93 & 93.3 & 93.04 & 94.475 & 92.1 & 93.017 & 93.6 & 93.65 & 93.7 & 93.825 & 93.42 & 93.08 & 93.433 & 93.66 & 93.629 & 94.311 & 93.929 & 94.383 & 94.078 & 94.04 & 94.333 & 94.34 & 95.14 & 94.87 & 95.067 & 94.533 & 94.775 & 95.25 & 94.667 & 95.187 & 95.436 & 95.16 & 95.571 & 95.55 & 95.933 & 95.657 & 96.075 & 95.943 & 95.864 & 96.467 & 96.5 & 96.1 & 96.333 & 96.967 & 96.867 & 97.467 & 98.6 & 96.45 & 96.857 & 97.067 & 99 & 97.6 & 99.9 & 97.233 & 97.3 & 98.3 & 97.5 & 97.8 & 98.1 & 98 & 97.7 & 98.3 & 100.6 & 98.7 & 100 & 99.1 & 99.3 & 99.7 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=309548&T=1

[TABLE]
[ROW]ANOVA Model[/C][/ROW]
[ROW]Response  ~  Treatment[/C][/ROW]
[ROW][C]means[/C][C]102.3[/C][C]101.6[/C][C]102.8[/C][C]84.5[/C][C]84.2[/C][C]85.1[/C][C]89.2[/C][C]88.7[/C][C]88.9[/C][C]89.5[/C][C]90.1[/C][C]90[/C][C]89.8[/C][C]90.1[/C][C]90.4[/C][C]90.2[/C][C]90.9[/C][C]90.75[/C][C]89.85[/C][C]91.033[/C][C]91.25[/C][C]91.4[/C][C]89.833[/C][C]90.267[/C][C]92[/C][C]91.8[/C][C]92.3[/C][C]91.4[/C][C]91.233[/C][C]91.9[/C][C]92.4[/C][C]91.025[/C][C]90.467[/C][C]91.533[/C][C]92.2[/C][C]91.7[/C][C]91.75[/C][C]91[/C][C]92.45[/C][C]92.25[/C][C]92.067[/C][C]91.2[/C][C]92.9[/C][C]93.25[/C][C]91.633[/C][C]93.05[/C][C]93[/C][C]93.3[/C][C]93.04[/C][C]94.475[/C][C]92.1[/C][C]93.017[/C][C]93.6[/C][C]93.65[/C][C]93.7[/C][C]93.825[/C][C]93.42[/C][C]93.08[/C][C]93.433[/C][C]93.66[/C][C]93.629[/C][C]94.311[/C][C]93.929[/C][C]94.383[/C][C]94.078[/C][C]94.04[/C][C]94.333[/C][C]94.34[/C][C]95.14[/C][C]94.87[/C][C]95.067[/C][C]94.533[/C][C]94.775[/C][C]95.25[/C][C]94.667[/C][C]95.187[/C][C]95.436[/C][C]95.16[/C][C]95.571[/C][C]95.55[/C][C]95.933[/C][C]95.657[/C][C]96.075[/C][C]95.943[/C][C]95.864[/C][C]96.467[/C][C]96.5[/C][C]96.1[/C][C]96.333[/C][C]96.967[/C][C]96.867[/C][C]97.467[/C][C]98.6[/C][C]96.45[/C][C]96.857[/C][C]97.067[/C][C]99[/C][C]97.6[/C][C]99.9[/C][C]97.233[/C][C]97.3[/C][C]98.3[/C][C]97.5[/C][C]97.8[/C][C]98.1[/C][C]98[/C][C]97.7[/C][C]98.3[/C][C]100.6[/C][C]98.7[/C][C]100[/C][C]99.1[/C][C]99.3[/C][C]99.7[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=309548&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309548&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
Response ~ Treatment
means	102.3	101.6	102.8	84.5	84.2	85.1	89.2	88.7	88.9	89.5	90.1	90	89.8	90.1	90.4	90.2	90.9	90.75	89.85	91.033	91.25	91.4	89.833	90.267	92	91.8	92.3	91.4	91.233	91.9	92.4	91.025	90.467	91.533	92.2	91.7	91.75	91	92.45	92.25	92.067	91.2	92.9	93.25	91.633	93.05	93	93.3	93.04	94.475	92.1	93.017	93.6	93.65	93.7	93.825	93.42	93.08	93.433	93.66	93.629	94.311	93.929	94.383	94.078	94.04	94.333	94.34	95.14	94.87	95.067	94.533	94.775	95.25	94.667	95.187	95.436	95.16	95.571	95.55	95.933	95.657	96.075	95.943	95.864	96.467	96.5	96.1	96.333	96.967	96.867	97.467	98.6	96.45	96.857	97.067	99	97.6	99.9	97.233	97.3	98.3	97.5	97.8	98.1	98	97.7	98.3	100.6	98.7	100	99.1	99.3	99.7

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
Treatment	114	3287798.043	28840.334	36625.554	0
Residuals	255	200.797	0.787

\begin{tabular}{lllllllll}
\hline
ANOVA Statistics \tabularnewline
  & Df & Sum Sq & Mean Sq & F value & Pr(>F) \tabularnewline
Treatment & 114 & 3287798.043 & 28840.334 & 36625.554 & 0 \tabularnewline
Residuals & 255 & 200.797 & 0.787 &   &   \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=309548&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]Treatment[/C][C]114[/C][C]3287798.043[/C][C]28840.334[/C][C]36625.554[/C][C]0[/C][/ROW]
[ROW][C]Residuals[/C][C]255[/C][C]200.797[/C][C]0.787[/C][C] [/C][C] [/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=309548&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309548&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)
Treatment	114	3287798.043	28840.334	36625.554	0
Residuals	255	200.797	0.787

Must Include Intercept to use Tukey Test

\begin{tabular}{lllllllll}
\hline
Must Include Intercept to use Tukey Test  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=309548&T=3

[TABLE]
[ROW][C]Must Include Intercept to use Tukey Test [/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=309548&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309548&T=3

As an alternative you can also use a QR Code:

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

Must Include Intercept to use Tukey Test

Levenes Test for Homogeneity of Variance
	Df	F value	Pr(>F)
Group	113	0.807	0.903
	255

\begin{tabular}{lllllllll}
\hline
Levenes Test for Homogeneity of Variance \tabularnewline
  & Df & F value & Pr(>F) \tabularnewline
Group & 113 & 0.807 & 0.903 \tabularnewline
  & 255 &   &   \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=309548&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]113[/C][C]0.807[/C][C]0.903[/C][/ROW]
[ROW][C] [/C][C]255[/C][C] [/C][C] [/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=309548&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309548&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	113	0.807	0.903
	255

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 1 ; par2 = 2 ; par3 = FALSE ;

Parameters (R input):

par1 = 1 ; par2 = 2 ; par3 = FALSE ;

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

par3 <- 'FALSE'
par2 <- '2'
par1 <- '1'
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