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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_Mixed Model ANOVA.wasp

Title produced by software

Mixed Within-Between Two-Way ANOVA

Date of computation

Mon, 17 Nov 2014 17:50:34 +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/2014/Nov/17/t1416246670zvppmoobal4hy7x.htm/, Retrieved Sun, 19 May 2024 14:12:30 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=255678, Retrieved Sun, 19 May 2024 14:12:30 +0000

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Original text written by user:

linear regression

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)

-     [Chi Square Measure of Association- Free Statistics Software (Calculator)] [One Way ANOVA wit...] [2009-11-29 13:09:19] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   PD  [Chi Square Measure of Association- Free Statistics Software (Calculator)] [One Way ANOVA for...] [2009-12-01 13:05:10] [3fdd735c61ad38cbc9b3393dc997cdb7]
- R P     [Chi Square Measure of Association- Free Statistics Software (Calculator)] [CARE date with Tu...] [2009-12-01 18:33:48] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   P       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [CARE Data with Tu...] [2010-11-23 12:09:38] [3fdd735c61ad38cbc9b3393dc997cdb7]
- RM          [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [IQ and Mothers Age] [2011-11-21 16:34:08] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RM D          [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [workshop 5 q1] [2014-11-17 17:11:46] [a91ace8782d186af36a1ef4124b46fc7]
- RMPD              [Mixed Within-Between Two-Way ANOVA] [workshop 5 q1] [2014-11-17 17:50:34] [e39fc68391dbe44b410b5b37ff76fe51] [Current]
- R  D                [Mixed Within-Between Two-Way ANOVA] [workshop 5 q1] [2014-11-17 18:11:50] [a91ace8782d186af36a1ef4124b46fc7] 

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Dataseries X:

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Histogram

Boxplots

1	3	67	3	36	
2	1	86	6	36	88
3	3	86	8	56	94
4	3	103	8	48	90
5	3	74	7	32	73
6	1	63	5	44	68
7	2	82	7	39	80
8	3	93	8	34	86
9	3	77	9	41	86
10	2	111	9	50	91
11	1	71	3	39	79
12	1	103	9	62	96
13	3	89	7	52	92
14	3	75	9	37	72
15	3	88	8	50	96
16	1	84	6	41	70
17	3	85	7	55	86
18	3	70	8	41	87
19	3	104	9	56	88
20	2	88	7	39	79
21	2	77	6	52	90
22	1	77	8	46	95
23	1	72	7	44	85
24	3	70	7	48	
25	3	83	8	41	90
26	1	110	9	50	115
27	1	91	9	50	84
28	3	80	7	44	79
29	1	91	4	52	94
30	2	86	7	54	97
31	3	85	7	44	86
32	2	107	9	52	111
33	2	93	7	37	87
34	3	87	9	52	98
35	1	84	10	50	87
36	3	73	5	36	68
37	3	84	6	50	88
38	1	86	9	52	82
39	2	99	9	55	111
40	1	75	8	31	75
41	1	87	6	36	94
42	2	79	6	49	95
43	1	82	5	42	80
44	1	95	8	37	95
45	3	84	8	41	68
46	2	85	5	30	94
47	2	95	6	52	88
48	1	63	9	30	84
49	1	78	8	41	
50	1	85	4	44	101
51	1	86	8	66	98
52	2	75	9	48	78
53	3	98	7	43	109
54	3	71	7	57	102
55	3	63	6	46	81
56	3	71	9	54	97
57	2	84	9	48	75
58	2	81	8	48	97
59	2	93	4	52	
60	3	79	6	62	101
61	3	63	10	58	101
62	2	93	8	58	95
63	2	92	7	62	95
64	2	93	7	48	
65	3	83	8	46	95
66	2	80	3	34	90
67	3	111	8	66	107
68	3	92	10	52	92
69	2	79	7	55	86
70	2	69	5	55	70
71	3	83	10	57	95
72	3	80	5	56	96
73	2	91	8	55	91
74	1	97	9	56	87
75	2	85	6	54	92
76	2	85	9	55	97
77	2	99	8	46	102
78	2	67	5	52	91
79	3	87	8	32	68
80	2	68	3	44	88
81	3	81	7	46	97
82	1	80	8	59	90
83	3	93	10	46	101
84	3	93	9	46	94
85	1	102	10	54	101
86	1	104	9	66	109
87	2	90	8	56	100
88	1	85	8	59	103
89	3	92	8	57	94
90	1	82	9	52	97
91	3	85	4	48	85
92	2	89	6	44	75
93	3	77	7	41	77
94	1	79	4	50	87
95	1	76	9	48	78
96	2	101	7	48	108
97	3	81	8	59	97
98	1	92		34	105
99	3	89	8	46	106
100	1	81	7	54	107
101	2	77	7	55	95
102	2	95	9	54	107
103	3	85	8	59	115
104	3	81	8	44	101
105	1	76	9	54	85
106	3	93	9	52	90
107	3	104	10	66	115
108	3	89	7	44	95
109	2	76	8	57	97
110	3	77	5	39	112
111	3	71	9	60	97
112	3	79	8	45	77
113	3	89	7	41	90
114	1	81	8	50	94
115	3	99	8	39	103
116	1	81	7	43	77
117	3	84	6	48	98
118	3	85	7	37	90
119	3	111	7	58	111
120	2	78	6	46	77
121	3	111	6	43	88
122	2	78	7	44	75
123	3	87	9	34	92
124	2	92	6	30	78
125	2	93	10	50	106
126	2	70	4	39	80
127	3	84	8	37	87
128	3	75	7	55	92
129	1	105	10	48	
130	1	96		41	111
131	3	85	5	39	86
132	3	87	9	36	85
133	2	75	8	43	90
134	1	103	9	50	101
135	3	86	8	55	94
136	3	77	8	43	86
137	3	74	9	60	86
138	2	74	8	48	90
139	1	76	9	30	75
140	3	83	7	43	86
141	3	101	6	39	91
142	3	83	8	52	97
143	2	92	6	39	91
144	3	74	5	39	70
145	2	87	3	56	98
146	3	71	6	59	96
147	3	79	8	46	95
148	2	83	7	57	100
149	3	80	8	50	95
150	3	90	6	54	97
151	3	80	9	50	97
152	3	96	9	60	92
153	1	109	10	59	115
154	3	98	7	41	88
155	2	85	5	48	87
156	3	83	8	59	100
157	3	86	9	60	98
158	1	72	8	56	102
159	1	83	8	56	
160	3	75	4	51	96

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	'Sir Maurice George Kendall' @ kendall.wessa.net
R Framework error message	Warning: there are blank lines in the 'Data X' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.
R Engine error message	Error in array(list(1, 3, 67, 3, 36, 2, 1, 86, 6, 36, 88, 3, 3, 86, 8, : length of 'dimnames' [1] not equal to array extent Execution halted

\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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
R Framework error message & Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values. \tabularnewline
R Engine error message & Error in array(list(1, 3, 67, 3, 36, 2, 1, 86, 6, 36, 88, 3, 3, 86, 8,  : 
  length of 'dimnames' [1] not equal to array extent
Execution halted
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=255678&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.[/C][/ROW]
[ROW][C]R Engine error message[/C][C]Error in array(list(1, 3, 67, 3, 36, 2, 1, 86, 6, 36, 88, 3, 3, 86, 8,  : 
  length of 'dimnames' [1] not equal to array extent
Execution halted
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=255678&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=255678&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	'Sir Maurice George Kendall' @ kendall.wessa.net
R Framework error message	Warning: there are blank lines in the 'Data X' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.
R Engine error message	Error in array(list(1, 3, 67, 3, 36, 2, 1, 86, 6, 36, 88, 3, 3, 86, 8, : length of 'dimnames' [1] not equal to array extent Execution halted

Parameters (Session):

par1 = 5 ; par2 = 3 ; par3 = 4 ; par4 = 2 ; par5 = 1 ;

Parameters (R input):

par1 = 5 ; par2 = 3 ; par3 = 4 ; par4 = 2 ; par5 = 1 ;

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

cat1 <- as.numeric(par1) #
cat2<- as.numeric(par2) #
cat3 <- as.numeric(par3)
cat4 <-as.numeric(par4)
cat5 <-as.numeric(par5)
x <- t(x)
x1<-as.numeric(x[,cat1])
wf1<-as.character(x[,cat2])
wf2 <- as.character(x[,cat3])
bf1 <- as.character(x[,cat4])
sid<- as.character(x[,cat5]) # author of ez changed within subjects variable name from sid to wid
xdf<-data.frame(x1,wf1, wf2, bf1, sid)
(V1<-dimnames(y)[[1]][cat1])
(V2<-dimnames(y)[[1]][cat2])
(V3 <-dimnames(y)[[1]][cat3])
(V4 <-dimnames(y)[[1]][cat4])
(V5 <-dimnames(y)[[1]][cat5])
names(xdf)<-c(V1, V2, V3, V4, V5)
library(ez)
library(Cairo)
(ezout <- ezANOVA(data=xdf, dv=.(mean_rt), wid=.(sid), within=.(cue, flanker), between=.(group) ) )
load(file='createtable')
a<-table.start()
nr <- nrow(ezout$ANOVA)
nc <- ncol(ezout$ANOVA)
a<-table.row.start(a)
a<-table.element(a,'Repeated Measures ANOVA', nc+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'effect', 1,TRUE)
a<-table.element(a,'Dfn',1,TRUE)
a<-table.element(a,'DFd', 1,TRUE)
a<-table.element(a, 'F', 1,TRUE)
a<-table.element(a,'p', 1,TRUE)
a<-table.element(a,'p<0.05', 1,TRUE)
a<-table.element(a, 'ges', 1,TRUE) # generalized eta-sq - was partial eta-sq in earlier version
a<-table.row.end(a)
for ( i in 1:nr){
a<-table.row.start(a)
a<-table.element(a,ezout$ANOVA$Effect[i], 1, TRUE)
for(j in 2:nc){
if ( j != 6) # author of ez reduced number of columns in output from 8
a<-table.element(a,round(ezout$ANOVA[[j]][i], digits=3), 1, FALSE)
else a<-table.element(a, ezout$ANOVA[[j]][i], 1, FALSE)
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
nr <- nrow(ezout$Mauchly)
nc <- ncol(ezout$Mauchly)
a<-table.row.start(a)
a<-table.element(a,'Mauchlys Test for Sphericity', nc+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'effect', 1,TRUE)
a<-table.element(a,'W',1,TRUE)
a<-table.element(a,'p', 1,TRUE)
a<-table.element(a,'p<0.05', 1,TRUE)
a<-table.row.end(a)
for ( i in 1:nr){
a<-table.row.start(a)
a<-table.element(a,ezout$Mauchly$Effect[i], 1, TRUE)
for(j in 2:nc){
if (j != 4)
a<-table.element(a,round(ezout$Mauchly[[j]][i], digits = 3), 1, FALSE)
else
a<-table.element(a,ezout$Mauchly[[j]][i], 1, FALSE)
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
nr <- nrow(ezout$Spher)
nc <- ncol(ezout$Sphe)
a<-table.row.start(a)
a<-table.element(a,'Sphericity Corrections', nc+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'effect', 1,TRUE)
a<-table.element(a,'GGe',1,TRUE)
a<-table.element(a,'p[GG]', 1,TRUE)
a<-table.element(a,'p[GG]<0.05', 1,TRUE)
a<-table.element(a,'HFe', 1,TRUE)
a<-table.element(a,'p[HF]', 1,TRUE)
a<-table.element(a,'p[HF]<0.05', 1,TRUE)
a<-table.row.end(a)
for ( i in 1:nr){
a<-table.row.start(a)
a<-table.element(a,ezout$Spher$Effect[i], 1, TRUE)
for(j in 2:nc){
if ( ! ((j == 4) | (j == 7)) )
a<-table.element(a,round(ezout$Spher[[j]][i], digits=3), 1, FALSE)
else
a<-table.element(a,ezout$Spher[[j]][i], 1, FALSE)
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
ezP.between<-ezPlot(data = xdf, dv = .(mean_rt), between = .(group), wid = .(sid), do_lines=FALSE, x_lab='group', y_lab='RT' , x=.(group))
bitmap(file = 'between.cairo')
print(ezP.between)
dev.off()
ezstats_between<-ezStats(data = xdf, dv = .(mean_rt), between =.(group),  wid = .(sid))
a<-table.start()
nr <- nrow(ezstats_between)
nc <- ncol(ezstats_between)
a<-table.row.start(a)
a<-table.element(a,'Between Effects Comparisons', nc+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
for(i in 1:nc){
a<-table.element(a, names(ezstats_between)[i], 1,TRUE)
}
a<-table.row.end(a)
for ( i in 1:nr){
a<-table.row.start(a)
a<-table.element(a,ezstats_between[[1]][i], 1, TRUE)
for(j in 2:nc){
a<-table.element(a,ezstats_between[[j]][i], 1, FALSE)
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable3.tab')
ezP.within<-ezPlot(data = xdf, dv = .(mean_rt), within = .(cue, flanker), wid = .(sid), do_lines=TRUE, x_lab='flanker', y_lab='RT' , x=.(flanker), split=.(cue), split_lab = 'cue')
bitmap(file = 'within.cairo')
print(ezP.within)
dev.off()
ezstats_within <- ezStats(data = xdf, dv = .(mean_rt), within = .(cue, flanker),  wid = .(sid))
a<-table.start()
nr <- nrow(ezstats_within)
nc <- ncol(ezstats_within)
a<-table.row.start(a)
a<-table.element(a,'Within Effects Comparisons', nc+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
for(i in 1:nc){
a<-table.element(a, names(ezstats_within)[i], 1,TRUE)
}
a<-table.row.end(a)
for ( i in 1:nr){
a<-table.row.start(a)
a<-table.element(a,ezstats_within[[1]][i], 1, TRUE)
for(j in 2:nc){
a<-table.element(a, ezstats_within[[j]][i], 1, FALSE)
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable4.tab')

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