Wessa.net

Send output to:

Data X:
1 88 3 94 3 90 3 73 1 68 2 80 3 86 3 86 2 91 1 79 1 96 3 92 3 72 3 96 1 70 3 86 3 87 3 88 2 79 2 90 1 95 1 85 1 115 1 84 3 79 1 94 2 97 3 86 2 111 2 87 3 98 1 87 3 68 3 88 1 82 2 111 1 75 1 94 2 95 1 80 1 95 3 68 2 94 2 88 1 84 1 101 1 98 2 78 3 109 3 102 3 81 3 97 2 75 2 97 3 101 3 101 2 95 2 95 3 95 2 90 3 107 3 92 2 86 2 70 3 95 3 96 2 91 1 87 2 92 2 97 2 102 2 91 3 68 2 88 3 97 1 90 3 101 3 94 1 101 1 109 2 100 1 103 3 94 1 97 3 85 2 75 3 77 1 87 1 78 2 108 3 97 1 105 3 106 1 107 2 95 2 107 3 115 3 101 1 85 3 90 3 115 3 95 2 97 3 112 3 97 3 77 3 90 1 94 3 103 1 77 3 98 3 90 3 111 2 77 3 88 2 75 3 92 2 78 2 106 2 80 3 87 3 92 1 111 3 86 3 85 2 90 1 101 3 94 3 86 3 86 2 90 1 75 3 86 3 91 3 97 2 91 3 70 2 98 3 96 3 95 2 100 3 95 3 97 3 97 3 92 1 115 3 88 2 87 3 100 3 98 1 102 3 96
Names of X columns:
MOMAGE WISCRY7V
Response Variable (column number)


Factor Variable (column number)


Include Intercept Term ?


Chart options


Title:
Label y-axis:
Label x-axis:

R Code
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){ 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<-levene.test(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')

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
MOMAGE ~ WISCRY7V
means	2.333	-0.19	-0.333	-0.333	-1.333	0.167	-0.333	-0.333	-0.333	-0.333	0.667	-0.333	0.167	-0.333	0.667	0.667	-0.733	-0.083	-0.667	-0.333	-0.667	0.667	-1.333	-1.333	-0.333	0.556	-0.476	0.095	0	-0.133	0.5	-0.208	-0.061	0.267	0.167	0.067

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
WISCRY7V	35	23.616	0.675	1.005	0.473
Residuals	116	77.858	0.671

Tukey Honest Significant Difference Comparisons
	diff	lwr	upr	p adj
101-100	-0.19	-2.418	2.037	1
102-100	-0.333	-2.969	2.302	1
103-100	-0.333	-3.28	2.613	1
105-100	-1.333	-5.061	2.394	1
106-100	0.167	-2.78	3.113	1
107-100	-0.333	-2.969	2.302	1
108-100	-0.333	-4.061	3.394	1
109-100	-0.333	-3.28	2.613	1
111-100	-0.333	-2.799	2.132	1
112-100	0.667	-3.061	4.394	1
115-100	-0.333	-2.799	2.132	1
68-100	0.167	-2.299	2.632	1
70-100	-0.333	-2.969	2.302	1
72-100	0.667	-3.061	4.394	1
73-100	0.667	-3.061	4.394	1
75-100	-0.733	-3.091	1.624	1
77-100	-0.083	-2.549	2.382	1
78-100	-0.667	-3.302	1.969	1
79-100	-0.333	-2.969	2.302	1
80-100	-0.667	-3.302	1.969	1
81-100	0.667	-3.061	4.394	1
82-100	-1.333	-5.061	2.394	1
84-100	-1.333	-4.28	1.613	0.998
85-100	-0.333	-2.799	2.132	1
86-100	0.556	-1.596	2.708	1
87-100	-0.476	-2.704	1.751	1
88-100	0.095	-2.132	2.323	1
90-100	0	-2.152	2.152	1
91-100	-0.133	-2.491	2.224	1
92-100	0.5	-1.783	2.783	1
94-100	-0.208	-2.394	1.977	1
95-100	-0.061	-2.163	2.042	1
96-100	0.267	-2.091	2.624	1
97-100	0.167	-1.917	2.25	1
98-100	0.067	-2.291	2.424	1
102-101	-0.143	-2.37	2.085	1
103-101	-0.143	-2.731	2.445	1
105-101	-1.143	-4.594	2.308	1
106-101	0.357	-2.231	2.945	1
107-101	-0.143	-2.37	2.085	1
108-101	-0.143	-3.594	3.308	1
109-101	-0.143	-2.731	2.445	1
111-101	-0.143	-2.166	1.88	1
112-101	0.857	-2.594	4.308	1
115-101	-0.143	-2.166	1.88	1
68-101	0.357	-1.666	2.38	1
70-101	-0.143	-2.37	2.085	1
72-101	0.857	-2.594	4.308	1
73-101	0.857	-2.594	4.308	1
75-101	-0.543	-2.433	1.347	1
77-101	0.107	-1.916	2.13	1
78-101	-0.476	-2.704	1.751	1
79-101	-0.143	-2.37	2.085	1
80-101	-0.476	-2.704	1.751	1
81-101	0.857	-2.594	4.308	1
82-101	-1.143	-4.594	2.308	1
84-101	-1.143	-3.731	1.445	0.999
85-101	-0.143	-2.166	1.88	1
86-101	0.746	-0.881	2.373	0.998
87-101	-0.286	-2.011	1.44	1
88-101	0.286	-1.44	2.011	1
90-101	0.19	-1.436	1.817	1
91-101	0.057	-1.833	1.947	1
92-101	0.69	-1.105	2.486	1
94-101	-0.018	-1.689	1.653	1
95-101	0.13	-1.431	1.691	1
96-101	0.457	-1.433	2.347	1
97-101	0.357	-1.178	1.892	1
98-101	0.257	-1.633	2.147	1
103-102	0	-2.947	2.947	1
105-102	-1	-4.727	2.727	1
106-102	0.5	-2.447	3.447	1
107-102	0	-2.636	2.636	1
108-102	0	-3.727	3.727	1
109-102	0	-2.947	2.947	1
111-102	0	-2.465	2.465	1
112-102	1	-2.727	4.727	1
115-102	0	-2.465	2.465	1
68-102	0.5	-1.965	2.965	1
70-102	0	-2.636	2.636	1
72-102	1	-2.727	4.727	1
73-102	1	-2.727	4.727	1
75-102	-0.4	-2.757	1.957	1
77-102	0.25	-2.215	2.715	1
78-102	-0.333	-2.969	2.302	1
79-102	0	-2.636	2.636	1
80-102	-0.333	-2.969	2.302	1
81-102	1	-2.727	4.727	1
82-102	-1	-4.727	2.727	1
84-102	-1	-3.947	1.947	1
85-102	0	-2.465	2.465	1
86-102	0.889	-1.263	3.041	1
87-102	-0.143	-2.37	2.085	1
88-102	0.429	-1.799	2.656	1
90-102	0.333	-1.819	2.485	1
91-102	0.2	-2.157	2.557	1
92-102	0.833	-1.449	3.116	1
94-102	0.125	-2.06	2.31	1
95-102	0.273	-1.83	2.375	1
96-102	0.6	-1.757	2.957	1
97-102	0.5	-1.584	2.584	1
98-102	0.4	-1.957	2.757	1
105-103	-1	-4.954	2.954	1
106-103	0.5	-2.728	3.728	1
107-103	0	-2.947	2.947	1
108-103	0	-3.954	3.954	1
109-103	0	-3.228	3.228	1
111-103	0	-2.796	2.796	1
112-103	1	-2.954	4.954	1
115-103	0	-2.796	2.796	1
68-103	0.5	-2.296	3.296	1
70-103	0	-2.947	2.947	1
72-103	1	-2.954	4.954	1
73-103	1	-2.954	4.954	1
75-103	-0.4	-3.101	2.301	1
77-103	0.25	-2.546	3.046	1
78-103	-0.333	-3.28	2.613	1
79-103	0	-2.947	2.947	1
80-103	-0.333	-3.28	2.613	1
81-103	1	-2.954	4.954	1
82-103	-1	-4.954	2.954	1
84-103	-1	-4.228	2.228	1
85-103	0	-2.796	2.796	1
86-103	0.889	-1.635	3.412	1
87-103	-0.143	-2.731	2.445	1
88-103	0.429	-2.16	3.017	1
90-103	0.333	-2.19	2.857	1
91-103	0.2	-2.501	2.901	1
92-103	0.833	-1.802	3.469	1
94-103	0.125	-2.427	2.677	1
95-103	0.273	-2.209	2.754	1
96-103	0.6	-2.101	3.301	1
97-103	0.5	-1.965	2.965	1
98-103	0.4	-2.301	3.101	1
106-105	1.5	-2.454	5.454	1
107-105	1	-2.727	4.727	1
108-105	1	-3.565	5.565	1
109-105	1	-2.954	4.954	1
111-105	1	-2.609	4.609	1
112-105	2	-2.565	6.565	0.999
115-105	1	-2.609	4.609	1
68-105	1.5	-2.109	5.109	1
70-105	1	-2.727	4.727	1
72-105	2	-2.565	6.565	0.999
73-105	2	-2.565	6.565	0.999
75-105	0.6	-2.936	4.136	1
77-105	1.25	-2.359	4.859	1
78-105	0.667	-3.061	4.394	1
79-105	1	-2.727	4.727	1
80-105	0.667	-3.061	4.394	1
81-105	2	-2.565	6.565	0.999
82-105	0	-4.565	4.565	1
84-105	0	-3.954	3.954	1
85-105	1	-2.609	4.609	1
86-105	1.889	-1.514	5.292	0.961
87-105	0.857	-2.594	4.308	1
88-105	1.429	-2.022	4.879	1
90-105	1.333	-2.069	4.736	1
91-105	1.2	-2.336	4.736	1
92-105	1.833	-1.653	5.32	0.981
94-105	1.125	-2.299	4.549	1
95-105	1.273	-2.099	4.644	1
96-105	1.6	-1.936	5.136	0.998
97-105	1.5	-1.86	4.86	0.999
98-105	1.4	-2.136	4.936	1
107-106	-0.5	-3.447	2.447	1
108-106	-0.5	-4.454	3.454	1
109-106	-0.5	-3.728	2.728	1
111-106	-0.5	-3.296	2.296	1
112-106	0.5	-3.454	4.454	1
115-106	-0.5	-3.296	2.296	1
68-106	0	-2.796	2.796	1
70-106	-0.5	-3.447	2.447	1
72-106	0.5	-3.454	4.454	1
73-106	0.5	-3.454	4.454	1
75-106	-0.9	-3.601	1.801	1
77-106	-0.25	-3.046	2.546	1
78-106	-0.833	-3.78	2.113	1
79-106	-0.5	-3.447	2.447	1
80-106	-0.833	-3.78	2.113	1
81-106	0.5	-3.454	4.454	1
82-106	-1.5	-5.454	2.454	1
84-106	-1.5	-4.728	1.728	0.997
85-106	-0.5	-3.296	2.296	1
86-106	0.389	-2.135	2.912	1
87-106	-0.643	-3.231	1.945	1
88-106	-0.071	-2.66	2.517	1
90-106	-0.167	-2.69	2.357	1
91-106	-0.3	-3.001	2.401	1
92-106	0.333	-2.302	2.969	1
94-106	-0.375	-2.927	2.177	1
95-106	-0.227	-2.709	2.254	1
96-106	0.1	-2.601	2.801	1
97-106	0	-2.465	2.465	1
98-106	-0.1	-2.801	2.601	1
108-107	0	-3.727	3.727	1
109-107	0	-2.947	2.947	1
111-107	0	-2.465	2.465	1
112-107	1	-2.727	4.727	1
115-107	0	-2.465	2.465	1
68-107	0.5	-1.965	2.965	1
70-107	0	-2.636	2.636	1
72-107	1	-2.727	4.727	1
73-107	1	-2.727	4.727	1
75-107	-0.4	-2.757	1.957	1
77-107	0.25	-2.215	2.715	1
78-107	-0.333	-2.969	2.302	1
79-107	0	-2.636	2.636	1
80-107	-0.333	-2.969	2.302	1
81-107	1	-2.727	4.727	1
82-107	-1	-4.727	2.727	1
84-107	-1	-3.947	1.947	1
85-107	0	-2.465	2.465	1
86-107	0.889	-1.263	3.041	1
87-107	-0.143	-2.37	2.085	1
88-107	0.429	-1.799	2.656	1
90-107	0.333	-1.819	2.485	1
91-107	0.2	-2.157	2.557	1
92-107	0.833	-1.449	3.116	1
94-107	0.125	-2.06	2.31	1
95-107	0.273	-1.83	2.375	1
96-107	0.6	-1.757	2.957	1
97-107	0.5	-1.584	2.584	1
98-107	0.4	-1.957	2.757	1
109-108	0	-3.954	3.954	1
111-108	0	-3.609	3.609	1
112-108	1	-3.565	5.565	1
115-108	0	-3.609	3.609	1
68-108	0.5	-3.109	4.109	1
70-108	0	-3.727	3.727	1
72-108	1	-3.565	5.565	1
73-108	1	-3.565	5.565	1
75-108	-0.4	-3.936	3.136	1
77-108	0.25	-3.359	3.859	1
78-108	-0.333	-4.061	3.394	1
79-108	0	-3.727	3.727	1
80-108	-0.333	-4.061	3.394	1
81-108	1	-3.565	5.565	1
82-108	-1	-5.565	3.565	1
84-108	-1	-4.954	2.954	1
85-108	0	-3.609	3.609	1
86-108	0.889	-2.514	4.292	1
87-108	-0.143	-3.594	3.308	1
88-108	0.429	-3.022	3.879	1
90-108	0.333	-3.069	3.736	1
91-108	0.2	-3.336	3.736	1
92-108	0.833	-2.653	4.32	1
94-108	0.125	-3.299	3.549	1
95-108	0.273	-3.099	3.644	1
96-108	0.6	-2.936	4.136	1
97-108	0.5	-2.86	3.86	1
98-108	0.4	-3.136	3.936	1
111-109	0	-2.796	2.796	1
112-109	1	-2.954	4.954	1
115-109	0	-2.796	2.796	1
68-109	0.5	-2.296	3.296	1
70-109	0	-2.947	2.947	1
72-109	1	-2.954	4.954	1
73-109	1	-2.954	4.954	1
75-109	-0.4	-3.101	2.301	1
77-109	0.25	-2.546	3.046	1
78-109	-0.333	-3.28	2.613	1
79-109	0	-2.947	2.947	1
80-109	-0.333	-3.28	2.613	1
81-109	1	-2.954	4.954	1
82-109	-1	-4.954	2.954	1
84-109	-1	-4.228	2.228	1
85-109	0	-2.796	2.796	1
86-109	0.889	-1.635	3.412	1
87-109	-0.143	-2.731	2.445	1
88-109	0.429	-2.16	3.017	1
90-109	0.333	-2.19	2.857	1
91-109	0.2	-2.501	2.901	1
92-109	0.833	-1.802	3.469	1
94-109	0.125	-2.427	2.677	1
95-109	0.273	-2.209	2.754	1
96-109	0.6	-2.101	3.301	1
97-109	0.5	-1.965	2.965	1
98-109	0.4	-2.301	3.101	1
112-111	1	-2.609	4.609	1
115-111	0	-2.283	2.283	1
68-111	0.5	-1.783	2.783	1
70-111	0	-2.465	2.465	1
72-111	1	-2.609	4.609	1
73-111	1	-2.609	4.609	1
75-111	-0.4	-2.565	1.765	1
77-111	0.25	-2.033	2.533	1
78-111	-0.333	-2.799	2.132	1
79-111	0	-2.465	2.465	1
80-111	-0.333	-2.799	2.132	1
81-111	1	-2.609	4.609	1
82-111	-1	-4.609	2.609	1
84-111	-1	-3.796	1.796	1
85-111	0	-2.283	2.283	1
86-111	0.889	-1.051	2.829	0.998
87-111	-0.143	-2.166	1.88	1
88-111	0.429	-1.595	2.452	1
90-111	0.333	-1.606	2.273	1
91-111	0.2	-1.965	2.365	1
92-111	0.833	-1.25	2.917	1
94-111	0.125	-1.852	2.102	1
95-111	0.273	-1.612	2.157	1
96-111	0.6	-1.565	2.765	1
97-111	0.5	-1.364	2.364	1
98-111	0.4	-1.765	2.565	1
115-112	-1	-4.609	2.609	1
68-112	-0.5	-4.109	3.109	1
70-112	-1	-4.727	2.727	1
72-112	0	-4.565	4.565	1
73-112	0	-4.565	4.565	1
75-112	-1.4	-4.936	2.136	1
77-112	-0.75	-4.359	2.859	1
78-112	-1.333	-5.061	2.394	1
79-112	-1	-4.727	2.727	1
80-112	-1.333	-5.061	2.394	1
81-112	0	-4.565	4.565	1
82-112	-2	-6.565	2.565	0.999
84-112	-2	-5.954	1.954	0.989
85-112	-1	-4.609	2.609	1
86-112	-0.111	-3.514	3.292	1
87-112	-1.143	-4.594	2.308	1
88-112	-0.571	-4.022	2.879	1
90-112	-0.667	-4.069	2.736	1
91-112	-0.8	-4.336	2.736	1
92-112	-0.167	-3.653	3.32	1
94-112	-0.875	-4.299	2.549	1
95-112	-0.727	-4.099	2.644	1
96-112	-0.4	-3.936	3.136	1
97-112	-0.5	-3.86	2.86	1
98-112	-0.6	-4.136	2.936	1
68-115	0.5	-1.783	2.783	1
70-115	0	-2.465	2.465	1
72-115	1	-2.609	4.609	1
73-115	1	-2.609	4.609	1
75-115	-0.4	-2.565	1.765	1
77-115	0.25	-2.033	2.533	1
78-115	-0.333	-2.799	2.132	1
79-115	0	-2.465	2.465	1
80-115	-0.333	-2.799	2.132	1
81-115	1	-2.609	4.609	1
82-115	-1	-4.609	2.609	1
84-115	-1	-3.796	1.796	1
85-115	0	-2.283	2.283	1
86-115	0.889	-1.051	2.829	0.998
87-115	-0.143	-2.166	1.88	1
88-115	0.429	-1.595	2.452	1
90-115	0.333	-1.606	2.273	1
91-115	0.2	-1.965	2.365	1
92-115	0.833	-1.25	2.917	1
94-115	0.125	-1.852	2.102	1
95-115	0.273	-1.612	2.157	1
96-115	0.6	-1.565	2.765	1
97-115	0.5	-1.364	2.364	1
98-115	0.4	-1.765	2.565	1
70-68	-0.5	-2.965	1.965	1
72-68	0.5	-3.109	4.109	1
73-68	0.5	-3.109	4.109	1
75-68	-0.9	-3.065	1.265	1
77-68	-0.25	-2.533	2.033	1
78-68	-0.833	-3.299	1.632	1
79-68	-0.5	-2.965	1.965	1
80-68	-0.833	-3.299	1.632	1
81-68	0.5	-3.109	4.109	1
82-68	-1.5	-5.109	2.109	1
84-68	-1.5	-4.296	1.296	0.975
85-68	-0.5	-2.783	1.783	1
86-68	0.389	-1.551	2.329	1
87-68	-0.643	-2.666	1.38	1
88-68	-0.071	-2.095	1.952	1
90-68	-0.167	-2.106	1.773	1
91-68	-0.3	-2.465	1.865	1
92-68	0.333	-1.75	2.417	1
94-68	-0.375	-2.352	1.602	1
95-68	-0.227	-2.112	1.657	1
96-68	0.1	-2.065	2.265	1
97-68	0	-1.864	1.864	1
98-68	-0.1	-2.265	2.065	1
72-70	1	-2.727	4.727	1
73-70	1	-2.727	4.727	1
75-70	-0.4	-2.757	1.957	1
77-70	0.25	-2.215	2.715	1
78-70	-0.333	-2.969	2.302	1
79-70	0	-2.636	2.636	1
80-70	-0.333	-2.969	2.302	1
81-70	1	-2.727	4.727	1
82-70	-1	-4.727	2.727	1
84-70	-1	-3.947	1.947	1
85-70	0	-2.465	2.465	1
86-70	0.889	-1.263	3.041	1
87-70	-0.143	-2.37	2.085	1
88-70	0.429	-1.799	2.656	1
90-70	0.333	-1.819	2.485	1
91-70	0.2	-2.157	2.557	1
92-70	0.833	-1.449	3.116	1
94-70	0.125	-2.06	2.31	1
95-70	0.273	-1.83	2.375	1
96-70	0.6	-1.757	2.957	1
97-70	0.5	-1.584	2.584	1
98-70	0.4	-1.957	2.757	1
73-72	0	-4.565	4.565	1
75-72	-1.4	-4.936	2.136	1
77-72	-0.75	-4.359	2.859	1
78-72	-1.333	-5.061	2.394	1
79-72	-1	-4.727	2.727	1
80-72	-1.333	-5.061	2.394	1
81-72	0	-4.565	4.565	1
82-72	-2	-6.565	2.565	0.999
84-72	-2	-5.954	1.954	0.989
85-72	-1	-4.609	2.609	1
86-72	-0.111	-3.514	3.292	1
87-72	-1.143	-4.594	2.308	1
88-72	-0.571	-4.022	2.879	1
90-72	-0.667	-4.069	2.736	1
91-72	-0.8	-4.336	2.736	1
92-72	-0.167	-3.653	3.32	1
94-72	-0.875	-4.299	2.549	1
95-72	-0.727	-4.099	2.644	1
96-72	-0.4	-3.936	3.136	1
97-72	-0.5	-3.86	2.86	1
98-72	-0.6	-4.136	2.936	1
75-73	-1.4	-4.936	2.136	1
77-73	-0.75	-4.359	2.859	1
78-73	-1.333	-5.061	2.394	1
79-73	-1	-4.727	2.727	1
80-73	-1.333	-5.061	2.394	1
81-73	0	-4.565	4.565	1
82-73	-2	-6.565	2.565	0.999
84-73	-2	-5.954	1.954	0.989
85-73	-1	-4.609	2.609	1
86-73	-0.111	-3.514	3.292	1
87-73	-1.143	-4.594	2.308	1
88-73	-0.571	-4.022	2.879	1
90-73	-0.667	-4.069	2.736	1
91-73	-0.8	-4.336	2.736	1
92-73	-0.167	-3.653	3.32	1
94-73	-0.875	-4.299	2.549	1
95-73	-0.727	-4.099	2.644	1
96-73	-0.4	-3.936	3.136	1
97-73	-0.5	-3.86	2.86	1
98-73	-0.6	-4.136	2.936	1
77-75	0.65	-1.515	2.815	1
78-75	0.067	-2.291	2.424	1
79-75	0.4	-1.957	2.757	1
80-75	0.067	-2.291	2.424	1
81-75	1.4	-2.136	4.936	1
82-75	-0.6	-4.136	2.936	1
84-75	-0.6	-3.301	2.101	1
85-75	0.4	-1.765	2.565	1
86-75	1.289	-0.512	3.089	0.62
87-75	0.257	-1.633	2.147	1
88-75	0.829	-1.062	2.719	0.999
90-75	0.733	-1.067	2.534	1
91-75	0.6	-1.442	2.642	1
92-75	1.233	-0.721	3.188	0.849
94-75	0.525	-1.315	2.365	1
95-75	0.673	-1.068	2.414	1
96-75	1	-1.042	3.042	0.993
97-75	0.9	-0.818	2.618	0.982
98-75	0.8	-1.242	2.842	1
78-77	-0.583	-3.049	1.882	1
79-77	-0.25	-2.715	2.215	1
80-77	-0.583	-3.049	1.882	1
81-77	0.75	-2.859	4.359	1
82-77	-1.25	-4.859	2.359	1
84-77	-1.25	-4.046	1.546	0.998
85-77	-0.25	-2.533	2.033	1
86-77	0.639	-1.301	2.579	1
87-77	-0.393	-2.416	1.63	1
88-77	0.179	-1.845	2.202	1
90-77	0.083	-1.856	2.023	1
91-77	-0.05	-2.215	2.115	1
92-77	0.583	-1.5	2.667	1
94-77	-0.125	-2.102	1.852	1
95-77	0.023	-1.862	1.907	1
96-77	0.35	-1.815	2.515	1
97-77	0.25	-1.614	2.114	1
98-77	0.15	-2.015	2.315	1
79-78	0.333	-2.302	2.969	1
80-78	0	-2.636	2.636	1
81-78	1.333	-2.394	5.061	1
82-78	-0.667	-4.394	3.061	1
84-78	-0.667	-3.613	2.28	1
85-78	0.333	-2.132	2.799	1
86-78	1.222	-0.93	3.374	0.949
87-78	0.19	-2.037	2.418	1
88-78	0.762	-1.466	2.989	1
90-78	0.667	-1.485	2.819	1
91-78	0.533	-1.824	2.891	1
92-78	1.167	-1.116	3.449	0.987
94-78	0.458	-1.727	2.644	1
95-78	0.606	-1.496	2.709	1
96-78	0.933	-1.424	3.291	1
97-78	0.833	-1.25	2.917	1
98-78	0.733	-1.624	3.091	1
80-79	-0.333	-2.969	2.302	1
81-79	1	-2.727	4.727	1
82-79	-1	-4.727	2.727	1
84-79	-1	-3.947	1.947	1
85-79	0	-2.465	2.465	1
86-79	0.889	-1.263	3.041	1
87-79	-0.143	-2.37	2.085	1
88-79	0.429	-1.799	2.656	1
90-79	0.333	-1.819	2.485	1
91-79	0.2	-2.157	2.557	1
92-79	0.833	-1.449	3.116	1
94-79	0.125	-2.06	2.31	1
95-79	0.273	-1.83	2.375	1
96-79	0.6	-1.757	2.957	1
97-79	0.5	-1.584	2.584	1
98-79	0.4	-1.957	2.757	1
81-80	1.333	-2.394	5.061	1
82-80	-0.667	-4.394	3.061	1
84-80	-0.667	-3.613	2.28	1
85-80	0.333	-2.132	2.799	1
86-80	1.222	-0.93	3.374	0.949
87-80	0.19	-2.037	2.418	1
88-80	0.762	-1.466	2.989	1
90-80	0.667	-1.485	2.819	1
91-80	0.533	-1.824	2.891	1
92-80	1.167	-1.116	3.449	0.987
94-80	0.458	-1.727	2.644	1
95-80	0.606	-1.496	2.709	1
96-80	0.933	-1.424	3.291	1
97-80	0.833	-1.25	2.917	1
98-80	0.733	-1.624	3.091	1
82-81	-2	-6.565	2.565	0.999
84-81	-2	-5.954	1.954	0.989
85-81	-1	-4.609	2.609	1
86-81	-0.111	-3.514	3.292	1
87-81	-1.143	-4.594	2.308	1
88-81	-0.571	-4.022	2.879	1
90-81	-0.667	-4.069	2.736	1
91-81	-0.8	-4.336	2.736	1
92-81	-0.167	-3.653	3.32	1
94-81	-0.875	-4.299	2.549	1
95-81	-0.727	-4.099	2.644	1
96-81	-0.4	-3.936	3.136	1
97-81	-0.5	-3.86	2.86	1
98-81	-0.6	-4.136	2.936	1
84-82	0	-3.954	3.954	1
85-82	1	-2.609	4.609	1
86-82	1.889	-1.514	5.292	0.961
87-82	0.857	-2.594	4.308	1
88-82	1.429	-2.022	4.879	1
90-82	1.333	-2.069	4.736	1
91-82	1.2	-2.336	4.736	1
92-82	1.833	-1.653	5.32	0.981
94-82	1.125	-2.299	4.549	1
95-82	1.273	-2.099	4.644	1
96-82	1.6	-1.936	5.136	0.998
97-82	1.5	-1.86	4.86	0.999
98-82	1.4	-2.136	4.936	1
85-84	1	-1.796	3.796	1
86-84	1.889	-0.635	4.412	0.519
87-84	0.857	-1.731	3.445	1
88-84	1.429	-1.16	4.017	0.963
90-84	1.333	-1.19	3.857	0.979
91-84	1.2	-1.501	3.901	0.999
92-84	1.833	-0.802	4.469	0.681
94-84	1.125	-1.427	3.677	0.999
95-84	1.273	-1.209	3.754	0.986
96-84	1.6	-1.101	4.301	0.918
97-84	1.5	-0.965	3.965	0.892
98-84	1.4	-1.301	4.101	0.984
86-85	0.889	-1.051	2.829	0.998
87-85	-0.143	-2.166	1.88	1
88-85	0.429	-1.595	2.452	1
90-85	0.333	-1.606	2.273	1
91-85	0.2	-1.965	2.365	1
92-85	0.833	-1.25	2.917	1
94-85	0.125	-1.852	2.102	1
95-85	0.273	-1.612	2.157	1
96-85	0.6	-1.565	2.765	1
97-85	0.5	-1.364	2.364	1
98-85	0.4	-1.765	2.565	1
87-86	-1.032	-2.659	0.595	0.842
88-86	-0.46	-2.087	1.166	1
90-86	-0.556	-2.077	0.966	1
91-86	-0.689	-2.489	1.112	1
92-86	-0.056	-1.757	1.646	1
94-86	-0.764	-2.332	0.805	0.994
95-86	-0.616	-2.067	0.835	0.999
96-86	-0.289	-2.089	1.512	1
97-86	-0.389	-1.812	1.035	1
98-86	-0.489	-2.289	1.312	1
88-87	0.571	-1.154	2.297	1
90-87	0.476	-1.151	2.103	1
91-87	0.343	-1.547	2.233	1
92-87	0.976	-0.82	2.772	0.97
94-87	0.268	-1.403	1.939	1
95-87	0.416	-1.145	1.976	1
96-87	0.743	-1.147	2.633	1
97-87	0.643	-0.892	2.178	1
98-87	0.543	-1.347	2.433	1
90-88	-0.095	-1.722	1.532	1
91-88	-0.229	-2.119	1.662	1
92-88	0.405	-1.391	2.201	1
94-88	-0.304	-1.974	1.367	1
95-88	-0.156	-1.717	1.405	1
96-88	0.171	-1.719	2.062	1
97-88	0.071	-1.464	1.607	1
98-88	-0.029	-1.919	1.862	1
91-90	-0.133	-1.934	1.667	1
92-90	0.5	-1.201	2.201	1
94-90	-0.208	-1.777	1.36	1
95-90	-0.061	-1.511	1.39	1
96-90	0.267	-1.534	2.067	1
97-90	0.167	-1.257	1.59	1
98-90	0.067	-1.734	1.867	1
92-91	0.633	-1.321	2.588	1
94-91	-0.075	-1.915	1.765	1
95-91	0.073	-1.668	1.814	1
96-91	0.4	-1.642	2.442	1
97-91	0.3	-1.418	2.018	1
98-91	0.2	-1.842	2.242	1
94-92	-0.708	-2.452	1.035	1
95-92	-0.561	-2.199	1.078	1
96-92	-0.233	-2.188	1.721	1
97-92	-0.333	-1.947	1.281	1
98-92	-0.433	-2.388	1.521	1
95-94	0.148	-1.352	1.648	1
96-94	0.475	-1.365	2.315	1
97-94	0.375	-1.098	1.848	1
98-94	0.275	-1.565	2.115	1
96-95	0.327	-1.414	2.068	1
97-95	0.227	-1.12	1.575	1
98-95	0.127	-1.614	1.868	1
97-96	-0.1	-1.818	1.618	1
98-96	-0.2	-2.242	1.842	1
98-97	-0.1	-1.818	1.618	1