R version 2.12.1 (2010-12-16)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: x86_64-redhat-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
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> x <- array(list(1235,127,13,1651,1080,115,12,1380,845,127,7,889,1522,150,9,1350,1047,156,6,936,1979,182,11,2002,1822,156,12,1872,1253,132,10,1320,1297,137,9,1233,946,113,9,1017,1713,137,15,2055,1024,117,11,1287,1147,137,8,1096,1092,153,6,918,1152,117,13,1521,1336,126,10,1260,2131,170,14,2380,1550,182,8,1456,1884,162,11,1782,2041,184,10,1840,845,143,6,858,1483,159,9,1431,1055,108,14,1512,1545,175,8,1400,729,108,6,648,1792,179,9,1611,1175,111,15,1665,1593,187,8,1496,785,111,7,777,744,115,7,805,1356,194,5,970,1262,168,7,1176),dim=c(4,32),dimnames=list(c('Veilingprijs','Ouderdom','Aanbieders','Interactie'),1:32))
> y <- array(NA,dim=c(4,32),dimnames=list(c('Veilingprijs','Ouderdom','Aanbieders','Interactie'),1:32))
> for (i in 1:dim(x)[1])
+ {
+ for (j in 1:dim(x)[2])
+ {
+ y[i,j] <- as.numeric(x[i,j])
+ }
+ }
> par3 = 'No Linear Trend'
> par2 = 'Do not include Seasonal Dummies'
> par1 = '1'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> library(lattice)
> library(lmtest)
Loading required package: zoo
> n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
> par1 <- as.numeric(par1)
> x <- t(y)
> k <- length(x[1,])
> n <- length(x[,1])
> x1 <- cbind(x[,par1], x[,1:k!=par1])
> mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
> colnames(x1) <- mycolnames #colnames(x)[par1]
> x <- x1
> if (par3 == 'First Differences'){
+ x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
+ for (i in 1:n-1) {
+ for (j in 1:k) {
+ x2[i,j] <- x[i+1,j] - x[i,j]
+ }
+ }
+ x <- x2
+ }
> if (par2 == 'Include Monthly Dummies'){
+ x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
+ for (i in 1:11){
+ x2[seq(i,n,12),i] <- 1
+ }
+ x <- cbind(x, x2)
+ }
> if (par2 == 'Include Quarterly Dummies'){
+ x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
+ for (i in 1:3){
+ x2[seq(i,n,4),i] <- 1
+ }
+ x <- cbind(x, x2)
+ }
> k <- length(x[1,])
> if (par3 == 'Linear Trend'){
+ x <- cbind(x, c(1:n))
+ colnames(x)[k+1] <- 't'
+ }
> x
Veilingprijs Ouderdom Aanbieders Interactie
1 1235 127 13 1651
2 1080 115 12 1380
3 845 127 7 889
4 1522 150 9 1350
5 1047 156 6 936
6 1979 182 11 2002
7 1822 156 12 1872
8 1253 132 10 1320
9 1297 137 9 1233
10 946 113 9 1017
11 1713 137 15 2055
12 1024 117 11 1287
13 1147 137 8 1096
14 1092 153 6 918
15 1152 117 13 1521
16 1336 126 10 1260
17 2131 170 14 2380
18 1550 182 8 1456
19 1884 162 11 1782
20 2041 184 10 1840
21 845 143 6 858
22 1483 159 9 1431
23 1055 108 14 1512
24 1545 175 8 1400
25 729 108 6 648
26 1792 179 9 1611
27 1175 111 15 1665
28 1593 187 8 1496
29 785 111 7 777
30 744 115 7 805
31 1356 194 5 970
32 1262 168 7 1176
> k <- length(x[1,])
> df <- as.data.frame(x)
> (mylm <- lm(df))
Call:
lm(formula = df)
Coefficients:
(Intercept) Ouderdom Aanbieders Interactie
320.4580 0.8781 -93.2648 1.2978
> (mysum <- summary(mylm))
Call:
lm(formula = df)
Residuals:
Min 1Q Median 3Q Max
-154.995 -70.431 2.069 47.880 202.259
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 320.4580 295.1413 1.086 0.28684
Ouderdom 0.8781 2.0322 0.432 0.66896
Aanbieders -93.2648 29.8916 -3.120 0.00416 **
Interactie 1.2978 0.2123 6.112 1.35e-06 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 88.91 on 28 degrees of freedom
Multiple R-squared: 0.9539, Adjusted R-squared: 0.9489
F-statistic: 193 on 3 and 28 DF, p-value: < 2.2e-16
> if (n > n25) {
+ kp3 <- k + 3
+ nmkm3 <- n - k - 3
+ gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
+ numgqtests <- 0
+ numsignificant1 <- 0
+ numsignificant5 <- 0
+ numsignificant10 <- 0
+ for (mypoint in kp3:nmkm3) {
+ j <- 0
+ numgqtests <- numgqtests + 1
+ for (myalt in c('greater', 'two.sided', 'less')) {
+ j <- j + 1
+ gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
+ }
+ if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
+ if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
+ if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
+ }
+ gqarr
+ }
[,1] [,2] [,3]
[1,] 0.9117908 0.1764185 0.08820923
[2,] 0.8505012 0.2989976 0.14949879
[3,] 0.8375126 0.3249749 0.16248743
[4,] 0.7504840 0.4990320 0.24951598
[5,] 0.6365419 0.7269161 0.36345805
[6,] 0.5322141 0.9355718 0.46778590
[7,] 0.4153347 0.8306693 0.58466533
[8,] 0.3021195 0.6042390 0.69788050
[9,] 0.2114831 0.4229663 0.78851685
[10,] 0.5687442 0.8625115 0.43125577
[11,] 0.7293780 0.5412440 0.27062199
[12,] 0.6949949 0.6100103 0.30500513
[13,] 0.7546620 0.4906761 0.24533803
[14,] 0.7684185 0.4631629 0.23158146
[15,] 0.9179555 0.1640891 0.08204454
[16,] 0.8522015 0.2955969 0.14779846
[17,] 0.7455792 0.5088417 0.25442083
[18,] 0.6001594 0.7996813 0.39984064
[19,] 0.4764456 0.9528913 0.52355437
> postscript(file="/var/www/wessaorg/rcomp/tmp/1p1ty1298406496.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
> points(x[,1]-mysum$resid)
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/wessaorg/rcomp/tmp/2l7jd1298406496.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/wessaorg/rcomp/tmp/3xo9z1298406496.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/wessaorg/rcomp/tmp/4ksq91298406496.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
> dev.off()
null device
1
> postscript(file="/var/www/wessaorg/rcomp/tmp/5fbd21298406496.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
> qqline(mysum$resid)
> grid()
> dev.off()
null device
1
> (myerror <- as.ts(mysum$resid))
Time Series:
Start = 1
End = 32
Frequency = 1
1 2 3 4 5
-1.272828e+02 -1.329372e+01 -8.791325e+01 1.571122e+02 -6.564296e+01
6 7 8 9 10
-7.365420e+01 5.416229e+01 3.611896e+01 9.537601e+01 4.578612e+01
11 12 13 14 15
4.135685e+00 -4.361517e+01 2.991606e+01 5.352688e+00 -3.278144e+01
16 17 18 19 20
2.022586e+02 -1.219077e+02 -7.382485e+01 1.344347e+02 1.035757e+02
21 22 23 24 25
-1.549951e+02 5.083398e+00 -1.693273e+01 1.515038e-03 3.228747e+01
26 27 28 29 30
6.290830e+01 -4.872739e+00 -8.712939e+01 1.149576e+01 -6.935650e+01
31 32
7.259604e+01 -7.939885e+01
> postscript(file="/var/www/wessaorg/rcomp/tmp/6zocr1298406496.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> dum <- cbind(lag(myerror,k=1),myerror)
> dum
Time Series:
Start = 0
End = 32
Frequency = 1
lag(myerror, k = 1) myerror
0 -1.272828e+02 NA
1 -1.329372e+01 -1.272828e+02
2 -8.791325e+01 -1.329372e+01
3 1.571122e+02 -8.791325e+01
4 -6.564296e+01 1.571122e+02
5 -7.365420e+01 -6.564296e+01
6 5.416229e+01 -7.365420e+01
7 3.611896e+01 5.416229e+01
8 9.537601e+01 3.611896e+01
9 4.578612e+01 9.537601e+01
10 4.135685e+00 4.578612e+01
11 -4.361517e+01 4.135685e+00
12 2.991606e+01 -4.361517e+01
13 5.352688e+00 2.991606e+01
14 -3.278144e+01 5.352688e+00
15 2.022586e+02 -3.278144e+01
16 -1.219077e+02 2.022586e+02
17 -7.382485e+01 -1.219077e+02
18 1.344347e+02 -7.382485e+01
19 1.035757e+02 1.344347e+02
20 -1.549951e+02 1.035757e+02
21 5.083398e+00 -1.549951e+02
22 -1.693273e+01 5.083398e+00
23 1.515038e-03 -1.693273e+01
24 3.228747e+01 1.515038e-03
25 6.290830e+01 3.228747e+01
26 -4.872739e+00 6.290830e+01
27 -8.712939e+01 -4.872739e+00
28 1.149576e+01 -8.712939e+01
29 -6.935650e+01 1.149576e+01
30 7.259604e+01 -6.935650e+01
31 -7.939885e+01 7.259604e+01
32 NA -7.939885e+01
> dum1 <- dum[2:length(myerror),]
> dum1
lag(myerror, k = 1) myerror
[1,] -1.329372e+01 -1.272828e+02
[2,] -8.791325e+01 -1.329372e+01
[3,] 1.571122e+02 -8.791325e+01
[4,] -6.564296e+01 1.571122e+02
[5,] -7.365420e+01 -6.564296e+01
[6,] 5.416229e+01 -7.365420e+01
[7,] 3.611896e+01 5.416229e+01
[8,] 9.537601e+01 3.611896e+01
[9,] 4.578612e+01 9.537601e+01
[10,] 4.135685e+00 4.578612e+01
[11,] -4.361517e+01 4.135685e+00
[12,] 2.991606e+01 -4.361517e+01
[13,] 5.352688e+00 2.991606e+01
[14,] -3.278144e+01 5.352688e+00
[15,] 2.022586e+02 -3.278144e+01
[16,] -1.219077e+02 2.022586e+02
[17,] -7.382485e+01 -1.219077e+02
[18,] 1.344347e+02 -7.382485e+01
[19,] 1.035757e+02 1.344347e+02
[20,] -1.549951e+02 1.035757e+02
[21,] 5.083398e+00 -1.549951e+02
[22,] -1.693273e+01 5.083398e+00
[23,] 1.515038e-03 -1.693273e+01
[24,] 3.228747e+01 1.515038e-03
[25,] 6.290830e+01 3.228747e+01
[26,] -4.872739e+00 6.290830e+01
[27,] -8.712939e+01 -4.872739e+00
[28,] 1.149576e+01 -8.712939e+01
[29,] -6.935650e+01 1.149576e+01
[30,] 7.259604e+01 -6.935650e+01
[31,] -7.939885e+01 7.259604e+01
> z <- as.data.frame(dum1)
> z
lag(myerror, k = 1) myerror
1 -1.329372e+01 -1.272828e+02
2 -8.791325e+01 -1.329372e+01
3 1.571122e+02 -8.791325e+01
4 -6.564296e+01 1.571122e+02
5 -7.365420e+01 -6.564296e+01
6 5.416229e+01 -7.365420e+01
7 3.611896e+01 5.416229e+01
8 9.537601e+01 3.611896e+01
9 4.578612e+01 9.537601e+01
10 4.135685e+00 4.578612e+01
11 -4.361517e+01 4.135685e+00
12 2.991606e+01 -4.361517e+01
13 5.352688e+00 2.991606e+01
14 -3.278144e+01 5.352688e+00
15 2.022586e+02 -3.278144e+01
16 -1.219077e+02 2.022586e+02
17 -7.382485e+01 -1.219077e+02
18 1.344347e+02 -7.382485e+01
19 1.035757e+02 1.344347e+02
20 -1.549951e+02 1.035757e+02
21 5.083398e+00 -1.549951e+02
22 -1.693273e+01 5.083398e+00
23 1.515038e-03 -1.693273e+01
24 3.228747e+01 1.515038e-03
25 6.290830e+01 3.228747e+01
26 -4.872739e+00 6.290830e+01
27 -8.712939e+01 -4.872739e+00
28 1.149576e+01 -8.712939e+01
29 -6.935650e+01 1.149576e+01
30 7.259604e+01 -6.935650e+01
31 -7.939885e+01 7.259604e+01
> plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
> lines(lowess(z))
> abline(lm(z))
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/wessaorg/rcomp/tmp/7sujs1298406496.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/wessaorg/rcomp/tmp/8ld4j1298406496.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/wessaorg/rcomp/tmp/9wv801298406496.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
> plot(mylm, las = 1, sub='Residual Diagnostics')
> par(opar)
> dev.off()
null device
1
> if (n > n25) {
+ postscript(file="/var/www/wessaorg/rcomp/tmp/10bh5o1298406496.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
+ plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
+ grid()
+ dev.off()
+ }
null device
1
>
> #Note: the /var/www/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/wessaorg/rcomp/createtable")
>
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
> a<-table.row.end(a)
> myeq <- colnames(x)[1]
> myeq <- paste(myeq, '[t] = ', sep='')
> for (i in 1:k){
+ if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
+ myeq <- paste(myeq, mysum$coefficients[i,1], sep=' ')
+ if (rownames(mysum$coefficients)[i] != '(Intercept)') {
+ myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
+ if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
+ }
+ }
> myeq <- paste(myeq, ' + e[t]')
> a<-table.row.start(a)
> a<-table.element(a, myeq)
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/wessaorg/rcomp/tmp/11c9t71298406496.tab")
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,hyperlink('http://www.xycoon.com/ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Variable',header=TRUE)
> a<-table.element(a,'Parameter',header=TRUE)
> a<-table.element(a,'S.D.',header=TRUE)
> a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
> a<-table.element(a,'2-tail p-value',header=TRUE)
> a<-table.element(a,'1-tail p-value',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:k){
+ a<-table.row.start(a)
+ a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
+ a<-table.element(a,mysum$coefficients[i,1])
+ a<-table.element(a, round(mysum$coefficients[i,2],6))
+ a<-table.element(a, round(mysum$coefficients[i,3],4))
+ a<-table.element(a, round(mysum$coefficients[i,4],6))
+ a<-table.element(a, round(mysum$coefficients[i,4]/2,6))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/wessaorg/rcomp/tmp/12lgvo1298406496.tab")
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple R',1,TRUE)
> a<-table.element(a, sqrt(mysum$r.squared))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'R-squared',1,TRUE)
> a<-table.element(a, mysum$r.squared)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Adjusted R-squared',1,TRUE)
> a<-table.element(a, mysum$adj.r.squared)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'F-TEST (value)',1,TRUE)
> a<-table.element(a, mysum$fstatistic[1])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
> a<-table.element(a, mysum$fstatistic[2])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
> a<-table.element(a, mysum$fstatistic[3])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'p-value',1,TRUE)
> a<-table.element(a, 1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
> a<-table.element(a, mysum$sigma)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
> a<-table.element(a, sum(myerror*myerror))
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/wessaorg/rcomp/tmp/13a12d1298406496.tab")
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Time or Index', 1, TRUE)
> a<-table.element(a, 'Actuals', 1, TRUE)
> a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
> a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
> a<-table.row.end(a)
> for (i in 1:n) {
+ a<-table.row.start(a)
+ a<-table.element(a,i, 1, TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]-mysum$resid[i])
+ a<-table.element(a,mysum$resid[i])
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/wessaorg/rcomp/tmp/14klof1298406496.tab")
> if (n > n25) {
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'p-values',header=TRUE)
+ a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'breakpoint index',header=TRUE)
+ a<-table.element(a,'greater',header=TRUE)
+ a<-table.element(a,'2-sided',header=TRUE)
+ a<-table.element(a,'less',header=TRUE)
+ a<-table.row.end(a)
+ for (mypoint in kp3:nmkm3) {
+ a<-table.row.start(a)
+ a<-table.element(a,mypoint,header=TRUE)
+ a<-table.element(a,gqarr[mypoint-kp3+1,1])
+ a<-table.element(a,gqarr[mypoint-kp3+1,2])
+ a<-table.element(a,gqarr[mypoint-kp3+1,3])
+ a<-table.row.end(a)
+ }
+ a<-table.end(a)
+ table.save(a,file="/var/www/wessaorg/rcomp/tmp/15bycs1298406496.tab")
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'Description',header=TRUE)
+ a<-table.element(a,'# significant tests',header=TRUE)
+ a<-table.element(a,'% significant tests',header=TRUE)
+ a<-table.element(a,'OK/NOK',header=TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'1% type I error level',header=TRUE)
+ a<-table.element(a,numsignificant1)
+ a<-table.element(a,numsignificant1/numgqtests)
+ if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
+ a<-table.element(a,dum)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'5% type I error level',header=TRUE)
+ a<-table.element(a,numsignificant5)
+ a<-table.element(a,numsignificant5/numgqtests)
+ if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
+ a<-table.element(a,dum)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'10% type I error level',header=TRUE)
+ a<-table.element(a,numsignificant10)
+ a<-table.element(a,numsignificant10/numgqtests)
+ if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
+ a<-table.element(a,dum)
+ a<-table.row.end(a)
+ a<-table.end(a)
+ table.save(a,file="/var/www/wessaorg/rcomp/tmp/169wph1298406496.tab")
+ }
>
> try(system("convert tmp/1p1ty1298406496.ps tmp/1p1ty1298406496.png",intern=TRUE))
character(0)
> try(system("convert tmp/2l7jd1298406496.ps tmp/2l7jd1298406496.png",intern=TRUE))
character(0)
> try(system("convert tmp/3xo9z1298406496.ps tmp/3xo9z1298406496.png",intern=TRUE))
character(0)
> try(system("convert tmp/4ksq91298406496.ps tmp/4ksq91298406496.png",intern=TRUE))
character(0)
> try(system("convert tmp/5fbd21298406496.ps tmp/5fbd21298406496.png",intern=TRUE))
character(0)
> try(system("convert tmp/6zocr1298406496.ps tmp/6zocr1298406496.png",intern=TRUE))
character(0)
> try(system("convert tmp/7sujs1298406496.ps tmp/7sujs1298406496.png",intern=TRUE))
character(0)
> try(system("convert tmp/8ld4j1298406496.ps tmp/8ld4j1298406496.png",intern=TRUE))
character(0)
> try(system("convert tmp/9wv801298406496.ps tmp/9wv801298406496.png",intern=TRUE))
character(0)
> try(system("convert tmp/10bh5o1298406496.ps tmp/10bh5o1298406496.png",intern=TRUE))
character(0)
>
>
> proc.time()
user system elapsed
2.880 0.480 3.608