R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
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
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> x <- array(list(519164,0,517009,0,509933,0,509127,0,500857,0,506971,0,569323,0,579714,0,577992,0,565464,0,547344,0,554788,0,562325,0,560854,0,555332,0,543599,0,536662,0,542722,0,593530,0,610763,0,612613,0,611324,0,594167,0,595454,0,590865,0,589379,0,584428,0,573100,0,567456,0,569028,0,620735,0,628884,0,628232,0,612117,0,595404,0,597141,0,593408,0,590072,0,579799,0,574205,0,572775,0,572942,0,619567,0,625809,0,619916,0,587625,0,565742,0,557274,0,560576,1,548854,1,531673,1,525919,1,511038,1,498662,1,555362,1,564591,1,541657,1,527070,1,509846,1,514258,1,516922,1,507561,1,492622,1,490243,1,469357,1,477580,1,528379,1,533590,1,517945,1,506174,1,501866,1),dim=c(2,71),dimnames=list(c('WerklozenTotaal','Kredietcrisis'),1:71))
> y <- array(NA,dim=c(2,71),dimnames=list(c('WerklozenTotaal','Kredietcrisis'),1:71))
> 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)
> 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
WerklozenTotaal Kredietcrisis
1 519164 0
2 517009 0
3 509933 0
4 509127 0
5 500857 0
6 506971 0
7 569323 0
8 579714 0
9 577992 0
10 565464 0
11 547344 0
12 554788 0
13 562325 0
14 560854 0
15 555332 0
16 543599 0
17 536662 0
18 542722 0
19 593530 0
20 610763 0
21 612613 0
22 611324 0
23 594167 0
24 595454 0
25 590865 0
26 589379 0
27 584428 0
28 573100 0
29 567456 0
30 569028 0
31 620735 0
32 628884 0
33 628232 0
34 612117 0
35 595404 0
36 597141 0
37 593408 0
38 590072 0
39 579799 0
40 574205 0
41 572775 0
42 572942 0
43 619567 0
44 625809 0
45 619916 0
46 587625 0
47 565742 0
48 557274 0
49 560576 1
50 548854 1
51 531673 1
52 525919 1
53 511038 1
54 498662 1
55 555362 1
56 564591 1
57 541657 1
58 527070 1
59 509846 1
60 514258 1
61 516922 1
62 507561 1
63 492622 1
64 490243 1
65 469357 1
66 477580 1
67 528379 1
68 533590 1
69 517945 1
70 506174 1
71 501866 1
> k <- length(x[1,])
> df <- as.data.frame(x)
> (mylm <- lm(df))
Call:
lm(formula = df)
Coefficients:
(Intercept) Kredietcrisis
574853 -56081
> (mysum <- summary(mylm))
Call:
lm(formula = df)
Residuals:
Min 1Q Median 3Q Max
-73995.8 -17242.2 -826.5 19932.7 54031.2
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 574853 4544 126.513 < 2e-16 ***
Kredietcrisis -56081 7983 -7.025 1.2e-09 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 31480 on 69 degrees of freedom
Multiple R-squared: 0.417, Adjusted R-squared: 0.4085
F-statistic: 49.35 on 1 and 69 DF, p-value: 1.200e-09
> postscript(file="/var/www/html/rcomp/tmp/1gg6p1229865135.ps",horizontal=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/html/rcomp/tmp/24u151229865135.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/html/rcomp/tmp/3fuk01229865135.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/html/rcomp/tmp/4vc1g1229865135.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
> dev.off()
null device
1
> postscript(file="/var/www/html/rcomp/tmp/5vz4l1229865135.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
> grid()
> dev.off()
null device
1
> (myerror <- as.ts(mysum$resid))
Time Series:
Start = 1
End = 71
Frequency = 1
1 2 3 4 5 6
-55688.7917 -57843.7917 -64919.7917 -65725.7917 -73995.7917 -67881.7917
7 8 9 10 11 12
-5529.7917 4861.2083 3139.2083 -9388.7917 -27508.7917 -20064.7917
13 14 15 16 17 18
-12527.7917 -13998.7917 -19520.7917 -31253.7917 -38190.7917 -32130.7917
19 20 21 22 23 24
18677.2083 35910.2083 37760.2083 36471.2083 19314.2083 20601.2083
25 26 27 28 29 30
16012.2083 14526.2083 9575.2083 -1752.7917 -7396.7917 -5824.7917
31 32 33 34 35 36
45882.2083 54031.2083 53379.2083 37264.2083 20551.2083 22288.2083
37 38 39 40 41 42
18555.2083 15219.2083 4946.2083 -647.7917 -2077.7917 -1910.7917
43 44 45 46 47 48
44714.2083 50956.2083 45063.2083 12772.2083 -9110.7917 -17578.7917
49 50 51 52 53 54
41804.4783 30082.4783 12901.4783 7147.4783 -7733.5217 -20109.5217
55 56 57 58 59 60
36590.4783 45819.4783 22885.4783 8298.4783 -8925.5217 -4513.5217
61 62 63 64 65 66
-1849.5217 -11210.5217 -26149.5217 -28528.5217 -49414.5217 -41191.5217
67 68 69 70 71
9607.4783 14818.4783 -826.5217 -12597.5217 -16905.5217
> postscript(file="/var/www/html/rcomp/tmp/6zkzi1229865135.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> dum <- cbind(lag(myerror,k=1),myerror)
> dum
Time Series:
Start = 0
End = 71
Frequency = 1
lag(myerror, k = 1) myerror
0 -55688.7917 NA
1 -57843.7917 -55688.7917
2 -64919.7917 -57843.7917
3 -65725.7917 -64919.7917
4 -73995.7917 -65725.7917
5 -67881.7917 -73995.7917
6 -5529.7917 -67881.7917
7 4861.2083 -5529.7917
8 3139.2083 4861.2083
9 -9388.7917 3139.2083
10 -27508.7917 -9388.7917
11 -20064.7917 -27508.7917
12 -12527.7917 -20064.7917
13 -13998.7917 -12527.7917
14 -19520.7917 -13998.7917
15 -31253.7917 -19520.7917
16 -38190.7917 -31253.7917
17 -32130.7917 -38190.7917
18 18677.2083 -32130.7917
19 35910.2083 18677.2083
20 37760.2083 35910.2083
21 36471.2083 37760.2083
22 19314.2083 36471.2083
23 20601.2083 19314.2083
24 16012.2083 20601.2083
25 14526.2083 16012.2083
26 9575.2083 14526.2083
27 -1752.7917 9575.2083
28 -7396.7917 -1752.7917
29 -5824.7917 -7396.7917
30 45882.2083 -5824.7917
31 54031.2083 45882.2083
32 53379.2083 54031.2083
33 37264.2083 53379.2083
34 20551.2083 37264.2083
35 22288.2083 20551.2083
36 18555.2083 22288.2083
37 15219.2083 18555.2083
38 4946.2083 15219.2083
39 -647.7917 4946.2083
40 -2077.7917 -647.7917
41 -1910.7917 -2077.7917
42 44714.2083 -1910.7917
43 50956.2083 44714.2083
44 45063.2083 50956.2083
45 12772.2083 45063.2083
46 -9110.7917 12772.2083
47 -17578.7917 -9110.7917
48 41804.4783 -17578.7917
49 30082.4783 41804.4783
50 12901.4783 30082.4783
51 7147.4783 12901.4783
52 -7733.5217 7147.4783
53 -20109.5217 -7733.5217
54 36590.4783 -20109.5217
55 45819.4783 36590.4783
56 22885.4783 45819.4783
57 8298.4783 22885.4783
58 -8925.5217 8298.4783
59 -4513.5217 -8925.5217
60 -1849.5217 -4513.5217
61 -11210.5217 -1849.5217
62 -26149.5217 -11210.5217
63 -28528.5217 -26149.5217
64 -49414.5217 -28528.5217
65 -41191.5217 -49414.5217
66 9607.4783 -41191.5217
67 14818.4783 9607.4783
68 -826.5217 14818.4783
69 -12597.5217 -826.5217
70 -16905.5217 -12597.5217
71 NA -16905.5217
> dum1 <- dum[2:length(myerror),]
> dum1
lag(myerror, k = 1) myerror
[1,] -57843.7917 -55688.7917
[2,] -64919.7917 -57843.7917
[3,] -65725.7917 -64919.7917
[4,] -73995.7917 -65725.7917
[5,] -67881.7917 -73995.7917
[6,] -5529.7917 -67881.7917
[7,] 4861.2083 -5529.7917
[8,] 3139.2083 4861.2083
[9,] -9388.7917 3139.2083
[10,] -27508.7917 -9388.7917
[11,] -20064.7917 -27508.7917
[12,] -12527.7917 -20064.7917
[13,] -13998.7917 -12527.7917
[14,] -19520.7917 -13998.7917
[15,] -31253.7917 -19520.7917
[16,] -38190.7917 -31253.7917
[17,] -32130.7917 -38190.7917
[18,] 18677.2083 -32130.7917
[19,] 35910.2083 18677.2083
[20,] 37760.2083 35910.2083
[21,] 36471.2083 37760.2083
[22,] 19314.2083 36471.2083
[23,] 20601.2083 19314.2083
[24,] 16012.2083 20601.2083
[25,] 14526.2083 16012.2083
[26,] 9575.2083 14526.2083
[27,] -1752.7917 9575.2083
[28,] -7396.7917 -1752.7917
[29,] -5824.7917 -7396.7917
[30,] 45882.2083 -5824.7917
[31,] 54031.2083 45882.2083
[32,] 53379.2083 54031.2083
[33,] 37264.2083 53379.2083
[34,] 20551.2083 37264.2083
[35,] 22288.2083 20551.2083
[36,] 18555.2083 22288.2083
[37,] 15219.2083 18555.2083
[38,] 4946.2083 15219.2083
[39,] -647.7917 4946.2083
[40,] -2077.7917 -647.7917
[41,] -1910.7917 -2077.7917
[42,] 44714.2083 -1910.7917
[43,] 50956.2083 44714.2083
[44,] 45063.2083 50956.2083
[45,] 12772.2083 45063.2083
[46,] -9110.7917 12772.2083
[47,] -17578.7917 -9110.7917
[48,] 41804.4783 -17578.7917
[49,] 30082.4783 41804.4783
[50,] 12901.4783 30082.4783
[51,] 7147.4783 12901.4783
[52,] -7733.5217 7147.4783
[53,] -20109.5217 -7733.5217
[54,] 36590.4783 -20109.5217
[55,] 45819.4783 36590.4783
[56,] 22885.4783 45819.4783
[57,] 8298.4783 22885.4783
[58,] -8925.5217 8298.4783
[59,] -4513.5217 -8925.5217
[60,] -1849.5217 -4513.5217
[61,] -11210.5217 -1849.5217
[62,] -26149.5217 -11210.5217
[63,] -28528.5217 -26149.5217
[64,] -49414.5217 -28528.5217
[65,] -41191.5217 -49414.5217
[66,] 9607.4783 -41191.5217
[67,] 14818.4783 9607.4783
[68,] -826.5217 14818.4783
[69,] -12597.5217 -826.5217
[70,] -16905.5217 -12597.5217
> z <- as.data.frame(dum1)
> z
lag(myerror, k = 1) myerror
1 -57843.7917 -55688.7917
2 -64919.7917 -57843.7917
3 -65725.7917 -64919.7917
4 -73995.7917 -65725.7917
5 -67881.7917 -73995.7917
6 -5529.7917 -67881.7917
7 4861.2083 -5529.7917
8 3139.2083 4861.2083
9 -9388.7917 3139.2083
10 -27508.7917 -9388.7917
11 -20064.7917 -27508.7917
12 -12527.7917 -20064.7917
13 -13998.7917 -12527.7917
14 -19520.7917 -13998.7917
15 -31253.7917 -19520.7917
16 -38190.7917 -31253.7917
17 -32130.7917 -38190.7917
18 18677.2083 -32130.7917
19 35910.2083 18677.2083
20 37760.2083 35910.2083
21 36471.2083 37760.2083
22 19314.2083 36471.2083
23 20601.2083 19314.2083
24 16012.2083 20601.2083
25 14526.2083 16012.2083
26 9575.2083 14526.2083
27 -1752.7917 9575.2083
28 -7396.7917 -1752.7917
29 -5824.7917 -7396.7917
30 45882.2083 -5824.7917
31 54031.2083 45882.2083
32 53379.2083 54031.2083
33 37264.2083 53379.2083
34 20551.2083 37264.2083
35 22288.2083 20551.2083
36 18555.2083 22288.2083
37 15219.2083 18555.2083
38 4946.2083 15219.2083
39 -647.7917 4946.2083
40 -2077.7917 -647.7917
41 -1910.7917 -2077.7917
42 44714.2083 -1910.7917
43 50956.2083 44714.2083
44 45063.2083 50956.2083
45 12772.2083 45063.2083
46 -9110.7917 12772.2083
47 -17578.7917 -9110.7917
48 41804.4783 -17578.7917
49 30082.4783 41804.4783
50 12901.4783 30082.4783
51 7147.4783 12901.4783
52 -7733.5217 7147.4783
53 -20109.5217 -7733.5217
54 36590.4783 -20109.5217
55 45819.4783 36590.4783
56 22885.4783 45819.4783
57 8298.4783 22885.4783
58 -8925.5217 8298.4783
59 -4513.5217 -8925.5217
60 -1849.5217 -4513.5217
61 -11210.5217 -1849.5217
62 -26149.5217 -11210.5217
63 -28528.5217 -26149.5217
64 -49414.5217 -28528.5217
65 -41191.5217 -49414.5217
66 9607.4783 -41191.5217
67 14818.4783 9607.4783
68 -826.5217 14818.4783
69 -12597.5217 -826.5217
70 -16905.5217 -12597.5217
> 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/html/rcomp/tmp/7oz9s1229865135.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/html/rcomp/tmp/8ew531229865135.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/html/rcomp/tmp/97oqo1229865135.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
> plot(mylm, las = 1, sub='Residual Diagnostics')
> par(opar)
> dev.off()
null device
1
>
> #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/rcomp/createtable")
>
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
> a<-table.row.end(a)
> myeq <- colnames(x)[1]
> myeq <- paste(myeq, '[t] = ', sep='')
> for (i in 1:k){
+ if (mysum$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/html/rcomp/tmp/10m45o1229865135.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/html/rcomp/tmp/11orha1229865135.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/html/rcomp/tmp/12m4m01229865135.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/html/rcomp/tmp/13rcb31229865135.tab")
>
> system("convert tmp/1gg6p1229865135.ps tmp/1gg6p1229865135.png")
> system("convert tmp/24u151229865135.ps tmp/24u151229865135.png")
> system("convert tmp/3fuk01229865135.ps tmp/3fuk01229865135.png")
> system("convert tmp/4vc1g1229865135.ps tmp/4vc1g1229865135.png")
> system("convert tmp/5vz4l1229865135.ps tmp/5vz4l1229865135.png")
> system("convert tmp/6zkzi1229865135.ps tmp/6zkzi1229865135.png")
> system("convert tmp/7oz9s1229865135.ps tmp/7oz9s1229865135.png")
> system("convert tmp/8ew531229865135.ps tmp/8ew531229865135.png")
> system("convert tmp/97oqo1229865135.ps tmp/97oqo1229865135.png")
>
>
> proc.time()
user system elapsed
1.962 1.437 2.906