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Data:
25.7300 26.2400 25.5150 26.4400 27.0800 26.8000 26.2850 25.4600 24.6500 23.7050 21.6500 20.7500 23.6300 21.8650 22.1050 22.8900 22.1000 23.2300 23.0150 22.6900 21.5300 20.8050 20.5050 22.6250 21.9250 22.3300 22.0300 22.7250 23.0150 22.3650 22.2450 23.1250 22.9500 22.2200 21.9150 23.1400 22.5100 21.9850 21.7450 21.1350 20.5350 22.0000 22.6150 22.5350 22.6900 23.4350 22.1650 21.9650 23.0700 22.3750 22.9900 22.9900 22.4150 22.6550 22.1100 22.2850 22.4850 23.2300 22.7400 22.5900 22.2150 22.3300 21.9850 22.0500 22.2900 22.2050 22.4650 22.6350 22.9500 22.7200 22.3550 22.4650 22.6200 22.3000 21.8650 22.0100 21.3100 21.6800 21.9200 21.4400 21.6450 21.5600 21.1000 21.5150 21.6650 21.9300 21.7750 21.3600 21.1200 21.6600 21.2000 21.3450 21.7750 21.1550 20.3350 20.6350 22.1950 21.9250 21.3000 21.3400 21.6500 21.4200 21.0450 21.5300 21.1850 20.5350 20.4250 19.8450 19.4150 19.8650 18.9250 19.5500 19.3750 19.5800 19.7850 20.4200 20.6100 20.6350 20.7250 20.8250 21.0900 21.3200 22.0700 22.0100 22.3750 22.4250 22.5500 21.9600 21.9750 22.4300 22.6700 22.4850 22.4950 22.3100 22.4950 22.4950 22.3650 22.1050 22.5150 22.5500 22.5100 22.1650 21.5450 21.4650 21.4600 21.3950 21.1200 21.1400 21.3550 21.5250 21.2350 21.5850 21.5700 21.4700 21.4000 21.4600 21.3750 22.2000 21.8150 22.4500 22.4800 23.0350 23.3200 23.5000 23.3400 23.6500 23.6050 23.3150 23.4500 24.5800 24.5100 24.8300 24.5450 24.8800 24.7200 24.6900 24.5450 24.2050 24.2900 24.4450 24.0550 23.9150 23.9650 24.7750 24.4050 23.9950 23.9000 23.7500 23.9250 24.0650 24.1450 23.9950 24.5900 24.4400 24.5000 24.3200 24.2550 24.3550 24.1550 24.5250 24.6450 25.2650 25.3950 25.1600 25.5150 25.1750 24.5650 24.5900 24.6800 24.7600 24.6950 24.6400 24.8350 24.9200 24.8000 24.7500 24.5850 24.6950 24.6700 24.7200 24.5200 24.2300 24.0600 24.2350 24.3500 24.3050 24.6800 24.7100 24.9550 24.5300 24.3700 24.5900 24.7200 24.5300 24.3850 24.2650 24.9000 24.7900 24.9750 25.2050 25.3150 25.2900 25.7550 26.0800 26.2250 26.3350 26.7100 26.8800 26.5000 26.4250 26.2900 26.1700 26.4850 26.5650 26.6550 26.8500 26.5600 26.9350 26.9000 27.1600 27.4050 27.2950 27.3250 27.3950 27.4000 27.4200 27.4600 27.5050 27.3950 27.0350 27.0350 27.0750 26.6200 26.6150 26.7300 26.7550 27.0450 26.6550 26.8600 26.5600 26.7450 27.2000 27.2450 27.7400 27.9050 28.0650 27.9700 28.2300 28.3700 28.4350 28.2900 28.4400 28.7400 29.1200 29.0950 29.0550 28.5900 28.6000 29.0400 28.9800 28.6350 28.7450 28.9350 28.8400 28.9150 29.2900 29.5550 29.5200 29.5300 29.2100 28.4900 28.4600 28.5900 28.6350 28.6450 28.7200 28.7200 28.8700 28.8400 28.5000 28.5200 28.1750 28.1650 28.0950 27.5750 28.1350 28.4400 28.5150 28.5650 28.1450 28.2100 27.7500 27.1850 27.1200 27.1750 27.0700 27.2550 27.0900 27.1250 27.1900 27.5250 27.4350 26.7150 26.5450 26.3250 27.0050 26.8950 27.1100 26.9900 27.4100 27.6650 27.9550 27.8600 27.6900 27.4150 27.5800 26.5600 26.3600 26.6350 26.6500 26.9650 27.2350 27.3500 27.2300 27.0900 27.1000 26.8000 26.6750 26.8250 26.8500 26.9200 26.9750 27.3750 27.2700 27.6500 27.3100 27.4000 27.3250 27.3850 27.4350 27.5000 27.6500 27.4300 27.1450 26.9100 26.8800 27.2950 27.3800 27.5100 27.4750 27.1300 27.4850 27.6600 27.2350 27.0950 27.1550 26.9400 26.8650 26.4350 26.6800 26.8700 26.7250 26.8800 26.5900 26.8300 26.1500 26.3350 27.0200 26.8050 27.0100 26.7450 26.6700 26.7050 26.5500 26.5600 25.7700 25.7950 25.7300 25.3100 25.0400 25.6150 25.7000 25.6450 26.2050 26.3750 25.6350 25.4000 25.7800 25.6750 26.2250 25.8250 25.7550 26.0900 26.2000 26.1800 26.1550 26.2400 26.2300 26.1200 25.9000 25.1300 25.5400 25.1650 25.0600 25.0150 25.0250 25.2150 25.7350 26.2100 26.2000 26.2250 26.3600 26.4100 26.4250 26.1850 26.1350 26.6200 27.0400 27.1300 27.3750 27.4700 27.5250 27.4400 27.4950 27.5550 28.2050 28.1900 28.2750 28.1850 28.3750 28.5550 28.4900 28.0200 27.8450 27.8650 27.9400 28.0600 27.9200 27.6400 27.6500 27.8000 27.8300 27.6950 27.5800 28.0800 27.7750 27.9413 28.6550 28.6900 28.7800 28.8150 28.9150 29.1450 29.2600 29.0150 28.7950 28.7100 28.7550 28.7800 28.9850 29.0550 29.1150 28.9350 29.3100 29.3000 29.5500 29.3800 29.2600 29.5600 29.4400 29.8300 29.9000 29.7200 29.7050 29.7800 29.8000 29.9700 29.9550 29.9700 30.0000 30.1700 30.5750 30.7350 30.8050 30.5050 30.6200 30.5950 30.6050 30.6600 30.8550 30.9300 30.9750 31.2250 31.2900 31.2300 31.3200 31.2750 31.4000 31.4600 31.4800 31.0400 31.2600 31.9200 32.1600 32.1350 31.8100 32.3050 32.0550 31.6950 31.5850 32.3500 32.4500 32.2500 31.9950 32.0700 32.1950 32.4150 32.3250 32.4250 31.9500 32.3700 32.6700 32.8500 32.6550 32.7450 32.7950 32.7900 32.5350 32.6800 32.7250 32.7500 32.8850 32.6100 31.9350 31.7450 31.5150 31.4600 31.5300 31.3450 31.5200 31.7000 31.5650 31.7400 31.7100 31.4650 31.3850 31.6250 31.4800 31.4800 31.3500 31.1050 31.4250 31.5250 31.4300 31.2850 31.2800 31.2600 31.4350 31.5750 31.7700 31.7850 31.5700 31.5950 31.7000 32.2750 32.2750 31.8800 31.9550 31.9400 32.1550 31.9600 32.4550 32.2150 32.7850 32.6050 32.6100 32.8200 32.8100 32.6450 32.4050 31.9700 31.5150 30.8000 31.1400 31.3500 31.7850 31.7550 32.1350 32.3450 32.6100 32.5150 32.8600 33.0200 33.1700 33.6100 33.8300 33.7350 33.8150 33.7200 33.6350 33.7000 33.4500 33.6400 34.1550 34.0050 33.6550 33.5450 33.9250 33.9400 33.8700 33.4650 33.5000 33.7050 33.7300 33.8600 33.9400 33.7300 33.3500 33.4500 33.4750 33.6700 33.6600 34.1550 34.0900 33.9150 33.9950 34.1500 34.2300 34.1500 33.7450 33.7350 33.4550 33.3500 33.2550 33.4050 33.3800 33.0200 32.7650 32.7100 32.6000 32.7000 32.9450 32.6950 32.5600 32.8050 32.4850 32.7450 32.8100 32.9150 33.1300 33.2000 32.4900 32.4650 32.6050 33.0150 33.3550 33.6450 34.0450 34.1500 34.2650 34.3750 34.3400 34.0500 33.9250 34.0300 33.8350 33.7650 33.5600 34.6600 34.4350 34.6700 34.8650 34.6300 34.5950 34.3450 34.4050 34.0050 33.8650 33.5350 34.2000 32.9100 33.3850 32.5600 33.3400 31.9800 33.2350 33.5700 34.1000 34.0850 34.6400 33.8800 33.5500 33.6350 34.5300 34.8400 33.9850 34.2500 34.8650 34.9300 35.2250 35.2250 34.8700 34.7150 35.4000 35.5850 34.6850 34.6900 34.5500 34.8850 35.5100 35.6150 35.2450 35.3250 34.6400 33.9100 33.7100 34.3800 34.7850 34.0300 34.5250 33.7800 32.7100 32.6150 32.7650 32.6950 32.9500 33.4500 33.4000 33.7400 33.7000 33.9250 33.5000 33.3700 33.5150 33.5600 34.0950 33.9350 33.4750 33.7350 34.2850 34.4650 34.1600 33.5200 33.8850 34.3250 33.8900 34.1050 34.3250 33.5150 33.6950 34.0600 33.8950 34.0000 33.5050 33.3100 33.6950 32.9750 32.9850 32.4350 32.3700 32.5850 33.0950 33.6150 33.4150 33.1900 33.1550 33.3400 33.3900 33.3650 33.7850 33.4450 33.2400 33.1300 33.4450 33.7200 33.6850 34.2000 34.7850 34.5950 34.9700 34.9400 34.7550 35.0800 34.9850 35.0700 34.8500 34.6850 34.4650 34.4650 34.6700 34.0300 33.7850 33.4950 33.6750 33.7950 33.7250 34.0450 34.2650 33.9500 34.2150 34.0050 33.7200 33.7300 33.7650 33.9250 33.9150 34.0400 34.0150 34.2750 34.1650 33.9850 33.9700 34.2200 34.4500 34.2000 34.4300 34.5250 34.4100 34.6250 34.5900 34.5000 34.4150 34.4250 34.9300 34.8000 34.5900 34.6150 34.3800 34.3950 34.6350 34.7550 35.0750 35.1250 35.1100 35.1650 35.0800 35.2000 35.2950 35.5600 35.7100 35.7450 35.9500 35.9350 36.3300 36.9050 37.0050 37.0700 36.8800 36.7300 36.7350 36.4350 36.0100 36.0600 36.1100 35.9700 36.2200 36.9750 37.0850 36.9100 37.0650 36.8450 37.0600 37.4650 37.8550 38.3150 38.1600 38.4650 38.5800 38.7200 38.5000 38.6400 38.5700 38.3900 38.7050 38.7350 38.4350 38.2850 38.1650 37.5600 37.0250 37.2550 37.0950 37.2750 37.7800 37.6150 37.7300 37.5300 37.3650 36.5450 36.8200 36.6200 37.3050 37.1400 37.6200 37.3300 37.6000 37.3450 37.8700 38.0450 37.9900 37.8700 37.7800 37.3350 37.4700 37.3850 37.5400 38.1700 38.2850 39.0950 39.4600 39.5800 39.2250 39.0750 38.9900 38.9900 38.7300 38.3200 38.6400 38.2400 38.8450 38.7200 38.7750 38.5150 38.4400 38.3300 38.5100 39.4250 40.0050 40.5600 40.4000 40.5050 39.8750 40.4150 40.3200 39.8850 39.7800 39.6200 39.3950 39.3000 39.3800 39.3500 39.5500 39.5300 39.4700 39.2600 38.7700 38.1100 38.4700 38.1700 38.0000 37.4600 37.1400 37.4000 37.2800 37.5100 38.1500 37.9000 37.6600 37.7700 37.5500 38.3500 38.1200 38.3500 38.6200 38.5200 38.6400 38.0300 38.1200 37.6800 37.7600 38.3100 37.9300 38.3800 38.3400 38.2400 38.3300 38.5800 38.5800 38.5600 38.0900 38.1100 38.2300 38.1300 37.9000 37.7400 37.8400 37.4000 37.2300 36.6100 36.8800 37.0900 37.0400 37.1800 37.3300 37.0800 36.7700 37.4200 36.7200 36.3600 36.2900 36.0800 36.1600 36.0100 36.4300 36.5600 37.2400 37.2500 37.3900 37.9300 37.3600 37.4200 37.5600 37.9700 37.9200 37.3800 37.1500 37.3100 37.3800 37.7100 37.6400 37.8600 37.6400 37.6000 37.6600 37.5000 37.2800 36.7800 37.0500 36.8900 36.7300 36.4200 36.4200 35.9700 36.2500 37.6000 37.6000 37.6600 37.3000 37.0400 37.0300 36.9600 36.9100 36.9900 37.3200 37.3200 37.5100 37.7000 37.1300 37.1300 37.1100 37.0500 37.0100 37.4200 37.5000 37.2400 37.5400 37.3500 38.1400 38.3100 38.9100 38.7700 38.6100 37.5600 37.2100 36.8400 37.4200 37.6700 37.7300 37.7100 38.5200 37.7200 38.1100 38.4500 38.7200 38.7000 38.8200 38.6800 39.0200 39.1200 39.2200 39.3100 38.9600 38.5900 39.0200 38.8300 38.7600 39.3300 39.8700 40.0700 40.0400 40.1200 40.6900 40.2200 40.4400 40.4500 40.7200 40.1700 40.5400 40.0800 40.8600 40.7100 41.0700 41.1800 41.0800 40.0900 42.3700 42.5500 42.1000 42.6600 42.7200 42.7000 42.1500 42.3500 42.1000 42.2400 42.3300 42.2100 41.9600 42.2400 42.0800 42.7000 42.4600 42.1200 42.1500 42.1900 42.5200 42.9200 43.0900 42.9700 42.3800 42.3400 42.2500 41.9300 42.2400 42.5500 41.4000 40.7700 39.9900 40.8100 41.4200 40.6500 40.7900 41.4100 41.1800 40.7900 40.3900 40.4100 40.3400 40.6800 40.9300 40.4100 39.1300 39.7600 39.5300 39.7200 40.3300 40.2600 40.1100 40.4600 40.3700 40.4900 40.5200 40.5400 40.8300 40.6800 41.0300 41.0300 41.0100 40.2300 40.8400 40.8100 41.0900 40.8400 40.9600 40.8600 40.8400 40.6400 40.2800 40.3200 40.0800 40.5700 40.2200 40.2900 40.3700 40.1500 40.2000 40.1600 39.8300 39.6500 39.5300 39.0900 39.0500 38.7800 38.6500 38.2800 38.3100 38.5200 38.1200 38.1500 38.3500 38.1000 38.1800 37.9000 38.5400 38.2400 38.3500 38.5200 38.6300 38.7800 38.4400 38.6900 38.8600 38.7900 39.5900 39.3100 39.4000 38.6300 38.5300 38.3300 38.7400 38.4000 37.8800 37.9500 37.4300 37.1600 37.2000 37.0500 37.2800 37.0800 37.7800 37.7700 37.9100 37.6600 38.0000 38.5500 38.7800 38.8200 39.0900 39.0900 38.8000 39.0300 39.6100 39.8000 39.6200 39.5700 39.6100 39.5100 39.5000 40.0500 39.8300 40.0500 39.8700 39.8800 40.1200 40.2100 40.2200 40.1700 40.1400 40.0600 40.4300 40.4300 40.3700 40.2500 40.1900 40.1900 40.0800 40.3500 40.3700 39.8300 40.4600 40.4000 39.8500 40.1300 39.2100 39.2300 39.2700 39.1000 40.0200 39.8600 40.0400 40.1600 40.1900 40.4900 40.6600 41.0900 41.3100 40.6600 40.4600 40.2700 40.3900 39.9400 39.7300 40.1300 39.5300 39.6900 39.7600 39.7100 39.2800 39.9200 39.9000 39.2400 38.8400 38.7300 38.8700 37.9000 38.1700 37.8200 37.2000 37.4800 37.6100 38.0300 37.9500 38.5700 38.6400 38.5100 38.6500 38.9300 37.4700 37.1000 37.3000 37.1800 37.5000 37.7700 37.8700 38.0700 38.2000 38.1200 38.3100 38.3500 38.4700 38.5500 38.6500 38.8000 38.4700 37.9700 38.1700 38.2700 38.4000 38.1400 38.4500 38.4400 38.4000 38.6200 38.6100 38.8200 38.9500 38.6600 38.4100 38.3300 38.0700 38.2200 38.6200 38.9000 38.9900 38.8900 38.6300 38.7300 40.1800 40.5900 40.7200 40.7500 40.7100 40.7300 40.7000 41.0100 41.0300 40.5700 40.7900 40.7800 40.9500 40.7600 40.4900 40.9100 40.7300 40.8700 40.8200 41.1100 40.8900 40.5200 40.8900 40.7100 40.5800 40.8700 40.5800 40.5800 40.7700 40.5800 40.6600 40.9100 40.8600 40.8800 40.7900 40.8900 40.9900 40.9100 41.0700 40.8600 40.4200 40.3700 40.6600 40.9200 41.5600 41.7900 41.6900 41.7300 41.8500 41.9600 42.0300 42.1900 42.3600 42.2900 42.2900 42.2300 42.1400 41.9400 41.9500 42.2600 41.9700 42.3800 42.1000 42.1200 42.0200 42.4300 42.4000 41.1900 40.8100 40.9700 41.0000 40.6800 40.3500 39.6200 39.2900 39.2900 39.4000 39.1800 39.9200 39.3500 39.4500 39.5700 39.6800 39.9400 40.1800 40.8800 41.3500 41.2600 41.2500 41.4100 41.1200 41.4100 41.6000 41.6000 41.6300 41.7200 41.6400 41.7800 41.8700 41.8400 41.7800 41.9400 42.1700 41.9500 41.4600 41.5000 41.6400 41.6100 41.7900 42.0500 42.2200 41.8900 42.2700 41.7800
Sample Range:
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From:
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Seasonal Period
12
12
4
6
12
Chart options
R Code
par1 <- as.numeric(par1) (n <- length(x)) (np <- floor(n / par1)) arr <- array(NA,dim=c(par1,np)) j <- 0 k <- 1 for (i in 1:(np*par1)) { j = j + 1 arr[j,k] <- x[i] if (j == par1) { j = 0 k=k+1 } } arr arr.mean <- array(NA,dim=np) arr.sd <- array(NA,dim=np) arr.range <- array(NA,dim=np) for (j in 1:np) { arr.mean[j] <- mean(arr[,j],na.rm=TRUE) arr.sd[j] <- sd(arr[,j],na.rm=TRUE) arr.range[j] <- max(arr[,j],na.rm=TRUE) - min(arr[,j],na.rm=TRUE) } arr.mean arr.sd arr.range (lm1 <- lm(arr.sd~arr.mean)) (lnlm1 <- lm(log(arr.sd)~log(arr.mean))) (lm2 <- lm(arr.range~arr.mean)) bitmap(file='test1.png') plot(arr.mean,arr.sd,main='Standard Deviation-Mean Plot',xlab='mean',ylab='standard deviation') dev.off() bitmap(file='test2.png') plot(arr.mean,arr.range,main='Range-Mean Plot',xlab='mean',ylab='range') dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Standard Deviation-Mean Plot',4,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Section',header=TRUE) a<-table.element(a,'Mean',header=TRUE) a<-table.element(a,'Standard Deviation',header=TRUE) a<-table.element(a,'Range',header=TRUE) a<-table.row.end(a) for (j in 1:np) { a<-table.row.start(a) a<-table.element(a,j,header=TRUE) a<-table.element(a,arr.mean[j]) a<-table.element(a,arr.sd[j] ) a<-table.element(a,arr.range[j] ) 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,'Regression: S.E.(k) = alpha + beta * Mean(k)',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'alpha',header=TRUE) a<-table.element(a,lm1$coefficients[[1]]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'beta',header=TRUE) a<-table.element(a,lm1$coefficients[[2]]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'S.D.',header=TRUE) a<-table.element(a,summary(lm1)$coefficients[2,2]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'T-STAT',header=TRUE) a<-table.element(a,summary(lm1)$coefficients[2,3]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'p-value',header=TRUE) a<-table.element(a,summary(lm1)$coefficients[2,4]) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable1.tab') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'alpha',header=TRUE) a<-table.element(a,lnlm1$coefficients[[1]]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'beta',header=TRUE) a<-table.element(a,lnlm1$coefficients[[2]]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'S.D.',header=TRUE) a<-table.element(a,summary(lnlm1)$coefficients[2,2]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'T-STAT',header=TRUE) a<-table.element(a,summary(lnlm1)$coefficients[2,3]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'p-value',header=TRUE) a<-table.element(a,summary(lnlm1)$coefficients[2,4]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Lambda',header=TRUE) a<-table.element(a,1-lnlm1$coefficients[[2]]) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable2.tab')
Compute
Summary of computational transaction
Raw Input
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Raw Output
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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