Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data X:
34 33 29 34 32 35 41 27 40 40 36 40 43 40 33 37 32 26 36 39 38 34 35 41 42 36 39 33 33 36 37 36 34 32 35 39 30 25 29 39 31 26 28 40 32 35 32 41 34 36 38 34 32 34 32 40 43 35 45 36 39 31 36 36 37 40 35 36 32 36 37 42 37 36 36 33 37 35 37 28 33 45 38 43 37 36 40 39 43 32 37 34 44 35 34 37 40 36 44 35 34 40 34 39 36 40 37 35 45 39 39 37 38 46 37 27 33 42 33 33 33 38 37 35 33 39 38 39 38 30 43 34 39 36 32 37 42 40 35 39 34 28 30 36 31 34 33 37 40 39 42 47 38 38 40 37 29 37 37 33 31 36 37 39 35 33 37 42 31 32 36 32 40 32 30 37 42 37 47 37 31 41 44 40 37 33 35 40 38 36 36 35 30 37 43 33 39 38 40 29 35 37 26 28 38 29 35 38 39 44 33 35 42 30 36 40 39 36 37 37 37 36 30 32 35 42 41 35 33 39 34 39 41 34 30 29 33 40 32 37 37 36 41 34 38 40 42 32 40 38 35 34 38 24 39 42 44 35 37 34 41 33 42 30 30 40 49 39 29 39 35 35 34 24 47 24 30 34 41 32 32 35 37 40 45 35 39 46 33 40 35 38 36 34 30 44 37 36 37 34 43 31 34 38 38 34 26 36 35 37 40 43 29 30 36 38 43 41 31 36 44 35 42 31 38 34 40 41 30 43
Data Y:
30 28 31 35 35 37 39 31 38 37 37 35 37 42 28 37 36 37 33 40 30 36 33 40 37 37 39 35 36 34 36 32 33 27 37 32 31 31 32 37 25 30 37 37 40 35 35 43 32 42 35 27 30 31 36 36 41 34 36 33 35 28 33 38 37 39 34 32 36 36 35 33 42 36 33 36 32 35 38 33 32 38 39 39 39 30 38 38 42 41 31 39 40 31 34 23 28 36 41 29 31 33 35 35 34 40 34 36 35 39 33 37 40 32 37 27 35 37 32 31 31 38 34 30 34 37 38 33 35 27 34 35 39 35 34 36 36 32 39 40 35 31 35 38 37 31 32 35 39 31 39 48 33 36 40 37 34 42 39 28 26 30 30 39 37 40 38 35 33 34 33 41 36 27 33 38 31 31 46 33 34 47 36 38 32 33 34 34 37 37 41 27 31 38 30 36 30 34 32 29 29 39 32 30 39 30 40 41 38 37 33 34 36 39 41 42 38 40 32 40 37 36 28 36 35 32 38 32 39 39 31 33 46 38 24 28 35 39 37 38 38 32 36 28 38 28 37 28 40 34 33 32 30 33 37 39 42 36 35 32 35 33 36 31 32 38 46 39 31 39 36 37 33 22 42 28 28 31 36 37 35 31 37 38 46 40 43 49 39 37 36 31 32 38 37 36 21 32 36 35 39 28 42 36 41 30 18 37 28 39 40 44 26 34 37 37 32 29 31 32 44 39 39 35 36 33 35 35 30 38
Sample Range:
(leave blank to include all observations)
From:
To:
bandwidth of density plot
(?)
Chart options
Label y-axis:
Label x-axis:
R Code
par1 <- as.numeric(par1) library(lattice) z <- as.data.frame(cbind(x,y)) m <- lm(y~x) summary(m) bitmap(file='test1.png') plot(z,main='Scatterplot, lowess, and regression line') lines(lowess(z),col='red') abline(m) grid() dev.off() bitmap(file='test2.png') m2 <- lm(m$fitted.values ~ x) summary(m2) z2 <- as.data.frame(cbind(x,m$fitted.values)) names(z2) <- list('x','Fitted') plot(z2,main='Scatterplot, lowess, and regression line') lines(lowess(z2),col='red') abline(m2) grid() dev.off() bitmap(file='test3.png') m3 <- lm(m$residuals ~ x) summary(m3) z3 <- as.data.frame(cbind(x,m$residuals)) names(z3) <- list('x','Residuals') plot(z3,main='Scatterplot, lowess, and regression line') lines(lowess(z3),col='red') abline(m3) grid() dev.off() bitmap(file='test4.png') m4 <- lm(m$fitted.values ~ m$residuals) summary(m4) z4 <- as.data.frame(cbind(m$residuals,m$fitted.values)) names(z4) <- list('Residuals','Fitted') plot(z4,main='Scatterplot, lowess, and regression line') lines(lowess(z4),col='red') abline(m4) grid() dev.off() bitmap(file='test5.png') myr <- as.ts(m$residuals) z5 <- as.data.frame(cbind(lag(myr,1),myr)) names(z5) <- list('Lagged Residuals','Residuals') plot(z5,main='Lag plot') m5 <- lm(z5) summary(m5) abline(m5) grid() dev.off() bitmap(file='test6.png') hist(m$residuals,main='Residual Histogram',xlab='Residuals') dev.off() bitmap(file='test7.png') if (par1 > 0) { densityplot(~m$residuals,col='black',main=paste('Density Plot bw = ',par1),bw=par1) } else { densityplot(~m$residuals,col='black',main='Density Plot') } dev.off() bitmap(file='test8.png') acf(m$residuals,main='Residual Autocorrelation Function') dev.off() bitmap(file='test9.png') qqnorm(x) qqline(x) grid() dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Simple Linear Regression',5,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Statistics',1,TRUE) a<-table.element(a,'Estimate',1,TRUE) a<-table.element(a,'S.D.',1,TRUE) a<-table.element(a,'T-STAT (H0: coeff=0)',1,TRUE) a<-table.element(a,'P-value (two-sided)',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'constant term',header=TRUE) a<-table.element(a,m$coefficients[[1]]) sd <- sqrt(vcov(m)[1,1]) a<-table.element(a,sd) tstat <- m$coefficients[[1]]/sd a<-table.element(a,tstat) pval <- 2*(1-pt(abs(tstat),length(x)-2)) a<-table.element(a,pval) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'slope',header=TRUE) a<-table.element(a,m$coefficients[[2]]) sd <- sqrt(vcov(m)[2,2]) a<-table.element(a,sd) tstat <- m$coefficients[[2]]/sd a<-table.element(a,tstat) pval <- 2*(1-pt(abs(tstat),length(x)-2)) a<-table.element(a,pval) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
view raw output of R engine
Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation