df<-read.csv("Cyproconazole.csv")
df
## Conc SolvArea MatArea
## 1 0.1 8954.362 6653.599
## 2 0.5 14246.035 10396.710
## 3 2.0 31971.220 25477.647
## 4 5.0 55827.935 43897.521
## 5 20.0 161227.412 126715.373
## 6 50.0 295344.068 248193.188
## 7 100.0 408306.020 362952.037
Curvas del ciproconazol: Efecto de la Matriz
ysolv<-df$SolvArea
ymat<-df$MatArea
x<-df$Conc
modelo<-lm(ymat~x+I(x*x))
s<-summary(modelo)
LOD<-s$coefficients[1,2]/s$coefficients[1]*3.3*8
b0mat=s$coefficients[1]
b1mat=s$coefficients[2]
b2mat=s$coefficients[3]
xs <- seq(0, 100, by=0.1)
ycalc1=b0mat+b1mat*xs+b2mat*xs*xs
yexpMat=modelo$fitted.values
modelo<-lm(ysolv~x+I(x*x))
s<-summary(modelo)
b0solv=s$coefficients[1]
b1solv=s$coefficients[2]
b2solv=s$coefficients[3]
xs <- seq(0, 100, by=0.1)
ycalc2=b0solv+b1solv*xs+b2solv*xs*xs
yexpMat=modelo$fitted.values
print(s)
##
## Call:
## lm(formula = ysolv ~ x + I(x * x))
##
## Residuals:
## 1 2 3 4 5 6 7
## -6386 -4120 2362 4227 9562 -7000 1356
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 14582.288 3949.238 3.692 0.020974 *
## x 7586.805 313.256 24.219 1.72e-05 ***
## I(x * x) -36.631 3.165 -11.575 0.000318 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 7475 on 4 degrees of freedom
## Multiple R-squared: 0.9985, Adjusted R-squared: 0.9977
## F-statistic: 1325 on 2 and 4 DF, p-value: 2.271e-06
n=length(x)
plot(x,ymat,main="Ciproconazol",xlab="[Ciproconazol](ug/Kg)",ylab="Area", ylim=c(0,450000))
points(x,ysolv,col="blue")
lines(xs,ycalc1,lty=1)
lines(xs,ycalc2,lty=1,col="blue")

yr=ycalc1/ycalc2*100
plot(xs,yr,type="l",col="orange",main="Ciproconazol: %Efecto de Matriz",xlab="[Ciproconazol](ug/Kg)",ylab="%EM", ylim=c(0,100))
