file.choose()
[1] "C:\\Users\\Lisbeth\\Downloads\\DISEÑO EXPERIMENTAL (TRABAJOS)\\SULFATOS.xlsx"
ruta_propulsora <- "C:\\Users\\Lisbeth\\Downloads\\DISEÑO EXPERIMENTAL (TRABAJOS)\\SULFATOS.xlsx"
excel_sheets(ruta_propulsora)
[1] "Hoja1"
Propul<-read_excel(ruta_propulsora)
print(head(Propul))
view(Propul)
attach(Propul)
names(Propul)
[1] "Año" "Tipo de agua" "COD. Muestra" "Distrito"
[5] "Provincia" "Aspecto" "Color" "Olor"
[9] "Sabor" "sulfatos (mg/L)"
summary(Propul)
Año Tipo de agua COD. Muestra Distrito
Min. :2012 Length:1718 Length:1718 Length:1718
1st Qu.:2014 Class :character Class :character Class :character
Median :2017 Mode :character Mode :character Mode :character
Mean :2017
3rd Qu.:2021
Max. :2027
Provincia Aspecto Color Olor
Length:1718 Length:1718 Length:1718 Length:1718
Class :character Class :character Class :character Class :character
Mode :character Mode :character Mode :character Mode :character
Sabor sulfatos (mg/L)
Length:1718 Length:1718
Class :character Class :character
Mode :character Mode :character
str(Propul)
tibble [1,718 × 10] (S3: tbl_df/tbl/data.frame)
$ Año : num [1:1718] 2012 2012 2012 2012 2012 ...
$ Tipo de agua : chr [1:1718] "Agua potable" "Agua potable" "Agua potable" "Agua potable" ...
$ COD. Muestra : chr [1:1718] "2903" "2936" "3104" "2977" ...
$ Distrito : chr [1:1718] "Chupa" "0" "Ilave" "Orurillo" ...
$ Provincia : chr [1:1718] "Azangaro" "Carabaya" "Ilave" "Melgar" ...
$ Aspecto : chr [1:1718] "Liquido" "Liquido" "Solido" "Liquido" ...
$ Color : chr [1:1718] "Incoloro" "Incoloro" "Café" "Incoloro" ...
$ Olor : chr [1:1718] "Inodoro" "Inodoro" "Inodoro" "Inodoro" ...
$ Sabor : chr [1:1718] "Insipido" "Insipido" "Insipido" "Insipido" ...
$ sulfatos (mg/L): chr [1:1718] "4" "4" "4" "760" ...
YEAR <- factor(Propul$`Año`)
TYPEOFWATER <- factor(Propul$`Tipo de agua`)
COD <- factor(Propul$`COD. Muestra`)
DISTRIC <- factor(Propul$`Distrito`)
PROVINCE <- factor(Propul$`Provincia`)
ASPECT <- factor(Propul$`Aspecto`)
COLOR <- factor(Propul$`Color`)
SMELL <- factor(Propul$`Olor`)
FLAVOR <- factor(Propul$`Sabor`)
SULFATES <- factor(Propul$`sulfatos (mg/L)`)
SULFATES1<-as.numeric(SULFATES)
par(mfrow=c(1,1))
boxplot(split(SULFATES1,YEAR),xlab="Año", ylab="Sulfatos")
boxplot(split(SULFATES1,TYPEOFWATER),xlab="Tipodeagua", ylab="Sulfatos")
boxplot(split(SULFATES1,COD),xlab="COD.Muestra", ylab="Sulfatos")
boxplot(split(SULFATES1,DISTRIC),xlab="Distrito", ylab="Sulfatos")
boxplot(split(SULFATES1,PROVINCE),xlab="Provincia", ylab="Sulfatos")
boxplot(split(SULFATES1,ASPECT),xlab="Aspecto", ylab="Sulfatos")
boxplot(split(SULFATES1,COLOR),xlab="Color", ylab="Sulfatos")
boxplot(split(SULFATES1,SMELL),xlab="Olor", ylab="Sulfatos")
boxplot(split(SULFATES1,FLAVOR),xlab="Sabor", ylab="Sulfatos")
#Análisis de varianza usando la función (aov) Analysis of Variance
prop.aov<-aov(SULFATES1 ~ YEAR+TYPEOFWATER+COD+DISTRIC+PROVINCE+ASPECT+COLOR+SMELL+FLAVOR+SULFATES)
anova(prop.aov)
Warning: ANOVA F-tests on an essentially perfect fit are unreliable
Analysis of Variance Table
Response: SULFATES1
Df Sum Sq Mean Sq F value Pr(>F)
YEAR 9 5584148 620461 5.8219e+27 < 2.2e-16 ***
TYPEOFWATER 86 17795307 206922 1.9416e+27 < 2.2e-16 ***
COD 935 45584760 48754 4.5746e+26 < 2.2e-16 ***
DISTRIC 74 3988277 53896 5.0571e+26 < 2.2e-16 ***
PROVINCE 12 598659 49888 4.6811e+26 < 2.2e-16 ***
ASPECT 3 65074 21691 2.0353e+26 < 2.2e-16 ***
COLOR 9 432157 48017 4.5055e+26 < 2.2e-16 ***
SMELL 7 419673 59953 5.6255e+26 < 2.2e-16 ***
FLAVOR 3 29946 9982 9.3661e+25 < 2.2e-16 ***
SULFATES 232 12446708 53650 5.0340e+26 < 2.2e-16 ***
Residuals 326 0 0
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1