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38 lines (30 loc) · 974 Bytes
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# Instalando e Caregando Bibliotecas
install.packages("bibliometrix")
library("bibliometrix")
install.packages("rsm")
library(rsm)
install.packages("lmtest")
library(lmtest)
# Função para utizar o Bibliometrix
biblioshiny()
# Criaçãodo DataFrame
Ordem <- c(1, 2, 3, 4, 5, 6, 7)
T <- c(-1, -1, 1, 1, 0, 0, 0)
C <- c(-1, 1, -1, 1, 0, 0, 0)
y <- c(13419, 18950, 16381, 17675, 16422, 16673, 16852)
df <- data.frame(Ordem, T, C, y)
print(df)
# Criação e Avaliação do Modelo
modelo1 <- lm(y~T*C,data=df)
summary(modelo1)
anov <- aov(modelo1)
summary(anov)
shapiro.test(modelo1$residuals)
bptest(modelo1)
# Criação do Modelo2 para melhor visualização
T1<-c(200,200,250,250,225,225,225)
C1<-c(0.1,0.3,0.1,0.3,0.2,0.2,0.2)
y <- c(13419, 18950, 16381, 17675, 16422, 16673, 16852)
modelo2 <-lm(y~T1*C1)
persp(modelo2,C1~T1,zlab="MW",col=rainbow(50), contours="colors")
legend("bottomright",legend=c("C1−Catalisador","T1−Temperatura"), cex=0.75, pt.cex=0.75)