More Related Content Similar to Joclad 2010 d (20) Joclad 2010 d11. plot( ) - caso unidimensional
(base de dados "iris" dispon´vel no R)
ı
>iris.joclad<-iris
>names(iris.joclad)<-c(Comp.S´pala,"Larg.S´pala",
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"Comp.P´tala","Larg.P´tala", "Esp´cies")
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>plot(Comp.S´pala)
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13. plot( ) - caso bidimensional
>iris.joclad<-iris
>names(iris.joclad)<-c(Comp.S´pala,"Larg.S´pala","Comp.P´tala",
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"Larg.P´tala", "Esp´cies")
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>plot(Comp.S´pala,Comp.P´tala)
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14. plot( )
>iris.joclad<-iris
>names(iris.joclad)<-c(Comp.S´pala,"Larg.S´pala","Comp.P´tala",
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"Larg.P´tala", "Esp´cies")
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>plot(Comp.S´pala,Comp.P´tala, xlab="Comprimento S´pala
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(cm)", ylab="Comprimento P´tala (cm)", col=3, pch=6)
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>abline(lm(Comp.P´tala Comp.S´pala),col=2)
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16. barplot( ) - unidimensional
>require(grDevices) # for colours
>tN <- table(Ni <- stats::rpois(1000, lambda=4))
>barplot(tN, col=rainbow(20))
17. barplot( ) - multidimensional
>barplot(height = cbind(Jovem = c(465, 91) / 465 * 100,
Adulto = c(840, 200) / 840 * 100, Idoso = c(37, 17) / 37
* 100), beside = FALSE, width = c(465, 840, 37), col =
c(1, 2), legend.text = c("Antes tratamento", "Ap´s
o
tratamento"), args.legend = list(x = "topleft"))
19. hist( )
>hist(Comp.P´tala, breaks = "Sturges", + main =
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paste("Histograma"), + xlab = "Comprimentos das P´talas
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(cm)", ylab="Frequˆncia", + axes = TRUE, plot = TRUE,
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ylim=c(0,40), col=c(1,2,3,4,5,6,7,8,9,10,11,12))
22. barchart( )
>barchart(peso,variedade | local, data = cevada, groups
= ano, layout = c(1,6), stack = TRUE, auto.key =
list(points = FALSE, rectangles = TRUE, space =
"right"), ylab = "Peso de cevada (Ton./ha)", scales =
list(x = list(rot = 45)))
25. histogram( )
>histogram( altura | voz, data = cantor, nint = 17,
endpoints = c(59.5, 76.5), layout = c(2,4), aspect = 1,
xlab = "Altura (polegadas)")
27. cloud( )
>par.set <- list(axis.line = list(col = "transparent"), clip = list(panel = "off"))
print(cloud(Larg.S´pala
e Comp.P´tala * Larg.P´tala, data = iris, cex = .8, groups =
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Esp´cies, screen = list(z = 20, x = -70, y = 3), par.settings = par.set, scales =
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list(col = "black")), split = c(1,1,2,1), more = TRUE) print(cloud(Comp.S´pala
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Comp.P´tala * Larg.P´tala, data = iris, cex = .8, groups = Esp´cies, screen = list(z
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= 20, x = -70, y = 0), par.settings = par.set, scales = list(col = "black")), split =
c(2,1,2,1))
28. biplot e triplot)
> library(agricolae)
> library(klaR)
> data(Oat2)
> startgraph
> biplot
> model<- AMMI(Oat2[,1], Oat2[,2], Oat2[,3], Oat2[,4],xlim=c(-35,20),ylim=c(-20,20),
graph="biplot")
> model<- AMMI(Oat2[,1], Oat2[,2], Oat2[,3], Oat2[,4],xlim=c(-35,20),ylim=c(-20,20),
graph="biplot",number=FALSE)
> triplot
> model<- AMMI(Oat2[,1], Oat2[,2], Oat2[,3], Oat2[,4],graph="triplot")