【R】グラフの描き方(2)｜matplotは折れ線グラフが得意、さまざまなオプションも詳しく紹介

cp <- data.frame("GDP95"=c(311988.0 ,320726.7 ,330912.0 ,338991.9 ,352924.7 ,368211.9 ,379845.5 ,398927.2 ,424294.1 ,444876.0 ,469567.2 ,480855.2 ,483022.6 ,485298.3 ,489588.5 ,504827.3 ,521364.8 ,522220.9 ,518706.4 ,520765.6 ,539161.1 ,532444.5 ,541200.0 ), "CP95"=c(174234.2 ,176912.6 ,184665.6 ,189188.9 ,194156.2 ,201565.5 ,208975.1 ,217229.6 ,229047.3 ,238716.3 ,249355.1 ,257141.5 ,261717.7 ,266382.5 ,272215.1 ,279472.3 ,286514.5 ,282965.3 ,286104.1 ,288346.2 ,290585.4 ,294798.9 ,298974.3 ))

matplot(cp,type="l",xlab="期間",ylab="単位：10億円",main="実質GDP（実線）と実質民間最終消費（点線）")
> 

colorsample=data.frame(matrix(seq(1:70),10,7))
> colorsample
   X1 X2 X3 X4 X5 X6 X7
1   1 11 21 31 41 51 61
2   2 12 22 32 42 52 62
3   3 13 23 33 43 53 63
4   4 14 24 34 44 54 64
5   5 15 25 35 45 55 65
6   6 16 26 36 46 56 66
7   7 17 27 37 47 57 67
8   8 18 28 38 48 58 68
9   9 19 29 39 49 59 69
10 10 20 30 40 50 60 70

matplot(colorsample,type="l",lty=1,col=1:7)

matplot(colorsample,type="l",col=1,lty=1:7)

matplot(colorsample,type="l",lty=1,col=1,lwd=1:7)

matplot(colorsample,type="p",pch=1:7)

matplot(colorsample,type="b")

matplot(colorsample,type="c")

matplot(colorsample,type="o")

matplot(colorsample,type="h")

matplot(colorsample,type="s")

matplot(colorsample,type="n")