R建模20160820
1 data<-read.csv("附件3.csv") 2 x<-data[,1] 3 y<-data[,2] 4 windows() 5 barplot(y,col=2,main="所有车次平均客座率",cex.axis=1, 6 xlab="车次",ylab="客座率") 7 grid(nx=NA,ny=10,lwd=2) 8 axis(1,at=x,labels=x)
2.
1 x_name<-c("1","2","3","4","5","6","7","8","9","10","11","12","1601", 2 "1602","1603") 3 4 data<-read.csv("车次.csv") 5 data[,1]=as.character(data[,1]) 6 plot(data[,2]/1000,type="o", col="tan",axes=FALSE,ann=FALSE,ylim=c(0,800)) # 绘制蓝色折线图, 7 axis(1, at=1:15, lab=x_name)# 8 title(main="不同车次客流量", col.main="red", font.main=4) # 增添标题,红色,粗斜体 9 axis(2) 10 grid(nx=NA,ny=10,lwd=2) 11 box() 12 title(xlab="月份", col.lab=rgb(0,0.5,0)) # 添加x轴标题 13 title(ylab="客流量/(千人)", col.lab=rgb(0,0.5,0)) # 添加y轴标题 14 lines(data[,3]/1000, type="o", pch=22, lty=1, col="Brown") 15 lines(data[,4]/1000, type="o", pch=22, lty=1, col="DarkSlateGray") 16 lines(data[,5]/1000, type="o", pch=22, lty=1, col="grey31") 17 lines(data[,5]/1000, type="o", pch=22, lty=1, col="DarkCyan") 18 lines(data[,6]/1000, type="o", pch=22, lty=1, col="DarkMagenta") 19 lines(data[,7]/1000, type="o", pch=22, lty=1, col="DarkRed") 20 lines(data[,8]/1000, type="o", pch=22, lty=1, col="PeachPuff1") 21 lines(data[,9]/1000, type="o", pch=22, lty=1, col="Orange") 22 lines(data[,10]/1000, type="o", pch=22, lty=1, col="Gold") 23 lines(data[,11]/1000, type="o", pch=22, lty=1, col="Firebrick") 24 lines(data[,12]/1000, type="o", pch=22, lty=1, col="ForestGreen") 25 lines(data[,13]/1000, type="o", pch=22, lty=1, col="DarkGreen") 26 lines(data[,14]/1000, type="o", pch=22, lty=1, col="MediumBlue") 27 tuli<-c("ZD111-01","ZD111-02","ZD311","ZD326","ZD192","ZD022","ZD250","ZD062","ZD120","ZD121","ZD143","ZD370","ZD190-02","ZD190-01") 28 legend("bottomright",legend=tuli, cex=0.8, col=c("Brown","DarkSlateGray","grey31" ,"DarkCyan", 29 "DarkMagenta","DarkRed", "PeachPuff1","Orange" ,"Gold","Firebrick","ForestGreen", "DarkGreen", 30 "MediumBlue"),lty=1) 31 # legend(),1,g_range[2]表示图例左上角的坐标;c("cars","trucks")标签,cex=0.8字体的放大倍数
3.
1 plot(data[,7]/1000,type="o", col="tan",axes=FALSE,ann=FALSE,ylim=c(0,150)) # 绘制蓝色折线图, 2 axis(1, at=1:15, lab=x_name) 3 axis(1, at=1:15, lab=x_name)# 4 title(main="不同车次客流量", col.main="red", font.main=4) # 增添标题,红色,粗斜体 5 axis(2) 6 grid(nx=NA,ny=10,lwd=2) 7 box() 8 title(xlab="月份", col.lab=rgb(0,0.5,0)) # 添加x轴标题 9 title(ylab="客流量/(千人)", col.lab=rgb(0,0.5,0)) # 添加y轴标题 10 lines(data[,8]/1000, type="o", pch=22, lty=1, col="PeachPuff1") 11 lines(data[,9]/1000, type="o", pch=22, lty=1, col="Orange") 12 lines(data[,10]/1000, type="o", pch=22, lty=1, col="Gold") 13 lines(data[,11]/1000, type="o", pch=22, lty=1, col="Firebrick") 14 lines(data[,12]/1000, type="o", pch=22, lty=1, col="ForestGreen") 15 lines(data[,13]/1000, type="o", pch=22, lty=1, col="DarkGreen") 16 #lines(data[,14]/1000, type="o", pch=22, lty=1, col="MediumBlue") 17 tuli<-c("ZD250","ZD062","ZD120","ZD121","ZD143","ZD370","ZD190-01") 18 legend("bottomright",legend=tuli, cex=0.8, col=c("PeachPuff1","Orange" ,"Gold","Firebrick","ForestGreen", "DarkGreen", 19 "MediumBlue"),lty=1)
数据
2016-04-22
1.
1 data<-read.csv("d.csv") 2 data2<-t(data) 3 plot(data2[2:19,1],type="o",col="tan",axes=FALSE,ann=FALSE,ylim=c(0,1800)) # 绘制蓝色折线图, 4 x_name<-c('5-6点','6-7点','7-8点','8-9点','9-10点','10-11点', 5 '11-12点','12-13点','13-14点','14-15点','15-16点','16-17点','17-18点', 6 '18-19点','19-20点','20-21点','21-22点','22-23点') 7 axis(1, at=1:18, lab=x_name)# 8 title(main="不同时刻车站客流量", col.main="red", font.main=4) # 增添标题,红色,粗斜体 9 axis(2) 10 grid(nx=NA,ny=10,lwd=2) 11 box() 12 title(xlab="时间", col.lab=rgb(0,0.5,0)) # 添加x轴标题 13 title(ylab="客流量/(人)", col.lab=rgb(0,0.5,0)) # 添加y轴标题 14 lines(data2[2:19,2], type="o", pch=22, lty=1, col="Brown") 15 lines(data2[2:19,3], type="o", pch=22, lty=1, col="DarkSlateGray") 16 lines(data2[2:19,4], type="o", pch=22, lty=1, col="grey31") 17 lines(data2[2:19,5], type="o", pch=22, lty=1, col="DarkCyan") 18 lines(data2[2:19,6], type="o", pch=22, lty=1, col="DarkMagenta") 19 lines(data2[2:19,7], type="o", pch=22, lty=1, col="DarkRed") 20 lines(data2[2:19,8], type="o", pch=22, lty=1, col="PeachPuff1") 21 lines(data2[2:19,9], type="o", pch=22, lty=1, col="Orange") 22 lines(data2[2:19,10], type="o", pch=22, lty=1, col="Gold") 23 24 data3<-read.csv("e.csv") 25 data4<-read.csv("f.csv") 26 data3_a=t(data3) 27 data4_a=t(data4) 28 data5_a<-data4_a+data3_a
2.
1 layout(matrix(c(1,2,3,2),nr=2)) 2 data_up<-read.csv("up.csv") 3 data2_up<-t(data_up) 4 up<-plot(data2_up[2:19,1],type="o",col="tan",axes=FALSE,ann=FALSE,ylim=c(0,1800)) # 绘制蓝色折线图, 5 x_name<-c('5-6点','6-7点','7-8点','8-9点','9-10点','10-11点', 6 '11-12点','12-13点','13-14点','14-15点','15-16点','16-17点','17-18点', 7 '18-19点','19-20点','20-21点','21-22点','22-23点') 8 axis(1, at=1:18, lab=x_name)# 9 title(main="不同时刻车站上车客流量", col.main="red", font.main=4) # 增添标题,红色,粗斜体 10 axis(2) 11 grid(nx=NA,ny=10,lwd=2) 12 box() 13 title(xlab="时间", col.lab=rgb(0,0.5,0)) # 添加x轴标题 14 title(ylab="客流量/(人)", col.lab=rgb(0,0.5,0)) # 添加y轴标题 15 lines(data2_up[2:19,2], type="o", pch=22, lty=1, col="Brown") 16 lines(data2_up[2:19,3], type="o", pch=22, lty=1, col="DarkSlateGray") 17 lines(data2_up[2:19,4], type="o", pch=22, lty=1, col="grey31") 18 lines(data2_up[2:19,5], type="o", pch=22, lty=1, col="DarkCyan") 19 lines(data2_up[2:19,6], type="o", pch=22, lty=1, col="DarkMagenta") 20 lines(data2_up[2:19,7], type="o", pch=22, lty=1, col="DarkRed") 21 lines(data2_up[2:19,8], type="o", pch=22, lty=1, col="PeachPuff1") 22 lines(data2_up[2:19,9], type="o", pch=22, lty=1, col="Orange") 23 lines(data2_up[2:19,10], type="o", pch=22, lty=1, col="Gold") 24 tuli<-c("ZD111-01","ZD326","ZD250","ZD062","ZD190-01","ZD190-02","ZD192", 25 "ZD111-03","ZD022","ZD311") 26 legend("bottomright",legend=tuli, cex=0.8, col=c("Brown","DarkSlateGray","grey31" ,"DarkCyan", 27 "DarkMagenta","DarkRed", "PeachPuff1","Orange" ,"Gold"),lty=1) 28 # legend(),1,g_range[2]表示图例左上角的坐标;c("cars","trucks")标签,cex=0.8字体的放大倍数 29 30 31 data_down<-read.csv("down.csv") 32 data2_down<-t(data_down) 33 down<-plot(data2_down[2:19,1],type="o",col="tan",axes=FALSE,ann=FALSE,ylim=c(0,1800)) # 绘制蓝色折线图, 34 x_name<-c('5-6点','6-7点','7-8点','8-9点','9-10点','10-11点', 35 '11-12点','12-13点','13-14点','14-15点','15-16点','16-17点','17-18点', 36 '18-19点','19-20点','20-21点','21-22点','22-23点') 37 axis(1, at=1:18, lab=x_name)# 38 title(main="不同时刻车站下车客流量", col.main="red", font.main=4) # 增添标题,红色,粗斜体 39 axis(2) 40 grid(nx=NA,ny=10,lwd=2) 41 box() 42 title(xlab="时间", col.lab=rgb(0,0.5,0)) # 添加x轴标题 43 title(ylab="客流量/(人)", col.lab=rgb(0,0.5,0)) # 添加y轴标题 44 lines(data2_down[2:19,2], type="o", pch=22, lty=1, col="Brown") 45 lines(data2_down[2:19,3], type="o", pch=22, lty=1, col="DarkSlateGray") 46 lines(data2_down[2:19,4], type="o", pch=22, lty=1, col="grey31") 47 lines(data2_down[2:19,5], type="o", pch=22, lty=1, col="DarkCyan") 48 lines(data2_down[2:19,6], type="o", pch=22, lty=1, col="DarkMagenta") 49 lines(data2_down[2:19,7], type="o", pch=22, lty=1, col="DarkRed") 50 lines(data2_down[2:19,8], type="o", pch=22, lty=1, col="PeachPuff1") 51 lines(data2_down[2:19,9], type="o", pch=22, lty=1, col="Orange") 52 lines(data2_down[2:19,10], type="o", pch=22, lty=1, col="Gold") 53 tuli<-c("ZD111-01","ZD326","ZD250","ZD062","ZD190-01","ZD190-02","ZD192", 54 "ZD111-03","ZD022","ZD311") 55 legend("bottomright",legend=tuli, cex=0.8, col=c("Brown","DarkSlateGray","grey31" ,"DarkCyan", 56 "DarkMagenta","DarkRed", "PeachPuff1","Orange" ,"Gold"),lty=1) 57 # legend(),1,g_range[2]表示图例左上角的坐标;c("cars","trucks")标签,cex=0.8字体的放大倍数 58 59 60 61 he<-plot(data5_a[2:19,1],type="o",col="tan",axes=FALSE,ann=FALSE,ylim=c(0,2500)) # 绘制蓝色折线图, 62 x_name<-c('5-6点','6-7点','7-8点','8-9点','9-10点','10-11点', 63 '11-12点','12-13点','13-14点','14-15点','15-16点','16-17点','17-18点', 64 '18-19点','19-20点','20-21点','21-22点','22-23点') 65 axis(1, at=1:18, lab=x_name)# 66 title(main="不同时刻车站客流量", col.main="red", font.main=4) # 增添标题,红色,粗斜体 67 axis(2) 68 grid(nx=NA,ny=10,lwd=2) 69 box() 70 title(xlab="时间", col.lab=rgb(0,0.5,0)) # 添加x轴标题 71 title(ylab="客流量/(人)", col.lab=rgb(0,0.5,0)) # 添加y轴标题 72 lines(data5_a[2:19,2], type="o", pch=22, lty=1, col="Brown") 73 lines(data5_a[2:19,3], type="o", pch=22, lty=1, col="DarkSlateGray") 74 lines(data5_a[2:19,4], type="o", pch=22, lty=1, col="grey31") 75 lines(data5_a[2:19,5], type="o", pch=22, lty=1, col="DarkCyan") 76 lines(data5_a[2:19,6], type="o", pch=22, lty=1, col="DarkMagenta") 77 lines(data5_a[2:19,7], type="o", pch=22, lty=1, col="DarkRed") 78 lines(data5_a[2:19,8], type="o", pch=22, lty=1, col="PeachPuff1") 79 lines(data5_a[2:19,9], type="o", pch=22, lty=1, col="Orange") 80 lines(data5_a[2:19,10], type="o", pch=22, lty=1, col="Gold") 81 82 tuli<-c("ZD111-01","ZD326","ZD250","ZD062","ZD190-01","ZD190-02","ZD192", 83 "ZD111-03","ZD022","ZD311") 84 legend("bottomright",legend=tuli, cex=0.8, col=c("Brown","DarkSlateGray","grey31" ,"DarkCyan", 85 "DarkMagenta","DarkRed", "PeachPuff1","Orange" ,"Gold"),lty=1) 86 # legend(),1,g_range[2]表示图例左上角的坐标;c("cars","trucks")标签,cex=0.8字体的放大倍数 87
3.图形
本性的苏醒,往往在遭遇真实之后。