R語言繪圖大小設定的操作

x = c(1:10)
y = c(11:20)
par(pin = c(5,3))#pin()函數控制圖形的尺寸
plot(x = x, y = y)

x = c(1:10)
y = c(11:20)
par(pin = c(2,3))#pin()函數控制圖形的尺寸
plot(x = x, y = y)

> colnames(data1)[seq(2,ncol(data1), 15)]
 [1] "AAAA" "AAGG" "ATGC" "ACGT" "AGGA" "TACG" "TTCC" "TCCT" "TGCA" "CATG"
[11] "CTTC" "CCTT" "CGTA" "GAAG" "GTAC" "GCAT" "GGAA" "GGGG"
 
> ggplot(data2[data2$name==11,], aes(x = Tetra, y = Freq, group = 1)) + geom_line(size=0.2) + theme_bw() + scale_x_discrete(breaks = colnames(data1)[seq(2,ncol(data1), 15)])
 
// scale_x_discrete 可以設置x軸顯示的刻度，調整稀疏程度，比如 breaks=seq(0,12200,1000)
 
> ggplot(data2[data2$name==11,], aes(x = Tetra, y = Freq, group = 1)) + geom_line(size=0.2) + theme_bw() + scale_x_discrete(breaks = colnames(data1)[seq(2,ncol(data1), 15)]) + theme(axis.text.x = element_text(face="bold", color="blue", size=8))
 
// ggplot2 中有很多 element可以調整矩形，字體，線段的屬性，比如 element_rect, element_line, element_blank, element_text
// http://docs.ggplot2.org/0.9.2.1/theme.html 
 
// panel.margin 用於 theme() 中，主要用於調整繪圖區域各圖之間的間距
// margin 用於element中，調整element 與周圍圖形元素的距離
 
// plot.margin 用於 theme()中，用於調整整個繪圖區的邊緣位置
 
> ggplot(data2[data2$name==11,], aes(x = Tetra, y = Freq, group = 1)) + geom_line(size=0.2) + theme_bw() + scale_x_discrete(breaks = colnames(data1)[seq(2,ncol(data1), 15)]) + theme(axis.text.x = element_text(face="bold", color="blue", size=8), plot.margin = unit(c(2,3,3,4),"cm"))
 

> p + scale_x_continuous(limits = c(-5,15))  // 方法一
> p + xlim(-5,15)  // 方法二 
> p + xlim(min(dt$A, 0)*1.2, max(dt$A)*1.2)  // 一般使用倍數來限定大小，註意定義最小值的方式
> 
// 在theme 中可以用 axis.title.x或y 調整坐標軸的標識
// 
geom_text(aes(label = "point_k"))  // 這個可以給點添加文字label 
// scale_size 可以把圖中的數據點轉化為不同大小的點 
// //

> library(ggplot2)
> library(reshape2)
> setwd("/Users/m/working/R_bin_two/new_bin")
> data1 <- read.table("result_data_g2.txt", header=T, check.names = F, fill =T)
> data2 <- melt(data1, id="name")
> colnames(data2)[2:3] <- c("Tetra","Freq")
> data2[,1] <- as.factor(data2[,1])
> p <- ggplot(data2, aes(x = Tetra, y = Freq, group = name, colour = name)) 
> p + geom_line(size=0.2) 
> p + theme_bw() 
> p + scale_x_discrete(breaks = colnames(data1)[seq(2,ncol(data1), 15)]) 
> p + guides(color = guide_legend(ncol=6))
> p + theme(axis.text.x = element_text(face="bold", color="blue", size=8), plot.margin = unit(c(2,3,3,4),"cm"))