r語言課程_10高階繪圖

1、10. R高階繪圖內(nèi)容概要直方圖柱狀圖餅形圖散點圖箱線圖地圖金字塔圖直方圖hist(x, breaks =Sturges, # breaks語句設定分組數(shù)量 freq = NULL, # 默認為頻度輸出，freq=FALSE 為按密度輸出density = NULL, #默認沒有填充，density=20(數(shù)字可改)，有填充angle = 45, # 接density語句，填充線的傾斜度，默認=45col = NULL, # col設定顏色，默認黑色border = NULL, # border設定不同顏色main = paste(Histogram of , xname), # main可以

2、自己設定題目ylim = NULL, #ylim一般默認，可改變xlab = xname, # xlab設定自己的labylab, #設定自己的ylabelaxes = TRUE,# 繪圖默認含坐標軸) hist(x)hist(x, col = red) hist(leaflife, longev, col = red, xlab = Leaf longevity (yr), main = Leaf longevity histgram) hist(leaflife, longev, col = red, xlab = Leaf longevity (yr), main = Leaf long

3、evity histgram, yaxt = n, border = red)axis(2, las = 2)hist(log10(leaflife, longev),col = red, xlab = Leaf longevity (yr),main = Leaf longevity histgram, axes = F, border = red)axis(2, las = 2)axis(1, at = log10(c(0.5, 1, 2, 4), label = c(0.5, 1, 2, 4)柱狀圖library(sciplot)bargraph.CI(x.factor, respons

4、e,group=NULL, col=NULL, density=NULL, angle=NULL, lc=TRUE, uc=TRUE, legend=FALSE, ncol=1, ylim=NULL, xpd=FALSE, data, .) # 加載sciplot包# x軸上的分類變量# 響應變量# 分組變量，默認為空# 顏色，可以按分組指定顏色數(shù)量# 柱子中加入其他線條的密度# 柱子中加入其他線條是的角度# 誤差下限 改成FALSE為不顯示誤差下限# 誤差上限，功能同上# 顯示圖例，默認不顯示圖例# 圖例顯示的列數(shù)# 設定ylim# 默認文本均在繪圖框里，設定TRUE可超越# data指定要

5、繪圖的數(shù)據(jù)對象bargraph.CI(x.factor = rain, response = longev, group = soilp, data = leaflife, legend = T, ylab = Leaf longevity, xlab = Precipitation) bargraph.CI(x.factor = rain, response = longev, group = soilp, data = leaflife, legend = TRUE, ylab = Leaf longevity, xlab = Precipitation, ncol = 1, col =

6、black, angle = c(45, 135), density = 20) 堆棧圖barplot(height, width = 1, space = NULL, horiz = FALSE, density = NULL, angle = 45, col = NULL, xlab = NULL, ylab = NULL, xlim = NULL, ylim = NULL, axes = TRUE, .) #矩陣數(shù)據(jù)#柱子寬度設置#柱子之間距離#圖形垂直輸出# 填充線條密度# 填充線條角度# 顏色# x標示# y標示# x軸刻度范圍# y軸刻度范圍# 默認顯示坐標軸、刻度barplot(

7、dat, ylab = Fraction of explained variance,) barplot(dat, ylab = Fraction of explained variance, border = white, legend = TRUE) barplot(dat, ylab = Fraction of explained variance, border = white, legend = TRUE, xlim = c(0, 8) barplot(dat, xlab = Fraction of explained variance, border = white, horiz

8、= TRUE) f = barplot(dat, xlab = Fraction of explained variance, border = white, horiz = TRUE) 餅形圖pie(x, # x為一維數(shù)組數(shù)據(jù)col = NULL, # 顏色border = NULL, ) # 扇形邊界顏色設定, 為FALSE效果好pie(large.abund, col = rainbow(length(large.abund) pie2(sort(large.abund), col = rainbow(length(large.abund), border = FALSE, cex =

9、0.8)3D餅圖library(plotrix)# 加載plotrix包pie3D(x,#同餅形圖theta=pi/6,# 視角col=NULL,# 顏色設定labels=NULL,# 標記說明labelpos=NULL,# 標記位置explode=0,# 扇形裂開性shade=0.8,# 陰影.) pie3D(pieval, explode = 0.2, labels = pielabels) 散點圖library(openair)scatterPlot(mydata, x = nox, y = no2, z = NA, method = scatter, type = default, s

10、mooth = FALSE, linear = FALSE, mod.line = FALSE, cols = hue, log.x = FALSE, log.y = FALSE, .) # 加載openair包#數(shù)據(jù)框# 指示x變量#指示y變量# 默認z缺失# 方法散點圖# 類型默認缺失，可以指定一個分類變量# 局部平滑# 線性回歸# 擬合線# 散點顏色scatterPlot(mydata = leaflife, x = longev, y = lma, type = rain) scatterPlot(mydata = leaflife, x = longev, y = lma, type

11、 = rain, smooth = TRUE) scatterPlot(mydata = leaflife, x = longev, y = lma, type = rain, linear = TRUE) 箱線圖boxplot(x,x是一個公式col = NULL, 設定顏色log = , 對數(shù)轉(zhuǎn)換horizontal = FALSE, 箱線圖默認為垂直顯示) boxplot(longev site, data = leaflife, xlab = site, ylab = Leaf longevity (yr) 箱線圖（ggplot2模式)library(ggplot2)#加載ggplot

12、2包ggplot (data=NULL,#一個數(shù)據(jù)框格式的數(shù)據(jù)aes(x,# x軸上的分類變量y,# y軸上的分類變量fill)# fill 如果不是x軸上分類變量，雙因素交叉)+geom_boxplot()# 作箱線圖ggplot(leaflife, aes(x = rain, y = longev, fill = rain) + geom_boxplot()ggplot(leaflife, aes(x = rain, y = longev, fill = soilp) + geom_boxplot()地圖-中國地圖地圖-世界地圖3D圖library(fields)drape.plot(x,

13、 y, z,horizontal = TRUE, theta = 30, phi = 20,.) # 加載fields包# x軸上數(shù)值向量， 為一遞增數(shù)列# y軸數(shù)值向量，同上# z是矩陣，行的長度同x軸向量長度，列長度為y軸向量長度# 圖例默認水平顯示（位于圖的下側(cè)）# 延x-y軸水平方向視角# 延z軸水平方向視角drape.plot(x, y, volcano, col = terrain.colors(128), theta = 30, phi = 30)3D繪圖動畫金字塔圖Try it!利用sciplot包中的bargraph.CI函數(shù)針對leaflife數(shù)據(jù)做site為分組變量的單因