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Legends移除图例。Length,data=iris,geom="point",colour = Species)#有图例b#去除图例b+theme(legend.position="none")#右图。Width,data=iris,geom="boxplot",fill = Species)+scale_fill_brewer(palette = "Pastel2")b+theme(legend.position="top")b+theme(legend.position=c(.Width,fi...
#dplyr中基本函数 arrange——数据排序 Hdma_dat[order(Hdma_dat$survived),] #传统方法用order排序 arrange(Hdma_dat,survived) #将survived从小到大排序 arrange(Hdma_dat,desc(survived) #将survived从大到小排序 arrange(Hdma_dat,pclass,desc(survived) #先将pclass从小到大排序,再在那个数据基础上让survived从大到小排序。
cbind: 根据列进行合并,即叠加所有列,m列的矩阵与n列的矩阵cbind()最后变成m+n列,合并前提:cbind(a, b)中矩阵a、b的行数必需相符rbind: 根据行进行合并,就是行的叠加,m行的矩阵与n行的矩阵rbind()最后变成m+n行,合并前提:rbind(a, b)中矩阵a、b的列数必需相符。
R语言ggplot2包之坐标轴引言。#因子坐标轴ggplot(PlantGrowth, aes(x=group, y=weight)) + geom_boxplot() + coord_flip() +scale_x_discrete(limits=rev(levels(PlantGrowth$group)))#连续变量的逆转ggplot(PlantGrowth, aes(x=group, y=weight)) + geom_boxplot() + scale_y_reverse()#改变分类变量顺序ggplot(PlantGrowth, aes(x=group, y=w...
描述了内置的颜色名称和颜色代码图: r 中的颜色。# Color by qsec valuessp2<-ggplot(mtcars, aes(x=wt, y=mpg, color=qsec)) + geom_point()sp2# Change the low and high colors# Sequential color schemesp2+scale_color_gradient(low="blue", high="red")# Diverging color schememid<-mean(mtcars$qsec)sp2+sca...
library("wesanderson")# See all palettesnames(wes_palettes)#> [1] "BottleRocket1" "BottleRocket2" "Rushmore1" "Rushmore" #> [5] "Royal1" "Royal2" "Zissou1" "Darjeeling1" #> [9] "Darjeeling2" "Chevalier1&qu...
#加载ggplot2包library(ggplot2)go <- read.csv("data/go.csv",header = T)#View(go)#选取数据,每个分类取前10个类目go_sort <- go[order(go$Ontology,-go$Percentage),]m <- go_sort[go_sort$Ontology=="Molecular function",][1:10,]c <- go_sort[go_sort$Ontology=="Cellular component",][1:10...
用命令行下载TCGA数据时报错:Traceback (most recent call last): File "<string>", line 21, in <module> File "c:\users\cdis\appdata\local\temp\pip-build-n7scbe\PyInstaller\PyInstaller\loader\pyi_importers.py", line 507, in install File "c:\users\cdis\appdata\local\temp\pip-build-n7...
R语言读取csv文件,第一列列名出现乱码的解决方法。[1] “Class” “FID” “BD1” “BD2” “BD3” “BD4”[7] “BD5” “airdry1” “airdry2” “airdry3” “airdry4” “airdry5”[13] “ll15_1” “ll15_2” “ll15_3” “ll15_4” “ll15_5” “CLL1”[19] “CLL2” “CLL3” “CLL4” “CLL5” “dul1” “dul2”[25] “dul3” “dul4...
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