通过这几个值,可以确定主成分个数,当然也可以通过碎石图(就是方差解释度的可视化)直观的观察: fviz_eig(pca.res,addlabels=T,ylim=c(0,100)) 提取变量结果 通过get_pca_var()`函数实现: res.var<-get_pca_var(pca.res) res.var$cor ## Dim.1 Dim.2 Dim.3 Dim.4 ## Sepal.Length 0.8901688 0.36...
#The name "value" shoud **not** be altered. #variable can be altered using -H #Actually this format is the melted result of last format. --- Pos variable value -5000 H3K27ac 8.71298 -4000 H3K27ac 8.43246 -3000 H3K27ac 8.25497 -2000 H3K27ac 7.16265 -1000 H3K27ac 3.55341 0 H3...
{show:false},axisTick:{alignWithLabel:false,length:40,align:"left",interval:function(index,value){returnvalue?true:false;}},axisLabel:{margin:30},splitLine:{show:true,interval:function(index,value){returnvalue?true:false;}}}],yAxis:{},series:[{name:'Sales',type:'bar',data:[5,...
ggboxplot(df, x = "dose", y = "len", fill = "dose", palette = "lancet", alpha = 0.6) + stat_pvalue_manual(stat.test, label = "p.adj.signif", y.position = 35) + geom_hline(yintercept = mean(df$len), linetype = 2) 方差分析 完全随机设计方差分析 使用课本例4-2的数据。
>fviz_eig(collina.pca, addlabels = TRUE,ylim = c(0, 32)) 结果如下图: 根据陡坡图,本例中,可以保留前4个主成分。 3.2获得和可视化变量结果 3.2.1 获得主成分分析中变量的结果 #获得主成分分析中变量的结果 >var <- get_pca_var(collina.pca) ...
eigenvalue variance.percent cumulative.variance.percent Dim.1 4.7058503 36.1988481 36.19885 Dim.2 2.4969737 19.2074903 55.40634 Dim.3 1.4460720 11.1236305 66.52997 ...省略部分 1. 2. 3. 4. 5. 6. 碎石图 fviz_eig(wine.pca2,addlabels = TRUE) #碎石图,展示方差解释度 ...
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labels_df<-df%>%select(ends_with("Score"),ends_with("Genes"))%>%rownames_to_column()%>%pivot_longer(-rowname)%>%separate(name,c("Group","var"))%>%pivot_wider(c(rowname,Group),names_from=var,values_from=value)%>%mutate(label=paste("Gene Overlap:",Genes,"\nMean_GB_Score:"...
最后是拼图 代码语言:javascript 代码运行次数:0 复制 Cloud Studio代码运行 ggarrange(p1,p2,p3,p4,ncol=2,nrow=2,labels=c("p1","p2","p3","p4")) 最终的结果如下 image.png 小明的数据分析笔记本
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