Your first R function命令一个函数时,一般不写在交互式命令行里,而是写在一个空白的文本文件中,即把函数放在一个R包中,这里面包含着文档(documentation),是一个更加结构化的环境。 我们使用的软件是RStudio,左上角新建一个新的R脚本来写代码。 Example 1 举个例子,简单了解一下如何使用函数的语法、如何指定参...
AI代码解释 cell_fun=function(j,i,x,y,w,h,fill){grid.rect(x=x,y=y,width=w,height=h,gp=gpar(col=NA,fill=NA))grid.circle(x=x,y=y,r=percent_mat[i,j]/100*min(unit.c(w,h)),gp=gpar(fill=col_fun(exp_mat[i,j]),col=NA))}## alsodoa kmeans clusteringforthe geneswithk=4...
Advanced dotplots can be created with thedotplot2( )function in theHmiscpackage and with the panel.dotplot( ) function in thelatticepackage. To Practice To practice making a dot plot in R, trythis interactive exercisefrom a DataCamp course. ...
FUN =function(ident) { data.use <- data.features[data.features$id == ident, 1:(ncol(x = data.features) - 1), drop = FALSE] avg.exp <- apply( X = data.use, MARGIN = 2, FUN =function(x) { return(mean(x = expm1(x = x))) } ) pct.exp <- apply(X = data.use, MARGI...
y$Sample<-paste0(y$Cluster,"(",unlist(lapply(strsplit(y$GeneRatio,'/'),function(x)x[2])),")")# 这次存成tsv,省得误会了 write.table(y,file="enrichment.tsv",sep="\t",col.names=T,row.names=F,quote=F) 首先出第一个图,很简单,一个命令,设置下颜色。
colorFun <- function(gender) { colorVec <- vector() for(g in gender) { if(g == "Female") { colorVec <- c(colorVec, "Red") } else { colorVec <- c(colorVec, "Blue") } } colorVec } dotchart(ruralDF$DeathRate, main = "Death Rates in Virginia - 1940", groups=ruralDF$Ag...
Create DOT CHARTS in R, learn how to create a dot plot by group or how to order the variables. You will also learn how to create a dumbbell plot in R
function, ggplot2 theme name. Default value is theme_pubr(). Allowed values include ggplot2 official themes: theme_gray(), theme_bw(), theme_minimal(), theme_classic(), theme_void(), ... ... other arguments to be passed togeom_dotplot,ggparandfacet. Details...
## [10] plot.function plot.hclust* plot.histogram* ## [13] plot.HoltWinters* plot.isoreg* plot.lm* ## [16] plot.medpolish* plot.mlm* plot.ppr* ## [19] plot.prcomp* plot.princomp* plot.profile.nls* ## [22] plot.raster* plot.spec* plot.stepfun ...
y$Sample <- paste0(y$cluster,="">'(',unlist(lapply(strsplit(y$GeneRatio,'/'),function(x) x[2])),')') # 这次存成tsv,省得误会了 write.table(y, file='enrichment.tsv', sep='\t', col.names=T, row.names=F, quote=F)