接下来是ggplot2作图代码 install.packages('aplot') library(ggplot2) library(aplot) df<-read.csv('rscu.txt',header=F,stringsAsFactors = F) p1<-ggplot(df,aes(fill=as.character(V4),x=V2,y=V3))+ geom_bar(position = "stack",stat="identity")+ theme_bw()+scale_y_continuous(expand=c(...
接下来是ggplot2作图代码 代码语言:javascript 代码运行次数:0 运行 AI代码解释 install.packages('aplot') library(ggplot2) library(aplot) df<-read.csv('rscu.txt',header=F,stringsAsFactors = F) p1<-ggplot(df,aes(fill=as.character(V4),x=V2,y=V3))+ geom_bar(position = "stack",stat="ident...
Stacked barchart A stacked barplot is very similar to the grouped barplot above. The subgroups are just displayed on top of each other, not beside. The only thing to change to get this figure is to switch the position argument to stack. # library library(ggplot2) # create a dataset ...
frame(specie,condition,value) # Stacked ggplot(data, aes(fill=condition, y=value, x=specie)) + geom_bar(position="stack", stat="identity") 代码语言:javascript 代码运行次数:0 运行 AI代码解释 # library library(ggplot2) # create a dataset specie <- c(rep("sorgho" , 3) , rep("poacee...
接下来是ggplot2作图代码 install.packages('aplot') library(ggplot2) library(aplot) df<-read.csv('rscu.txt',header=F,stringsAsFactors = F) p1<-ggplot(df,aes(fill=as.character(V4),x=V2,y=V3))+ geom_bar(position = "stack",stat="identity")+ ...
library(ggplot2) ggplot(df, aes(x = x, fill = group)) + geom_bar() stat = “identity” Settingstat = "identity"you can create a stacked bar plot for multiple variables. In this scenario you can pass other variable toaes, representing the value or count of that variable. ...
196-the-wordcloud2-library_files 198-scatter-and-density-plot-ggplot2_files 199-correlation-matrix-with-ggally_files 2-two-histograms-with-melt-colors_files 200-change-color-in-lineplot-following-y-value_files 201-levelplot-with-latticeextra_files 202-barplot-for-likert-type-items_fi...
I also use the "geom_text" twice, to place the values inside the segments and also on top (outside) of the bar 🙂 The function aggregate (used to create the dataset for total values) seems to be a little outdated in comparison to the packages from the "tidyverse" (ggplot2 belong...
library(ggplot2) EndDate2 <- as.Date(dataset$EndDate, "%Y-%m-%d") EndDate3<-format(EndDate2,"%m-%d") Month2<-factor(dataset$Month, levels = month.name) ggplot(dataset, aes(x = Month2, y = DateDiff_Months, fill=Project, label=EndDate3)) + geom_bar(position="dodge", stat="...
Given a data.frame object and a vector of identity classes (cluster ID), a stacked violin plot can be created with the ggplot2 package. Prepare data.frame # Load data.frame obj pbmc <- readRDS("data/pbmc_2k_v3_df.rds") identity <- readRDS("data/pbmc_2k_v3_Seurat_Idents.rds") feat...