in the geom_bar() call, position="dodge" must be specified to have the bars one beside each other. # library library(ggplot2) # create a dataset specie <- c(rep("sorgho" , 3) , rep("poacee" , 3) , rep("banana" , 3) , rep("triticum" , 3) ) condition <- rep(c("norm...
from CAI import RSCU from Bio import SeqIO seqs = [rec.seq for rec in SeqIO.parse('codon_usage_example.fasta','fasta')] rscu = RSCU(seqs) rscu是一个字典,密码子是键,对应的RSCU是值 写一个简单的脚本获得使用R语言的ggplot2作图的输入文件 from CAI import RSCU from Bio import SeqIO c2...
seq for rec in SeqIO.parse('codon_usage_example.fasta','fasta')] rscu = RSCU(seqs) rscu是一个字典,密码子是键,对应的RSCU是值 写一个简单的脚本获得使用R语言的ggplot2作图的输入文件 代码语言:javascript 代码运行次数:0 运行 AI代码解释 from CAI import RSCU from Bio import SeqIO c2aa = {...
frame(specie,condition,value) # Stacked + percent ggplot(data, aes(fill=condition, y=value, x=specie)) + geom_bar(position="fill", stat="identity") 代码语言:javascript 代码运行次数:0 运行 AI代码解释 # library library(ggplot2) library(viridis) library(hrbrthemes) # create a dataset ...
seqs = [rec.seq for rec in SeqIO.parse('codon_usage_example.fasta','fasta')] rscu = RSCU(seqs) 1. 2. 3. 4. rscu是一个字典,密码子是键,对应的RSCU是值 写一个简单的脚本获得使用R语言的ggplot2作图的输入文件 AI检测代码解析 from CAI import RSCU ...
Stacked and grouped bar chart with ggplot in rm<-melt(housing, id.vars = "household", measure.vars = c("ELI", "VLI","LI","MI")) m$household <- factor(m$household, levels = c("Extremely low income", "Very low income", "Low income", "Middle income")) ggplot(data = m, aes...
209-the-options-of-barplot_files 21-distribution-plot-using-ggplot2_files 210-custom-barplot-layout_files 211-basic-grouped-or-stacked-barplot_files 215-interactive-heatmap-with-plotly_files 215-the-heatmap-function_files 218-basic-barplots-with-ggplot2_files 22-order-boxplot-labels...
seqs=[rec.seqforrecinSeqIO.parse('codon_usage_example.fasta','fasta')]rscu=RSCU(seqs) rscu是一个字典,密码子是键,对应的RSCU是值 写一个简单的脚本获得使用R语言的ggplot2作图的输入文件 fromCAIimportRSCUfromBioimportSeqIO c2aa={'TGT':'Cys','UGU':'Cys','TGC':'Cys','UGC':'Cys','GAT':...