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
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 = {...
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 from CAI import RSCU from Bio import SeqIO c2aa = { 'TGT':'Cys', 'UG...
frame(specie,condition,value) # Grouped ggplot(data, aes(fill=condition, y=value, x=specie)) + geom_bar(position="dodge", 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...
# 4. Create a stacked bar plot, add "mean_se" error barsp <- ggbarplot( df, x ="dose", y ="len", add ="mean_se", color ="supp", palette ="jco")# 5. Add p-values to the bar plot using ggpubr verbsp + stat_pvalue_manual( res.stats, x ="dose", y.position = c(...
R语言 ggplot2中的分组、叠加和叠加百分比条形图ggplot 是一个用于在R语言中生成图形的库。我们提供数据,并指定美学上的指定数据应如何映射。它是一个非常强大的库,广泛用于生成全面的图形和图表。它被用于创建基于 “图形语法 “的图形。柱状图或条形图是一种数据可视化工具,广泛用于表示数字和分类变量之间的关系。
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':...
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 ...
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 thepositionargument tostack. # librarylibrary(ggplot2)# create a datasetspecie<-c(rep("sorgho",3)...