This post explains how to build grouped, stacked and percent stacked barplot with R and ggplot2. It provides a reproducible example with code for each type.
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) # 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 ...
# 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(...
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':...
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.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 ...