如何使用格绘制条形图没有分类x轴

Question

可能重复：
how to plot a bar chart with non-sorted x-axis (lattice)

我想绘制条形图。但我不知道如何用格子中未排序的x轴来绘制它。默认情况下，格阵将排序我不期望的x数据。

我的代码显示如下：

代码：

go=data.frame(number_of_Unigene=c(45,5328,30,30,119,3248,16594,244,4354,3547,917,429,3716,30,15726,4182,1673,877,30,30,640,4808,2462,2437,7812,190,2001,30,44,19852,1763,19852,31,30,686,30,3698,9829,3432,1439,15252,6024,1753,216,15917,15103,30,433,319,30,522,708,30,102,30,613,1039,30,2478),class=c("biological adhesion","biological regulation","carbon utilization","cell killing","cell proliferation","cellular component organization or biogenesis","cellular process","death","developmental process","establishment of localization","growth","immune system process","localization","locomotion","metabolic process","multicellular organismal process","multi-organism process","negative regulation of biological process","nitrogen utilization","pigmentation","positive regulation of biological process","regulation of biological process","reproduction","reproductive process","response to stimulus","rhythmic process","signaling","sulfur utilization","viral reproduction","cell","cell junction","cell part","extracellular matrix","extracellular matrix part","extracellular region","extracellular region part","macromolecular complex","membrane","membrane part","membrane-enclosed lumen","organelle","organelle part","symplast","antioxidant activity","binding","catalytic activity","channel regulator activity","electron carrier activity","enzyme regulator activity","metallochaperone activity","molecular transducer activity","nucleic acid binding transcription factor activity","nutrient reservoir activity","protein binding transcription factor activity","protein tag","receptor activity","structural molecule activity","translation regulator activity","transporter activity"),Ontology=c("biological_process","biological_process","biological_process","biological_process","biological_process","biological_process","biological_process","biological_process","biological_process","biological_process","biological_process","biological_process","biological_process","biological_process","biological_process","biological_process","biological_process","biological_process","biological_process","biological_process","biological_process","biological_process","biological_process","biological_process","biological_process","biological_process","biological_process","biological_process","biological_process","cellular_component","cellular_component","cellular_component","cellular_component","cellular_component","cellular_component","cellular_component","cellular_component","cellular_component","cellular_component","cellular_component","cellular_component","cellular_component","cellular_component","molecular_function","molecular_function","molecular_function","molecular_function","molecular_function","molecular_function","molecular_function","molecular_function","molecular_function","molecular_function","molecular_function","molecular_function","molecular_function","molecular_function","molecular_function","molecular_function")) 

下一个

library(lattice) 
barchart(go[,1]~go[,2],horiz=F,ylim=c(30,29666),layout=c(1,1),stack=F, 
auto.key=list(space='right'),ylab="Number of unigenes", 
scales=list(x=list(rot=45),y=list(log=T))) 

还有什么应该怎么办？

Answer 1

的方法之一是重新排列它们出现在数据的方式的因素b$class水平：

newClass <- factor(go$class, levels = unique(go$class)) 

简介：

library(lattice) 
barchart(go[,1]~newClass,horiz=F,ylim=c(30,29666),layout=c(1,1),stack=F, 
     auto.key=list(space='right'),ylab="Number of unigenes", 
     scales=list(x=list(rot=45),y=list(log=T)))