How to plot barplots similar to those in journal articles using R and ggplot2 and other packages скачать в хорошем качестве

How to plot barplots similar to those in journal articles using R and ggplot2 and other packages

#datavisualization #rprogramming #barcharts #ggplot2 #barplot #research This is a complete tutorial to plot publication-ready bar plots. In this video, I have demonstrated how to plot a barplot similar to those we see in research articles in scientific journals. Here I have plotted the barplot using ggplot2 functions. The bar plots are in grayscale and mapped to a categorical variable. I have discussed how to rearrange the bars as per our requirement. Error bars also are plotted and customized. Some journals require error bars only at top of bars, I have discussed using ggAnnotate package function geom_halferrorbar(). The originalplots are form : Mikuláss KR, Nagy K, Bogos B, Szegletes Z, Kovács E, Farkas A, Váró G, Kondorosi É, Kereszt A. Antimicrobial nodule-specific cysteine-rich peptides disturb the integrity of bacterial outer and inner membranes and cause loss of membrane potential. Ann Clin Microbiol Antimicrob. 2016 Jul 28;15(1):43. doi: 10.1186/s12941-016-0159-8. PMID: 27465344; PMCID: PMC4964015. Data used is not original. I just made up the data to make similar plots. Loink to dwonload data: https://docs.google.com/spreadsheets/... #the code setwd("D:\\RGC work\\Rworks\\bargraphasyouseeinpublications") to read xlsx file library(readxl) for half error bars install.packages("remotes") remotes::install_github("azzoam/ggAnnotate") library(ggAnnotate) df1 = read_xlsx("data.xlsx",range="A1:C6") df1$Ab = factor(df1$Ab,levels=c("Chloroform+SDS" ,"Polymyxin B" , "NCR335", "NCR247" , "NCR001")) library(ggplot2) p1 = ggplot(df1,aes(Ab,MillerUnit,fill=Ab,label=MillerUnit))+ geom_col()+ geom_halferrorbar(aes(ymax=MillerUnit+SD),width=0.2,size=1,color="black")+ scale_fill_grey()+ geom_text(vjust=-1.5)+ theme_classic()+ scale_y_continuous(expand=c(0,0))+ expand_limits(y=c(0,150))+ theme(legend.position = "none",axis.text.x = element_text(angle=90,vjust=0.2,hjust=0.9),text=element_text(size=14,face="bold",colour = "black"))+ labs(x="",y="Miller Units %") df2 = read_xlsx("data.xlsx",range="A8:C14") df2$Ab = factor(df2$Ab,levels=c("Control", "CCCP" , "Polymyxin B", "NCR335" , "NCR247" , "NCR001" )) library(ggplot2) p2 = ggplot(df2,aes(Ab,`Relative Fluorescence` ,fill=Ab ))+ geom_col()+ geom_halferrorbar(aes(ymax=`Relative Fluorescence` +SD),width=0.2,size=1,color="black")+ scale_fill_grey()+ theme_classic()+ scale_y_continuous(expand=c(0,0))+ expand_limits(y=c(0,0.8))+ theme(legend.position = "none",axis.text.x = element_text(angle=90,vjust=0.2,hjust=0.9),text=element_text(size=14,face="bold",colour = "black"))+ labs(x="",y="Relative Fluorescence(red/green) %")+ geom_hline(yintercept=0.25,linetype=3,size=2,color="grey40") for arranging multiiple graphs together library(patchwork) p = p1/p2 p+plot_annotation(tag_levels = "a") Facebook page:   / rajendrachoureisc   Mail Id: rajuchoure@gmail.com youtube playlist:    • R programming tutorials