Скачать с ютуб Customize Bar plot in R -GGplot2- in 5 steps : Beautiful publication ready bar plot в хорошем качестве

Customize Bar plot in R -GGplot2- in 5 steps : Beautiful publication ready bar plot

#barplot #errorbars #ggplot2 #Rprogramming #R #datavisualisation #Rprogramming #ggplot #datanalysis #barplotcustomisation This video discuss customisation of barplot in ggplot2 R. Reordering of categories, adding error bars, plot titles, themes and color palletes have been discussed. library(tidyverse) # for summarizing the data to get means and sds of categories library(ggsci) # for color palettes of scieintifc journals library(ggpubr) # for theme pubr iris_plot = gather(iris,FlPrt,Length,1:4) iris_plot= group_by(iris_plot, Species,FlPrt) iris_plot=summarise(iris_plot,mnL=mean(Length),sdL=sd(Length)) iris_plot= ggplot(iris_plot,aes(reorder(Species,mnL),mnL,fill=reorder(FlPrt,mnL)))+ geom_bar(stat="identity",position="dodge")+ geom_text(mapping=aes(label=mnL),position=position_dodge(width=0.9), cex=2.5,vjust=-4)+ labs(title="Iris: Measurment of floral organs", subtitle="Length abd width of srpal abd petal", x="Species",y="Length ib cm", caption="Data: iris dataset by Edgar Anderson",fill="Description")+ geom_errorbar(mapping=aes(ymin=mnL-sdL,ymax=mnL+sdL), width=0.2,position=position_dodge(width=0.9))+ theme_classic()+scale_fill_jco() 0:00 Introduction 0:49 Install and load required packages 1:34 Prepare data 2:34 initiate ggplot 3:36 Reorder categories of bars 4:56 Add value labels to bars 6:02 titles of plot elements 7:05 Add error bars 8:39 add theme to plot 10:16 Add color palettes 11:20 concluding remarks