When you want to create a bar plot in ggplot2 you might havetwo different types of data sets: when a variable represents the categories and other the count for each category and when you have all the occurrences
Changing bar plot orientation library(plotly) g <- ggplot(mpg, aes(class)) p <- ggplot(mpg) + geom_bar(aes(y = class)) ggplotly(p) 02040602seatercompactmidsizeminivanpickupsubcompactsuv countclass Stacking bar plots Bar plots are automatically stacked when multiple bars are at the same...
function, ggplot2 theme name. Default value is theme_pubr(). Allowed values include ggplot2 official themes: theme_gray(), theme_bw(), theme_minimal(), theme_classic(), theme_void(), ... ... other arguments to be passed to be passed to ggpar(). Details...
ggplot2 - Home ggplot2 - Introduction ggplot2 - Installation of R ggplot2 - Default Plot in R ggplot2 - Working with Axes ggplot2 - Working with Legends ggplot2 - Scatter Plots & Jitter Plots ggplot2 - Bar Plots & Histograms ggplot2 - Pie Charts ggplot2 - Marginal Plots ggplot2 - ...
ggplot(sunspotyear,aes(Year,Sunspots)) + geom_area(colour = "black",fill = "blue",alpha = .2) 然后我们看一下数据内有分组情况下的作图 library(ggplot2) #read in data data = read.table("area_plot2.txt",sep = "\t",header = T) ...
ggplot(data_ggp, aes(x = group, y = values)) + # Create barchart with ggplot2 geom_bar(stat = "identity")Figure 7: Barchart Created with ggplot2 Package.Figure 7 shows bars with the same values as in Examples 1-4. However, this time the bargraph is shown in the typical ggplot2...
fitdistr)ENggplot2是由Hadley Wickham创建的一个十分强大的可视化R包。按照ggplot2的绘图理念，Plot(图)...
绘制基因组 SV 突变堆叠条形图 p + scale_x_discrete(limits=x$X) + scale_fill_brewer(palette = 'Set1')+ labs(title...绘制箱线图加抖动的点 #分面 ggplot(data = ToothGrowth,aes(x=supp,y=le...
利用ggplot2包中的ggplot函数完成简单斜率图的绘制 library(ggplot2) plot.sd <- ggplot(data = inter.sd, aes(x=X_C, y=fit, group=M_C_label)) + geom_line(size=1, aes(linetype=M_C_label)) + #设定不同调节变量水平下线型不同 geom_point(size=2) + #图中点的大小 geom_ribbon(aes(ymin...
"yellow")# 绘图# plotpdf(file='results/Bar_plot_change_color01.pdf', height=10,width=12, family='sans')ggplot(df) + geom_col_pattern(aes(x = factor(pattern, levels = c('S','P')), y = value, group = factor(treat, levels = c('blank', '20', '40')), pattern_fill = col...