plot(x=datax$carat, y=datax$price, xlab="Carat", ylab="Price", main="plot function")qplot(x=carat, y=price, data=datax, xlab="Carat", ylab="Price", main="qplot function") 但如果要按切工进行分类作图,plot函数的处理就复杂了,你首先得将数据进行分类提取,然后再一个个作图。虽然可以用循...
A function to replicate the basic plot function for linear models in ggplot2
2))) vplayout = function(x,y){ viewport(layout.pos.row=x, layout.pos.col=y) } print(a, vp = vplayout(1, 1:2)) print(b, vp = vplayout(2, 1)) print(c, vp = vplayout(2, 2)) dev.off()
点(point, text):往往只有x、y指定位置,有shape但没有fill 线(line,vline,abline,hline,stat_function等):一般是基于函数来处理位置 射(segment):特征是指定位置有xend和yend,表示射线方向 面(tile, rect):这类一般有xmax,xmin,ymax,ymin指定位置 棒(boxplot,bin,bar,histogram):往往是二维或一维变量,具有...
plotfunc <- function() image(volcano) # define the function plotfunc() # call the function to make the plot 一个用grid绘制的圆: gcircle<-grid::circleGrob()ggdraw(gcircle) 现在使用plot_grid()进行组合: plot_grid(plot.mpg,recordedplot,plotfunc,gcircle,labels="AUTO",hjust=0,vjust=1,sca...
One way is to convert your code into a function. Another is to turn it into an RStudio code snippet. But the ggpackets package has a ggplot-friendlier way: Create your own custom geom! It’s as painless as storing it in a variable using the ggpacket() function.The example code below...
A function that takes the limits as input and returns breaks as output labels One of: NULL for no labels waiver() for the default labels computed by the transformation object A character vector giving labels (must be same length as breaks) ...
ggplot2.dotplotis an easy to use function formaking a dot plotwithR statistical softwareusingggplot2package. The aim of thistutorial, is to show you how to make adot plotand to personalize the different graphical parameters includingmain title,axis labels,legend,backgroundandcolors.ggplot2.dotplo...
第二个是cowplot,对应的函数是plot_grid() 第三个是aplot,对应的函数是insert_bottom() right()top()left() 这个论文里提供的拼图方法是自定义了一个函数,函数是 grid_arrange_shared_legend <- function(..., ncol = length(list(...)), ...
theme_MJ <- function(..., bg='white'){ require(grid) theme_classic(...) + theme(rect=element_rect(fill=bg), plot.margin=unit(rep(1,4), 'lines'), panel.border=element_rect(fill='transparent', color='transparent'), panel.grid=element_blank(), axis.title = element_text(color='bl...