Example 1 shows how to export a ggplot2 plot with transparent rectangle elements.For this, we can use the theme function and the rect argument as shown below:ggp_transparent1 <- ggp + # Make background transparent theme(rect = element_rect(fill = "transparent"))...
plot.background = element_rect(fill= "transparent", color = NA), panel.grid.major = element_blank(), panel.grid.minor = element_blank(), panel.border = element_blank(), legend.position = c(0.95,0.95), legend.title = NULL, legend.key=element_blank(), legend.background = element_rect...
size=1) + # Set linetype by sex geom_point(size=3, fill="white") + # Use larger points, fill with white expand_limits(y=0) + # Set y range to include 0 scale_colour_hue(name="Sex of payer", # Set legend title l=30) + # Use darker colors...
不谈底层的实现思想,我们简单地理解,ggplot图的元素可以主要可以概括如下:最大的是plot(指整张图,包括background和title),其次是axis(包括stick,text,title和stick)、legend(包括backgroud、text、title)、facet这是第二层次,其中facet可以分为外部strip部分(包括backgroud和text)和内部panel部分(包括backgroud、boder和网...
I'm a firm believer of legends begin IN plots, so let's push that in there and make it blend in: print({ group_dens3 = group_dens2 + theme(legend.position = c(.75, .75), legend.background = element_rect(fill="transparent"), ...
p + theme_void() + # Empty theme without axis lines and texts theme( panel.background = element_rect(fill = "transparent", colour = NA), plot.background = element_rect(fill = "transparent", colour = NA), legend.background = element_rect(fill = "transparent", colour = NA), legend...
.uni-checkbox-input.uni-checkbox-input-checked { border: none !important; background: #3d...
In this ggplot2 tutorial we will see how to make a histogram and to customize the graphical parameters including main title, axis labels, legend, background and colors. ggplot2.histogram function is from easyGgplot2 R package. An R script is available in the next section to install the ...
)+labs(title="Región de Murcia",subtitle="Renta media por hogar (2016)",caption="",fill=""# Etiqueta para la Leyenda)+theme(text=element_text(color="#22211d"),plot.background=element_rect(fill="#ffffff",color=NA),panel.background=element_rect(fill="#ffffff",color=NA),legend.back...
ggMarginal(g, type = "boxplot", fill="transparent") # ggMarginal(g, type = "density", fill="transparent") 相关关系图 相关关系图可以同时显示统一组数据中多个变量间的相关性。通过ggcorrplot包可以很方便的实现它。 # devtools::install_github("kassambara/ggcorrplot") ...