使用guides()命令或者使用个性化的guides参数,像guide_colourbar() 或者 guide_legend(). guide_colourbar guide_colorbar (原文链接:http://ggplot2.tidyverse.org/reference/guide_colourbar.html) Colour bar guide shows continuous color scales mapped onto values. Colour bar is available with scale_fill and...
library(ggplot2) library(reshape2) df <- melt(outer(1:4, 1:4), varnames = c("X1", "X2")) p1 <- ggplot(df, aes(X1, X2)) + geom_tile(aes(fill = value)) p2 <- p1 + geom_point(aes(size = value)) p1 + scale_fill_continuous(guide = "colorbar") # 默认形式 p1 + g...
The colorbar guide (guide_colourbar) converts units into cm and then uses them as mm. Reproducible example: library(ggplot2) p1 <- ggplot(iris, aes(Sepal.Width, Sepal.Length, color = Petal.Width)) + geom_point() + scale_color_distiller(name = "gap width = 1cm") + theme(legend.sp...
In R ggplot2, I would like to add a dotted line to a legend colourbar. Is this possible to do with ggplot2 or will I just have to do it in Illustrator etc - I plan to make a fair few of these and would like to avoid manually setting this. ...
guide_area()函数:将图例放在对应位置 示例 1)直接组合图表: library(ggplot2)p1<-ggplot(mtcars)+geom_point(aes(mpg,disp,colour=factor(gear)))p2<-ggplot(mtcars)+geom_boxplot(aes(gear,disp,group=gear))p3<-ggplot(mtcars)+geom_bar(aes(gear))+facet_wrap(~cyl)#Guidesarebydefaultkeptbeesidetheir...
Once you've figured out how to create the standard scatter plots, bar charts, and line graphs in ggplot, the next step to really elevate your graphs is to master working with color. Strategic use of color can really help your graphs to stand out and make
All figures were created with the R package ggplot116, and the data for the maps was obtained from Natural Earth (https://www.naturalearthdata.com). Other packages used for specific vignettes are cited below. Vignette 1 on descendants and measurement bias Simulation details The simulations for ...
split_senate |> filter(splits == 2) |> group_by(year, congress) |> summarize(n = n()) |> ggplot() + geom_bar(aes(x = year, y = n), color = 'white', fill = 'steelblue', stat = 'identity') + theme_minimal() + theme(axis.text.x = element_text(angle = 90, hjust =...
The coefficient of determination R2, which is numerically equal to the square of Pearson correlation coefficient, was obtained using lm() function of R26 and plotting was done using ggplot2 library of R. The R2 for all the 51 pools have been reported in Supplementary Table S2. AF calculation...