data(Salaries, package="carData") library(ggplot2) # geom_boxplot箱线图,notch是否有凹槽,更清晰分离2/4和3/4的数据 # geom_point散点图,position="jitter"把点抖动分散开 # geom_rug地毯图,指示数据点分布情况,sides="lr"图形两边同时绘制 ggplot(Salaries
https://rawgit.com/valentinitnelav/plotbiomes/master/html/Whittaker_biomes_examp... 46110 用R语言的ggplot2包复现一下Nature正刊论文中的气泡图网站数据处理ggplot2函数论文 用户7010445 2024-06-18 linkET 这个R包里有一个函数 geom_curve2() 可以将 curvature 放到aes()里的,但是遇到一个问题,正常一个...
# 所需包 library(maps) library(sf) # 数据 # 这里如果使用ggplot2数据,则只有边界(线数据),内部是空的 mapdata_sf <- map("world", plot=FALSE, fill=TRUE) %>% st_as_sf(crs=4326) #世界地图 usadata_sf <- map("state", plot=FALSE, fill=TRUE) %>% st_as_sf(crs=4326) #美国地图 #...
grid.arrange(sp, #Firstrowwithone plot spaning over2columnsarrangeGrob(bxp, dp, ncol =2), #Secondrowwith2plotsin2different columns nrow=2) #numberofrows 也可以通过函数grid.arrange中的layout_matrix来设置复杂的图形布局 grid.arrange(bp,#bar plot spaning two columnsbxp, sp,#box plot amd scatte...
grid.arrange(sp, #First row with one plot spaning over 2 columns arrangeGrob(bxp, dp, ncol = 2), #Second row with 2plots in 2 different columns nrow=2) #number of rows 也可以通过函数grid.arrange中的layout_matrix来设置复杂的图形布局 代码语言:javascript 代码运行次数:0 运行 AI代码解释 ...
Chances are it will fall under one (or sometimes more) of these 8 categories. 1. Correlation The following plots help to examine how well correlated two variables are. The most frequently used plot for data analysis is undoubtedly the scatter plot. Whenever you want to understand the nature ...
Dumbbell Plot 哑铃图 1. Visualize relative positions (like growth and decline) between two points in time. 2. Compare distance between two categories.比较两类间距离 Y 变量应该是 a factor and the levels of the factor variable should be in the same order as it should appear in the plot. 1...
The heights of the bars represent values in the data. Key arguments to customize the plot: color, fill: bar border and fill color width: bar width Data preparation We’ll create two data frames derived from the ToothGrowth datasets. df <- data.frame(dose=c("D0.5", "D1", "D2")...
grid.arrange(sp, #First row with one plot spaning over 2 columns arrangeGrob(bxp, dp, ncol = 2), #Second row with 2plots in 2 different columns nrow=2) #number of rows 也可以通过函数grid.arrange中的layout_matrix来设置复杂的图形布局 ...
6:twodash。 30.4.1.1 找出期望寿命增长不稳定的国家 我们编程找出寿命增长不稳定的国家。 这部分内容与作图关系不大,可以跳过。 对每个国家做线性回归, 以期望寿命为因变量, 以年份为自变量, 找出残差方差很大的,以及直线斜率为负的国家。 extract_lmr <- function(lmr){summ = summary(lmr)tibble(sigma = sum...