ylimit)) # 添加新的坐标轴 theme.list <- list( theme_void(), # 将当前图片的主题设置为空，避免影响后续主题设置 geom_line(aes(x = x_ax, y = y_ax), color = color, data = xaxis, linewidth=linewidth), geom_line(aes(x = x_ax, y = y_ax), color = color, data...
yaxis <- data.frame(x_ax = rep(xgeo, 2), y_ax = c(-ylimit, ylimit)) # 添加新的坐标轴 theme.list <- list( theme_void(), # 将当前图片的主题设置为空,避免影响后续主题设置 geom_line(aes(x = x_ax, y = y_ax), color = color, data = xaxis, linewidth=linewidth), geom_line...
yaxis <- data.frame(x_ax = rep(xgeo, 2), y_ax = c(-ylimit, ylimit)) # 添加新的坐标轴 theme.list <- list( theme_void(), # 将当前图片的主题设置为空,避免影响后续主题设置 geom_line(aes(x = x_ax, y = y_ax), color = color, data = xaxis, linewidth=linewidth), geom_line...
Now we can create a scatterplot with x-axis upper limit at 40 ggplot(mtcars, aes(mpg, wt)) + geom_point() + xlim(NA, 40) Example 2: Set Y-Axis Limits Using ylim() Using the ylim() method, the scatterplot’s y-axis boundaries can be defined as seen in the following code. ...
# tick_textsize:x和y轴刻度上的标签的大小 # linewidth:坐标轴和刻度的宽度 # epsilon:该参数通常设置为很小的值,表示坐标轴刻度的长度 # 新的坐标轴的位置 xaxis<-data.frame(x_ax=c(-xlimit,xlimit),y_ax=rep(ygeo,2))yaxis<-data.frame(x_ax=rep(xgeo,2),y_ax=c(-ylimit,ylimit))# 添...
第一步需要确定数据的范围,比如用鸢尾花的数据集花瓣长宽分别做x和y 用summary()函数看一下数据的范围 image.png 最大值是6.9,那我们将坐标轴的范围设置为-7~7. axis_begin<- -7 axis_end<-7 1. 2. 刻度设置为15个 total_ticks<-15 ...
size=3)+scale_x_continuous(breaks=seq(5,95,5),limit=c(0,99))+scale_y_continuous(position="right")+ggtitle("Scraping By")+xlab("")+ylab("Number of tests")+theme_minimal()+theme(panel.grid.major.x=element_blank(),panel.grid.minor.x=element_blank(),axis.ticks.length=unit(-0.2,"...
ggplot(iris, aes(x = Species, y = Petal.Length)) + geom_boxplot() and here is the same one with a set Y axis limit: ggplot(iris, aes(x = Species, y = Petal.Length)) + geom_boxplot() + ylim(c(1, 4)) ## Warning: Removed 84 rows containing non-finite values (stat_boxplo...
labs(title = "", y="Survival(%)", x = "")+ scale_y_continuous(limits = c(0,150),expand = c(0,0))+ theme(axis.text.x = element_text(size = 12,angle = 90, color = 'black',face='italic', hjust = 1))+ theme(axis.text.y = element_text(size = 12, color = 'black'...
(color="white")+ scale_fill_gradient2(low = "blue", high = "red", mid = "white", midpoint = 0, limit=c(-1, 1), space = "Lab", name="Person\nCorrelation")+ theme_minimal()+ theme(axis.text.x = element_text(angle = 45, vjust = 1, size = 12, hjust = 1))+ coord_...