Scatter plot with linear regression line of best fit 图1,显示不同类别 df <- ggplot2::mpg %>% setDT() df_select <- df[cyl %in% c(4,8),] %>% .[,cyl:=as.factor(cyl)] cyl_color <- c("#1f77b4", "#ff983e") # geom_smooth的填充范围,只有数据和全图可选,而且se只会按垂直方向...
# A scatterplot with regular (linear) axis scaling sp <- ggplot(dat, aes(xval, yval)) + geom_point() library(scales) sp + scale_y_continuous(trans = log2_trans(), breaks = trans_breaks("log2", function(x) 2^x), labels = trans_format("log2", math_format(2^.x))) set.se...
第一选择一定是散点图(Whenever you want to understand the nature of relationship between two variables, invariably the first choice is the scatterplot);ggplot2中用来画散点图的函数是geom_point(),同时可以用geom_smooth()函数添加拟合
add regression line to scatter plot in rggplot2 http://www.cookbook-r.com/Graphs/Scatterplots_(ggplot2)/ http://stackoverflow.com/questions/7549694/ggplot2-adding-regression-line-equation-and-r2-on-graph 然后我只看了这两个链接而已,就得到了自己想要的图! 比如画多个分组变量(SNV和INDEL的het,ho...
qplot()类似于R基本绘图函数plot(),可以快速绘制常见的几种图形:散点图、箱线图、 小提琴图、直方图以及密度曲线图。其绘图格式为: qplot(x, y=NULL, data, geom="auto") 1. 其中: x,y: 根据需要绘制的图形使用; data:数据集; geom:几何图形,变量x,y同时指定的话默认为散点图,只指定x的话默认为直方...
data("midwest", package = "ggplot2") # Scatterplot # 设置x轴和y轴范围 gg <- ggplot(midwest, aes(x=area, y=poptotal)) + geom_point(aes(col=state, size=popdensity)) + geom_smooth(method="loess", se=F) + xlim(c(0, 0.10)) + ylim(c(0, 500000)) + labs(subtitle="Area Vs ...
# loess method: local regression fitting p3 <- ggscatter(df, x = "wt", y = "mpg", add = "loess", conf.int = TRUE, cor.coef = TRUE, # Add correlation coefficient. see ?stat_cor cor.coeff.args = list(method = "spearma...
ggp+# Draw multiple line segmentsgeom_segment(data=data_lines, aes(x=x, y=y, xend=xend, yend=yend, col=col)) After running the previously shown R syntax the ggplot2 scatterplot shown in Figure 4 has been drawn. As you can see, we have added three lines with different colors and ...
To add a regression line on a scatter plot, the functiongeom_smooth()is used in combination with the argumentmethod = lm.lmstands for linear model. p <- ggplot(cars, aes(speed, dist)) + geom_point()# Add regression linep + geom_smooth(method = lm)# loess method: local regression ...
ggarrange(ggsurv$plot, ggsurv$table, heights = c(2, 0.7), ncol = 1, nrow = 2, align ="v") 改变排列图的行列 设置面板为两行两列,其中sp占据第一行的两列,bxp以及dp置于第二行的两列 ggarrange(sp,#First row with scatter plot(sp)ggarrange(bxp, dp, ncol = 2, labels = c("B","C...