代码语言:R 复制 library(ggplot2) # 导入数据集 data <- read.csv("data.csv") # 创建基础图层 p <- ggplot(data, aes(x = variable1, y = variable2)) # 添加几何对象 p <- p + geom_point() # 设置图形属性 p <- p + aes(color = variable3) # 添加标签和标题 p <- p + labs(x ...
library(gclus) mydata <- mtcars[c(1,3,5,6)] mydata.corr <- abs(cor(mydata)) mycolors <- dmat.color(mydata.corr) myorder <- order.single(mydata.corr) cpairs(mydata, myorder, panel.colors=mycolors, gap=.5, main=“Variables Ordered and Colored by Correlation”) 1. 2. 3. 4...
是否有一种方法可以更改facet_grid或facet_wrap中各个面的y轴的高度/长度例如, library(ggplot2) ggplot(economics_long[economics_long$variable %in% c("pop", "uempmed"),], aes(date, value)) + geom_line() + facet_grid(variable~., scales = "free_y") + theme(strip.background = element_bla...
##melt函数:首参选定数据框,次参选定记录标识列,variable.name选定拉长后的属性名列,value.name选定拉长后的属性值列 mydata <- data.frame( Name=c('苹果','谷歌','脸书','亚马逊','腾讯'), Company=c('Apple','Google','Facebook','Amozon','Tencent'), Sale2013=c(5000,3500,2300,2100,3100), ...
order by insert_date , site desc;") result <- fetch(query,n=-1) dbDisconnect(conn) head(result) # pdf("D:\\Users\\zhoumeixu204\\Desktop\\uv走势图.pdf",width=23,height=10,family="GB1",onefile=FALSE) p_uv<-ggplot(result,aes(x=insert_date,y=UV,color=site))+geom_point(alpha=1...
1.Plot One Variable - X, Continuous ggdensity()密度图 stat_overlay_normal_density()密度图,同时叠加正态分布的图,有助于检查偏离值 gghistogram()直方图。 ggecdf()经验累积密度分布图 ggqqplot()分位数-分位数图,简称QQ图。 什么是QQ图?
sd <- sd(variable[,2]) frame <- rbind(frame,cbind(mean = mean,sd = sd,order = j,group = group[j,2]))} frame$mean <- as.numeric(frame$mean) frame$sd <- as.numeric(frame$sd) p <- ggplot(frame,aes(x = reorder(group,order),y = mean))+ ...
The mutate() function of dplyr allows to create a new variable or modify an existing one. It is possible to use it to recreate a factor with a specific order. Here are 2 examples: The first use arrange() to sort your data frame, and reorder the factor following this desired order. ...
# Convert dose to a factor variable df2$dose=as.factor(df2$dose) head(df2) ## dose len sd ## 1 0.5 10.605 4.499763 ## 2 1 19.735 4.415436 ## 3 2 26.100 3.774150 创建图层 f <- ggplot(df2, aes(x = dose, y = len, ymin = len-sd, ymax = len+sd)) ...
- 1 tmp <- melt(tmp, id=c("group", "yshift"), variable.name="x", value.name=...