之前我们学习了ggplot绘制单变量，两个连续变量的图形，两个离散型变量。对于一个离散型变量，一个连续型变量，有很多作图方式，包括箱图，点图等等 • geom_boxplot() for box plot• geom_violin() for violin plot• geom_dotplot() for dot plot• geom_jitter() for stripchart• geom_line() ...
ggplot(economics, aes(x=date)) + geom_line(aes(y = psavert), color = "darkred") + geom_line(aes(y = uempmed), color="steelblue", linetype="twodash") + theme_minimal()require(reshape2)df <- melt(economics[, c("date", "psavert", "uempmed")], id="date")ggplot(df,...
# Basic line plotggplot(data=economics, aes(x = date, y = pop))+ geom_line()# Plot a subset of the datass <- subset(economics, date > as.Date("2006-1-1")) ggplot(data = ss, aes(x = date, y = pop)) + geom_line() Change line size : ggplot(data = economics, aes(x =...
Basic Line Plot library(plotly) dat1 <- data.frame( sex = factor(c("Female","Female","Male","Male")), time = factor(c("Lunch","Dinner","Lunch","Dinner"), levels=c("Lunch","Dinner")), total_bill = c(13.53, 16.81, 16.24, 17.42) ) p <- ggplot(data=dat1, aes(x=time, ...
function, ggplot2 theme name. Default value is theme_pubr(). Allowed values include ggplot2 official themes: theme_gray(), theme_bw(), theme_minimal(), theme_classic(), theme_void(), ... ... other arguments to be passed to geom_dotplot. Details...
代码语言:javascript 代码运行次数:0 运行 AI代码解释 table(df$journal) image.png 作图代码 代码语言:javascript 代码运行次数:0 运行 AI代码解释 ibrary(ggplot2)ggplot(df,aes(x=year,y=auth_num,col=journal,fill=journal))+stat_summary(fun.data="mean_cl_boot",geom="ribbon",#width=.2,alpha=I(....
grid）中所涉及到的线条。 今天以一个折线图为例，简要说明ggplot函数中关于线条的主要参数及其效 ...
8)Example 7: Add Line Segments to Specific Facets in ggplot2 Facet Plot 9)Video & Further Resources Let’s dive into it: Exemplifying Data, Add-On Packages & Basic Graphic Let’s first create some example data. data<-data.frame(x=1:6,# Create example data framey=c(5,3,4,8,2,3...
这里新学到的知识点是使用stat_summary()函数添加置信区间,之前自己也实现过这个图,但是需要提前算好置信区间和平均值,比如之前的推文 R语言ggplot2画带有置信区间的折线图和分组求均值遇到的一个问题,如果换成 stat_summary() 这个函数以后就方便很多 ...
Basic line plot A subset ofrestaurantdata is used : df<-restaurant[c(1,4), c("time", "total_bill")] head(df) ## time total_bill ## 1 Lunch 13.53 ## 4 Dinner 17.42 # Basic line plot of the values of "total_bill" variables ggplot2.lineplot(data=df, xName="time", yName='...