Multiple plot function for ggplotHadley Wickham
scale_fill_manual(values = my3cols)# 3. Create a line plotlp <- ggplot(economics, aes(x = date, y = psavert)) + geom_line(color ="#E46726")# 4. Density plotdens <- ggplot(iris, aes(Sepal.Length)) + geom_density(aes(color = Species)) + scale_color_manual(values = my...
scale_color_manual(values = my3cols)# 2. Create a dot plot (dp)dp <- p + geom_dotplot(aes(color = dose, fill = dose), binaxis='y', stackdir='center') + scale_color_manual(values = my3cols) + scale_fill_manual(values = my3cols)# 3. Create a line plotlp <- ggplot(econ...
Next, we have to create multiple ggplot2 plot objects that contain the graphs we want to illustrate in our plot layout: ggp1<-ggplot(data, aes(x, y))+# Create ggplot2 plot objectsgeom_point()ggp2<-ggplot(data, aes(x=1:nrow(data), y))+geom_line()ggp3<-ggplot(data, aes(x))+...
To arrange multiple ggplot2 graphs on the same page, the standard R functions - par() and layout() - cannot be used. This R tutorial will show you, step by step, how to put several ggplots on a single page. The functions grid.arrange()[in the package gridExtra] and plot_grid()[...
(), names_to = "Group", values_to = "Protein") # Count occurrence of each protein in each group df_count <- df_long %>% count(Group, Protein) # Create the plot ggplot(df_count, aes(x = Group, y = n, fill = Protein)) + geom_bar(stat = "identity") + geom_text(aes(...
library(ggplot2)# This example uses the ChickWeight dataset, which comes with ggplot2# First plotp1<-ggplot(ChickWeight,aes(x=Time,y=weight,colour=Diet,group=Chick))+geom_line()+ggtitle("Growth curve for individual chicks")# Second plotp2<-ggplot(ChickWeight,aes(x=Time,y=weight,colour=Diet...
Afterward, you plot accordingly with just a singlegeom_linecall and implement thecoloraesthetic ontype_of_y. It would look something like this: ggplot(df, aes(x=x, y=value_of_y)) + geom_line(aes(color=type_of_y)) By using this approach, you only need to specify onegeom_li...
a ggplot facet.by character vector, of length 1 or 2, specifying grouping variables for faceting the plot into multiple panels. Should be in the data. nrow, ncol Number of rows and columns in the panel. Used only when the data is faceted by one grouping variable. ...
4回答 将情节保存在对象中 、 在ggplot2中,可以很容易地将图形保存到R对象中。.) + geom_point() # does not display the graph标准函数plot以空函数的形式生成图形,并返回NULL。p = plot(1:10) # displays the graph p # NULL 浏览6提问于2015-04-11得票数 100 回答已采纳 ...