This script is used to draw a line or multiple lines using ggplot2. You can specify whether or not smooth your line or lines. Two types of input files are supported, normal matrix or melted matrix format. Column separator for both types of input files is **tab**. Here is an example ...
library(ggplot2) ggplot(data = df, aes(x = dose, y = len.mean, group =1)) + geom_line(linetype ="dashed")+ geom_point() Create a line plot for multiple groups. Change line types by groups. Data: # Compute the mean of `len` grouped by dose and supplibrary(dplyr) df2 <- ...
ggplot(df) + geom_line(aes(x=date, y=value, color=variable)) + labs(title="Economics")# plot multiple time series by melting 条形图 ggplot 默认创建的是 ‘counts’ 型的条形图,即计算某一列变量中每种值出现的频数,这时候无需指定y轴的变量 但是呢,如果想具体指定y轴的值,这时候一定要在geom...
ggplot2 3.3.3 https://cran.r-project.org/web/packages/ggplot2/index.html ggplot2movies 0.0.1 https://cran.r-project.org/web/packages/ggplot2movies/index.html ggpmisc 0.2.16 https://cran.r-project.org/web/packages/ggpmisc/index.html ggpubr 0.2.3 https://cran.r-project.org/web/package...
This script is used to draw a line or multiple lines using ggplot2. You can specify whether or not smooth your line or lines. Two types of input files are supported, normal matrix or melted matrix format. Column separator for both types of input files is **tab**. ...
13 ## 5 Male Lunch 40 ## 6 Male Dinner 17 # Line plot with multiple groups # Change line types and colors by groups (sex) ggplot(df2, aes(x=time, y=bill, group=sex)) + geom_line(aes(linetype = sex, color = sex))+ geom_point(aes(color=sex))+ theme(legend.position="top"...
get_pvalue_position: autocompute p-value positions for plotting significance using ggplot2. 促进R的ANOVA计算 factorial_design(): build factorial design for easily computing ANOVA using thecar::Anova()function. This might be very useful for repeated measures ANOVA, which is hard to set up with ...
最重要的是,plotly包还可以通过ggplotly函数将ggplot2图形转换为由plotly.js提供支持的交互式图形,使得熟悉R的使用者可以轻松绘制交互式图形。当然,plotly包将ggplot2图形转换成交互式图形的过程中可能会存在一些问题,需要使用者自行探究。 02 安装与加载 install.packages("plotly") ...
You need to change the first line of ggplot to include aes and it will work: sample_ribbon <- ggplot(sample_data, aes(x=chrom, y=average, group=sample)) The rest are fine. sample_ribbon <- sample_ribbon + geom_line() sample_ribbon <- sample_ribbon + geom_ribbon(aes(x=chrom,...
Create line plots In the graphs below, line types, colors and sizes are the same for the two groups : # Line plot with multiple groups ggplot(data=df2, aes(x=dose, y=len, group=supp)) + geom_line()+ geom_point() # Change line types ggplot(data=df2, aes(x=dose, y=len,...