Aug 12, 2021 · For a more interpolated line you can try ggalt's x-spline approach. df %>% as_tibble() %>% pivot_longer(-1) %>% filter(grepl("12|13|14", name)) %>% ggplot(aes(Year, value, color = name)) + geom_point() + ggalt::geom_xspline()

Oct 25, 2022 · You can use the following basic syntax to plot multiple lines in ggplot2: geom_line(aes(color=group_var)) +. scale_color_manual(name='legend_title', labels=c('lab1', 'lab2', 'lab3'), values=c('color1', 'color2', 'color3')) This particular syntax creates a …

I need to plot multiple explicit functions definitions to compare them visually. Consider the family of functions: fun.1 <- function(x) { 1 / ( 0.01 + x) } fun.2 <- function(x) { 1 / ( 0.1 + x) } fun.3 <- function(x) { 1 / ( 0.3 + x) }

Jun 28, 2022 · You can use the following basic syntax to specify line colors in ggplot2: ggplot(df, aes(x=x, y=y, group=group_var, color=group_var)) + geom_line() + scale_color_manual(values=c(' color1 ', ' color2 ', ' color3 '))

ggplot2 works best if you work with a melted data.frame that contains a different column to specify the different aesthetics. Melting is easier with common column names, so I'd start there. Here are the steps I'd take: geom_line() +. scale_colour_manual(values = cols) Edited for clarity. The structure of newData:

Given a data frame in long format like df it is possible to create a line chart with multiple lines in ggplot2 with geom_line the following way. # install.packages("ggplot2") library(ggplot2) ggplot(df, aes(x = x, y = value, color = variable)) + geom_line()

Nov 1, 2022 · We can use the following syntax to create a plot in ggplot2 that contains multiple lines to represent the sales from the stores in both data frames: library (ggplot2) #create line plot using multiple data frames ggplot() + geom_line(data=df1, aes(x=day, y=sales), color=' steelblue ') + geom_line(data=df2, aes(x=day, y=sales), color=' coral2 ')

Jun 17, 2021 · In this example, we will be drawing five multiple lines with the different data and different colors of the line on a simple ggplot using the geom_line function from the ggplot2 package in the R programming language.

May 15, 2019 · A high-level overview of ggplot colors. By default, ggplot graphs use a black color for lines and points and a gray color for shapes like the rectangles in bar graphs. Sometimes this is fine for your purposes, but often you’ll want to modify these colors to something different.

Change line style with arguments like shape, size, color and more. Custom the general theme with the theme_ipsum() function of the hrbrthemes package. More generally, visit the [ggplot2 section] for more ggplot2 related stuff.