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3 de abr. de 2020 · I've created a plot with geom_line and geom_ribbon (image 1) and the result is okay, but for the sake of aesthetics, I'd like the line and ribbon to be smoother. I know I can use geom_smooth for th...
5 de abr. de 2019 · The standard way of using geom_ribbon is to have a fixed value of x and some values for ymin and ymax. The input would be a dataframe like df_x: x = c(1, 2), ymax = c(0.5, 0.8), ymin = c(0.4, 0.3) geom_ribbon(aes(x = x, ymin = ymin, ymax = ymax)) However, I have a dataset that contains the inverse: a fixed value of y and some values for xmin ...
24 de nov. de 2017 · I am using the following code to plot my data but I cannot manage to set the colours to geom_ribbon properly. My graph contains 4 lines, each of one with a different color. I want the 'geom_ribbon' of each line to have the same color as its line (with transparency - alpha).
27 de oct. de 2023 · Plot your confidence interval easily with R! With ggplot2 geom_ribbon() function you can add shadowed areas to your lines. We show you how to deal with it! Carlos Vecina. Last updated on2023-10-27R, Tips. Exploring the Versatility of ggplot2 and geom_ribbon() in Data Visualization.
This post explains how to add an error envelop around a line chart using ggplot2 and the geom_ribbon() function.
1 de feb. de 2018 · First off: Not a fan of that ribbon-styled stacked bar chart at all; while colourful and stylish, it's difficult to synthesise the relevant information. But that's just my opinion. You could try building a similar plot in ggplot2 using geom_ribbon. See below for a minimal example: x = rep(1:10, 2), y = c(one, two), l = c(one - 1, two - 1), h ...
8 de ene. de 2018 · Since conf.int = 1, this plots a ribbon between the minimum and maximum at each x value, with the median as the line. If you actually want to plot 25th and 75th percentiles, set conf.int = 0.5 . On this data, there aren't enough observations at each x value for that to look very different, though, so on some new sample data,
