stat_summary function - RDocumentation
stat_summary: Summarise y values at every unique x. stat_summary allows for tremendous flexibilty in the specification of summary functions. The summary function can either operate on a data frame (with argument name fun.data) or on a vector (fun.y, fun.ymax, fun.ymin). geom = "pointrange", position = "identity", ...)
r - Use stat_summary to annotate plot with number of …
How can I use stat_summary to label a plot with n = x where is x a variable? Here's an example of the desired output: I can make that above plot with this rather inefficient code: geom_boxplot(fill = "grey80", colour = "#3366FF") + .
How to Use stat_summary() Function in ggplot2 - Statology
Dec 5, 2023 · You can use the stat_summary() function in ggplot2 to create visualizations that display summary metrics of specific variables in a data frame. The following examples show how to use the stat_summary() function in practice with the following data frame in R:
Summarise y values at unique/binned x — stat_summary_bin
stat_summary() operates on unique x or y; stat_summary_bin() operates on binned x or y. They are more flexible versions of stat_bin(): instead of just counting, they can compute any aggregate.
r - Standard error bars using stat_summary - Stack Overflow
For example the following code produces a plot with 95% CI error bars: stat_summary(fun.y = mean, geom = "bar") + . stat_summary(fun.data = mean_sdl, geom = "errorbar") My question is how to use the stat_summary implementation for standard error bars.
How to Calculate Summary Statistics in R Using dplyr - Statology
Jan 30, 2023 · You can use the following syntax to calculate summary statistics for all numeric variables in a data frame in R using functions from the dplyr package: library(tidyr) list(min = min, median = median, mean = mean, stdev = sd, q25 = ~quantile(., 0.25), q75 = ~quantile(., 0.75), max = max))) %>%
8.4 Important Tidyverse Functions | R for Graduate Students
One of the classic methods to graph is by using the stat_summary() function. We begin by using the ggplot() function, which requires the name of the dataset, we’ll use mydata from our previous example, followed by the aes() function that encompasses the x and y variable specifications.
stat_summary : Summarise y values at unique/binned x
Jun 22, 2024 · stat_summary() operates on unique x or y; stat_summary_bin() operates on binned x or y. They are more flexible versions of stat_bin(): instead of just counting, they can compute any aggregate. mapping = NULL, data = NULL, geom = "pointrange", position = "identity", ..., fun.data = NULL, fun = NULL, fun.max = NULL, fun.min = NULL, fun.args = list(),
Correct use of fun.data with stat_summary in ggplot2?
Jan 20, 2015 · stat_summary(aes(x= median(sales), y= revenue), fun.y= median, geom= 'point', color= 'red') Now, stat_summary can 'see' only 1 x aesthetic and the entire y vector in the fun.y input. If that's not fun enough, you can trick fun.data into seeing other vectors of your frame, for example, let's say you needed a weighted mean instead of a median.
ggplot2: stat_summary – R documentation - Quantargo
stat_summary() operates on unique x or y; stat_summary_bin() operates on binned x or y. They are more flexible versions of stat_bin(): instead of just counting, they can compute any aggregate.