In charlotte-ngs/lbgfs2021: Livestock Breeding and Genomics (ETHZ) - Fall Semester 2021
Use ggplot2 to draw a normal distribution
library(ggplot2)
x_lim_low <- -3
x_lim_up <- 3
p2 <- ggplot(data.frame(x = c(x_lim_low, x_lim_up)), aes(x)) +
stat_function(
fun = dnorm,
geom = "line") +
xlab("") +
ylab("") +
scale_x_continuous(breaks = NULL) +
scale_y_continuous(breaks = NULL)
p2
charlotte-ngs/lbgfs2021 documentation built on Dec. 19, 2021, 3:01 p.m.
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Use ggplot2 to draw a normal distribution
library(ggplot2) x_lim_low <- -3 x_lim_up <- 3 p2 <- ggplot(data.frame(x = c(x_lim_low, x_lim_up)), aes(x)) + stat_function( fun = dnorm, geom = "line") + xlab("") + ylab("") + scale_x_continuous(breaks = NULL) + scale_y_continuous(breaks = NULL) p2
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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