我有以下数据框
library(ggplot2)
set.seed(149)
x <- data.frame(
region = factor(rep(1:10, each = 2)),
group = rep(c("O", "E"), 10),
mean = sample(1:2, 20, replace = TRUE)
)
x
region group mean
1 1 O 2
2 1 E 1
3 2 O 1
4 2 E 2
考虑一些没有出现级别的示例数据:
dat <- data.frame(sex = c("F","M","F"),
status = c("Pregnant","Not pregnant","Not pregnant"),
frequency = c(25,100,75))
在样本数据中,男性不能怀孕,所以他们没有数据。
我想用以下代码在R中使用R绘制数据:
library(ggplot2)
p <- ggplot(
我正在尝试获得类似于这里所示的背靠背条形图(或金字塔图):Population pyramid with gender and comparing across two time periods with ggplot2基本上是数量变量的金字塔图,其值必须显示为三个分类变量的组合。 library(ggplot2)
library(dplyr)
df <- data.frame(Gender = rep(c("M", "F"), each = 20),
Age = rep(c("0-10", "1
用fitdistrplus软件包中的fitdist函数对正态分布进行拟合。使用denscomp、qqcomp、cdfcomp和ppcomp,我们可以分别绘制histogram against fitted density functions、theoretical quantiles against empirical ones、the empirical cumulative distribution against fitted distribution functions和theoretical probabilities against empirical ones,如下所示。
set